Electrical Engineering and Computer Sciences/Nuclear Engineering Joint Major

This is an archived copy of the 2021-22 guide. To access the most recent version of the guide, please visit http://guide.berkeley.edu.

About the Program

Bachelor of Science (BS)

The joint major programs are designed for students who wish to undertake study in two areas of engineering in order to qualify for employment in either field or for positions in which competence in two fields is required. These curricula include the core courses in each of the major fields. While they require slightly increased course loads, they can be completed in four years.

The electrical engineering and computer sciences (EECS)/nuclear engineering (NE) joint major combines the traditional electrical engineering (EE) program with one in the nuclear sciences. Nuclear engineering shares with electrical engineering a concern for electrical power generation, automatic control, computer science, and plasmas.

Admission to the Joint Major

Admission directly to a joint major is closed to freshmen and junior transfer applicants. Students interested in a joint program may apply to change majors during specific times during their academic programs. Please see the College of Engineering joint majors website for complete details.

Visit Program Website

Major Requirements

In addition to the University, campus, and college requirements, students must fulfill the requirements below, specific to their major program.

General Guidelines

All technical courses taken in satisfaction of major requirements must be taken for a letter grade.
No more than one upper division course may be used simultaneously to fulfill requirements for a student’s major and minor programs.
A minimum overall grade point average (GPA) of 2.0 is required for all work undertaken at UC Berkeley.
A minimum GPA of 2.0 is required for all technical courses taken in satisfaction of major requirements.

For information regarding residence requirements and unit requirements, please see the College Requirements tab.

For a detailed plan of study by year and semester, please see the Plan of Study tab.

Lower Division Requirements

Course List
Code	Title	Units
MATH 1A	Calculus	4
MATH 1B	Calculus	4
MATH 53	Multivariable Calculus	4
MATH 54	Linear Algebra and Differential Equations	4
CHEM 1A & 1AL	General Chemistry and General Chemistry Laboratory ¹	5
or CHEM 4A	General Chemistry and Quantitative Analysis
PHYSICS 7A & PHYSICS 7B & PHYSICS 7C	Physics for Scientists and Engineers and Physics for Scientists and Engineers and Physics for Scientists and Engineers	12-13
or PHYSICS 5A & PHYSICS 5B & PHYSICS 5BL & PHYSICS 5C & PHYSICS 5CL	Introductory Mechanics and Relativity and Introductory Electromagnetism, Waves, and Optics and Introduction to Experimental Physics I and Introductory Thermodynamics and Quantum Mechanics and Introduction to Experimental Physics II
ENGIN 40	Engineering Thermodynamics	4
MAT SCI 45	Properties of Materials	3
MAT SCI 45L	Properties of Materials Laboratory	1
EECS 16A	Designing Information Devices and Systems I	4
EECS 16B	Designing Information Devices and Systems II	4
COMPSCI 61A	The Structure and Interpretation of Computer Programs	4
or ENGIN 7	Introduction to Computer Programming for Scientists and Engineers
COMPSCI 61B	Data Structures	4
or COMPSCI 61BL	Data Structures and Programming Methodology

CHEM 4A is intended for students majoring in chemistry or a closely-related field.

Upper Division Requirements

Course List
Code	Title	Units
NUC ENG 100	Introduction to Nuclear Energy and Technology	3
NUC ENG 101	Nuclear Reactions and Radiation	4
NUC ENG 104	Radiation Detection and Nuclear Instrumentation Laboratory	4
NUC ENG 150	Introduction to Nuclear Reactor Theory	4
NUC ENG 170A	Nuclear Design: Design in Nuclear Power Technology and Instrumentation	3
EL ENG 105	Microelectronic Devices and Circuits	4
EL ENG 117	Electromagnetic Fields and Waves	4
EL ENG 120	Signals and Systems	4
STAT 134	Concepts of Probability	4
or EECS 126	Probability and Random Processes
Ethics Requirement ¹		3-4
NUC ENG upper division Technical Electives: Select 9 units in consultation with faculty advisor (see below).		9
EECS upper division Technical Electives: Select 8 units in consultation with faculty advisor (see below).		8

Students must take one course with ethics content. This may be fulfilled within the Humanities/Social Sciences requirement by taking one of the following courses: ANTHRO 156B, BIO ENG 100, ENGIN 125, ENGIN 157AC, ENGIN 185, ESPM 161, ESPM 162, GEOG 31, IAS 157AC, ISF 100E, L&S 160B, PHILOS 2, PHILOS 104, PHILOS 107, and SOCIOL 116.

Nuclear Engineering Technical Electives

Students must complete at least 9 units of upper division nuclear engineering courses from the following groups. The groups are presented to aid undergraduate students in focusing their choices on specific professional goals; however, the electives selected need not be from any single group. Courses listed from other departments in these groups may be taken to provide further depth but may not be used toward the 9 units.

Course List
Code	Title	Units
Beam and Accelerator Applications
NUC ENG 155	Introduction to Numerical Simulations in Radiation Transport	3
NUC ENG 180	Introduction to Controlled Fusion	3
PHYSICS 110A	Electromagnetism and Optics	4
PHYSICS 110B	Electromagnetism and Optics	4
PHYSICS 129	Particle Physics	4
PHYSICS 139	Special Relativity and General Relativity	3
PHYSICS 142	Introduction to Plasma Physics	4
Bionuclear Engineering
BIO ENG C165	Medical Imaging Signals and Systems	4
EL ENG 120	Signals and Systems	4
NUC ENG 107	Introduction to Imaging	3
NUC ENG 162	Radiation Biophysics and Dosimetry	3
Fission Power Engineering
MEC ENG 106	Fluid Mechanics	3-4
or CHM ENG 150A	Transport Processes
MEC ENG 109	Heat Transfer	3-4
or CHM ENG 150A	Transport Processes
NUC ENG 120	Nuclear Materials	4
NUC ENG 124	Radioactive Waste Management	3
NUC ENG 155	Introduction to Numerical Simulations in Radiation Transport	3
NUC ENG 161	Nuclear Power Engineering	4
NUC ENG 167	Risk-Informed Design for Advanced Nuclear Systems	3
NUC ENG 175	Methods of Risk Analysis	3
Fusion Power Engineering
NUC ENG 120	Nuclear Materials	4
NUC ENG 155	Introduction to Numerical Simulations in Radiation Transport	3
NUC ENG 180	Introduction to Controlled Fusion	3
PHYSICS 110A	Electromagnetism and Optics	4
PHYSICS 110B	Electromagnetism and Optics	4
PHYSICS 142	Introduction to Plasma Physics	4
Homeland Security and Nonproliferation
CHEM 143	Nuclear Chemistry	2
NUC ENG 107	Introduction to Imaging	3
NUC ENG 130	Analytical Methods for Non-proliferation	3
NUC ENG 155	Introduction to Numerical Simulations in Radiation Transport	3
NUC ENG 175	Methods of Risk Analysis	3
PHYSICS 110A	Electromagnetism and Optics	4
PHYSICS 110B	Electromagnetism and Optics	4
PHYSICS 111A	Instrumentation Laboratory	4
PHYSICS 111B	Advanced Experimentation Laboratory	1-3
Materials in Nuclear Technology
MAT SCI 102	Bonding, Crystallography, and Crystal Defects	3
MAT SCI 104	Materials Characterization	3
MAT SCI 112	Corrosion (Chemical Properties)	3
MAT SCI 113	Mechanical Behavior of Engineering Materials	3
NUC ENG 120	Nuclear Materials	4
NUC ENG 124	Radioactive Waste Management	3
NUC ENG 155	Introduction to Numerical Simulations in Radiation Transport	3
NUC ENG 161	Nuclear Power Engineering	4
Nuclear Fuel Cycles and Waste Management
CHM ENG 150A	Transport Processes	4
CHM ENG 150B	Transport and Separation Processes	4
ENGIN 120	Principles of Engineering Economics	3
MAT SCI 112	Corrosion (Chemical Properties)	3
NUC ENG 120	Nuclear Materials	4
NUC ENG 124	Radioactive Waste Management	3
NUC ENG 155	Introduction to Numerical Simulations in Radiation Transport	3
NUC ENG 161	Nuclear Power Engineering	4
NUC ENG 175	Methods of Risk Analysis	3
Radiation and Health Physics
NUC ENG 120	Nuclear Materials	4
NUC ENG 155	Introduction to Numerical Simulations in Radiation Transport	3
NUC ENG 162	Radiation Biophysics and Dosimetry	3
NUC ENG 180	Introduction to Controlled Fusion	3
Risk, Safety and Systems Analysis
CIV ENG 193	Engineering Risk Analysis	3
CHM ENG 150A	Transport Processes	4
ENGIN 120	Principles of Engineering Economics	3
IND ENG 166	Decision Analytics	3
NUC ENG 120	Nuclear Materials	4
NUC ENG 124	Radioactive Waste Management	3
NUC ENG 155	Introduction to Numerical Simulations in Radiation Transport	3
NUC ENG 161	Nuclear Power Engineering	4
NUC ENG 167	Risk-Informed Design for Advanced Nuclear Systems	3
NUC ENG 175	Methods of Risk Analysis	3

Electrical Engineering Technical Electives

Students must complete at least 8 units of upper division electrical engineering courses from the following lists:

Course List
Code	Title	Units
Electromagnetics and Plasmas
EL ENG 118	Introduction to Optical Engineering	4
EL ENG C239	Partially Ionized Plasmas	3
Electronics
EL ENG 130	Integrated-Circuit Devices	4
EL ENG 140	Linear Integrated Circuits	4
EL ENG 143	Microfabrication Technology	4
EECS 151 & 151LA	Introduction to Digital Design and Integrated Circuits and Application Specific Integrated Circuits Laboratory	5
or EECS 151 & 151LB	Introduction to Digital Design and Integrated Circuits and Field-Programmable Gate Array Laboratory
Power Systems and Control
EL ENG 113	Power Electronics	4
EL ENG C128	Feedback Control Systems	4
EL ENG 134	Fundamentals of Photovoltaic Devices	4
EL ENG 137A	Introduction to Electric Power Systems	4
EL ENG 137B	Introduction to Electric Power Systems	4

Five-Year BS/MS

This program is geared toward students who would like to pursue an education beyond the BS/BA, allowing them to achieve greater breadth and/or depth of knowledge, and who would like to try their hand at research as well. It is not intended for students who have definitely decided to pursue a PhD immediately following graduation. Those students are advised to apply for a PhD program at Berkeley or elsewhere during their senior year. Students who have been accepted into the five-year BA/MS or BS/MS are free to change their minds later and apply to enter the PhD program or apply to a PhD program at another university. Note that admission for Fifth Year MS applicants to the Berkeley PhD program is competitive with our other PhD applicants.

The program is focused on interdisciplinary training at a graduate level, with at least 8 units of course work outside EECS required. Students will emerge as leaders in their technical and professional fields.

Focus on interdisciplinary study and more experience in aligned technical fields such as physics, materials science, statistics, biology, etc., and/or professional disciplines such as management of technology, business, law and public policy.
With admission to the Fifth Year MS program, students must begin their graduate degree in the semester immediately following the conferral of the bachelor's degree.
One additional year (two semesters) only is permitted beyond the bachelor's degree.
Available only to Berkeley EECS and L&S CS undergraduates.
Participants in program may serve as graduate student instructors with approval from their faculty research adviser and the 5th Year MS Committee.
Participants in program are self-funded.

For further information regarding this program, please see the EECS department's website

College Requirements

Students in the College of Engineering must complete no fewer than 120 semester units with the following provisions:

Completion of the requirements of one engineering major program of study.
A minimum overall grade point average of 2.00 (C average) and a minimum 2.00 grade point average in upper division technical coursework required of the major.
The final 30 units and two semesters must be completed in residence in the College of Engineering on the Berkeley campus.
All technical courses (math, science, and engineering) that can fulfill requirements for the student's major must be taken on a letter graded basis (unless they are only offered P/NP).
Entering freshmen are allowed a maximum of eight semesters to complete their degree requirements. Entering junior transfers are allowed five semesters to complete their degree requirements. Summer terms are optional and do not count toward the maximum. Students are responsible for planning and satisfactorily completing all graduation requirements within the maximum allowable semesters.
Adhere to all college policies and procedures as they complete degree requirements.
Complete the lower division program before enrolling in upper division engineering courses.

Humanities and Social Sciences (H/SS) Requirement

To promote a rich and varied educational experience outside of the technical requirements for each major, the College of Engineering has a six-course Humanities and Social Sciences breadth requirement, which must be completed to graduate. This requirement, built into all the engineering programs of study, includes two Reading and Composition courses (R&C), and four additional courses within which a number of specific conditions must be satisfied. See the humanities and social sciences section of our website for details.

Class Schedule Requirements

Minimum units per semester: 12.0
Maximum units per semester: 20.5
Minimum technical courses: College of Engineering undergraduates must include at least two letter graded technical courses (of at least 3 units each) in their semester program. Every semester students are expected to make satisfactory progress in their declared major. Satisfactory progress is determined by the student's Engineering Student Services Advisor. (Note: For most majors, normal progress will require enrolling in 3-4 technical courses each semester). Students who are not in compliance with this policy by the end of the fifth week of the semester are subject to a registration block that will delay enrollment for the following semester.
All technical courses (math, science, engineering) that satisfy requirements for the major must be taken on a letter-graded basis (unless only offered as P/NP).

Minimum Academic (Grade) Requirements

Minimum overall and semester grade point averages of 2.00 (C average) are required of engineering undergraduates. Students will be subject to dismissal from the University if during any fall or spring semester their overall UC GPA falls below a 2.00, or their semester GPA is less than 2.00.
Students must achieve a minimum grade point average of 2.00 (C average) in upper division technical courses required for the major curriculum each semester.
A minimum overall grade point average of 2.00 and a minimum 2.00 grade point average in upper division technical course work required for the major are required to earn a Bachelor of Science in the College of Engineering.

Unit Requirements

To earn a Bachelor of Science in Engineering, students must complete at least 120 semester units of courses subject to certain guidelines:

Completion of the requirements of one engineering major program of study.
A maximum of 16 units of special studies coursework (courses numbered 97, 98, 99, 197, 198, or 199) is allowed to count towards the B.S. degree, and no more than 4 units in any single term can be counted.
A maximum of 4 units of physical education from any school attended will count towards the 120 units.
Passed (P) grades may account for no more than one third of the total units completed at UC Berkeley, Fall Program for Freshmen (FPF), UC Education Abroad Program (UCEAP), or UC Berkeley Washington Program (UCDC) toward the 120 overall minimum unit requirement. Transfer credit is not factored into the limit. This includes transfer units from outside of the UC system, other UC campuses, credit-bearing exams, as well as UC Berkeley Extension XB units.

Normal Progress

Students in the College of Engineering must enroll in a full-time program and make normal progress each semester toward the bachelor's degree. The continued enrollment of students who fail to achieve minimum academic progress shall be subject to the approval of the dean. (Note: Students with official accommodations established by the Disabled Students' Program, with health or family issues, or with other reasons deemed appropriate by the dean may petition for an exception to normal progress rules.)

UC and Campus Requirements

University of California Requirements

Entry Level Writing

All students who will enter the University of California as freshmen must demonstrate their command of the English language by fulfilling the Entry Level Writing Requirement. Satisfaction of this requirement is also a prerequisite to enrollment in all Reading and Composition courses at UC Berkeley.

American History and American Institutions

The American History and Institutions requirements are based on the principle that a U.S. resident who has graduated from an American university should have an understanding of the history and governmental institutions of the United States.

Campus Requirement

American Cultures

The American Cultures requirement is a Berkeley campus requirement, one that all undergraduate students at Berkeley need to pass in order to graduate. You satisfy the requirement by passing, with a grade not lower than C- or P, an American Cultures course. You may take an American Cultures course any time during your undergraduate career at Berkeley. The requirement was instituted in 1991 to introduce students to the diverse cultures of the United States through a comparative framework. Courses are offered in more than fifty departments in many different disciplines at both the lower and upper division level.

The American Cultures requirement and courses constitute an approach that responds directly to the problem encountered in numerous disciplines of how better to present the diversity of American experience to the diversity of American students whom we now educate.

Faculty members from many departments teach American Cultures courses, but all courses have a common framework. The courses focus on themes or issues in United States history, society, or culture; address theoretical or analytical issues relevant to understanding race, culture, and ethnicity in American society; take substantial account of groups drawn from at least three of the following: African Americans, indigenous peoples of the United States, Asian Americans, Chicano/Latino Americans, and European Americans; and are integrative and comparative in that students study each group in the larger context of American society, history, or culture.

This is not an ethnic studies requirement, nor a Third World cultures requirement, nor an adjusted Western civilization requirement. These courses focus upon how the diversity of America's constituent cultural traditions have shaped and continue to shape American identity and experience.

Visit the Class Schedule or the American Cultures website for the specific American Cultures courses offered each semester. For a complete list of approved American Cultures courses at UC Berkeley and California Community Colleges, please see the American Cultures Subcommittee’s website. See your academic adviser if you have questions about your responsibility to satisfy the American Cultures breadth requirement.

Plan of Study

For more detailed information regarding the courses listed below (e.g., elective information, GPA requirements, etc.), please see the Major Requirements tab.

Freshman
Fall	Units	Spring	Units
CHEM 4A or 1A and 1AL	5	MATH 1B	4
MATH 1A	4	COMPSCI 61B or 61BL	4
COMPSCI 61A or ENGIN 7	4	PHYSICS 7A or 5A¹	3-4
Reading & Composition Part A Course⁴	4	Reading & Composition Part B Course⁴	4
	17		15-16
Sophomore
Fall	Units	Spring	Units
EECS 16A	4	EECS 16B	4
MAT SCI 45	3	MATH 54	4
MAT SCI 45L	1	PHYSICS 7C or 5C and 5CL¹	4-5
MATH 53	4	Humanities/Social Sciences Course⁴	3-4
PHYSICS 7B or 5B and 5BL¹	4-5
	16-17		15-17
Junior
Fall	Units	Spring	Units
EL ENG 120	4	NUC ENG 101	4
ENGIN 40	4	NUC ENG 150	4
NUC ENG 100	3	STAT 134 or EECS 126	4
Humanities/Social Sciences course with Ethics content^2,4	3-4	Humanities/Social Sciences course⁴	3-4
	14-15		15-16
Senior
Fall	Units	Spring	Units
EL ENG 105	4	EL ENG 117	4
NUC ENG 104	4	NUC ENG 170A	3
Technical Electives³	9	Technical Electives³	8
		Humanities/Social Sciences course⁴	3-4
	17		18-19
Total Units: 127-134

Students may choose to take the Physics 7 series or the Physics 5 series. Students who fulfill Physics 7A with an AP exam score, transfer work, or at Berkeley may complete the physics requirement by taking either Physics 7B and 7C, or Physics 5B/5BL and 5C/5CL. Students who take Physics 5A must take Physics 5B/5BL and 5C/5CL to complete the physics requirement. Completion of Physics 5A and Physics 7B and Physics 7C will not fulfill the physics requirement.

Students must take one course with ethics content. This may be fulfilled within the Humanities/Social Sciences requirement by taking one of the following courses: ANTHRO 156B, BIO ENG 100, ENGIN 125, ENGIN 157AC, ENGIN 185, ESPM 161, ESPM 162, GEOG 31, IAS 157AC, ISF 100E, L & S 160B, PHILOS 2, PHILOS 104, PHILOS 107, and SOCIOL 116.

See Major Requirements tab for list of technical elective courses.

⁴

The Humanities/Social Sciences (H/SS) requirement includes two approved Reading & Composition (R&C) courses and four additional approved courses, with which a number of specific conditions must be satisfied. R&C courses must be taken for a letter grade (C- or better required). The first half (R&C Part A) must be completed by the end of the freshman year; the second half (R&C Part B) must be completed by no later than the end of the sophomore year. The remaining courses may be taken at any time during the program. See engineering.berkeley.edu/hss for complete details and a list of approved courses.

