Computer Science

University of California, Berkeley

This is an archived copy of the 2017-18 guide. To access the most recent version of the guide, please visit http://guide.berkeley.edu.

About the Program

The Department of Electrical Engineering and Computer Sciences (EECS) offers two graduate programs in Computer Science: the Master of Science (MS), and the Doctor of Philosophy (PhD).

Master of Science (MS)

The Master of Science (MS) emphasizes research preparation and experience and, for most students, is a chance to lay the groundwork for pursuing a PhD.

Doctor of Philosophy (PhD)

The Berkeley PhD in EECS combines coursework and original research with some of the finest EECS faculty in the US preparing for careers in academia or industry. Our alumni have gone on to hold amazing positions around the world.

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Admissions

Admission to the University

Minimum Requirements for Admission

The following minimum requirements apply to all graduate programs and will be verified by the Graduate Division:

  1. A bachelor’s degree or recognized equivalent from an accredited institution;
  2. A grade point average of B or better (3.0);
  3. If the applicant comes from a country or political entity (e.g., Quebec) where English is not the official language, adequate proficiency in English to do graduate work, as evidenced by a TOEFL score of at least 90 on the iBT test, 570 on the paper-and-pencil test, or an IELTS Band score of at least 7 (note that individual programs may set higher levels for any of these); and
  4. Sufficient undergraduate training to do graduate work in the given field.

Applicants Who Already Hold a Graduate Degree

The Graduate Council views academic degrees not as vocational training certificates, but as evidence of broad training in research methods, independent study, and articulation of learning. Therefore, applicants who already have academic graduate degrees should be able to pursue new subject matter at an advanced level without need to enroll in a related or similar graduate program.

Programs may consider students for an additional academic master’s or professional master’s degree only if the additional degree is in a distinctly different field.

Applicants admitted to a doctoral program that requires a master’s degree to be earned at Berkeley as a prerequisite (even though the applicant already has a master’s degree from another institution in the same or a closely allied field of study) will be permitted to undertake the second master’s degree, despite the overlap in field.

The Graduate Division will admit students for a second doctoral degree only if they meet the following guidelines:

  1. Applicants with doctoral degrees may be admitted for an additional doctoral degree only if that degree program is in a general area of knowledge distinctly different from the field in which they earned their original degree. For example, a physics PhD could be admitted to a doctoral degree program in music or history; however, a student with a doctoral degree in mathematics would not be permitted to add a PhD in statistics.
  2. Applicants who hold the PhD degree may be admitted to a professional doctorate or professional master’s degree program if there is no duplication of training involved.

Applicants may apply only to one single degree program or one concurrent degree program per admission cycle.

Required Documents for Applications

  1. Transcripts: Applicants may upload unofficial transcripts with your application for the departmental initial review. If the applicant is admitted, then official transcripts of all college-level work will be required. Official transcripts must be in sealed envelopes as issued by the school(s) attended. If you have attended Berkeley, upload your unofficial transcript with your application for the departmental initial review. If you are admitted, an official transcript with evidence of degree conferral will not be required.
  2. Letters of recommendation: Applicants may request online letters of recommendation through the online application system. Hard copies of recommendation letters must be sent directly to the program, not the Graduate Division.
  3. Evidence of English language proficiency: All applicants from countries or political entities in which the official language is not English are required to submit official evidence of English language proficiency. This applies to applicants from Bangladesh, Burma, Nepal, India, Pakistan, Latin America, the Middle East, the People’s Republic of China, Taiwan, Japan, Korea, Southeast Asia, most European countries, and Quebec (Canada). However, applicants who, at the time of application, have already completed at least one year of full-time academic course work with grades of B or better at a US university may submit an official transcript from the US university to fulfill this requirement. The following courses will not fulfill this requirement:
    • courses in English as a Second Language,
    • courses conducted in a language other than English,
    • courses that will be completed after the application is submitted, and
    • courses of a non-academic nature.