Student Learning Goals

Electrical Engineering and Computer Sciences

MISSION

Preparing graduates to pursue postgraduate education in electrical engineering, computer science, or related fields.
Preparing graduates for success in technical careers related to electrical and computer engineering, or computer science and engineering.
Preparing graduates to become leaders in fields related to electrical and computer engineering or computer science and engineering.

LEARNING GOALS

EE

An ability to apply knowledge of mathematics, science, and engineering.
An ability to configure, apply test conditions, and evaluate outcomes of experimental systems.
An ability to design systems, components, or processes that conform to given specifications and cost constraints.
An ability to work cooperatively, respectfully, creatively, and responsibly as a member of a team.
An ability to identify, formulate, and solve engineering problems.
An understanding of the norms of expected behavior in engineering practice and their underlying ethical foundations.
An ability to communicate effectively by oral, written, and graphical means.
An awareness of global and societal concerns and their importance in developing engineering solutions.
An ability to independently acquire and apply required information, and an appreciation of the associated process of life-long learning.
A knowledge of contemporary issues.
An in-depth ability to use a combination of software, instrumentation, and experimental techniques practiced in circuits, physical electronics, communication, networks and systems, hardware, programming, and computer science theory.

CS

An ability to apply knowledge of computing and mathematics appropriate to the program’s student outcomes and to the discipline.
An ability to analyze a problem, and identify and define the computing requirements appropriate to its solution.
An ability to design, implement, and evaluate a computer-based system, process, component, or program to meet desired needs.
An ability to function effectively on teams to accomplish a common goal.
An understanding of professional, ethical, legal, security and social issues and responsibilities.
An ability to communicate effectively with a range of audiences.
An ability to analyze the local and global impact of computing on individuals, organizations, and society.
Recognition of the need for and an ability to engage in continuing professional development.
An ability to use current techniques, skills, and tools necessary for computing practice.

Nuclear Engineering

MISSION

The mission of the Department of Nuclear Engineering is to maintain and strengthen the University of California's only center of excellence in nuclear engineering education and research and to serve California and the nation by improving and applying nuclear science and technology. The mission of the undergraduate degree program in Nuclear Engineering is to prepare our students to begin a lifetime of technical achievement and professional leadership in academia, government, the national laboratories, and industry.

LEARNING GOALS

The foundation of the UC Berkeley Nuclear Engineering (NE) program is a set of five key objectives for educating undergraduate students. The NE program continuously reviews these objectives internally to ensure that they meet the current needs of the students, and each spring the Program Advisory Committee meets to review the program and recommend changes to better serve students. The NE Program Advisory Committee was established in 1988 and is composed of senior leaders from industry, the national laboratories, and academia.

Nuclear engineering at UC Berkeley prepares undergraduate students for employment or advanced studies with four primary constituencies: industry, the national laboratories, state and federal agencies, and academia (graduate research programs). Graduate research programs are the dominant constituency. From 2000 to 2005, sixty-eight percent of graduating NE seniors indicated plans to attend graduate school in their senior exit surveys. To meet the needs of these constituencies, the objectives of the NE undergraduate program are to produce graduates who as practicing engineers and researchers do the following:

Apply solid knowledge of the fundamental mathematics and natural (both physical and biological) sciences that provide the foundation for engineering applications.
Demonstrate an understanding of nuclear processes, and the application of general natural science and engineering principles to the analysis and design of nuclear and related systems of current and/or future importance to society.
Exhibit strong, independent learning, analytical and problem-solving skills, with special emphasis on design, communication, and an ability to work in teams.
Demonstrate an understanding of the broad social, ethical, safety, and environmental context within which nuclear engineering is practiced.
Value and practice life-long learning.

Courses

Select a subject to view courses

Electrical Engineering and Computer Sciences
Nuclear Engineering

Electrical Engineering and Computer Sciences

Terms offered: Fall 2022, Fall 2021, Fall 2017
The Freshman Seminar Program has been designed to provide new students with the opportunity to explore an intellectual topic with a faculty member in a small seminar setting. Freshman seminars are offered in all campus departments, and topics may vary from department to department and semester to semester.
Freshman Seminar: Read More [+]

Rules & Requirements

Repeat rules: Course may be repeated for credit without restriction.

Hours & Format

Fall and/or spring: 15 weeks - 1 hour of seminar per week

Additional Details

Subject/Course Level: Electrical Engineering/Undergraduate

Grading/Final exam status: The grading option will be decided by the instructor when the class is offered. Final exam required.

Freshman Seminar: Read Less [-]

Terms offered: Fall 2011
A Berkeley Electrical Engineering and Computer Sciences degree opens the door to many opportunities, but what exactly are they? Graduation is only a few years away and it's not too early to find out. In this seminar students will hear from practicing engineers who recently graduated. What are they working on? Are they working in a team? What do they wish they had learned better? How did they find their jobs?
What Electrical Engineers Do--Feedback from Recent Graduates: Read More [+]

Hours & Format

Fall and/or spring: 15 weeks - 1 hour of lecture per week

Additional Details

Subject/Course Level: Electrical Engineering/Undergraduate

Grading/Final exam status: Offered for pass/not pass grade only. Final exam not required.

Instructor: Boser

What Electrical Engineers Do--Feedback from Recent Graduates: Read Less [-]

Terms offered: Fall 2022, Spring 2022, Fall 2021
Freshman and sophomore seminars offer lower division students the opportunity to explore an intellectual topic with a faculty member and a group of peers in a small-seminar setting. These seminars are offered in all campus departments; topics vary from department to department and from semester to semester. Enrollment limits are set by the faculty, but the suggested limit is 25.
Freshman/Sophomore Seminar: Read More [+]

Rules & Requirements

Prerequisites: Priority given to freshmen and sophomores

Repeat rules: Course may be repeated for credit when topic changes.

Hours & Format

Fall and/or spring: 15 weeks - 2-4 hours of seminar per week

Additional Details

Subject/Course Level: Electrical Engineering/Undergraduate

Grading/Final exam status: The grading option will be decided by the instructor when the class is offered. Final exam required.

Freshman/Sophomore Seminar: Read Less [-]

Terms offered: Fall 2013, Summer 2013 8 Week Session, Spring 2013
This course serves as an introduction to the principles of electrical engineering, starting from the basic concepts of voltage and current and circuit elements of resistors, capacitors, and inductors. Circuit analysis is taught using Kirchhoff's voltage and current laws with Thevenin and Norton equivalents. Operational amplifiers with feedback are introduced as basic building blocks for amplication and filtering. Semiconductor devices including diodes and MOSFETS and their IV characteristics are covered. Applications of diodes for rectification, and design of MOSFETs in common source amplifiers are taught. Digital logic gates and design using CMOS as well as simple flip-flops are introduced. Speed and scaling issues for CMOS are considered. The course includes as motivating examples designs of high level applications including logic circuits, amplifiers, power supplies, and communication links.
Introduction to Digital Electronics: Read More [+]

Rules & Requirements

Prerequisites: Mathematics 1B

Credit Restrictions: Students will receive no credit for 42 after taking 40 or 100.

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture and 1 hour of discussion per week

Summer: 8 weeks - 6 hours of lecture and 2 hours of discussion per week

Additional Details

Subject/Course Level: Electrical Engineering/Undergraduate

Grading/Final exam status: Letter grade. Final exam required.

Introduction to Digital Electronics: Read Less [-]

Terms offered: Spring 2020, Spring 2019, Fall 2018
Electronics has become pervasive in our lives as a powerful technology with applications in a wide range of fields including healthcare, environmental monitoring, robotics, or entertainment. This course teaches how to build electronic circuits that interact with the environment through sensors and actuators and how to communicate wirelessly with the internet to cooperate with other devices and with humans. In the laboratory students design and build representative samples such as solar harvesters, robots, that exchange information with or are controlled from the cloud.
Electronics for the Internet of Things: Read More [+]

Objectives & Outcomes

Course Objectives: Electronics has become a powerful and ubiquitous technology supporting solutions to a wide range of applications in fields ranging from science, engineering, healthcare, environmental monitoring, transportation, to entertainment. The objective of this course is to teach students majoring in these and related subjects how to use electronic devices to solve problems in their areas of expertise.
Through the lecture and laboratory, students gain insight into the possibilities and limitations of the technology and how to use electronics to help solve problems. Students learn to use electronics to interact with the environment through sound, light, temperature, motion using sensors and actuators, and how to use electronic computation to orchestrate the interactions and exchange information wirelessly over the internet.

Student Learning Outcomes: Deploy electronic sensors and interface them to microcontrollers through digital and analog channels as well as common protocols (I2C, SPI),
Design, build and test electronic devices leveraging these concepts.
Interact with the internet and cloud services using protocols such as http, MQTT, Blynk,
Interface DC motors, steppers and servos to microcontrollers,
Represent information with voltage, current, power, and energy and how to measure these quantities with laboratory equipment,
To use and program low-cost and low-power microcontrollers for sensing, actuation, and information processing, and find and use program libraries supporting these tasks
Understand and make basic low-pass and high-pass filters, Wheatstone bridge etc.
Use electronics to sense and actuate physical parameters such as temperature, humidity, sound, light, and motion,

Rules & Requirements

Prerequisites: ENGIN 7, COMPSCI 10, or equivalent background in computer programming (including COMPSCI 61A or COMPSCI C8 / INFO C8 / STAT C8); MATH 1A or equivalent background in Calculus

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture, 2 hours of discussion, and 3 hours of laboratory per week

Additional Details

Subject/Course Level: Electrical Engineering/Undergraduate

Grading/Final exam status: Letter grade. Final exam required.

Instructor: Boser

Electronics for the Internet of Things: Read Less [-]

Terms offered: Fall 2022, Spring 2022, Fall 2021
Sophomore seminars are small interactive courses offered by faculty members in departments all across the campus. Sophomore seminars offer opportunity for close, regular intellectual contact between faculty members and students in the crucial second year. The topics vary from department to department and semester to semester. Enrollment limited to 15 sophomores.
Sophomore Seminar: Read More [+]

Rules & Requirements

Prerequisites: At discretion of instructor

Repeat rules: Course may be repeated for credit when topic changes.

Hours & Format

Fall and/or spring:
5 weeks - 3-6 hours of seminar per week
10 weeks - 1.5-3 hours of seminar per week
15 weeks - 1-2 hours of seminar per week

Summer:
6 weeks - 2.5-5 hours of seminar per week
8 weeks - 1.5-3.5 hours of seminar per week

Additional Details

Subject/Course Level: Electrical Engineering/Undergraduate

Grading/Final exam status: The grading option will be decided by the instructor when the class is offered. Final exam required.

Sophomore Seminar: Read Less [-]

Terms offered: Spring 2016, Fall 2015, Spring 2015
Students take part in organized individual field sponsored programs with off-campus companies or tutoring/mentoring relevant to specific aspects and applications of computer science on or off campus. Note Summer CPT or OPT students: written report required. Course does not count toward major requirements, but will be counted in the cumulative units toward graduation.
Field Study: Read More [+]

Rules & Requirements

Prerequisites: Consent of instructor (see department adviser)

Repeat rules: Course may be repeated for credit without restriction.

Hours & Format

Fall and/or spring: 15 weeks - 1-4 hours of fieldwork per week

Summer:
6 weeks - 2.5-10 hours of fieldwork per week
8 weeks - 2-7.5 hours of fieldwork per week

Additional Details

Subject/Course Level: Electrical Engineering/Undergraduate

Grading/Final exam status: Offered for pass/not pass grade only. Final exam not required.

Field Study: Read Less [-]

Terms offered: Fall 2021, Fall 2020, Fall 2016
Group study of selected topics in electrical engineering, usually relating to new developments.
Directed Group Study for Undergraduates: Read More [+]

Rules & Requirements

Repeat rules: Course may be repeated for credit without restriction.

Hours & Format

Fall and/or spring: 15 weeks - 1-4 hours of directed group study per week

Additional Details

Subject/Course Level: Electrical Engineering/Undergraduate

Grading/Final exam status: Offered for pass/not pass grade only. Final exam not required.

Directed Group Study for Undergraduates: Read Less [-]

Terms offered: Spring 2016, Fall 2015, Spring 2015
Supervised independent study and research for students with fewer than 60 units completed.
Individual Study and Research for Undergraduates: Read More [+]

Rules & Requirements

Prerequisites: Freshman or sophomore standing and consent of instructor. Minimum GPA of 3.4 required

Credit Restrictions: Enrollment is restricted; see the Introduction to Courses and Curricula section of this catalog.

Repeat rules: Course may be repeated for credit without restriction.

Hours & Format

Fall and/or spring: 15 weeks - 1-4 hours of independent study per week

Summer:
6 weeks - 1-5 hours of independent study per week
8 weeks - 1-4 hours of independent study per week

Additional Details

Subject/Course Level: Electrical Engineering/Undergraduate

Grading/Final exam status: Offered for pass/not pass grade only. Final exam not required.

Individual Study and Research for Undergraduates: Read Less [-]

Terms offered: Fall 2022, Spring 2022, Fall 2021
This course covers the fundamental circuit and device concepts needed to understand analog integrated circuits. After an overview of the basic properties of semiconductors, the p-n junction and MOS capacitors are described and the MOSFET is modeled as a large-signal device. Two port small-signal amplifiers and their realization using single stage and multistage CMOS building blocks are discussed. Sinusoidal steady-state signals are introduced and the techniques of phasor analysis are developed, including impedance and the magnitude and phase response of linear circuits. The frequency responses of single and multi-stage amplifiers are analyzed. Differential amplifiers are introduced.
Microelectronic Devices and Circuits: Read More [+]

Rules & Requirements

Prerequisites: EECS 16A and EECS 16B

Credit Restrictions: Students will receive no credit for EL ENG 105 after completing EL ENG 240A, or EL ENG 140.

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture, 1 hour of discussion, and 3 hours of laboratory per week

Additional Details

Subject/Course Level: Electrical Engineering/Undergraduate

Grading/Final exam status: Letter grade. Final exam required.

Microelectronic Devices and Circuits: Read Less [-]

Terms offered: Fall 2017, Fall 2016, Fall 2015
An introduction to the kinematics, dynamics, and control of robot manipulators, robotic vision, and sensing. The course covers forward and inverse kinematics of serial chain manipulators, the manipulator Jacobian, force relations, dynamics, and control. It presents elementary principles on proximity, tactile, and force sensing, vision sensors, camera calibration, stereo construction, and motion detection. The course concludes with current applications of robotics in active perception, medical robotics, and other areas.
Introduction to Robotics: Read More [+]

Rules & Requirements

Prerequisites: EL ENG 120 or consent of instructor

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture, 1 hour of discussion, and 3 hours of laboratory per week

Additional Details

Subject/Course Level: Electrical Engineering/Undergraduate

Grading/Final exam status: Letter grade. Final exam required.

Instructor: Bajcsy

Formerly known as: Electrical Engineering C125/Bioengineering C125

Also listed as: BIO ENG C125

Introduction to Robotics: Read Less [-]

Terms offered: Spring 2017, Spring 2016
This course is a sequel to Electrical Engineering C106A/Bioengineering C125, which covers kinematics, dynamics and control of a single robot. This course will cover dynamics and control of groups of robotic manipulators coordinating with each other and interacting with the environment. Concepts will include an introduction to grasping and the constrained manipulation, contacts and force control for interaction with the environment. We will also cover active perception guided manipulation, as well as the manipulation of non-rigid objects. Throughout, we will emphasize design and human-robot interactions, and applications to applications in manufacturing, service robotics, tele-surgery, and locomotion.
Robotic Manipulation and Interaction: Read More [+]

Rules & Requirements

Prerequisites: EECS C106A / BIO ENG C125 or consent of the instructor

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture, 1 hour of discussion, and 3 hours of laboratory per week

Additional Details

Subject/Course Level: Electrical Engineering/Undergraduate

Grading/Final exam status: Letter grade. Alternative to final exam.

Instructors: Bajcsy, Sastry

Also listed as: BIO ENG C125B

Robotic Manipulation and Interaction: Read Less [-]

Terms offered: Fall 2022, Fall 2021, Fall 2020
Power conversion circuits and techniques. Characterization and design of magnetic devices including transformers, reactors, and electromagnetic machinery. Characteristics of bipolar and MOS power semiconductor devices. Applications to motor control, switching power supplies, lighting, power systems, and other areas as appropriate.
Power Electronics: Read More [+]

Rules & Requirements

Prerequisites: EL ENG 105 or consent of instructor

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture and 3 hours of laboratory per week

Additional Details

Subject/Course Level: Electrical Engineering/Undergraduate

Grading/Final exam status: Letter grade. Final exam required.

Power Electronics: Read Less [-]

Terms offered: Spring 2022, Spring 2021, Spring 2020
Review of static electric and magnetic fields and applications; Maxwell's equations; transmission lines; propagation and reflection of plane waves; introduction to guided waves, microwave networks, and radiation and antennas. Minilabs on statics, transmission lines, and waves. Explanation of cellphone antennas, WiFi communication, and other wireless technologies.
Electromagnetic Fields and Waves: Read More [+]

Rules & Requirements

Prerequisites: EECS 16B, MATH 53, and MATH 54; PHYSICS 7B or equivalent that covers AC circuits and electromagnetics up to Maxwell's equations

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture, 1 hour of discussion, and 2 hours of laboratory per week

Additional Details

Subject/Course Level: Electrical Engineering/Undergraduate

Grading/Final exam status: Letter grade. Final exam required.

Instructor: Yablonovitch

Electromagnetic Fields and Waves: Read Less [-]

Terms offered: Fall 2022, Fall 2021, Fall 2020
Fundamental principles of optical systems. Geometrical optics and aberration theory. Stops and apertures, prisms, and mirrors. Diffraction and interference. Optical materials and coatings. Radiometry and photometry. Basic optical devices and the human eye. The design of optical systems. Lasers, fiber optics, and holography.
Introduction to Optical Engineering: Read More [+]

Rules & Requirements

Prerequisites: MATH 53; EECS 16A and EECS 16B, or MATH 54

Credit Restrictions: Students will receive no credit for Electrical Engineering 118 after taking Electrical Engineering 218A. A deficient grade in Electrical Engineering 119 may be removed by taking Electrical Engineering 118.

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture and 1 hour of discussion per week

Additional Details

Subject/Course Level: Electrical Engineering/Undergraduate

Grading/Final exam status: Letter grade. Final exam required.

Instructors: Waller, Kante

Introduction to Optical Engineering: Read Less [-]

Terms offered: Fall 2022, Spring 2022, Fall 2021
Continuous and discrete-time transform analysis techniques with illustrative applications. Linear and time-invariant systems, transfer functions. Fourier series, Fourier transform, Laplace and Z-transforms. Sampling and reconstruction. Solution of differential and difference equations using transforms. Frequency response, Bode plots, stability analysis. Illustrated by analysis of communication systems and feedback control systems.
Signals and Systems: Read More [+]

Rules & Requirements

Prerequisites: EECS 16A and EECS 16B

Hours & Format

Fall and/or spring: 15 weeks - 4 hours of lecture and 1 hour of recitation per week

Additional Details

Subject/Course Level: Electrical Engineering/Undergraduate

Grading/Final exam status: Letter grade. Final exam required.

Signals and Systems: Read Less [-]

Terms offered: Spring 2016, Fall 2014, Fall 2013
Introduction to the basic principles of the design and analysis of modern digital communication systems. Topics include source coding, channel coding, baseband and passband modulation techniques, receiver design, and channel equalization. Applications to design of digital telephone modems, compact disks, and digital wireless communication systems. Concepts illustrated by a sequence of MATLAB exercises.
Introduction to Digital Communication Systems: Read More [+]

Rules & Requirements

Prerequisites: EECS 16A, EECS 16B, and COMPSCI 70

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture and 1 hour of discussion per week

Additional Details

Subject/Course Level: Electrical Engineering/Undergraduate

Grading/Final exam status: Letter grade. Final exam required.