If applicants have previously been denied admission to Berkeley on the basis of their English language proficiency, they must submit new test scores that meet the current minimum from one of the standardized tests.

Where to Apply

Visit the Berkeley Graduate Division application page. 

Admission to the Program

The following items are required for admission to the Berkeley EECS MS/PhD program in addition to the University’s general graduate admissions requirements:

  1. GRE Scores: All three sections of the GRE are required. Send your scores electronically to Institution Code 4833. (Scores must be from the last five years.)
  2. Statement of Purpose: Why are you applying for this program? What will you do during this degree program? What do you want to do after and how will this help you?
  3. Personal History Statement: What from your past made you decide to go into this field? And how will your personal history help you succeed in this program and your future goals?
  4. GPA: If you attended a university outside of the USA, please leave the GPA section blank.
  5. Resume: Please also include a full resume/CV listing your experience and education.

Complete the online UC Berkeley graduate application:

  1. Start your application through this link, and fill in each relevant page.
  2. Upload the materials above, and send the recommender links several weeks prior to the application deadline, to give your recommenders time to submit their letters.

Doctoral Degree Requirements

Normative Time Requirements

Normative time in the EECS department is between 5.5-6 years for the doctoral program.

Time to Advancement

Curriculum

The faculty of the College of Engineering recommends a minimum number of courses taken while in graduate standing. The total minimum is 24 units of coursework, taken for a letter grade and not including 298, 299, 301, and 602. Students entering prior to fall 2009 have the option of completing 32 units of coursework with a reduced teaching requirement.

12 units from one major field within EECS, with a 3.5 grade point average12
6 units from one minor field within EECS, with a 3.0 grade point average6
6 units from one minor field outside EECS, with a 3.0 grade point average6
COMPSCI 375Teaching Techniques for Computer Science2

Preliminary Exams

The EECS preliminary requirement consists of two components.

Oral Examination

The oral exam serves an advisory role in a student's graduate studies program, giving official feedback from the exam committee of faculty members. Students must be able to demonstrate an integrated grasp of the exam area's body of knowledge in an unstructured framework. Students must pass the oral portion of the preliminary exam within their first two attempts. A third attempt is possible with a petition of support from the student's faculty adviser and final approval by the prelim committee chair. Failure to pass the oral portion of the preliminary exam will result in the student being ineligible to complete the PhD program. The examining committee awards a score in the range of 0-10. The minimum passing score is 6.0.

Breadth Courses

The breadth courses ensure that students have an exposure to areas outside of their concentration. It is expected that students achieve high academic standards in these courses.

CS students must complete courses from three of the following areas, passing each with at least a B+. One course must be selected from the Theory, AI, or Graphics/HCI group; and one course must be selected from the Programming, Systems, or Architecture/VLSI group1.

Theory
COMPSCI 270Combinatorial Algorithms and Data Structures3
COMPSCI 271Randomness and Computation3
COMPSCI 273Foundations of Parallel Computation3
COMPSCI 274Computational Geometry3
COMPSCI 276Cryptography3
AI
COMPSCI C280Computer Vision3
COMPSCI C281AStatistical Learning Theory3
COMPSCI C281BAdvanced Topics in Learning and Decision Making3
COMPSCI 287Advanced Robotics3
COMPSCI 288Natural Language Processing4
COMPSCI 289AIntroduction to Machine Learning4
Graphics/HCI
COMPSCI 260BHuman-Computer Interaction Research3
Programming
COMPSCI 263Design of Programming Languages3
COMPSCI 264Implementation of Programming Languages4
COMPSCI 265Compiler Optimization and Code Generation3
COMPSCI C267Applications of Parallel Computers3
EL ENG 219CCourse Not Available3
Systems
COMPSCI 261Security in Computer Systems3
COMPSCI 261NInternet and Network Security4
COMPSCI 262AAdvanced Topics in Computer Systems4
COMPSCI 262BAdvanced Topics in Computer Systems3
COMPSCI 268Computer Networks3
COMPSCI 286BImplementation of Data Base Systems3
Architecture/VLSI
COMPSCI 250VLSI Systems Design4
COMPSCI 252Graduate Computer Architecture4
1

COMPSCI 260B, COMPSCI 263, and EL ENG 219C cannot be used to fulfill this constraint, though they can be used to complete one of the three courses.

Qualifying Examination (QE)

The QE is an important checkpoint meant to show that a student is on a promising research track toward the PhD degree. It is a University examination, administered by the Graduate Council, with the specific purpose of demonstrating that "the student is clearly an expert in those areas of the discipline that have been specified for the examination, and that he or she can, in all likelihood, design and produce an acceptable dissertation." Despite such rigid criteria, faculty examiners recognize that the level of expertise expected is that appropriate for a third year graduate student who may be only in the early stages of a research project.

The EECS Department offers the qualifying exam in two formats: A or B. Students may choose the exam type of their choice after consultation with their adviser.

Format A
  1. Students prepare a write-up and presentation summarizing a specific research area, preferably the one in which they intend to do their dissertation work. Their summary surveys that area and describes open and interesting research problems.
  2. They describe why they chose these problems and indicate what direction their research may take in the future.
  3. They prepare to display expertise on both the topic presented and on any related material that the committee thinks is relevant.
  4. The student should talk (at least briefly) about any research progress to date (e.g., MS project, PhD research, or class project). Some evidence of the ability to do research is expected.
  5. The committee shall evaluate students on the basis of their comprehension of the fundamental facts and principles that apply within their research area and the student’s ability to think incisively and critically about the theoretical and practical aspects of this field.
  6.  Students must demonstrate command of the content and the ability to design and produce an acceptable dissertation.
Format B

This option includes the presentation and defense of a thesis proposal in addition to the requirements of format A. It will include a summary of research to date and plans for future work (or at least the next stage thereof). The committee shall not only evaluate the student's thesis proposal and his/her progress to date, but shall also evaluate according to format A. As in format A, the student should prepare a single document and presentation, but in this case additional emphasis must be placed on research completed to date and plans for the remainder of the dissertation research.

Thesis Proposal Defense

Students not presenting a satisfactory thesis proposal defense, either because they took format A for the QE or because the material presented in an format B exam was not deemed a satisfactory proposal defense (although it may have sufficed to pass the QE), must write up and present a thesis proposal, which should include a summary of the research to date and plans for the remainder of the dissertation research. They should be prepared to discuss background and related areas, but the focus of the proposal should be on the progress made so far, and detailed plans for completing the thesis. The standard for continuing on with PhD research is that the proposal has sufficient merit to lead to a satisfactory dissertation. Another purpose of this presentation is for faculty to provide feedback on the quality of work to date. For this step, the committee should consist of at least three members from EECS familiar with the research area, preferably including those on the dissertation committee.

Normative Time in Candidacy

Advancement to Candidacy

Students must file the advancement form in the Graduate Office no later than the end of the semester following the one in which the qualifying exam was passed. In approving this application, Graduate Division approves the dissertation committee and will send a certificate of candidacy.

Dissertation Talk

As part of the requirements for the doctoral degree, students must give a public talk on the research covered by their dissertation. The dissertation talk is to be given a few months before the signing of the final submission of the dissertation. The talk should cover all the major components of the dissertation work in a substantial manner; in particular, the dissertation talk should not omit topics that will appear in the dissertation but are incomplete at the time of the talk.

The dissertation talk is to be attended by the whole dissertation committee, or, if this is not possible, by at least a majority of the members. Attendance at this talk is part of the committee's responsibility. It is, however, the responsibility of the student to schedule a time for the talk that is convenient for members of the committee.