Introduction to Digital Communication Systems: Read Less [-]

Terms offered: Spring 2022, Spring 2020, Spring 2019
This course focuses on the fundamentals of the wired and wireless communication networks. The course covers both the architectural principles for making these networks scalable and robust, as well as the key techniques essential for analyzing and designing them. The topics include graph theory, Markov chains, queuing, optimization techniques, the physical and link layers, switching, transport, cellular networks and Wi-Fi.
Introduction to Communication Networks: Read More [+]

Rules & Requirements

Prerequisites: COMPSCI 70

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture and 1 hour of discussion per week

Additional Details

Subject/Course Level: Electrical Engineering/Undergraduate

Grading/Final exam status: Letter grade. Final exam required.

Introduction to Communication Networks: Read Less [-]

Terms offered: Spring 2022, Spring 2021, Spring 2020
Discrete time signals and systems: Fourier and Z transforms, DFT, 2-dimensional versions. Digital signal processing topics: flow graphs, realizations, FFT, chirp-Z algorithms, Hilbert transform relations, quantization effects, linear prediction. Digital filter design methods: windowing, frequency sampling, S-to-Z methods, frequency-transformation methods, optimization methods, 2-dimensional filter design.
Digital Signal Processing: Read More [+]

Rules & Requirements

Prerequisites: EL ENG 120

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture, 1 hour of discussion, and 1 hour of laboratory per week

Additional Details

Subject/Course Level: Electrical Engineering/Undergraduate

Grading/Final exam status: Letter grade. Final exam required.

Digital Signal Processing: Read Less [-]

Terms offered: Spring 2017, Fall 2016, Spring 2016
This course covers the fundamentals of probability and random processes useful in fields such as networks, communication, signal processing, and control. Sample space, events, probability law. Conditional probability. Independence. Random variables. Distribution, density functions. Random vectors. Law of large numbers. Central limit theorem. Estimation and detection. Markov chains.
Probability and Random Processes: Read More [+]

Rules & Requirements

Prerequisites: EECS 16A and EECS 16B

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture and 1 hour of discussion per week

Additional Details

Subject/Course Level: Electrical Engineering/Undergraduate

Grading/Final exam status: Letter grade. Final exam required.

Probability and Random Processes: Read Less [-]

Terms offered: Fall 2022, Spring 2022, Fall 2021, Spring 2021, Fall 2020
Analysis and synthesis of linear feedback control systems in transform and time domains. Control system design by root locus, frequency response, and state space methods. Applications to electro-mechanical and mechatronics systems.
Feedback Control Systems: Read More [+]

Rules & Requirements

Prerequisites: EECS 16A or MEC ENG 100; MEC ENG 132 or EL ENG 120

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture, 1 hour of discussion, and 3 hours of laboratory per week

Additional Details

Subject/Course Level: Electrical Engineering/Undergraduate

Grading/Final exam status: Letter grade. Final exam required.

Also listed as: MEC ENG C134

Feedback Control Systems: Read Less [-]

Terms offered: Fall 2022, Spring 2022, Fall 2021
Overview of electronic properties of semiconductor. Metal-semiconductor contacts, pn junctions, bipolar transistors, and MOS field-effect transistors. Properties that are significant to device operation for integrated circuits. Silicon device fabrication technology.
Integrated-Circuit Devices: Read More [+]

Rules & Requirements

Prerequisites: EECS 16A and EECS 16B

Credit Restrictions: Students will receive no credit for El Eng 130 after taking El Eng 230A.

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture and 1 hour of discussion per week

Additional Details

Subject/Course Level: Electrical Engineering/Undergraduate

Grading/Final exam status: Letter grade. Final exam required.

Integrated-Circuit Devices: Read Less [-]

Terms offered: Spring 2022, Spring 2021, Spring 2020
This course is designed to give an introduction to, and overview of, the fundamentals of photovoltaic devices. Students will learn how solar cells work, understand the concepts and models of solar cell device physics, and formulate and solve relevant physical problems related to photovoltaic devices. Monocrystalline, thin film and third generation solar cells will be discussed and analyzed. Light management and economic considerations in a solar cell system will also be covered.
Fundamentals of Photovoltaic Devices: Read More [+]

Rules & Requirements

Prerequisites: EECS 16A and EECS 16B

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture and 1 hour of discussion per week

Additional Details

Subject/Course Level: Electrical Engineering/Undergraduate

Grading/Final exam status: Letter grade. Final exam required.

Instructor: Arias

Fundamentals of Photovoltaic Devices: Read Less [-]

Terms offered: Fall 2022, Fall 2021, Fall 2020
Overview of conventional electric power conversion and delivery, emphasizing a systemic understanding of the electric grid with primary focus at the transmission level, aimed toward recognizing needs and opportunities for technological innovation. Topics include aspects of a.c. system design, electric generators, components of transmission and distribution systems, power flow analysis, system planning and operation, performance measures, and limitations of legacy technologies.
Introduction to Electric Power Systems: Read More [+]

Rules & Requirements

Prerequisites: Physics 7B; EECS 16A and EECS 16B, or consent of instructor

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture and 1 hour of discussion per week

Additional Details

Subject/Course Level: Electrical Engineering/Undergraduate

Grading/Final exam status: Letter grade. Final exam required.

Instructor: von Meier

Introduction to Electric Power Systems: Read Less [-]

Terms offered: Spring 2022, Spring 2021, Spring 2020
Overview of recent and potential future evolution of electric power systems with focus on new and emerging technologies for power conversion and delivery, primarily at the distribution level. Topics include power electronics applications, solar and wind generation, distribution system design and operation, electric energy storage, information management and communications, demand response, and microgrids.
Introduction to Electric Power Systems: Read More [+]

Rules & Requirements

Prerequisites: EL ENG 137A or consent of instructor

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture and 1 hour of discussion per week

Additional Details

Subject/Course Level: Electrical Engineering/Undergraduate

Grading/Final exam status: Letter grade. Final exam required.

Instructor: von Meier

Introduction to Electric Power Systems: Read Less [-]

Terms offered: Fall 2022, Fall 2021, Fall 2020
Single and multiple stage transistor amplifiers. Operational amplifiers. Feedback amplifiers, 2-port formulation, source, load, and feedback network loading. Frequency response of cascaded amplifiers, gain-bandwidth exchange, compensation, dominant pole techniques, root locus. Supply and temperature independent biasing and references. Selected applications of analog circuits such as analog-to-digital converters, switched capacitor filters, and comparators. Hardware laboratory and design project.
Linear Integrated Circuits: Read More [+]

Rules & Requirements

Prerequisites: EL ENG 105

Credit Restrictions: Students will receive no credit for El Eng 140 after taking El Eng 240A.

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture, 1 hour of discussion, and 3 hours of laboratory per week

Additional Details

Subject/Course Level: Electrical Engineering/Undergraduate

Grading/Final exam status: Letter grade. Final exam required.

Instructors: Alon, Sanders

Linear Integrated Circuits: Read Less [-]

Terms offered: Spring 2022, Spring 2021, Fall 2019
Analysis and design of electronic circuits for communication systems, with an emphasis on integrated circuits for wireless communication systems. Analysis of noise and distortion in amplifiers with application to radio receiver design. Power amplifier design with application to wireless radio transmitters. Radio-frequency mixers, oscillators, phase-locked loops, modulators, and demodulators.
Integrated Circuits for Communications: Read More [+]

Rules & Requirements

Prerequisites: EECS 16A, EECS 16B, and EL ENG 105

Credit Restrictions: Students will receive no credit for El Eng 142 after taking El Eng 242A.

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture, 1 hour of discussion, and 3 hours of laboratory per week

Additional Details

Subject/Course Level: Electrical Engineering/Undergraduate

Grading/Final exam status: Letter grade. Final exam required.

Integrated Circuits for Communications: Read Less [-]

Terms offered: Fall 2022, Spring 2022, Fall 2021
Integrated circuit device fabrication and surface micromachining technology. Thermal oxidation, ion implantation, impurity diffusion, film deposition, expitaxy, lithography, etching, contacts and interconnections, and process integration issues. Device design and mask layout, relation between physical structure and electrical/mechanical performance. MOS transistors and poly-Si surface microstructures will be fabricated in the laboratory and evaluated.
Microfabrication Technology: Read More [+]

Rules & Requirements

Prerequisites: PHYSICS 7B

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture and 3 hours of laboratory per week

Additional Details

Subject/Course Level: Electrical Engineering/Undergraduate

Grading/Final exam status: Letter grade. Final exam required.

Microfabrication Technology: Read Less [-]

Terms offered: Fall 2015, Fall 2014, Fall 2013
The modeling, analysis, and optimization of complex systems requires a range of algorithms and design software. This course reviews the fundamental techniques underlying the design methodology for complex systems, using integrated circuit design as example. Topics include design flows, discrete and continuous models and algorithms, and strategies for implementing algorithms efficiently and correctly in software. Laboratory assignments and a class project will expose students to state-of-the-art tools.
Fundamental Algorithms for Systems Modeling, Analysis, and Optimization: Read More [+]

Rules & Requirements

Prerequisites: EECS 16A and COMPSCI 70, or consent of instructor

Hours & Format

Fall and/or spring: 15 weeks - 4 hours of lecture per week

Additional Details

Subject/Course Level: Electrical Engineering/Undergraduate

Grading/Final exam status: Letter grade. Final exam required.

Instructors: Keutzer, Lee, Roychowdhury, Seshia

Fundamental Algorithms for Systems Modeling, Analysis, and Optimization: Read Less [-]

Terms offered: Fall 2022, Fall 2021, Fall 2020
Biomedical imaging is a clinically important application of engineering, applied mathematics, physics, and medicine. In this course, we apply linear systems theory and basic physics to analyze X-ray imaging, computerized tomography, nuclear medicine, and MRI. We cover the basic physics and instrumentation that characterizes medical image as an ideal perfect-resolution image blurred by an impulse response. This material could prepare the student for a career in designing new medical imaging systems that reliably detect small tumors or infarcts.
Medical Imaging Signals and Systems: Read More [+]

Rules & Requirements

Prerequisites: Prerequisites are introductory level skills in Python/Matlab; and either EECS 16A, EECS 16B, and EL ENG 120; or MATH 54, BIO ENG 105, and BIO ENG 101

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture and 1 hour of discussion per week

Additional Details

Subject/Course Level: Electrical Engineering/Undergraduate

Grading/Final exam status: Letter grade. Final exam required.

Instructor: Conolly

Also listed as: BIO ENG C165

Medical Imaging Signals and Systems: Read Less [-]

Terms offered: Fall 2014, Fall 2013, Fall 2012
Laboratory exercises exploring a variety of electronic transducers for measuring physical quantities such as temperature, force, displacement, sound, light, ionic potential; the use of circuits for low-level differential amplification and analog signal processing; and the use of microcomputers for digital sampling and display. Lectures cover principles explored in the laboratory exercises; construction, response and signal to noise of electronic transducers and actuators; and design of circuits for sensing and controlling physical quantities.
Introductory Electronic Transducers Laboratory: Read More [+]

Hours & Format

Fall and/or spring: 15 weeks - 2 hours of lecture and 3 hours of laboratory per week

Additional Details

Subject/Course Level: Electrical Engineering/Undergraduate

Grading/Final exam status: Letter grade. Final exam required.

Instructor: Derenzo

Also listed as: BIO ENG C145L

Introductory Electronic Transducers Laboratory: Read Less [-]

Terms offered: Spring 2013, Spring 2012, Spring 2011
Laboratory exercises constructing basic interfacing circuits and writing 20-100 line C programs for data acquisition, storage, analysis, display, and control. Use of the IBM PC with microprogrammable digital counter/timer, parallel I/O port. Circuit components include anti-aliasing filters, the S/H amplifier, A/D and D/A converters. Exercises include effects of aliasing in periodic sampling, fast Fourier transforms of basic waveforms, the use of the Hanning filter for leakage reduction, Fourier analysis of the human voice, digital filters, and control using Fourier deconvolution. Lectures cover principles explored in the lab exercises and design of microcomputer-based systems for data acquisitions, analysis and control.
Introductory Microcomputer Interfacing Laboratory: Read More [+]

Rules & Requirements

Prerequisites: EE 16A & 16B

Hours & Format

Fall and/or spring: 15 weeks - 2 hours of lecture and 3 hours of laboratory per week

Additional Details

Subject/Course Level: Electrical Engineering/Undergraduate

Grading/Final exam status: Letter grade. Final exam required.

Instructor: Derenzo

Also listed as: BIO ENG C145M

Introductory Microcomputer Interfacing Laboratory: Read Less [-]

Terms offered: Spring 2015, Spring 2014, Spring 2013, Spring 2012
Introduction to laboratory and field study of the biomechanics of animals and plants using fundamental biomechanical techniques and equipment. Course has a series of rotations involving students in experiments demonstrating how solid and fluid mechanics can be used to discover the way in which diverse organisms move and interact with their physical environment. The laboratories emphasize sampling methodology, experimental design, and statistical interpretation of results. Latter third of course devoted to independent research projects. Written reports and class presentation of project results are required.
Laboratory in the Mechanics of Organisms: Read More [+]

Rules & Requirements

Prerequisites: INTEGBI 135 or consent of instructor. For Electrical Engineering and Computer Sciences students: EL ENG 105, EL ENG 120 or COMPSCI 184

Credit Restrictions: Students will receive no credit for C135L after taking 135L.

Hours & Format

Fall and/or spring: 15 weeks - 6 hours of laboratory, 1 hour of discussion, and 1 hour of fieldwork per week

Additional Details

Subject/Course Level: Electrical Engineering/Undergraduate

Grading/Final exam status: Letter grade. Final exam required.

Formerly known as: Integrative Biology 135L

Also listed as: BIO ENG C136L/INTEGBI C135L

Laboratory in the Mechanics of Organisms: Read Less [-]

Terms offered: Spring 2015
This is a lab course that covers the design of modern Application-Specific Integrated Circuits (ASICs). The labs lay the foundation of modern digital design by first setting-up the scripting and hardware description language base for specification of digital systems and interactions with tool flows. Software testing of digital designs is covered leading into a set of labs that cover the design flow. Digital synthesis, floorplanning, placement and routing are covered, as well as tools to evaluate design timing and power. Chip-level assembly is covered, instantiation of custom IP blocks: I/O pads, memories, PLLs, etc. The labs culminate with a project design – implementation of a 3-stage RISC-V processor with register file and caches.
Application Specific Integrated Circuits Laboratory: Read More [+]

Objectives & Outcomes

Course Objectives: This course is a one-time offering to supplement the CS150 course offered in the Fall 2014, with a lab and project section that cover the Application-Specific Integrated Circuit Design. The CS150 lectures in the Fall 2014 already covered the necessary lecture material, so students who took the CS150 lab in the Fall of 2014 will have a chance to expand their skills into the area of Application-Specific Integrated Circuit design.
Hence the pre-requisite for this course is that a student has taken the CS150 course in the Fall 2014.

Rules & Requirements

Prerequisites: EECS 16B; EL ENG 105 recommended

Credit Restrictions: Students will receive no credit for Electrical Engineering 146L after taking Fall 2014 version of Electrical Engineering 141/241A.

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of laboratory and 1 hour of discussion per week

Additional Details

Subject/Course Level: Electrical Engineering/Undergraduate

Grading/Final exam status: Offered for pass/not pass grade only. Final exam not required.

Instructor: Stojanovic

Application Specific Integrated Circuits Laboratory: Read Less [-]

Terms offered: Fall 2022, Fall 2021, Fall 2020
This course will teach fundamentals of micromachining and microfabrication techniques, including planar thin-film process technologies, photolithographic techniques, deposition and etching techniques, and the other technologies that are central to MEMS fabrication. It will pay special attention to teaching of fundamentals necessary for the design and analysis of devices and systems in mechanical, electrical, fluidic, and thermal energy/signal domains, and will teach basic techniques for multi-domain analysis. Fundamentals of sensing and transduction mechanisms including capacitive and piezoresistive techniques, and design and analysis of micmicromachined miniature sensors and actuators using these techniques will be covered.
Introduction to Microelectromechanical Systems (MEMS): Read More [+]

Rules & Requirements

Prerequisites: EECS 16A and EECS 16B

Credit Restrictions: Students will receive no credit for El Eng 147 after taking El Eng 247A.

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture and 1 hour of discussion per week

Additional Details

Subject/Course Level: Electrical Engineering/Undergraduate

Grading/Final exam status: Letter grade. Final exam required.

Instructors: Maharbiz, Nguyen, Pister

Introduction to Microelectromechanical Systems (MEMS): Read Less [-]

Terms offered: Spring 2021, Spring 2020, Spring 2019
Design project course, focusing on application of theoretical principles in electrical engineering to control of a small-scale system, such as a mobile robot. Small teams of students will design and construct a mechatronic system incorporating sensors, actuators, and intelligence.
Mechatronic Design Laboratory: Read More [+]

Rules & Requirements

Prerequisites: EECS 16A, EECS 16B, COMPSCI 61A, COMPSCI 61B, COMPSCI 61C, and EL ENG 120

Hours & Format

Fall and/or spring: 15 weeks - 1.5 hours of lecture and 10 hours of laboratory per week

Additional Details

Subject/Course Level: Electrical Engineering/Undergraduate

Grading/Final exam status: Letter grade. Final exam required.

Instructor: Fearing

Mechatronic Design Laboratory: Read Less [-]

Terms offered: Fall 2022, Spring 2021, Spring 2020
Topics will vary semester to semester. See the Electrical Engineering announcements.
Special Topics: Read More [+]

Rules & Requirements

Prerequisites: Consent of instructor

Repeat rules: Course may be repeated for credit when topic changes.

Hours & Format

Fall and/or spring: 15 weeks - 1-4 hours of lecture per week

Additional Details

Subject/Course Level: Electrical Engineering/Undergraduate

Grading/Final exam status: Letter grade. Final exam required.

Special Topics: Read Less [-]

Terms offered: Spring 2016, Fall 2015, Spring 2015
Thesis work under the supervision of a faculty member. A minimum of four units must be taken; the units may be distributed between one and two semesters in any way. To obtain credit a satisfactory thesis must be submitted at the end of the two semesters to the Electrical and Engineering and Computer Science Department archive. Students who complete four units and a thesis in one semester receive a letter grade at the end of H196A. Students who do not, receive an IP in H196A and must enroll in H196B.
Senior Honors Thesis Research: Read More [+]

Rules & Requirements

Prerequisites: Open only to students in the Electrical Engineering and Computer Science honors program

Hours & Format

Fall and/or spring: 15 weeks - 1-4 hours of independent study per week

Additional Details

Subject/Course Level: Electrical Engineering/Undergraduate

Grading/Final exam status: Letter grade. This is part one of a year long series course. A provisional grade of IP (in progress) will be applied and later replaced with the final grade after completing part two of the series. Final exam required.

Senior Honors Thesis Research: Read Less [-]

Terms offered: Spring 2016, Spring 2015, Spring 2014
Thesis work under the supervision of a faculty member. A minimum of four units must be taken; the units may be distributed between one and two semesters in any way. To obtain credit a satisfactory thesis must be submitted at the end of the two semesters to the Electrical and Engineering and Computer Science Department archive. Students who complete four units and a thesis in one semester receive a letter grade at the end of H196A. Students who do not, receive an IP in H196A and must enroll in H196B.
Senior Honors Thesis Research: Read More [+]

Rules & Requirements

Prerequisites: Open only to students in the Electrical Engineering and Computer Science honors program

Hours & Format

Fall and/or spring: 15 weeks - 1-4 hours of independent study per week

Additional Details

Subject/Course Level: Electrical Engineering/Undergraduate

Grading/Final exam status: Letter grade. This is part two of a year long series course. Upon completion, the final grade will be applied to both parts of the series. Final exam required.

Senior Honors Thesis Research: Read Less [-]

Terms offered: Fall 2022, Fall 2021, Spring 2018
Students take part in organized individual field sponsored programs with off-campus companies or tutoring/mentoring relevant to specific aspects and applications of computer science on or off campus. Note Summer CPT or OPT students: written report required. Course does not count toward major requirements, but will be counted in the cumulative units toward graduation.
Field Study: Read More [+]

Rules & Requirements

Prerequisites: Consent of instructor (see department adviser)

Repeat rules: Course may be repeated for credit without restriction.

Hours & Format

Fall and/or spring: 15 weeks - 1-4 hours of fieldwork per week

Summer:
6 weeks - 2.5-10 hours of fieldwork per week
8 weeks - 2-7.5 hours of fieldwork per week

Additional Details

Subject/Course Level: Electrical Engineering/Undergraduate

Grading/Final exam status: Offered for pass/not pass grade only. Final exam not required.

Field Study: Read Less [-]

Terms offered: Fall 2022, Spring 2022, Fall 2021
Group study of selected topics in electrical engineering, usually relating to new developments.
Directed Group Study for Advanced Undergraduates: Read More [+]

Rules & Requirements

Prerequisites: 2.0 GPA or better; 60 units completed

Repeat rules: Course may be repeated for credit without restriction.

Hours & Format

Fall and/or spring: 15 weeks - 1-4 hours of directed group study per week

Additional Details

Subject/Course Level: Electrical Engineering/Undergraduate

Grading/Final exam status: Offered for pass/not pass grade only. Final exam not required.

Directed Group Study for Advanced Undergraduates: Read Less [-]

Terms offered: Fall 2018, Spring 2018, Fall 2017
Supervised independent study. Enrollment restrictions apply.
Supervised Independent Study: Read More [+]

Rules & Requirements

Prerequisites: Consent of instructor and major adviser

Credit Restrictions: Enrollment is restricted; see the Introduction to Courses and Curricula section of this catalog.

Repeat rules: Course may be repeated for credit without restriction.

Hours & Format

Fall and/or spring: 15 weeks - 0 hours of independent study per week

Summer:
6 weeks - 1-5 hours of independent study per week
8 weeks - 1-4 hours of independent study per week

Additional Details

Subject/Course Level: Electrical Engineering/Undergraduate

Grading/Final exam status: Offered for pass/not pass grade only. Final exam not required.

Supervised Independent Study: Read Less [-]

Nuclear Engineering

Terms offered: Fall 2022
This seminar provides freshman and first year transfer students with an overview of the field of nuclear engineering (NE) and the research activities in the NE department. Every week a faculty member will introduce a topic and describe the main research challenges in that area.
What do nuclear engineers do?: Read More [+]

Hours & Format

Fall and/or spring: 15 weeks - 1 hour of seminar per week

Additional Details

Subject/Course Level: Nuclear Engineering/Undergraduate

Grading/Final exam status: Offered for pass/not pass grade only. Final exam not required.

Instructor: Hosemann

What do nuclear engineers do?: Read Less [-]

Terms offered: Fall 2022, Spring 2022, Fall 2021
The Berkeley Seminar Program has been designed to provide new students with the opportunity to explore an intellectual topic with a faculty member in a small-seminar setting. Berkeley Seminars are offered in all campus departments, and topics vary from department to department and semester to semester.
Freshman Seminars: Read More [+]

Rules & Requirements

Repeat rules: Course may be repeated for credit when topic changes.

Hours & Format

Fall and/or spring: 15 weeks - 1 hour of seminar per week

Additional Details

Subject/Course Level: Nuclear Engineering/Undergraduate

Grading/Final exam status: The grading option will be decided by the instructor when the class is offered. Final Exam To be decided by the instructor when the class is offered.

Freshman Seminars: Read Less [-]

Terms offered: Fall 2022, Fall 2021, Fall 2020
The class provides students with an overview of the contemporary nuclear energy technology with emphasis on nuclear fission as an energy source. Starting with the basic physics of the nuclear fission process, the class includes discussions on reactor control, thermal hydraulics, fuel production, and spent fuel management for various types of reactors in use around the world as well as analysis of safety and other nuclear-related issues. This class is intended for sophomore NE students, but is also open to transfer students and students from other majors.
Introduction to Nuclear Energy and Technology: Read More [+]

Rules & Requirements

Prerequisites: PHYSICS 7A, PHYSICS 7B, and MATH 53

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture per week

Additional Details

Subject/Course Level: Nuclear Engineering/Undergraduate

Grading/Final exam status: Letter grade. Final exam required.

Instructor: Fratoni

Introduction to Nuclear Energy and Technology: Read Less [-]

Terms offered: Spring 2022, Spring 2021, Spring 2020
Energetics and kinetics of nuclear reactions and radioactive decay, fission, fusion, and reactions of low-energy neutrons; properties of the fission products and the actinides; nuclear models and transition probabilities; interaction of radiation with matter.
Nuclear Reactions and Radiation: Read More [+]

Rules & Requirements

Prerequisites: PHYSICS 7C and NUC ENG 100

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture and 1 hour of discussion per week

Additional Details

Subject/Course Level: Nuclear Engineering/Undergraduate

Grading/Final exam status: Letter grade. Final exam required.

Instructors: Bernstein, L.

Nuclear Reactions and Radiation: Read Less [-]

Terms offered: Spring 2016, Spring 2015, Spring 2013
Laboratory course in nuclear physics. Experiments will allow students to directly observe phenomena discussed in Nuclear Engineering 101. These experiments will give students exposure to (1) electronics, (2) alpha, beta, gamma radiation detectors, (3) radioactive sources, and (4) experimental methods relevant for all aspects of nuclear science. Experiments include: Rutherford scattering, x-ray fluorescence, muon lifetime, gamma-gamma angular correlations, Mossbauer effect, and radon measurements.
Nuclear Reactions and Radiation Laboratory: Read More [+]

Rules & Requirements

Prerequisites: NUC ENG 101

Hours & Format

Fall and/or spring: 15 weeks - 1 hour of lecture, 1 hour of discussion, and 4 hours of laboratory per week

Additional Details

Subject/Course Level: Nuclear Engineering/Undergraduate

Grading/Final exam status: Letter grade. Final exam required.

Instructor: Norman

Nuclear Reactions and Radiation Laboratory: Read Less [-]

Terms offered: Fall 2022, Fall 2021, Fall 2020
Basic science of radiation measurement, nuclear instrumentation, neutronics, radiation dosimetry. The lectures emphasize the principles of radiation detection. The weekly laboratory applies a variety of radiation detection systems to the practical measurements of interest for nuclear power, nuclear and non-nuclear science, and environmental applications. Students present goals and approaches of the experiements being performed.
Radiation Detection and Nuclear Instrumentation Laboratory: Read More [+]

Rules & Requirements

Prerequisites: NUC ENG 101 or consent of instructor; NUC ENG 150 recommended

Hours & Format

Fall and/or spring: 15 weeks - 2 hours of lecture and 4 hours of laboratory per week

Additional Details

Subject/Course Level: Nuclear Engineering/Undergraduate

Grading/Final exam status: Letter grade. Final exam required.

Instructor: Vetter

Formerly known as: 104A

Radiation Detection and Nuclear Instrumentation Laboratory: Read Less [-]

Terms offered: Fall 2022, Fall 2020, Fall 2018
Introduction to medical imaging physics and systems, including x-ray computed tomography (CT), nuclear magnetic resonance (NMR), positron emission tomography (PET), and SPECT; basic principles of tomography and an introduction to unfolding methods; resolution effects of counting statistics, inherent system resolution and human factors.
Introduction to Imaging: Read More [+]

Rules & Requirements

Prerequisites: NUC ENG 101 and NUC ENG 104

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture per week

Additional Details

Subject/Course Level: Nuclear Engineering/Undergraduate

Grading/Final exam status: Letter grade. Final exam required.

Instructor: Vetter

Introduction to Imaging: Read Less [-]

Terms offered: Fall 2022, Fall 2021, Fall 2020
Effects of irradiation on the atomic and mechanical properties of materials in nuclear reactors. Fission product swelling and release; neutron damage to structural alloys; fabrication and properties of uranium dioxide fuel.
Nuclear Materials: Read More [+]

Rules & Requirements

Prerequisites: MAT SCI 45 and one of the following: ENGIN 40, MEC ENG 40, or CHM ENG 141

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture and 1 hour of discussion per week

Additional Details

Subject/Course Level: Nuclear Engineering/Undergraduate

Grading/Final exam status: Letter grade. Final exam required.

Instructor: Wirth

Nuclear Materials: Read Less [-]

Terms offered: Fall 2022, Spring 2021, Spring 2020
Components and material flowsheets for nuclear fuel cycle, waste characteristics, sources of radioactive wastes, compositions, radioactivity and heat generation; waste treatment technologies; waste disposal technologies; safety assessment of waste disposal.
Radioactive Waste Management: Read More [+]

Rules & Requirements

Prerequisites: NUC ENG 100

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture per week

Additional Details

Subject/Course Level: Nuclear Engineering/Undergraduate

Grading/Final exam status: Letter grade. Final exam required.

Instructor: Ahn

Radioactive Waste Management: Read Less [-]

Terms offered: Spring 2022, Spring 2021, Spring 2020
Use of nuclear measurement techniques to detect clandestine movement and/or possession of nuclear materials by third parties. Nuclear detection, forensics, signatures, and active and passive interrogation methodologies will be explored. Techniques currently deployed for arms control and treaty verification will be discussed. Emphasis will be placed on common elements of detection technology from the viewpoint of resolution of threat signatures from false positives due to naturally occurring radioactive material. Topics include passive and active neutron signals, gamma ray detection, fission neutron multiplicity, and U and Pu isotopic identification and age determination.
Analytical Methods for Non-proliferation: Read More [+]

Rules & Requirements

Prerequisites: NUC ENG 101 (or similar background in nuclear physics), or consent of instructor

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture per week

Additional Details

Subject/Course Level: Nuclear Engineering/Undergraduate

Grading/Final exam status: Letter grade. Final exam required.

Instructor: Morse

Analytical Methods for Non-proliferation: Read Less [-]

Terms offered: Spring 2022, Spring 2021
Experimental illustrations of the interrelation between chemical and nuclear science and technology and nuclear forensics; radioactive decay and counting techniques; nuclear spectroscopy; fundamental radiochemical techniques; radiochemical separations techniques; tracers; activation analysis; forensic applications of radiochemistry; fusion, fission and nuclear reactors.
Radiochemical Methods in Nuclear Technology and Forensics: Read More [+]

Objectives & Outcomes

Course Objectives: Familiarize students with principles of nuclear and radiochemistry and its many important applications in our daily lives; provide hands-on training.

Student Learning Outcomes: A solid understanding of nuclear and radiochemistry; proficiency in safe handling of radioactive materials in the laboratory, and appreciation for the wide application of radiochemical techniques in chemistry, nuclear technology, and nuclear forensics.

Rules & Requirements

Prerequisites: CHEM 4B or CHEM 15; and CHEM 143 is recommended

Credit Restrictions: Students will receive no credit for CHEM 146 after completing CHEM 144, or CHEM C144.

Hours & Format

Fall and/or spring: 15 weeks - 1.5 hours of lecture and 4.5 hours of laboratory per week

Additional Details

Subject/Course Level: Nuclear Engineering/Undergraduate

Grading/Final exam status: Letter grade. Final exam required.

Formerly known as: Chemistry 146

Also listed as: CHEM C146

Radiochemical Methods in Nuclear Technology and Forensics: Read Less [-]

Terms offered: Spring 2022, Spring 2021, Spring 2020
Neutron interactions, nuclear fission, and chain reacting systematics in thermal and fast nuclear reactors. Diffusion and slowing down of neutrons. Criticality calculations. Nuclear reactor dynamics and reactivity feedback. Production of radionuclides in nuclear reactors.
Introduction to Nuclear Reactor Theory: Read More [+]

Rules & Requirements

Prerequisites: MATH 53, MATH 54, and NUC ENG 100

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture and 1 hour of discussion per week

Additional Details

Subject/Course Level: Nuclear Engineering/Undergraduate

Grading/Final exam status: Letter grade. Final exam required.

Instructors: Greenspan, Vujic

Introduction to Nuclear Reactor Theory: Read Less [-]

Terms offered: Spring 2022, Spring 2021, Fall 2019
Computational methods used to analyze radiation transport described by various differential, integral, and integro-differential equations. Numerical methods include finite difference, finite elements, discrete ordinates, and Monte Carlo. Examples from neutron and photon transport; numerical solutions of neutron/photon diffusion and transport equations. Monte Carlo simulations of photon and neutron transport. An overview of optimization techniques for solving the resulting discrete equations on vector and parallel computer systems.
Introduction to Numerical Simulations in Radiation Transport: Read More [+]

Rules & Requirements

Prerequisites: MATH 53, MATH 54, and ENGIN 7

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture per week

Additional Details

Subject/Course Level: Nuclear Engineering/Undergraduate

Grading/Final exam status: Letter grade. Final exam required.

Instructors: Vujic, Wirth

Introduction to Numerical Simulations in Radiation Transport: Read Less [-]

Terms offered: Fall 2022, Fall 2021, Fall 2020
This course provides an introduction to the field of nuclear criticality safety. Topics include: a review of basic concepts related to criticality (fission, cross sections, multiplication factor, etc.); criticality safety accidents; standards applicable to criticality safety; hand calculations and Monte Carlo methods used in criticality safety analysis; criticality safety evaluation documents.
Nuclear Criticality Safety: Read More [+]

Objectives & Outcomes

Course Objectives: The objective of this course is to acquaint Nuclear Engineering students with the concepts and practice of nuclear criticality safety, and to help prepare them for a future career in this field.

Student Learning Outcomes: At the end of this course, students should be able to:
Explain and define criticality safety factors for operations.
Discuss previous criticality accidents and their causal factors, including parameters involved in solution and metal critical accidents.
Identify and discuss the application of several common hand calculation methods.
Describe the importance of validation of computer codes and how it is accomplished.
Discuss ANSI/ANS criticality safety regulations.
Describe DOE regulations and practices in the nuclear criticality safety field.
Complete a Criticality Safety Evaluation.

Rules & Requirements

Prerequisites: NUC ENG 150 or consent of instructor

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture per week

Additional Details

Subject/Course Level: Nuclear Engineering/Undergraduate

Grading/Final exam status: Letter grade. Alternate method of final assessment during regularly scheduled final exam group (e.g., presentation, final project, etc.).

Instructor: Fratoni

Nuclear Criticality Safety: Read Less [-]

Terms offered: Fall 2022, Fall 2021, Fall 2020
Energy conversion in nuclear power systems; design of fission reactors; thermal and structural analysis of reactor core and plant components; thermal-hydraulic analysis of accidents in nuclear power plants; safety evaluation and engineered safety systems.
Nuclear Power Engineering: Read More [+]

Rules & Requirements

Prerequisites: Course(s) in fluid mechanics and heat transfer (MEC ENG 106 and MEC ENG 109; or CHM ENG 150A); Course in Thermodynamics (ENGIN 40, MEC ENG 40, or CHM ENG 141)

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture and 1 hour of discussion per week

Additional Details

Subject/Course Level: Nuclear Engineering/Undergraduate

Grading/Final exam status: Letter grade. Final exam required.

Instructor: Peterson

Nuclear Power Engineering: Read Less [-]

Terms offered: Spring 2022, Spring 2021, Spring 2020
Interaction of radiation with matter; physical, chemical, and biological effects of radiation on human tissues; dosimetry units and measurements; internal and external radiation fields and dosimetry; radiation exposure regulations; sources of radiation and radioactivity; basic shielding concepts; elements of radiation protection and control; theories and models for cell survival, radiation sensitivity, carcinogenesis, and dose calculation.
Radiation Biophysics and Dosimetry: Read More [+]

Rules & Requirements

Prerequisites: Upper division standing or consent of instructor

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture per week

Additional Details

Subject/Course Level: Nuclear Engineering/Undergraduate

Grading/Final exam status: Letter grade. Final exam required.

Instructor: Vujic

Radiation Biophysics and Dosimetry: Read Less [-]

Terms offered: Fall 2021, Fall 2019, Fall 2017
Project-based class for design and licensing of nuclear facilities, including advanced reactors. Elements of a project proposal. Regulatory framework and use of deterministic and probabilistic licensing criteria. Siting criteria. External and internal events. Identification and analysis of design basis and beyond design basis events. Communication with regulators and stakeholders. Ability to work in and contribute to a design team.
Risk-Informed Design for Advanced Nuclear Systems: Read More [+]

Objectives & Outcomes

Course Objectives: * Introduce students to the methods and models for event identification, accident analysis, and risk assessment and management for internally and externally initiated events.
* Introduce students to the regulatory requirements for design, construction and operation of nuclear facilities licensed by the U.S. Nuclear Regulatory Commission.
* Introduce students to the safety principles and methods used to design, construct and operate a safe nuclear facility, for a specific site and application.
* Provide a basic understanding of similarities and differences in regulation of nuclear facilities versus other technologies (biotech, commercial aviation, commercial space launch, civil infrastructure).
* Provide a basic understanding the risk-informed design process and an opportunity to experience contributing in a focused area to a design project.
* Provide students with experiential knowledge in developing schedules, allocating work responsibilities, and working in teams.
* Provide students with experiential knowledge in the preparation and evaluation a Safety Analysis Report for meeting USNRC regulatory requirements, including response to Requests for Additional Information (RAIs).

Student Learning Outcomes: * Develop a broad understanding of safety principles and methods used in design, construction and licensing of nuclear facilities.
* Develop a broad understanding of the U.S. Nuclear Regulatory Commission’s regulatory requirements for nuclear facilities.
* Have awareness of key similarities and differences in regulation of nuclear facilities versus other technologies (biotech, commercial aviation, commercial space launch, civil infrastructure).
* Have awareness of the major topics covered in a Safety Analysis Report (SAR) and experience in developing and writing at least one element of a SAR.
* Have developed experience and skills in communication with the business community, the public, and regulators.
* Have developed experience and skills in establishing a project schedule, allocating work responsibilities, and working in teams.
* Have understanding of application of event identification, event frequency and consequence analysis, risk assessment and management for internally and externally initiated events in the design process.

Rules & Requirements

Prerequisites: Completion of at least two upper division engineering courses providing relevant skills. Choose from the following: CHM ENG 150A, CHM ENG 180, CIV ENG 111, CIV ENG 120, CIV ENG 152, CIV ENG 166, CIV ENG 175, ENGIN 120, IND ENG 166, IND ENG 172, MEC ENG 106, MEC ENG 109, MEC ENG C134 / EL ENG C128, MEC ENG 146, NUC ENG 120, NUC ENG 124, NUC ENG 150, and NUC ENG 161

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture per week

Additional Details

Subject/Course Level: Nuclear Engineering/Undergraduate

Grading/Final exam status: Letter grade. Alternative to final exam.

Instructor: Peterson

Risk-Informed Design for Advanced Nuclear Systems: Read Less [-]

Terms offered: Spring 2022, Spring 2021, Spring 2020
Design of various fission and fusion power systems and other physically based applications. Each semester a topic will be chosen by the class as a whole. In addition to technology, the design should address issues relating to economics, the environment, and risk assessment.
Nuclear Design: Design in Nuclear Power Technology and Instrumentation: Read More [+]

Rules & Requirements

Prerequisites: Senior standing or consent of instructor

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture per week

Additional Details

Subject/Course Level: Nuclear Engineering/Undergraduate

Grading/Final exam status: Letter grade. Final exam required.