Required Professional Development

Graduate Student Instructor Teaching Requirement

The department requires all PhD candidates to serve as graduate student instructors (GSIs) within the EECS department. The GSI teaching requirement not only helps to develop a student's communication skills, but it also makes a great contribution to the department's academic community. Students must fulfill this requirement by working as a GSI (excluding EL ENG 375 or COMPSCI 375) for a total of 30 hours minimum prior to graduation. At least 20 of those hours must be for an EE or CS undergraduate course.

Master's Degree Requirements

Unit requirements

A minimum of 24 units is required.

Curriculum

All courses must be taken for a letter grade, except courses numbered  299s, which are only offered for S/U credit.

Students must maintain a minimum cumulative GPA of 3.0. No credit will be given for courses in which the student earns a grade of D+ or below.

Transfer credit may be awarded for a maximum of four semester or six quarter units of graduate coursework from another institution.

Plan I

10 units of courses, selected from the 200-series (excluding 298 and 299) in EECS
EL ENG 299Individual Research4-10
or COMPSCI 299 Individual Research
Upper division or graduate courses to reach the minimum of 24 units

Plan II

10 units of courses, selected from the 200-series (excluding 298 and 299) in EECS
EL ENG 299Individual Research3-6
or COMPSCI 299 Individual Research
Upper division or graduate courses to reach the minimum of 24 units

Advancement to Candidacy

For both Plan I and Plan II MS students, students need to complete the departmental Advance to Candidacy form, have their research adviser sign it, and submit the form to the department. Once a student is advanced to candidacy, candidacy is valid for three years.

Capstone/Thesis (Plan I)

Students planning to use Plan I for their MS Degree will need to follow the Graduate Division's “Thesis Filing Guidelines." They will also need to complete the Graduate Division Advance to Candidacy form and submit this to the department no later than the end of the second week of classes of their final semester.

Capstone/Master's Project (Plan II)

Students planning to use Plan II for their MS Degree will need to produce an MS Plan II Title/Signature Page. There is no special formatting required for the body of the Plan II MS report unlike the Plan I MS thesis which must follow strict Graduate Division guidelines.

Courses

Select a subject to view courses

Electrical Engineering and Computer Sciences

EECS 206A Introduction to Robotics 4 Units

Terms offered: Fall 2018, Fall 2017
An introduction to the kinematics, dynamics, and control of robot manipulators, robotic vision, and sensing. The course will cover forward and inverse kinematics of serial chain manipulators, the manipulator Jacobian, force relations, dynamics and control-position, and force control. Proximity, tactile, and force sensing. Network modeling, stability, and fidelity in teleoperation and medical applications of robotics.
Introduction to Robotics: Read More [+]

EECS 206B Robotic Manipulation and Interaction 4 Units

Terms offered: Spring 2018
This course is a sequel to EECS C106A/206A, 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 [+]

EECS 219C Formal Methods: Specification, Verification, and Synthesis 3 Units

Terms offered: Spring 2018
Introduction to the theory and practice of formal methods for the design and analysis of systems, with a focus on algorithmic techniques. Covers selected topics in computational logic and automata theory including modeling and specification formalisms, temporal logics, satisfiability solving, model checking, synthesis, learning, and theorem proving. Applications to software and hardware design, cyber-physical systems, robotics, computer security, and other areas will be explored as time permits.
Formal Methods: Specification, Verification, and Synthesis: Read More [+]

EECS 227AT Optimization Models in Engineering 4 Units

Terms offered: Fall 2018, Spring 2018, Fall 2017
This course offers an introduction to optimization models and their applications, ranging from machine learning and statistics to decision-making and control, with emphasis on numerically tractable problems, such as linear or constrained least-squares optimization.
Optimization Models in Engineering: Read More [+]

EECS 251A Introduction to Digital Design and Integrated Circuits 3 Units

Terms offered: Fall 2018, Spring 2018, Fall 2017
An introduction to digital circuit and system design. The material provides a top-down view of the principles, components, and methodologies for large scale digital system design. The underlying CMOS devices and manufacturing technologies are introduced, but quickly abstracted to higher levels to focus the class on design of larger digital modules for both FPGAs (field programmable gate arrays) and ASICs (application specific integrated circuits). The class includes extensive use of industrial grade design automation and verification tools for assignments, labs, and projects.
Introduction to Digital Design and Integrated Circuits: Read More [+]