Formerly known as: 170

Nuclear Design: Design in Nuclear Power Technology and Instrumentation: Read Less [-]

Terms offered: Spring 2010, Spring 2009, Spring 2008
A systems approach to the development of procedures for nuclear medicine and radiation therapy. Each semester a specific procedure will be studied and will entail the development of the biological and physiological basis for a procedure, the chemical and biochemical characteristics of appropriate drugs, dosimetric requirements and limitations, the production and distribution of radionuclides and/or radiation fields to be applied, and the characteristics of the instrumentation to be used.
Nuclear Design: Design in Bionuclear, Nuclear Medicine, and Radiation Therapy: Read More [+]

Rules & Requirements

Prerequisites: Senior standing

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture per week

Additional Details

Subject/Course Level: Nuclear Engineering/Undergraduate

Grading/Final exam status: Letter grade. Final exam required.

Formerly known as: 167

Nuclear Design: Design in Bionuclear, Nuclear Medicine, and Radiation Therapy: Read Less [-]

Terms offered: Fall 2022, Fall 2020, Fall 2018
Methodological approaches for the quantification of technological risk and risk based decision making. Probabilistic safety assessment, human health risks, environmental and ecological risk analysis.
Methods of Risk Analysis: Read More [+]

Rules & Requirements

Prerequisites: Upper division standing

Hours & Format

Fall and/or spring: 15 weeks - 4 hours of lecture per week

Additional Details

Subject/Course Level: Nuclear Engineering/Undergraduate

Grading/Final exam status: Letter grade. Final exam required.

Instructor: Kastenberg

Methods of Risk Analysis: Read Less [-]

Terms offered: Fall 2022, Fall 2021, Fall 2020
Introduction to energy production by controlled thermonuclear reactions. Nuclear fusion reactions, energy balances for fusion systems, survey of plasma physics; neutral beam injection; RF heating methods; vacuum systems; tritium handling.
Introduction to Controlled Fusion: Read More [+]

Rules & Requirements

Prerequisites: PHYSICS 7C

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture per week

Additional Details

Subject/Course Level: Nuclear Engineering/Undergraduate

Grading/Final exam status: Letter grade. Final exam required.

Instructor: Morse

Introduction to Controlled Fusion: Read Less [-]

Terms offered: Summer 2022 10 Week Session, Spring 2022, Fall 2021
Supervised research. Students who have completed three or more upper division courses may pursue original research under the direction of one of the members of the staff. A final report or presentation is required. A maximum of three units of H194 may be used to fulfill a technical elective requirement in the Nuclear Engineering general program or joint major programs.
Honors Undergraduate Research: Read More [+]

Rules & Requirements

Prerequisites: Upper division technical GPA of 3.3, consent of instructor and faculty advisor

Repeat rules: Course may be repeated for credit up to a total of 8 units.

Hours & Format

Fall and/or spring: 15 weeks - 1-4 hours of independent study per week

Summer: 10 weeks - 1.5-6 hours of independent study per week

Additional Details

Subject/Course Level: Nuclear Engineering/Undergraduate

Grading/Final exam status: Letter grade. Final exam not required.

Honors Undergraduate Research: Read Less [-]

Terms offered: Fall 2022, Fall 2021, Spring 2021
Group studies of selected topics.
Group Study for Advanced Undergraduates: Read More [+]

Rules & Requirements

Prerequisites: Upper division standing

Repeat rules: Course may be repeated for credit without restriction.

Hours & Format

Fall and/or spring: 15 weeks - 1-4 hours of directed group study per week

Additional Details

Subject/Course Level: Nuclear Engineering/Undergraduate

Grading/Final exam status: Offered for pass/not pass grade only. Final exam not required.

Group Study for Advanced Undergraduates: Read Less [-]

Terms offered: Fall 2022, Summer 2022 8 Week Session, Spring 2022
Supervised independent study. Enrollment restrictions apply; see the Introduction to Courses and Curricula section of this catalog.
Supervised Independent Study: Read More [+]

Rules & Requirements

Prerequisites: Consent of instructor and major adviser

Credit Restrictions: Course may be repeated for credit for a maximum of 4 units per semester.

Repeat rules: Course may be repeated for credit without restriction.

Hours & Format

Fall and/or spring: 15 weeks - 0 hours of independent study per week

Summer:
6 weeks - 1-5 hours of independent study per week
8 weeks - 1-4 hours of independent study per week

Additional Details

Subject/Course Level: Nuclear Engineering/Undergraduate

Grading/Final exam status: Offered for pass/not pass grade only. Final exam not required.

Supervised Independent Study: Read Less [-]

Terms offered: Prior to 2007
Supervised independent study. Please see section of the for description and prerequisites.
Supervised Independent Study: Read More [+]

Rules & Requirements

Prerequisites: Consent of instructor and major adviser

Credit Restrictions: Course may be repeated for credit for a maximum of 4 units per semester.

Repeat rules: Course may be repeated for credit without restriction.

Hours & Format

Summer: 8 weeks - 0 hours of independent study per week

Additional Details

Subject/Course Level: Nuclear Engineering/Undergraduate

Grading/Final exam status: Offered for pass/not pass grade only. Final exam not required.

Supervised Independent Study: Read Less [-]

Terms offered: Fall 2022, Fall 2021, Fall 2020
Overview of the elements of nuclear technology in use today for the production of energy and other radiation applications. Emphasis is on nuclear fission as an energy source, with a study of the basic physics of the nuclear fission process followed by detailed discussions of issues related to the control, radioactivity management, thermal energy management, fuel production, and spent fuel management. A discussion of the various reactor types in use around the world will include analysis of safety and nuclear proliferation issues surrounding the various technologies. Case studies of some reactor accidents and other nuclear-related incidents will be included.
Introduction to Nuclear Engineering: Read More [+]

Objectives & Outcomes

Course Objectives: (1) To give students an understanding of the basic concepts of nuclear energy and other radiation applications, together with an overview of related aspects such as proliferation and waste management.
(2) To provide students an overview of the elements of nuclear technology in use today for the production of energy and to set those elements in the broader contest of nuclear technology.

Student Learning Outcomes: At the end of the course, students should be able to:
- understand basic theoretical concepts of nuclear physics, reactor physics, and energy removal
- describe radiation damage mechanisms in materials and biological tissue, estimate radiation dose, understand radiation shielding
- understand the concepts of chain reaction, neutron balance, criticality, reactivity, and reactivity control
- describe the main nuclear power reactor designs and identify their major components
- describe core components and understand their function
- calculate cost of electricity based on simple economic principles
- describe the difference between PWR and BWR in terms of core design, steam cycle, and operation
- understand the concept of design-basis accidents, their causes, and their consequences
- identify the main steps and related facilities of fuel cycle
- understand the fundamental aspects of used fuel reprocessing and disposal

Rules & Requirements

Prerequisites: PHYSICS 7A, PHYSICS 7B, and MATH 54

Credit Restrictions: This course is restricted to students enrolled in the Master of Engineering degree program.

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture per week

Additional Details

Subject/Course Level: Nuclear Engineering/Graduate

Grading: Letter grade.

Instructor: Fratoni

Introduction to Nuclear Engineering: Read Less [-]

Terms offered: Spring 2022, Spring 2020, Spring 2018
Interaction of gamma rays, neutrons, and charged particles with matter; nuclear structure and radioactive decay; cross sections and energetics of nuclear reactions; nuclear fission and the fission products; fission and fusion reactions as energy sources.
Nuclear Reactions and Interactions of Radiation with Matter: Read More [+]

Rules & Requirements

Prerequisites: NUC ENG 101

Hours & Format

Fall and/or spring: 15 weeks - 4 hours of lecture per week

Additional Details

Subject/Course Level: Nuclear Engineering/Graduate

Grading: Letter grade.

Instructor: Norman

Nuclear Reactions and Interactions of Radiation with Matter: Read Less [-]

Terms offered: Fall 2022, Fall 2018, Fall 2015
Advanced concepts in the detection of ionizing radiation relevant for basic and applied sciences, nuclear non-proliferation, and homeland security. Concepts of signal generation and processing with advantages and drawbacks of a range of detection technologies. Laboratory comprises experiments to compare conventional analog and advanced digital signal processing, information generation and processing, position-sensitive detection, tracking, and imaging modalities.
Advanced Concepts in Radiation Detection and Measurements: Read More [+]

Rules & Requirements

Prerequisites: Graduate standing, NUC ENG 104 or similar course, or consent of instructor

Hours & Format

Fall and/or spring: 15 weeks - 2 hours of lecture and 4 hours of laboratory per week

Additional Details

Subject/Course Level: Nuclear Engineering/Graduate

Grading: Letter grade.

Instructor: Vetter

Advanced Concepts in Radiation Detection and Measurements: Read Less [-]

Terms offered: Fall 2022, Fall 2021
This course is designed to build the basic knowledge base to understand the physical principles of x-ray computed tomography (CT), positron emission tomography (PET), and single photon emission computed tomography (SPECT), radiologic imaging modalities using ionizing radiation. Using examples of CT, PET, and SPECT used in everyday disease management, this course will introduce theoretical foundations and practical applications for comprehensive understanding of these important noninvasive imaging techniques.
Physical Principles of CT, PET, and SPECT Imaging: Read More [+]

Objectives & Outcomes

Course Objectives: The objective of this course is to understand physical principles of how biomedical imaging systems utilizing ionizing radiation (i.e., x-ray and gamma-ray) work.

Student Learning Outcomes: The students will have good understanding of physical principles of CT, PET, and SPECT imaging, and how these ionizing radiation imaging modalities are used in medicine and biomedical research

Hours & Format

Fall and/or spring: 15 weeks - 4 hours of lecture per week

Additional Details

Subject/Course Level: Nuclear Engineering/Graduate

Grading: Letter grade.

Instructor: Youngho

Physical Principles of CT, PET, and SPECT Imaging: Read Less [-]

Objectives & Outcomes

Course Objectives: Provide the students with a solid understanding of the fundamentals of those aspect of low-energy nuclear physics that are most important to applications in such areas as nuclear engineering, nuclear and radiochemistry, geosciences, biotechnology, etc.

Student Learning Outcomes: Calculate estimates of nuclear masses and energetics based on empirical data and nuclear models.
Calculate estimates of the lifetimes of nuclear states that are unstable to alpha-,beta- and gamma decay and internal conversion based on the theory of simple nuclear models.
Calculate the consequences of radioactive growth and decay and nuclear reactions.
Calculate the energies of fission fragments and understand the charge and mass distributions of the fission products, and prompt neutron and gamma rays from fission
Calculate the kinematics of the interaction of photons with matter and apply stopping power to determine the energy loss rate and ranges of charged particles in matter
Use nuclear models to predict low-energy level structure and level energies.
Use nuclear models to predict the spins and parities of low-lying levels and estimate their consequences with respect to radioactive decay
Use nuclear models to understand the properties of neutron capture and the Breit-Wigner single level formula to calculate cross sections at resonance and thermal energies.

Rules & Requirements

Prerequisites: PHYSICS 7C or consent of instructor

Credit Restrictions: This course is restricted to students enrolled in the Master of Engineering degree program.

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture and 1 hour of discussion per week

Additional Details

Subject/Course Level: Nuclear Engineering/Graduate

Grading: Letter grade.

Instructor: Bernstein

Nuclear Reactions and Radiation: Read Less [-]

Terms offered: Not yet offered
Basic science of radiation measurement, nuclear instrumentation, neutronics, radiation dosimetry. The lectures emphasize the principles of radiation detection. The weekly laboratory applies a variety of radiation detection systems to the practical measurements of interest for nuclear power, nuclear and non-nuclear science, and environmental applications. Students present goals and approaches of the experiments being performed.
Radiation Detection and Nuclear Instrumentation Laboratory: Read More [+]

Rules & Requirements

Prerequisites: Nuclear Engineering 101 or equivalent or consent of instructor; Nuclear Engineering 150 or equivalent recommended

Credit Restrictions: This course is restricted to students enrolled in the Master of Engineering degree program.

Hours & Format

Fall and/or spring: 15 weeks - 2 hours of lecture and 4 hours of laboratory per week

Additional Details

Subject/Course Level: Nuclear Engineering/Graduate

Grading: Letter grade.

Instructor: Vetter

Radiation Detection and Nuclear Instrumentation Laboratory: Read Less [-]

Terms offered: Spring 2022, Spring 2021, Spring 2020
Neutron interactions, nuclear fission, and chain reacting systematics in thermal and fast nuclear reactors. Diffusion and slowing down of neutrons. Criticality calculations. Nuclear reactor dynamics and reactivity feedback. Production of radionuclides in nuclear reactors. General aspects of nuclear core designs.
Introduction to Nuclear Reactor Theory: Read More [+]

Rules & Requirements

Prerequisites: NUC ENG 101; MATH 53; and MATH 54

Credit Restrictions: This course is restricted to students enrolled in the Master of Engineering degree program.

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture and 1 hour of discussion per week

Additional Details

Subject/Course Level: Nuclear Engineering/Graduate

Grading: Letter grade.

Instructors: Vujic, Fratoni, Slaybaugh

Introduction to Nuclear Reactor Theory: Read Less [-]

Terms offered: Spring 2021, Spring 2019, Spring 2017
Physical aspects and computer simulation of radiation damage in metals. Void swelling and irradiation creep. Mechanical analysis of structures under irradiation. Sputtering, blistering, and hydrogen behavior in fusion reactor materials.
Irradiation Effects in Nuclear Materials: Read More [+]

Rules & Requirements

Prerequisites: NUC ENG 120 or consent of instructor

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture per week

Additional Details

Subject/Course Level: Nuclear Engineering/Graduate

Grading: Letter grade.

Instructor: Wirth

Irradiation Effects in Nuclear Materials: Read Less [-]

Objectives & Outcomes

Course Objectives: Develop an understanding of failure mechanism in materials and their impact in nuclear technology.

Explain quantitatively the production of damage, in materials.

Give an understanding of the behavior of fission products in ceramic fuel, how they are formed, how they migrate, and how they affect properties of the fuel.

Review those aspects of fundamental solid state physics that are pertinent to understanding the effects of radiation on crystalline solids.
Show how radiation, particularly by fast neutrons, affects the mechanical properties of fuel, cladding, and structural materials in a reactor core.

Student Learning Outcomes: Analyze the processes of fission gas release and swelling of reactor fuel.
Deal with point defects in solids; how they are produced at thermal equilibrium and by neutron irradiation; how they agglomerate to form voids in metals or grow gas bubbles in the fuel. Kinchin-Pease model.
Know the principal effects of radiation on metals: dislocation loops, voids, precipitates, and helium bubbles.
Solve diffusion problems beginning from Fick's law; understand how the diffusion coefficient is related to the mobility of atoms in the crystalline lattice.
Understand how the grain structure influences properties such as creep rate and fission product release (ceramic UO2).
Understand the concept and quantitative properties of dislocations, and how irradiation-produced point defects influences their motion and hence material properties.

Rules & Requirements

Prerequisites: Introductory course on properties of materials (MAT SCI 45); and upper division course in thermodynamics (ENGIN 40 or CHM ENG 141)

Credit Restrictions: This course is restricted to students enrolled in the Master of Engineering degree program.

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture and 1 hour of discussion per week

Additional Details

Subject/Course Level: Nuclear Engineering/Graduate

Grading: Letter grade.

Instructor: Hosemann

Nuclear Materials: Read Less [-]

Terms offered: Spring 2022, Spring 2018, Spring 2016
Structural metals in nuclear power plants; properties and fabrication of Zircaloy; aqueous corrosion of reactor components; structural integrity of reactor components under combined mechanical loading, neutron irradiation, and chemical environment.
Corrosion in Nuclear Power Systems: Read More [+]

Rules & Requirements

Prerequisites: NUC ENG 120. MAT SCI 112 recommended

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture per week

Additional Details

Subject/Course Level: Nuclear Engineering/Graduate

Grading: Letter grade.

Instructor: Wirth

Corrosion in Nuclear Power Systems: Read Less [-]

Terms offered: Spring 2014, Spring 2013, Spring 2012
Multi-barrier concept; groundwater hydrology, mathematical modeling of mass transport in heterogeneous media, source term for far-field model; near-field chemical environment, radionuclide release from waste solids, modeling of radionuclide transport in the near field, effect of temperature on repository performance, effect of water flow, effect of geochemical conditions, effect of engineered barrier alteration; overall performance assessment, performance index, uncertainty associated with assessment, regulation and standards.
Safety Assessment for Geological Disposal of Radioactive Wastes: Read More [+]

Rules & Requirements

Prerequisites: NUC ENG 124 or an upper division course in differential equations

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture per week

Additional Details

Subject/Course Level: Nuclear Engineering/Graduate

Grading: Letter grade.

Instructor: Ahn

Safety Assessment for Geological Disposal of Radioactive Wastes: Read Less [-]

Terms offered: Spring 2015, Spring 2013, Spring 2011
This course is intended for graduate students interested in acquiring a foundation in nuclear fuel cycle with topics ranging from nuclear-fuel reprocessing to waste treatment and final disposal. The emphasis is on the relationship between nuclear-power utilization and its environmental impacts. The goal is for graduate engineering students to gain sufficient understanding in how nuclear-power utilization affects the environment, so that they are better prepared to design an advanced system that would result in minimized environmental impact. The lectures will consist of two parts. The first half includes mathematical models for individual processes in a fuel cycle, such as nuclear fuel reprocessing, waste solidification, repository performance, and nuclear transmutation in a nuclear reactor. In the second half, these individual models are integrated, which enables students to evaluate environmental impact of a fuel cycle.
The Nuclear Fuel Cycle: Read More [+]

Rules & Requirements

Prerequisites: Graduate standing or consent of instructor; 124 and 150 are recommended

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture per week

Additional Details

Subject/Course Level: Nuclear Engineering/Graduate

Grading: Letter grade.

Instructor: Ahn

The Nuclear Fuel Cycle: Read Less [-]

Terms offered: Spring 2022, Spring 2021, Spring 2020
This course provides the student with a modern introduction to the basic industrial practices, modeling techniques, theoretical background, and computational methods to treat classical and cutting edge manufacturing processes in a coherent and self-consistent manner.
Modeling and Simulation of Advanced Manufacturing Processes: Read More [+]

Objectives & Outcomes

Course Objectives: An introduction to modeling and simulation of modern manufacturing processes.

Rules & Requirements

Prerequisites: An undergraduate course in strength of materials or 122

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture and 1 hour of discussion per week

Additional Details

Subject/Course Level: Nuclear Engineering/Graduate

Grading: Letter grade.

Instructor: Zohdi

Also listed as: MAT SCI C286/MEC ENG C201

Modeling and Simulation of Advanced Manufacturing Processes: Read Less [-]

Terms offered: Spring 2022, Spring 2021, Spring 2020
Use of nuclear measurement techniques to detect clandestine movement and/or possession of nuclear materials by third parties.
Nuclear detection, forensics,signatures, and active and passive interrogation methodologies will be explored. Techniques currently deployed for arms control and treaty verification will be discussed. Emphasis will be placed on common elements of detection technology from the viewpoint of resolution of threat signatures from false positives due to naturally occurring
radioactive material. Topics include passive and active neutron signals, gamma ray detection, fission neutron multiplicity, and U and Puisotopic identification and age determination.
Analytical Methods for Non-Proliferation: Read More [+]

Rules & Requirements

Prerequisites: NUC ENG 101, PHYSICS 7C, or equivalent course in nuclear physics

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture per week

Additional Details

Subject/Course Level: Nuclear Engineering/Graduate

Grading: Letter grade.

Instructor: Morse

Analytical Methods for Non-Proliferation: Read Less [-]

Objectives & Outcomes

Course Objectives: •
understand how 2D impulse response or 2D spatial frequency transfer function (or Modulation Transfer Function) allow one to quantify the spatial resolution of an imaging system.
•
understand 2D sampling requirements to avoid aliasing
•
understand 2D filtered backprojection reconstruction from projections based on the projection-slice theorem of Fourier Transforms
•
understand the concept of image reconstruction as solving a mathematical inverse problem.
•
understand the limitations of poorly conditioned inverse problems and noise amplification
•
understand how diffraction can limit resolution---but not for the imaging systems in this class
•
understand the hardware components of an X-ray imaging scanner
•
•
understand the physics and hardware limits to spatial resolution of an X-ray imaging system
•
understand tradeoffs between depth, contrast, and dose for X-ray sources
•
understand resolution limits for CT scanners
•
understand how to reconstruct a 2D CT image from projection data using the filtered backprojection algorithm
•
understand the hardware and physics of Nuclear Medicine scanners
•
understand how PET and SPECT images are created using filtered backprojection
•
understand resolution limits of nuclear medicine scanners
•
understand MRI hardware components, resolution limits and image reconstruction via a 2D FFT
•
understand how to construct a medical imaging scanner that will achieve a desired spatial resolution specification.

Student Learning Outcomes: •
students will be tested for their understanding of the key concepts above
•
undergraduate students will apply to graduate programs and be admitted
•
students will apply this knowledge to their research at Berkeley, UCSF, the national labs or elsewhere
•
students will be hired by companies that create, sell, operate or consult in biomedical imaging

Rules & Requirements

Prerequisites: Undergraduate level course work covering integral and differential calculus, two classes in engineering-level physics, introductory level linear algebra, introductory level statistics, at least 1 course in LTI system theory including (analog convolution, Fourier transforms, and Nyquist sampling theory). The recommended undergrad course prerequisites are introductory level skills in Python or Matlab and either EECS 16A, EECS 16B and EL ENG 120, or MATH 54, BIO ENG 101, and BIO ENG 105

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture and 1 hour of discussion per week

Additional Details

Subject/Course Level: Nuclear Engineering/Graduate

Grading: Letter grade.

Instructor: Conolly

Also listed as: BIO ENG C261/EL ENG C261

Medical Imaging Signals and Systems: Read Less [-]

Terms offered: Spring 2021, Spring 2020, Spring 2019, Spring 2017
Fundamentals of MRI including signal-to-noise ratio, resolution, and contrast as dictated by physics, pulse sequences, and instrumentation. Image reconstruction via 2D FFT methods. Fast imaging reconstruction via convolution-back projection and gridding methods and FFTs. Hardware for modern MRI scanners including main field, gradient fields, RF coils, and shim supplies. Software for MRI including imaging methods such as 2D FT, RARE, SSFP, spiral and echo planar imaging methods.
Principles of Magnetic Resonance Imaging: Read More [+]

Objectives & Outcomes

Course Objectives: Graduate level understanding of physics, hardware, and systems engineering description of image formation, and image reconstruction in MRI. Experience in Imaging with different MR Imaging systems. This course should enable students to begin graduate level research at Berkeley (Neuroscience labs, EECS and Bioengineering), LBNL or at UCSF (Radiology and Bioengineering) at an advanced level and make research-level contribution

Rules & Requirements

Prerequisites: EL ENG 120 or BIO ENG C165/EL ENG C145B or consent of instructor

Credit Restrictions: Students will receive no credit for Bioengineering C265/El Engineering C225E after taking El Engineering 265.

Repeat rules: Course may be repeated for credit under special circumstances: Students can only receive credit for 1 of the 2 versions of the class,BioEc265 or EE c225e, not both

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture, 1 hour of discussion, and 3 hours of laboratory per week

Additional Details

Subject/Course Level: Nuclear Engineering/Graduate

Grading: Letter grade.

Instructors: Conolly, Vandsburger

Also listed as: BIO ENG C265/EL ENG C225E

Principles of Magnetic Resonance Imaging: Read Less [-]

Terms offered: Fall 2022, Fall 2020, Fall 2017
Fission characteristics; neutron chain reactions, neutron transport and diffusion theory; reactor kinetics; multigroup methods, fast and thermal spectrum calculations, inhomogeneous reactor design, effects of poisons and fuel depletion.
Nuclear Reactor Theory: Read More [+]

Rules & Requirements

Prerequisites: NUC ENG 101 and NUC ENG 150; ENGIN 117 recommended

Hours & Format

Fall and/or spring: 15 weeks - 4 hours of lecture per week

Summer: 6 weeks - 10 hours of lecture per week

Additional Details

Subject/Course Level: Nuclear Engineering/Graduate

Grading: Letter grade.

Instructor: Greenspan

Nuclear Reactor Theory: Read Less [-]

Terms offered: Spring 2022, Spring 2021, Fall 2019
Computational methods used to analyze nuclear reactor systems described by various differential, integral, and integro-differential equations. Numerical methods include finite difference, finite elements, discrete ordinates, and Monte Carlo. Examples from neutron and photon transport, heat transfer, and thermal hydraulics. An overview of optimization techniques for solving the resulting discrete equations on vector and parallel computer systems.
Numerical Simulation in Radiation Transport: Read More [+]

Rules & Requirements

Prerequisites: NUC ENG 150

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture per week

Additional Details

Subject/Course Level: Nuclear Engineering/Graduate

Grading: Letter grade.

Instructor: Vujic

Numerical Simulation in Radiation Transport: Read Less [-]

Objectives & Outcomes

Rules & Requirements

Prerequisites: NUC ENG 150 or instructor consent

Credit Restrictions: This course is restricted to students enrolled in the Master of Engineering degree program.

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture per week

Additional Details

Subject/Course Level: Nuclear Engineering/Graduate

Grading: Letter grade.

Instructor: Fratoni

Nuclear Criticality Safety: Read Less [-]

Terms offered: Fall 2016, Fall 2014, Fall 2012
Fluid dynamics and heat transfer; thermal and hydraulic analysis of nuclear reactors; two-phase flow and boiling; compressible flow; stress analysis; energy conversion methods.
Thermal Aspects of Nuclear Reactors: Read More [+]

Rules & Requirements

Prerequisites: MEC ENG 106 and MEC ENG 109; or CHM ENG 150B

Hours & Format

Fall and/or spring: 15 weeks - 4 hours of lecture per week

Additional Details

Subject/Course Level: Nuclear Engineering/Graduate

Grading: Letter grade.

Instructor: Peterson

Thermal Aspects of Nuclear Reactors: Read Less [-]

Terms offered: Fall 2022, Fall 2021, Fall 2020
The class covers a wide range of topics applicable to nuclear power plant engineering. Energy conversion in nuclear power systems; design of fission reactors; thermal and structural analysis of reactor core and plant components; thermal-hydraulic analysis of accidents in nuclear power plants; safety evaluation and engineered safety systems. The instructor has 30 years’ experience in the commercial power industry.
Nuclear Power Engineering: Read More [+]

Rules & Requirements

Prerequisites: Course(s) in fluid mechanics and heat transfer; junior-level course in thermodynamics. Must be enrolled in the Master of Engineering degree program

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture and 1 hour of discussion per week

Additional Details

Subject/Course Level: Nuclear Engineering/Graduate

Grading: Letter grade.

Instructor: Berger

Nuclear Power Engineering: Read Less [-]

Terms offered: Spring 2022, Spring 2021, Spring 2020
Radiobiology is concerned with the action of ionizing radiation on biological tissues and living organisms. It combines two disciplines: radiation physics and biology. Radiobiology combines our understanding of ionizing radiation and molecular biology, and is a required knowledge for health physicists, radiation biologists and medical physicists. This course will provide such knowledge for a diverse group of students with need in either disciplines. This course represents one of the requisites for the Joint UC Berkeley-UC San Francisco Medical Physics Certificate Program.
Radiobiology: Read More [+]

Objectives & Outcomes

Course Objectives: A group project will be expected from students and computer models will be turned in at the end of the semester, either focusing on cancer risk tools, epidemiologic analysis, radiation cancer models or cancer treatment by radiation. The project should give students strong foundation to tackle more advanced risk models or dynamic cancer models.
They will be exposed to the multi-scale complexity of the tissue response to ionizing radiation from the whole organism to individual cells and down to the DNA. Molecular biology describing the cellular response and the DNA repair mechanisms will be covered, with an emphasis on cell kinetics such as recovery processes and cell cycle sensitivity. The overall tissue response will also be discussed with an effort to distinguish acute and delayed effects. Radiation risk models and their impact on limits will be introduced and described in the context of past and current research.
This course is designed for Nuclear Engineering students and in particular those pursuing a Medical Physics Certificate with knowledge essential to radiobiology. Students will learn about the history of radiation effects, epidemiology of radiation and evidence of cancer in populations.

Student Learning Outcomes: By the end of the class, students should:
-
Be proficient in the main mechanisms describing the interaction of ionizing radiation with tissue;
-
Be able to know the existing gaps in this field and where more research is needed;
-
Understand how radiation affects DNA and leads to gene mutation
-
Understand how cancer rises from various radiation damage in the tissue (targeted and non-targeted effects)
-
Able to write computer model for radiation risk assessment
-
Able to write computer model for cancer formation
-
Understand the main methods to treat cancer with radiation
-
Can differentiate tissue effect between low and high LET
-
Understand the various risk issues dealing with radiation: occupational (medical, nuclear worker, astronauts ...), vs population (accident, terrorism ...)
-
Be able to read scientific articles in the radiation biology field

Rules & Requirements

Prerequisites: Students are expected to have completed a course in basic radiology, radiation protection, and dosimetry (NE162 or equivalent). In addition, a class in radiation detection and instrumentation (e.g. NE104 or equivalent) and in introductory programming (Engineering 7 or equivalent) are recommended, but not required. Prerequisites may be waived by consent of the instructor

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture per week

Additional Details

Subject/Course Level: Nuclear Engineering/Graduate

Grading: Letter grade.

Radiobiology: Read Less [-]

Terms offered: Fall 2016, Fall 2015, Fall 2013
Principles and techniques of economic analysis to determine capital and operating costs; fuel management and fuel cycle optimization; thermal limits on reactor performance, thermal converters, and fast breeders; control and transient problems; reactor safety and licensing; release of radioactivity from reactors and fuel processing plants.
Design Analysis of Nuclear Reactors: Read More [+]

Rules & Requirements

Prerequisites: NUC ENG 150 and NUC ENG 161

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture per week

Additional Details

Subject/Course Level: Nuclear Engineering/Graduate

Grading: Letter grade.

Instructor: Greenspan

Design Analysis of Nuclear Reactors: Read Less [-]

Terms offered: Fall 2021, Fall 2019, Fall 2017
Project-based class for design and licensing of nuclear facilities,including advanced reactors. Elements of a project proposal. Regulatory framework and use of deterministic and probabilistic licensing criteria. Siting criteria. External and internal events. Identification and analysis of design basis and beyond design basis
events. Communication with regulators and stakeholders. Ability to work in and contribute to a design team.
Risk-Informed Design for Advanced Nuclear Systems: Read More [+]

Rules & Requirements

Prerequisites: Completion of at least two upperdivision engineering courses providing relevant skills: CHM ENG 150A, CHM ENG 180, CIV ENG 111, CIV ENG 120, CIV ENG 152, CIV ENG 166, CIV ENG 175, ENGIN 120, IND ENG 166, IND ENG 172, MEC ENG 106, MEC ENG 109, MEC ENG C128, MEC ENG 146, NUC ENG 120, NUC ENG 124, NUC ENG 150, or NUC ENG 161

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture per week

Additional Details

Subject/Course Level: Nuclear Engineering/Graduate

Grading: Letter grade.

Instructor: Peterson

Risk-Informed Design for Advanced Nuclear Systems: Read Less [-]

Terms offered: Fall 2021, Spring 2019
The scope of this class is to provide students with a broad overview of Gen IV and beyond reactor systems, advanced fuel cycles, and new trends in reactor design (e.g., small modular, load following, etc.).
Advanced Nuclear Reactors: Read More [+]

Objectives & Outcomes

Course Objectives: The main objective of this course is to provide students with an understanding of how advanced nuclear reactors work, their mission, their benefits, and the challenges that remain to be addressed.
This class is intended for all graduate students (PhD, MS, and MEng) at any stage in their academic career.

Student Learning Outcomes: By the end of this course students are expected to be able:
– to identify the main advanced reactor concepts and recognize their main features;
– to discuss the benefits and challenges associated with each concept;
– to understand the difference between fuel cycle options and associated characteristics such as resource utilization, waste generation, non-proliferation and safeguards;
– to recognize the contribution and limitation of advanced reactors towards various applications (i.e., load-following, hydrogen generation, etc.).

Rules & Requirements

Prerequisites: Students will benefit the most from this class if they have basic knowledge of light water reactor design, reactor physics, and reactor thermal-hydraulics (these topics are covered in NUC ENG 150 and NUC ENG 161). Students are expected to be familiar with the following topics (mostly related to LWR): main reactor components and function; reactor layout; auxiliary systems; criticality, reactivity and reactivity feedbacks; and heat transfer, fluid flow

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture per week

Additional Details

Subject/Course Level: Nuclear Engineering/Graduate

Grading: Letter grade.

Instructor: Fratoni

Advanced Nuclear Reactors: Read Less [-]

Terms offered: Fall 2022, Fall 2020, Fall 2018
Principles and methodological approaches for the quantification of technological risk and risk-based decision making.
Principles and Methods of Risk Analysis: Read More [+]

Rules & Requirements

Prerequisites: Consent of instructor. CIV ENG 193 and IND ENG 166 recommended

Hours & Format

Fall and/or spring: 15 weeks - 4 hours of lecture per week

Additional Details

Subject/Course Level: Nuclear Engineering/Graduate

Grading: Letter grade.

Instructor: Kastenberg

Principles and Methods of Risk Analysis: Read Less [-]

Terms offered: Spring 2021, Spring 2019, Spring 2017
Engineering and design of fusion systems. Introduction to controlled thermonuclear fusion as an energy economy, from the standpoint of the physics and technology involved. Case studies of fusion reactor design. Engineering principles of support technology for fusion systems.
Fusion Reactor Engineering: Read More [+]

Rules & Requirements

Prerequisites: NUC ENG 120 and NUC ENG 180

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture per week

Additional Details

Subject/Course Level: Nuclear Engineering/Graduate

Grading: Letter grade.

Instructor: Morse

Fusion Reactor Engineering: Read Less [-]

Terms offered: Spring 2022, Spring 2020, Spring 2018
Introduction to warm and hot magnetized plasmas. Single particle motion in electric and magnetic fields. Collective particle oscillations, waves and instabilities. Magnetohydrodynamic equilibria, stability and transport. Magnetically confined plasmas for controlled fusion. Space plasmas.
Fully Ionized Plasmas: Read More [+]

Rules & Requirements

Prerequisites: Consent of instructor

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture per week

Additional Details

Subject/Course Level: Nuclear Engineering/Graduate

Grading: Letter grade.

Instructor: Morse

Formerly known as: Electrical Engineering 239B

Fully Ionized Plasmas: Read Less [-]

Terms offered: Spring 2022, Spring 2020, Spring 2018, Fall 2015, Fall 2013, Fall 2011
Topics in this course will include the latest technology of various types of ion and electron sources, extraction and formation of charge particle beams, computer simulation of beam propagation, diagnostics of ion sources and beams, and the applications of beams in fusion, synchrotron light source, neutron generation, microelectronics, lithography, and medical therapy. This is a general accelerator technology and engineering course that will be of interest to graduate students in physics, electrical engineering, and nuclear engineering.
Charged Particle Sources and Beam Technology: Read More [+]

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture per week

Additional Details

Subject/Course Level: Nuclear Engineering/Graduate

Grading: Letter grade.

Instructors: Leung, Steier

Also listed as: ENGIN C282

Charged Particle Sources and Beam Technology: Read Less [-]

Terms offered: Spring 2022, Spring 2021, Spring 2020
The course will review the origins and evolution of nuclear energy, how it has been applied for both peaceful and military purposes, and the current and prospective challenges it presents. The purpose of the course is to educate students on the policy roots and technological foundations of nuclear energy and nuclear weapons so they are positioned to make original contributions to the field in their scholarly and professional careers.
Nuclear Security: The Nexus Between Policy and Technology: Read More [+]

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture per week

Additional Details

Subject/Course Level: Nuclear Engineering/Graduate

Grading: Letter grade.

Instructors: Nacht, Prussin

Also listed as: PUB POL C285

Nuclear Security: The Nexus Between Policy and Technology: Read Less [-]

Terms offered: Fall 2017, Spring 2016, Fall 2014
Special topics in applied nuclear physics. Topics may include applied nuclear reactions and instrumentation, bionuclear and radiological physics, and subsurface nuclear technology, among other possibilities. Course content may vary from semester to semester depending upon the instructor.

Special Topics in Applied Nuclear Physics: Read More [+]

Rules & Requirements

Prerequisites: Graduate standing or consent of instructor

Repeat rules: Course may be repeated for credit when topic changes.

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture per week

Additional Details

Subject/Course Level: Nuclear Engineering/Graduate

Grading: Letter grade.

Instructor: van Bibber

Special Topics in Applied Nuclear Physics: Read Less [-]

Terms offered: Fall 2022, Fall 2020, Spring 2016
Special topics in nuclear materials and chemistry. Topics may include advanced nuclear materials and corrosion. Course content may vary from semester to semester depending upon the instructor.

Special Topics in Nuclear Materials and Chemistry: Read More [+]

Rules & Requirements

Repeat rules: Course may be repeated for credit when topic changes.

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture per week

Additional Details

Subject/Course Level: Nuclear Engineering/Graduate

Grading: Letter grade.

Special Topics in Nuclear Materials and Chemistry: Read Less [-]

Terms offered: Summer 2002 10 Week Session
Special topics in nuclear energy. Topics may include fission reactor analysis and engineering, nuclear thermal hydraulics, and risk, safety and large-scale systems analysis. Course content may vary from semester to semester depending on the instructor.
Special Topics in Nuclear Energy: Read More [+]

Rules & Requirements

Prerequisites: Graduate standing or consent of instructor

Repeat rules: Course may be repeated for credit when topic changes.

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture per week

Additional Details

Subject/Course Level: Nuclear Engineering/Graduate

Grading: Letter grade.

Special Topics in Nuclear Energy: Read Less [-]

Terms offered: Spring 2021, Fall 2014, Summer 2005 10 Week Session
Special topics in nuclear non-proliferation. Topics may include homeland security and nuclear policy, and nuclear fuel cycle and waster management. Course content may vary from semester to semester depending on the instructor.
Special Topics in Nuclear Non-Proliferation: Read More [+]

Rules & Requirements

Prerequisites: Graduate standing or consent of instructor

Repeat rules: Course may be repeated for credit when topic changes.

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture per week

Additional Details

Subject/Course Level: Nuclear Engineering/Graduate

Grading: Letter grade.

Special Topics in Nuclear Non-Proliferation: Read Less [-]

Terms offered: Fall 2021, Spring 2019, Fall 2015
Special topics in environmental aspects of nuclear energy. Lectures on special topics of interest in environmental impacts of nuclear power utilizations, including severe accidents. The course content may vary from semester to semester, and will be announced at the beginning of each semester.
Special Topics in Environmental Aspects of Nuclear Energy: Read More [+]

Rules & Requirements

Prerequisites: Graduate standing or consent of instructor

Repeat rules: Course may be repeated for credit when topic changes.

Hours & Format

Fall and/or spring: 15 weeks - 1-3 hours of lecture per week

Additional Details

Subject/Course Level: Nuclear Engineering/Graduate

Grading: Letter grade.

Special Topics in Environmental Aspects of Nuclear Energy: Read Less [-]

Terms offered: Summer 2007 10 Week Session, Summer 2007 3 Week Session
Special topics in fusion and plasma physics. Topics may include laser, particle bean and plasma technologies, fusion science and technology, and accelerators. Course content may vary
from semester to semester depending upon the instructor.
Special Topics in Fusion and Plasma Physics: Read More [+]

Rules & Requirements

Prerequisites: Graduate standing or consent of instructor

Repeat rules: Course may be repeated for credit when topic changes.

Hours & Format

Fall and/or spring: 15 weeks - 3 hours of lecture per week

Additional Details

Subject/Course Level: Nuclear Engineering/Graduate

Grading: Letter grade.