EECS 251LA Introduction to Digital Design and Integrated Circuits Lab 2 Units

Terms offered: Fall 2018, Spring 2018, Fall 2017
This lab lays the foundation of modern digital design by first presenting the scripting and hardware description language base for specification of digital systems and interactions with tool flows. The labs are centered on a large design with the focus on rapid design space exploration. The lab exercises culminate with a project design, e.g. implementation of a 3-stage RISC-V processor with a register file and caches. The design is mapped to simulation and layout specification.
Introduction to Digital Design and Integrated Circuits Lab: Read More [+]

EECS 251LB Introduction to Digital Design and Integrated Circuits Lab 2 Units

Terms offered: Fall 2018, Spring 2018, Fall 2017
This lab covers the design of modern digital systems with Field-Programmable Gate Array (FPGA) platforms. A series of lab exercises provide the background and practice of digital design using a modern FPGA design tool flow. Digital synthesis, partitioning, placement, routing, and simulation tools for FPGAs are covered in detail. The labs exercises culminate with a large design project, e.g., an implementation of a full 3-stage RISC-V processor system, with caches, graphics acceleration, and external peripheral components. The design is mapped and demonstrated on an FPGA hardware platform.
Introduction to Digital Design and Integrated Circuits Lab: Read More [+]

Computer Science

COMPSCI C200A Principles and Techniques of Data Science 4 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Not yet offered
Explores the data science lifecycle: question formulation, data collection and cleaning, exploratory, analysis, visualization, statistical inference, prediction, and decision-making. Focuses on quantitative critical thinking and key principles and techniques: languages for transforming, querying and analyzing data; algorithms for machine learning methods: regression, classification and clustering; principles of informative visualization; measurement error and prediction; and techniques for scalable data processing. Research term project.,Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2018
Explores the data science lifecycle: question formulation, data collection and cleaning, exploratory, analysis, visualization, statistical inference, prediction, and decision-making. Focuses on quantitative critical thinking and key principles and techniques: languages for transforming, querying and analyzing data; algorithms for machine learning methods: regression, classification and clustering; principles of informative visualization; measurement error and prediction; and techniques for scalable data processing. Research term project.
Principles and Techniques of Data Science: Read More [+]

COMPSCI C200A Principles and Techniques of Data Science 4 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Not yet offered
Explores the data science lifecycle: question formulation, data collection and cleaning, exploratory, analysis, visualization, statistical inference, prediction, and decision-making. Focuses on quantitative critical thinking and key principles and techniques: languages for transforming, querying and analyzing data; algorithms for machine learning methods: regression, classification and clustering; principles of informative visualization; measurement error and prediction; and techniques for scalable data processing. Research term project.,Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2018
Explores the data science lifecycle: question formulation, data collection and cleaning, exploratory, analysis, visualization, statistical inference, prediction, and decision-making. Focuses on quantitative critical thinking and key principles and techniques: languages for transforming, querying and analyzing data; algorithms for machine learning methods: regression, classification and clustering; principles of informative visualization; measurement error and prediction; and techniques for scalable data processing. Research term project.
Principles and Techniques of Data Science: Read More [+]

COMPSCI C200A Principles and Techniques of Data Science 4 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Not yet offered
Explores the data science lifecycle: question formulation, data collection and cleaning, exploratory, analysis, visualization, statistical inference, prediction, and decision-making. Focuses on quantitative critical thinking and key principles and techniques: languages for transforming, querying and analyzing data; algorithms for machine learning methods: regression, classification and clustering; principles of informative visualization; measurement error and prediction; and techniques for scalable data processing. Research term project.,Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2018
Explores the data science lifecycle: question formulation, data collection and cleaning, exploratory, analysis, visualization, statistical inference, prediction, and decision-making. Focuses on quantitative critical thinking and key principles and techniques: languages for transforming, querying and analyzing data; algorithms for machine learning methods: regression, classification and clustering; principles of informative visualization; measurement error and prediction; and techniques for scalable data processing. Research term project.
Principles and Techniques of Data Science: Read More [+]