Special Topics in Fusion and Plasma Physics: Read Less [-]

Terms offered: Fall 2022, Spring 2022, Fall 2021
Presentations on current topics of interest in nuclear technology by experts from government, industry and universities. Open to the campus community.
Nuclear Engineering Colloquium: Read More [+]

Rules & Requirements

Repeat rules: Course may be repeated for credit without restriction.

Hours & Format

Fall and/or spring: 15 weeks - 1 hour of colloquium per week

Additional Details

Subject/Course Level: Nuclear Engineering/Graduate

Grading: Offered for satisfactory/unsatisfactory grade only.

Instructor: van Bibber

Nuclear Engineering Colloquium: Read Less [-]

Terms offered: Fall 2022, Spring 2022, Fall 2021
Seminars in current research topics in nuclear engineering: Section 1 - Fusion; Section 2 - Nuclear Waste Management; Section 3 - Nuclear Thermal Hydraulics; Section 4 - Nuclear Chemistry; Section 6 - Nuclear Materials; Section 7 - Fusion reaction design; Section 8 - Nuclear Instrumentation.
Group Research Seminars: Read More [+]

Rules & Requirements

Repeat rules: Course may be repeated for credit without restriction.

Hours & Format

Fall and/or spring: 15 weeks - 1.5 hours of seminar per week

Additional Details

Subject/Course Level: Nuclear Engineering/Graduate

Grading: Offered for satisfactory/unsatisfactory grade only.

Group Research Seminars: Read Less [-]

Terms offered: Fall 2022, Spring 2022, Fall 2021
Investigation of advanced nuclear engineering problems.
Individual Research: Read More [+]

Rules & Requirements

Prerequisites: Graduate standing

Repeat rules: Course may be repeated for credit without restriction.

Hours & Format

Fall and/or spring: 15 weeks - 0 hours of independent study per week

Additional Details

Subject/Course Level: Nuclear Engineering/Graduate

Grading: Offered for satisfactory/unsatisfactory grade only.

Individual Research: Read Less [-]

Terms offered: Summer 2022 8 Week Session, Summer 2021 3 Week Session, Summer 2021 8 Week Session
Investigation of advanced nuclear engineering problems.
Individual Research: Read More [+]

Rules & Requirements

Prerequisites: Graduate standing

Repeat rules: Course may be repeated for credit without restriction.

Hours & Format

Summer: 8 weeks - 1-6 hours of independent study per week

Additional Details

Subject/Course Level: Nuclear Engineering/Graduate

Grading: Offered for satisfactory/unsatisfactory grade only.

Individual Research: Read Less [-]

Terms offered: Fall 2018, Fall 2017, Fall 2016
This course is designed to acquaint new teaching assistants with the nature of graduate student instruction in courses in the department of Nuclear Engineering. Discussion, practice, and review of issues relevant to the teaching of nuclear engineering. Effective teaching methods will be introduced by experienced GSIs and faculty.
Teaching Techniques in Nuclear Engineering: Read More [+]

Rules & Requirements

Prerequisites: Graduate standing or ASE status

Repeat rules: Course may be repeated for credit without restriction.

Hours & Format

Fall and/or spring: 15 weeks - 1-3 hours of lecture and 1-3 hours of discussion per week

Additional Details

Subject/Course Level: Nuclear Engineering/Professional course for teachers or prospective teachers

Grading: Offered for satisfactory/unsatisfactory grade only.

Formerly known as: Nuclear Enginering 301

Teaching Techniques in Nuclear Engineering: Read Less [-]

Terms offered: Fall 2017, Spring 2017, Fall 2016
Individual study in consultation with the major field adviser, intended to provide an opportunity for qualified students to prepare themselves for the various examinations required of candidates for the Ph.D.
Individual Study for Doctoral Students: Read More [+]

Rules & Requirements

Prerequisites: For candidates for doctoral degree

Credit Restrictions: Course does not satisfy unit or residence requirements for doctoral degree.

Repeat rules: Course may be repeated for credit without restriction.

Hours & Format

Fall and/or spring: 15 weeks - 0 hours of independent study per week

Additional Details

Subject/Course Level: Nuclear Engineering/Graduate examination preparation

Grading: Offered for satisfactory/unsatisfactory grade only.

Individual Study for Doctoral Students: Read Less [-]

Faculty and Instructors

+ Indicates this faculty member is the recipient of the Distinguished Teaching Award.

Faculty

Pieter Abbeel, Associate Professor. Artificial Intelligence (AI), Control, Intelligent Systems, and Robotics (CIR), Machine Learning.
Research Profile

Elad Alon, Professor. Integrated Circuits (INC), Micro/Nano Electro Mechanical Systems (MEMS), Communications & Networking (COMNET), Design, Modeling and Analysis (DMA).
Research Profile

Venkat Anantharam, Professor. Communications & Networking (COMNET), Artificial Intelligence (AI), Control, Intelligent Systems, and Robotics (CIR), Security (SEC), Signal Processing (SP).
Research Profile

Murat Arcack, Professor. Control, Intelligent Systems, and Robotics (CIR), Biosystems & Computational Biology (BIO).
Research Profile

Ana Claudia Arias, Associate Professor. Physical Electronics (PHY), Flexible and Printed Electronics, Energy (ENE).
Research Profile

Krste Asanovic, Professor. Computer Architecture & Engineering (ARC), Integrated Circuits (INC), Operating Systems & Networking (OSNT),Design, Modeling and Analysis (DMA).
Research Profile

Babak Ayazifar, Professor. Education (EDUC), Signal processing and system theory EDUCATION: Development of pedagogical techniques and assessment tools , Signal Processing (SP), Graph signal processing.

Jonathan Bachrach, Adjunct Assistant Professor. Programming Systems (PS), Computer Architecture & Engineering (ARC), Design, Modeling and Analysis (DMA).

Ruzena Bajcsy, Professor. Artificial Intelligence (AI), Biosystems & Computational Biology (BIO), Control, Intelligent Systems, and Robotics (CIR), Graphics (GR), Human-Computer Interaction (HCI), Computer vision, Bridging information technology to humanities and social sciences, Security (SEC).
Research Profile

Brian A. Barsky, Professor. Computer science, geometric design and modeling, computer graphics, computer aided cornea modeling and visualization, medical imaging, virtual environments for surgical simulation.
Research Profile

Peter L. Bartlett, Professor. Statistics, machine learning, statistical learning theory, adaptive control.
Research Profile

Alexandre M. Bayen, Professor. Transportation, modelling and control of distributed parameters systems, large scale infrastructure systems, water distribution.
Research Profile

Jeffrey Bokor, Professor. Physical Electronics (PHY), Nanotechnology.
Research Profile

Bernhard Boser, Professor. Biosystems & Computational Biology (BIO), Design, Modeling and Analysis (DMA), Integrated Circuits (INC),Physical Electronics (PHY).
Research Profile

Eric Brewer, Professor. Operating Systems & Networking (OSNT), Energy (ENE), Security (SEC), Developing regions, Programming languages.
Research Profile

Duncan Callaway, Associate Professor. Modeling and control of aggregated storage devices, power management, and system analysis of energy technologies and their impact.
Research Profile

John Canny, Professor. Computer science, activity-based computing, livenotes, mechatronic devices, flexonics.
Research Profile

Jose M. Carmena, Professor. Brain-machine interfaces, neural ensemble computation, neuroprosthetics, sensorimotor learning and control.
Research Profile

Constance Chang-Hasnain, Professor. Microsystems and materials, Nano-Optoelectronic devices.

Alessandro Chiesa, Assistant Professor. Security (SEC), Theory (THY).
Research Profile

John Chuang, Professor. Computer networking, computer security, economic incentives, ICTD.
Research Profile

Phillip Colella, Professor in Residence.
Research Profile

Steven Conolly, Professor. Medical imaging instrumentation and control.
Research Profile

Thomas Courtade, Assistant Professor. Communications & Networking (COMNET).
Research Profile

David E. Culler, Professor. Computer Architecture & Engineering (ARC), Energy (ENE), Operating Systems & Networking (OSNT),Programming Systems (PS), Security (SEC), Parallel architecture, High-performance networks, Workstation clusters.
Research Profile

Trevor Darrell, Professor in Residence. Artificial Intelligence (AI), Control, Intelligent Systems, and Robotics (CIR), Computer Vision.
Research Profile

James W. Demmel, Professor. Computer science, scientific computing, numerical analysis, linear algebra.
Research Profile

+ John DeNero, Assistant Teaching Professor. Artificial Intelligence (AI), Education (EDUC).

Anca Dragan, Assistant Professor. Artificial Intelligence (AI), Control, Intelligent Systems, and Robotics (CIR), Human-Computer Interaction (HCI).
Research Profile

Prabal Dutta, Associate Professor. Computer architecture & engineering, cyber-physical systems and design automation, energy, operating systems & networking.
Research Profile

Alexei (Alyosha) Efros, Associate Professor. Computer Vision, Graphics (GR), Artificial Intelligence (AI).
Research Profile

Laurent El Ghaoui, Professor. Decision-making under uncertainty, convex optimization, robust solutions, semidefinite programming, exhaustive simulation.
Research Profile

Ronald S. Fearing, Professor. Control, Intelligent Systems, and Robotics (CIR), Biosystems & Computational Biology (BIO).
Research Profile

Armando Fox, Professor. Programming systems (PS), Education (EDUC), Operating Systems and Networking (OSNT).
Research Profile

Michael Franklin, Adjunct Professor. Operating Systems & Networking (OSNT), AMPLab.

Gerald Friedland, Adjunct Assistant Professor.

+ Robert J. Full, Professor. Energetics, comparative biomechanics, arthropod, adhesion, comparative physiology, locomotion, neuromechanics, biomimicry, biological inspiration, reptile, gecko, amphibian, robots, artificial muscles.
Research Profile

Jack L. Gallant, Professor. Vision science, form vision, attention, fMRI, computational neuroscience, natural scene perception, brain encoding, brain decoding.
Research Profile

Dan Garcia, Teaching Professor. Education (EDUC), Computational Game Theory, Graphics (GR).

Sanjam Garg, Assistant Professor. Theory (THY), Security (SEC).
Research Profile

Ali Ghodsi, Adjunct Assistant Professor. Database Management Systems (DBMS), Operating Systems & Networking (OSNT).

Ken Goldberg, Professor. Robotics, art, social media, new media, automation.
Research Profile

Joseph Gonzalez, Assistant Professor. Artificial Intelligence (AI), Database Management Systems (DBMS).
Research Profile

Moritz Hardt, Assistant Profesor.
Research Profile

Bjoern Hartmann, Associate Professor. Human-computer interaction, user interfaces, end-user programming, design tools, prototyping, crowdsourcing, multitouch, sensing.
Research Profile

Marti A. Hearst, Professor. Information retrieval, human-computer interaction, user interfaces, information visualization, web search, search user interfaces, empirical computational linguistics, natural language processing, text mining, social media.
Research Profile

Joseph M. Hellerstein, Professor. Database Management Systems (DBMS), Operating Systems & Networking (OSNT).
Research Profile

Paul N. Hilfinger, Teaching Professor. Programming Systems (PS), Scientific Computing (SCI), Software engineering, Parallel programming techniques.
Research Profile

Joshua Hug, Assistant Teaching Professor. Education (EDUC), Computer Science education.

Ali Javey, Professor. Physical Electronics (PHY), Energy (ENE), Micro/Nano Electro Mechanical Systems (MEMS), Nanomaterials and Nanotechnology.
Research Profile

Michael I. Jordan, Professor. Computer science, artificial intelligence, bioinformatics, statistics, machine learning, electrical engineering, applied statistics, optimization.
Research Profile

Anthony D. Joseph, Professor. Operating Systems & Networking (OSNT), Security (SEC), Computer and Network Security, Distributed systems, Mobile computing, Wireless networking, Software engineering, and operating systems.
Research Profile

+ Richard Karp, Professor. Computational molecular biology, genomics, DNA molecules, structure of genetic regulatory networks, combinatorial and statsitical methods.
Research Profile

Randy H. Katz, Professor. Computer Architecture & Engineering (ARC), Operating Systems & Networking (OSNT), Distributed and networked systems design and implementation.
Research Profile

Kurt Keutzer, Professor. Computer Architecture & Engineering (ARC), Design, Modeling and Analysis (DMA), Scientific Computing (SCI).
Research Profile

Daniel Klein, Professor. Artificial Intelligence (AI), Natural Language Processing, Computational Linguistics, Machine Learning.
Research Profile

John D. Kubiatowicz, Professor. Operating Systems & Networking (OSNT), Security (SEC), Computer architecture, Quantum computer design, Internet-scale storage systems, Peer-to-peer networking.
Research Profile

Andreas Kuehlmann, Adjunct Professor. Design, Modeling and Analysis (DMA).
Research Profile

Edward A. Lee, Professor. Embedded Software, Real-Time Systems, Cyber-Physical Systems, Concurrency, Design, Modeling and Analysis (DMA), Programming Systems (PS),Signal Processing (SP).
Research Profile

Luke Lee, Professor. Biophotonics, biophysics, bionanoscience, molecular imaging, single cell analysis, bio-nano interfaces, integrated microfluidic devices (iMD) for diagnostics and preventive personalized medicine.
Research Profile

Sergey Levine, Assisstant Professor. Artificial intelligence, intelligent systems and robotics.
Research Profile

Chunlei Liu, Associate Professor. Brain imaging, magnetic resonance imaging, remote neural modulation, biosystems and computational biology, signal processing.
Research Profile

Tsu-Jae King Liu, Professor. Physical Electronics (PHY), Micro/Nano Electro Mechanical Systems (MEMS).
Research Profile

Michael Lustig, Associate Professor. Medical Imaging, Magnetic Resonance Imaging, Signal Processing (SP), Scientific Computing (SCI), Physical Electronics (PHY), Communications & Networking (COMNET), Biosystems & Computational Biology (BIO), Control, Intelligent Systems, and Robotics (CIR).

Michel Maharbiz, Professor. Neural interfaces, bioMEMS, microsystems, MEMS, microsystems for the life sciences.
Research Profile

Jitendra Malik, Professor. Artificial Intelligence (AI), Biosystems & Computational Biology (BIO), Control, Intelligent Systems, and Robotics (CIR), Graphics (GR), Human-Computer Interaction (HCI), Signal Processing (SP),.
Research Profile

Elchanan Mossel, Professor. Applied probability, statistics, mathematics, finite markov chains, markov random fields, phlylogeny.
Research Profile

Rikky Muller, Assistant Professor. Integrated Circuits (INC), Biosystems & Computational Biology (BIO), Micro/Nano Electro Mechanical Systems (MEMS).
Research Profile

George Necula, Professor. Software engineering, programming systemsm, security, program analysis.
Research Profile

Ren Ng, Assistant Professor. Imaging Systems, Computational Photography,, Signal Processing (SP), Optics.
Research Profile

Clark Nguyen, Professor. Micro/Nano Electro Mechanical Systems (MEMS), Integrated Circuits (INC), Physical Electronics (PHY), Design, Modeling and Analysis (DMA).
Research Profile

Ali Niknejad, Professor. Integrated Circuits (INC), Microwave and mm-Wave Circuits and Systems, Physical Electronics (PHY), Signal Processing (SP), Applied Electromagnetics, Communications & Networking (COMNET), Design, Modeling and Analysis (DMA).
Research Profile

Borivoje Nikolic, Professor. Integrated Circuits (INC), Communications & Networking (COMNET), Design, Modeling and Analysis (DMA), Computer Architecture & Engineering (ARC).
Research Profile

James O'Brien, Professor. Computer graphics, fluid dynamics, computer simulation, physically based animation, finite element simulation, human perception, image forensics, video forensics, computer animation, special effects for film, video game technology, motion capture .
Research Profile

Bruno Olshausen, Professor. Visual perception, computational neuroscience, computational vision.
Research Profile

Abhay Parekh, Adjunct Professor. Communications & Networking (COMNET).

Shyam Parekh, Adjunct Associate Professor. Communications & Networking (COMNET).

Eric Paulos, Associate Professor. Human-Computer Interaction (HCI), New Media arts.
Research Profile

Vern Paxson, Professor. Security (SEC), Operating Systems & Networking (OSNT).
Research Profile

Kristofer Pister, Professor. Micro/Nano Electro Mechanical Systems (MEMS), Control, Intelligent Systems, and Robotics (CIR), Micro-robotics, Integrated Circuits (INC), Low-power circuits.
Research Profile

+ Kameshwar Poolla, Professor. Cybersecurity, modeling, control, renewable energy, estimation, integrated circuit design and manufacturing, smart grids.
Research Profile

Raluca Ada Popa, Assistant Professor. Operating Systems & Networking (OSNT), Security (SEC).
Research Profile

Jan M. Rabaey, Professor. Communications & Networking (COMNET), Design, Modeling and Analysis (DMA), Energy (ENE), Integrated Circuits (INC), Signal Processing (SP), Computer architecture.
Research Profile

Jonathan Ragan-Kelley, Assistant Professor. Graphics, programming systems, computer architecture & engineering, programming languages and compilers, image processing, high performance computing.
Research Profile

Prasad Raghavendra, Associate Professor. Theory (THY).
Research Profile

Ravi Ramamoorthi, Professor. Graphics (GR), Scientific Computing (SCI), Signal Processing (SP), Computer Vision.

Kannan Ramchandran, Professor. Communications & Networking (COMNET), Signal Processing (SP), Control, Intelligent Systems, and Robotics (CIR).
Research Profile

Gireeja Ranade, Assistant Professor.

Satish Rao, Professor. Biosystems & Computational Biology (BIO), Theory (THY).
Research Profile

Sylvia Ratnasamy, Associate Professor. Operating Systems & Networking (OSNT).
Research Profile

Benjamin Recht, Associate Professor. Control, Intelligent Systems, and Robotics (CIR), Signal Processing (SP), Machine Learning (ML), Optimization (OPT).
Research Profile

Jaijeet Roychowdhury, Professor. Design, Modeling and Analysis (DMA), Scientific Computing (SCI), Biosystems & Computational Biology (BIO).
Research Profile

Stuart Russell, Professor. Artificial intelligence, computational biology, algorithms, machine learning, real-time decision-making, probabilistic reasoning.
Research Profile

Anant Sahai, Associate Professor. Communications & Networking (COMNET), Information Theory, Cognitive Radio and Spectrum Sharing, Control, Intelligent Systems, and Robotics (CIR), Distributed and Networked Control, Signal Processing (SP), Theory (THY), Information Theory.
Research Profile

Sayeef Salahuddin, Associate Professor. Physical Electronics (PHY), Design, Modeling and Analysis (DMA), Energy (ENE), Scientific Computing (SCI).
Research Profile

Seth R. Sanders, Professor. Energy (ENE), Control, Intelligent Systems, and Robotics (CIR), Integrated Circuits (INC), Power and electronics systems.
Research Profile

Alberto L. Sangiovanni-Vincentelli, Professor. Design, Modeling and Analysis (DMA), Embedded System Design, Design methodologies and tools, Control, Intelligent Systems, and Robotics (CIR), Hybrid systems, Design methodologies and tools, Communications & Networking (COMNET), Wireless sensor network design, Design methodologies and tools.
Research Profile

S. Shankar Sastry, Professor. Computer science, robotics, arial robots, cybersecurity, cyber defense, homeland defense, nonholonomic systems, control of hybrid systems, sensor networks, interactive visualization, robotic telesurgery, rapid prototyping.
Research Profile

Koushik Sen, Associate Professor. Programming Systems (PS), Software Engineering, Programming Languages, and Formal Methods: Software Testing, Verification, Model Checking, Runtime Monitoring, Performance Evaluation, and Computational Logic , Security (SEC).
Research Profile

Sanjit Seshia, Professor. Electronic design automation, theory, computer security, program analysis, dependable computing, computational logic, formal methods.
Research Profile

Scott Shenker, Professor. Internet Architecture, Software-Defined Networks, Datacenter Infrastructure, Large-Scale Distributed Systems, Game Theory and Economics,Operating Systems & Networking (OSNT).
Research Profile

Jonathan Shewchuk, Professor. Scientific Computing (SCI), Theory (THY), Graphics (GR).
Research Profile

Alistair Sinclair, Professor. Theory (THY), Randomized algorithms, applied probability, statistical physics.
Research Profile

Dawn Song, Professor. Operating Systems & Networking (OSNT), Security (SEC), Programming Systems (PS).
Research Profile

Yun Song, Professor. Computational biology, population genomics, applied probability and statistics.
Research Profile

Costas J. Spanos, Professor. Energy (ENE), Integrated Circuits (INC), Physical Electronics (PHY), Semiconductor manufacturing, Solid-State Devices.
Research Profile

Ian Stoica, Professor. Operating Systems & Networking (OSNT), Security (SEC), Networking and distributed computer systems, Quality of Service (Q of S) and resources management, modeling and performance analysis.

Vladimir Stojanovic, Associate Professor. Integrated Circuits (INC), Micro/Nano Electro Mechanical Systems (MEMS), Computer Architecture & Engineering (ARC), Physical Electronics (PHY), Communications & Networking (COMNET), Integrated Photonics, Circuit design with Emerging-Technologies.
Research Profile

Bernd Sturmfels, Professor. Mathematics, combinatorics, computational algebraic geometry.
Research Profile

Vivek Subramanian, Professor. Physical Electronics (PHY), Energy (ENE), Integrated Circuits (INC).
Research Profile

Claire Tomlin, Professor. Control, Intelligent Systems, and Robotics (CIR), Biosystems & Computational Biology (BIO), Control theory, hybrid and embedded systems, biological cell networks.
Research Profile

Luca Trevisan, Professor. Theory (THY), (Computational Complexity, Randomness in Computation, Combinatorial Optimization), Security (SEC).
Research Profile

Stavros Tripakis, Adjunct Associate Professor. Design, Modeling and Analysis (DMA), Computer-Aided System Design, Formal Methods, Verification, Synthesis, Embedded and Cyber-Physical Systems, Programming Systems (PS).

David Tse, Adjunct Professor. Communications & Networking (COMNET).
Research Profile

Umesh Vazirani, Professor. Quantum computation, hamiltonian complexity, analysis of algorithms.
Research Profile

Alexandra von Meier, Adjunct Professor. Energy (ENE), Electric Grids, Power Distribution.

David Wagner, Professor. Security (SEC).
Research Profile

Martin Wainwright, Professor. Statistical machine learning, High-dimensional statistics, information theory, Optimization and algorithmss .
Research Profile

Laura Waller, Associate Professor. Physical Electronics (PHY), Signal Processing (SP), Computational imaging, Optics and Imaging, Biosystems & Computational Biology (BIO), Graphics (GR).
Research Profile

Jean Walrand, Professor. Communications & Networking (COMNET), Performance evaluation, Game theory.
Research Profile

John Wawrzynek, Professor. Computer Architecture & Engineering (ARC).
Research Profile

Adam Wolisz, Adjunct Professor. Communications & Networking (COMNET), Computer Architecture & Engineering (ARC), System Performance Evaluation.

Ming C. Wu, Professor. Silicon photonics, MEMS, photonic integrated circuits, data center networks, 3D sensing, solid state LiDAR, optofluidics.
Research Profile

Eli Yablonovitch, Professor. Optoelectronics Research Group, high speed optical communications, photonic crystals at optical and microwave frequencies, the milli-Volt switch, optical antennas and solar cells , Physical Electronics (PHY).
Research Profile

Katherine A. Yelick, Professor. Programming Systems (PS), Scientific Computing (SCI), Biosystems & Computational Biology (BIO), parallel programming techniques.
Research Profile

Nir Yosef, Assistant Professor. Computational biology.
Research Profile

Bin Yu, Professor. Neuroscience, remote sensing, networks, statistical machine learning, high-dimensional inference, massive data problems, document summarization .
Research Profile

Avideh Zakhor, Professor. Signal Processing (SP), Artificial Intelligence (AI), Control, Intelligent Systems, and Robotics (CIR), Graphics (GR).
Research Profile

Emeritus Faculty

David Attwood, Professor Emeritus. Short wavelength electromagnetics, Soft X-ray microscopy, Coherence, EUV lithography.
Research Profile

Elwyn R. Berlekamp, Professor Emeritus. Computer science, electrical engineering, mathematics, combinatorial game theory, algebraic coding theory.
Research Profile

Manuel Blum, Professor Emeritus. Recursive function, cryptographic protocols, program checking.

Robert K. Brayton, Professor Emeritus. Design, Modeling and Analysis (DMA), Advanced methods in combinational and sequential logic synthesis and formal verification.
Research Profile

Robert W. Brodersen, Professor Emeritus. Design, Modeling and Analysis (DMA), Integrated Circuits (INC), Signal Processing (SP).

Thomas F. Budinger, Professor Emeritus. Image processing, biomedical electronics, quantitative aging, cardiovascular physiology, bioastronautics, image reconstruction, nuclear magnetic resonance, positron emission, tomography, reconstruction tomography, inverse problem mathematics.
Research Profile

Leon O. Chua, Professor Emeritus. Biosystems & Computational Biology (BIO), Control, Intelligent Systems, and Robotics (CIR), Cellular neural networks, Cellular automata, Complexity,, Nanoelectronics, Nonlinear circuits and systems, Nonlinear dynamics, Chaos,.
Research Profile

Mike Clancy, Professor Emeritus. Science education, cognitive development, educational software.
Research Profile

Richard J. Fateman, Professor Emeritus. Artificial Intelligence (AI), Scientific Computing (SCI), Computer algebra systems, Programming environments and systems, Programming languages and compilers, Symbolic mathematical computation, Document image analysis, multimodal input of mathematics.
Research Profile

Jerome A. Feldman, Professor Emeritus. Artificial Intelligence (AI), Biosystems & Computational Biology (BIO), Security (SEC), cognitive science.
Research Profile

Domenico Ferrari, Professor Emeritus. UC Berkeley Unix Project, high-speed network testbeds and the design of real-time communication services and network protocols for multimedia traffic.

Susan L. Graham, Professor Emeritus. Graphics (GR), Human-Computer Interaction (HCI), Programming Systems (PS), Scientific Computing (SCI), Software development environments, software engineering.
Research Profile

Paul R. Gray, Professor Emeritus. Design, Modeling and Analysis (DMA), Integrated Circuits (INC).
Research Profile

T. Kenneth Gustafson, Professor Emeritus. Solid-State Devices, Basic electromagnetic and quantum applications.

Michael A. Harrison, Professor Emeritus. Multimedia, User interfaces, Software environments.

Brian K. Harvey, Professor Emeritus. Education (EDUC).
Research Profile

David A. Hodges, Professor Emeritus. Integrated Circuits (INC).

Chenming Hu, Professor Emeritus. Semiconductor Device Technologies.
Research Profile

William M. Kahan, Professor Emeritus. Computer Architecture & Engineering (ARC), Scientific Computing (SCI), Computer architecture, Scientific computing, Numerical analysis.
Research Profile

Edward L. Keller, Professor Emeritus. Computational neuroscience, bioengineering, neurophysiology of the oculomotor system.

Kam Y. Lau, Professor Emeritus. Communications & Networking (COMNET), Optoelectronic devices, Microwave and millimeter wave signal transport over optical fiber links.
Research Profile

Edwin R. Lewis, Professor Emeritus.
Research Profile

Allan J. Lichtenberg, Professor Emeritus. Nano-Optoelectronics, Electromagnetics/Plasmas, Energy (ENE).
Research Profile

Michael A. Lieberman, Professor Emeritus. Plasma-assisted materials processing, Energy (ENE).
Research Profile

Kenneth K. Mei, Professor Emeritus. Nano-Optoelectronics, Electromagnetics/Plasmas.

David G. Messerschmitt, Professor Emeritus. Communications & Networking (COMNET), Signal Processing (SP), Business and economics issues in the software industry.

Robert G. Meyer, Professor Emeritus. Integrated Circuits (INC).
Research Profile

Nelson Morgan, Professor Emeritus. Signal Processing (SP).

+ Richard Muller, Professor Emeritus. Astrophysics, geophysics, physics, elementary particle physics, cosmic micro wave background, supernovae for cosmology, origin of the earth's magnetic flips, Nemesis theory, glacial cycles, red sprites, lunar impacts, iridium measurement.
Research Profile

Andrew R. Neureuther, Professor Emeritus. Integrated Circuits (INC), Solid-State Devices.
Research Profile

William G. Oldham, Professor Emeritus. Integrated circuits, Semiconductor manufacturing.
Research Profile

Beresford N. Parlett, Professor Emeritus.

David A. Patterson, Professor Emeritus. Professor in the Graduate School: Computer Architecture & Engineering (ARC), Computer Architecture and Systems: Parallel Computing performance, correctness, productivity,Biosystems & Computational Biology (BIO), Cancer tumor genomics, Operating Systems & Networking (OSNT).
Research Profile

Elijah Polak, Professor Emeritus. Control, Intelligent Systems, and Robotics (CIR), Numerical methods for engineering optimization.
Research Profile

Chittoor V. Ramamoorthy, Professor Emeritus. Software engineering.

Lawrence A. Rowe, Professor Emeritus. Multimedia Technology.
Research Profile

Steven E. Schwarz, Professor Emeritus. Solid-State Devices, Nano-Optoelectronics, Electromagnetics/Plasmas.

Carlo H. Sequin, Professor Emeritus. Geometric modeling, Artistic geometry, Mathematical visualizations , Graphics (GR), Human-Computer Interaction (HCI), CAD tools.

Jerome R. Singer, Professor Emeritus.

Alan J. Smith, Professor Emeritus. Computer Architecture & Engineering (ARC), Operating Systems & Networking (OSNT), Computer System Performance Analysis, I/O Systems, Cache Memories, Memory Systems.

Michael Stonebraker, Professor Emeritus. Database Technology.

Aram J. Thomasian, Professor Emeritus.
Research Profile

Theodore Van Duzer, Professor Emeritus. Superconductor Electronics.
Research Profile

Pravin Varaiya, Professor Emeritus. Communications & Networking (COMNET), Control, Intelligent Systems, and Robotics (CIR), Energy (ENE), Control, Networks, Power systems, Transportation.

William J. (Jack) Welch, Professor Emeritus. Nano-Optoelectronics, Electromagnetics/Plasmas.
Research Profile

Richard M. White, Professor Emeritus. Energy (ENE), Solid-State Devices.

Eugene Wong, Professor Emeritus. Communications & Networking (COMNET).
Research Profile

Felix F. Wu, Professor Emeritus. Electric power systems analysis, generation and transmission systems planning and investment, power system control and communications, electric energy industry restructuring .
Research Profile

Lotfi A. Zadeh, Professor Emeritus. Artificial intelligence, linguistics, control theory, logic, fuzzy sets, decision analysis, expert systems neural networks, soft computing, computing with words, computational theory of perceptions and precisiated natural language.
Research Profile

Faculty

Rebecca Abergel, Assistant Professor. Effects of heavy element exposure and contamination on different biological systems.
Research Profile

Lee A. Bernstein, Adjunct Professor.

Massimiliano Fratoni, Associate Professor, Vice Chair, MEng Faculty Lead, Xenel Distinguished Professor. Nuclear reactor design, fuel cycle analysis, fusion reactors.
Research Profile

Peter Hosemann, Professor, Ernest S. Kuh Chair in Engineering. Microscopy, nanomaterials, Nuclear materials, material science, radiation damage, corrosion in liquid metals, materials development, materials under extremes, nuclear applications, ion beam microscopy, nanoscale mechanical testing.
Research Profile

Daniel M. Kammen, Professor. Public policy, nuclear engineering, energy, resources, risk analysis as applied to global warming, methodological studies of forecasting, hazard assessment, renewable energy technologies, environmental resource management.
Research Profile

Edward C. Morse, Professor. Applied plasma physics: fusion technology: microwaves, experimental investigation of RF plasma heating, experimental studies of compact toroids spectral method for magnetohydrodynamic stability.
Research Profile

Per F. Peterson, Professor. Nuclear engineering, heat and mass transfer, reactor thermal hydraulics, nuclear reactor design, radioactive waste, nuclear materials management.
Research Profile

Raluca O. Scarlat, Assistant Professor. Chemical and termophysical characterization of high-temperature molten salts and other inorganic fluids, and heat and mass transport pertaining to energy systems Electrochemistry, corrosion, thermodynamics Nuclear reactor safety analysis, licensing and design, and engineering ethics .
Research Profile

Youngho Seo, Professor in Residence. Quantitative molecular imaging instrumentation and physics research.
Research Profile

Rachel Slaybaugh, Associate Professor. Computational methods, high performance computing, neutron transport.
Research Profile

Karl A. Van Bibber, Professor, Shankar Sastry Chair for Leadership and Innovation, Professor and Executive Associate Dean for the College of Engineering. Experimental nuclear physics, Particle Astrophysics, Accelerator Technology and Neutron Sources.
Research Profile

Kai Vetter, Professor. Nuclear physics, radiation detection, nuclear instrumentation, nuclear measurements, multi-sensor systems and data fusion, radiological resilience.
Research Profile

Jasmina L. Vujic, Professor. Nuclear engineering, numerical methods in reactor physics, neutron and photon transport, reactor core design and analysis, shielding, radiation protection, biomedical application of radiation, optimization techniques for vector, parallel computers.
Research Profile

Haruko Wainwright, Associate Adjunct Professor.
Research Profile

Lecturers

Ralph E. Berger, Lecturer.

Ali Hanks, Lecturer.
Research Profile

Thomas Schenkel, Lecturer.

Carl Schroeder, Adjunct Professor. Plasma physics, Laser-plasma and beam-plasma interactions, High-energy density physics, Advanced accelerator concepts, Compact radiation sources, Accelerator Science & Technology.
Research Profile

Emeritus Faculty

T. Kenneth Fowler, Professor Emeritus. Plasma physics, nuclear engineering, magnetic fusion, confinement and stability of plasmas for thermonuclear fusion, fusion reactor design, spehromak compact toroid plasma confinement configuration.
Research Profile

Ehud Greenspan, Professor Emeritus. Professor of the Graduate School.

Lawrence M. Grossman, Professor Emeritus. Nuclear engineering, reactor physics, numerical approximation methods in neutron diffusion, transport theory, control and optimization theory in nuclear reactor engineering.
Research Profile

Selig N. Kaplan, Professor Emeritus. Radiation reactions, interaction of radiation of matter, detection and measurement of ionizing radiation.
Research Profile

William E. Kastenberg, Professor Emeritus. Risk management, risk assessment, nuclear reactor safety, ethical issues in emerging technologies.
Research Profile

Ka-Ngo Leung, Professor Emeritus, Professor in the Graduate School. Professor of the Graduate School, Plasma and Ion Beam technology in microfabrication processes.

Digby Macdonald, Professor Emeritus, Staff Researcher.
Research Profile

Eric B. Norman, Professor Emeritus. Professor of the Graduate School, nuclear astrophysics, experimental nuclear physics, homeland security, neutrinos.
Research Profile

Contact Information

Electrical Engineering and Computer Sciences and Nuclear Engineering Program

Visit Program Website

Department Office

EECS Undergrad Advising

205 Cory Hall

Phone: 510-642-3214

http://www.eecs.berkeley.edu

eecs-advising@eecs.berkeley.edu

Department Office

Nuclear Engineering

4149 Etcheverry Hall

Phone: 510-642-5760

Fax: 510-643-9685

https://www.nuc.berkeley.edu

Department Chair, EECS

Jeffrey Bokor, PhD

231 Cory Hall

Phone: 510-642-0253

eecs-chair@eecs.berkeley.edu

Department Chair, Nuclear Engineering

Peter Hosemann, PhD

4151 Etchverry Hall

Phone: 510-642-3477

Engineering Student Services Advising

Engineering Student Services

Phone: 510-642-7594

http://engineering.berkeley.edu/ESS

ess@berkeley.edu

Electrical Engineering and Computer Sciences/Nuclear Engineering Joint Major

About the Program

Bachelor of Science (BS)

Admission to the Joint Major

Major Requirements

General Guidelines

Lower Division Requirements

Upper Division Requirements

Nuclear Engineering Technical Electives

Electrical Engineering Technical Electives

Five-Year BS/MS

College Requirements

Students in the College of Engineering must complete no fewer than 120 semester units with the following provisions:

Humanities and Social Sciences (H/SS) Requirement

Class Schedule Requirements

Minimum Academic (Grade) Requirements

Unit Requirements

Normal Progress

UC and Campus Requirements

University of California Requirements

Campus Requirement

Plan of Study

Student Learning Goals

Electrical Engineering and Computer Sciences

MISSION

LEARNING GOALS

EE

CS

Nuclear Engineering

MISSION

LEARNING GOALS

Courses

Select a subject to view courses

Electrical Engineering and Computer Sciences

EL ENG 24 Freshman Seminar 1 Unit

EL ENG 25 What Electrical Engineers Do--Feedback from Recent Graduates 1 Unit

EL ENG 39 Freshman/Sophomore Seminar 2 - 4 Units

EL ENG 42 Introduction to Digital Electronics 3 Units

EL ENG 49 Electronics for the Internet of Things 4 Units

EL ENG 84 Sophomore Seminar 1 or 2 Units

EL ENG 97 Field Study 1 - 4 Units

EL ENG 98 Directed Group Study for Undergraduates 1 - 4 Units

EL ENG 99 Individual Study and Research for Undergraduates 1 - 4 Units

EL ENG 105 Microelectronic Devices and Circuits 4 Units

EL ENG C106A Introduction to Robotics 4 Units

EL ENG C106B Robotic Manipulation and Interaction 4 Units

EL ENG 113 Power Electronics 4 Units

EL ENG 117 Electromagnetic Fields and Waves 4 Units

EL ENG 118 Introduction to Optical Engineering 4 Units

EL ENG 120 Signals and Systems 4 Units

EL ENG 121 Introduction to Digital Communication Systems 4 Units

EL ENG 122 Introduction to Communication Networks 4 Units

EL ENG 123 Digital Signal Processing 4 Units

EL ENG 126 Probability and Random Processes 4 Units

EL ENG C128 Feedback Control Systems 4 Units

EL ENG 130 Integrated-Circuit Devices 4 Units

EL ENG 134 Fundamentals of Photovoltaic Devices 4 Units

EL ENG 137A Introduction to Electric Power Systems 4 Units

EL ENG 137B Introduction to Electric Power Systems 4 Units

EL ENG 140 Linear Integrated Circuits 4 Units

EL ENG 142 Integrated Circuits for Communications 4 Units

EL ENG 143 Microfabrication Technology 4 Units

EL ENG 144 Fundamental Algorithms for Systems Modeling, Analysis, and Optimization 4 Units

EL ENG C145B Medical Imaging Signals and Systems 4 Units

EL ENG C145L Introductory Electronic Transducers Laboratory 3 Units

EL ENG C145M Introductory Microcomputer Interfacing Laboratory 3 Units

EL ENG C145O Laboratory in the Mechanics of Organisms 3 Units

EL ENG 146L Application Specific Integrated Circuits Laboratory 2 Units

EL ENG 147 Introduction to Microelectromechanical Systems (MEMS) 3 Units

EL ENG 192 Mechatronic Design Laboratory 4 Units

EL ENG 194 Special Topics 1 - 4 Units

EL ENG H196A Senior Honors Thesis Research 1 - 4 Units

EL ENG H196B Senior Honors Thesis Research 1 - 4 Units

EL ENG 197 Field Study 1 - 4 Units

EL ENG 198 Directed Group Study for Advanced Undergraduates 1 - 4 Units

EL ENG 199 Supervised Independent Study 1 - 4 Units

Nuclear Engineering

NUC ENG 10 What do nuclear engineers do? 1 Unit

NUC ENG 24 Freshman Seminars 1 Unit

NUC ENG 100 Introduction to Nuclear Energy and Technology 3 Units