COMPSCI C200A Principles and Techniques of Data Science 4 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Not yet offered
Explores the data science lifecycle: question formulation, data collection and cleaning, exploratory, analysis, visualization, statistical inference, prediction, and decision-making. Focuses on quantitative critical thinking and key principles and techniques: languages for transforming, querying and analyzing data; algorithms for machine learning methods: regression, classification and clustering; principles of informative visualization; measurement error and prediction; and techniques for scalable data processing. Research term project.,Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2018
Explores the data science lifecycle: question formulation, data collection and cleaning, exploratory, analysis, visualization, statistical inference, prediction, and decision-making. Focuses on quantitative critical thinking and key principles and techniques: languages for transforming, querying and analyzing data; algorithms for machine learning methods: regression, classification and clustering; principles of informative visualization; measurement error and prediction; and techniques for scalable data processing. Research term project.
Principles and Techniques of Data Science: Read More [+]

COMPSCI C249A Introduction to Embedded Systems 4 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2018, Fall 2017, Fall 2016
This course introduces students to the basics of models, analysis tools, and control for embedded systems operating in real time. Students learn how to combine physical processes with computation. Topics include models of computation, control, analysis and verification, interfacing with the physical world, mapping to platforms, and distributed embedded systems. The course has a strong laboratory component, with emphasis on a semester-long sequence of projects.
Introduction to Embedded Systems: Read More [+]

COMPSCI 250 VLSI Systems Design 4 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Spring 2017, Spring 2016, Fall 2014
Unified top-down and bottom-up design of integrated circuits and systems concentrating on architectural and topological issues. VLSI architectures, systolic arrays, self-timed systems. Trends in VLSI development. Physical limits. Tradeoffs in custom-design, standard cells, gate arrays. VLSI design tools.
VLSI Systems Design: Read More [+]

COMPSCI 252 Graduate Computer Architecture 4 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Spring 2018, Spring 2017, Fall 2015
Graduate survey of contemporary computer organizations covering: early systems, CPU design, instruction sets, control, processors, busses, ALU, memory, I/O interfaces, connection networks, virtual memory, pipelined computers, multiprocessors, and case studies. Term paper or project is required.
Graduate Computer Architecture: Read More [+]

COMPSCI 260A User Interface Design and Development 4 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2018, Spring 2018, Fall 2017
The design, implementation, and evaluation of user interfaces. User-centered design and task analysis. Conceptual models and interface metaphors. Usability inspection and evaluation methods. Analysis of user study data. Input methods (keyboard, pointing, touch, tangible) and input models. Visual design principles. Interface prototyping and implementation methodologies and tools. Students will develop a user interface for a specific task and target user group in teams.
User Interface Design and Development: Read More [+]

COMPSCI 260B Human-Computer Interaction Research 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2017
This course is a broad introduction to conducting research in Human-Computer Interaction. Students will become familiar with seminal and recent literature; learn to review and critique research papers; re-implement and evaluate important existing systems; and gain experience in conducting research. Topics include input devices, computer-supported cooperative work, crowdsourcing, design tools, evaluation methods, search and mobile interfaces, usable security, help and tutorial systems.
Human-Computer Interaction Research: Read More [+]

COMPSCI 261 Security in Computer Systems 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2017, Fall 2015, Fall 2012
Graduate survey of modern topics in computer security, including protection, access control, distributed access security, firewalls, secure coding practices, safe languages, mobile code, and case studies from real-world systems. May also cover cryptographic protocols, privacy and anonymity, and/or other topics as time permits.
Security in Computer Systems: Read More [+]

COMPSCI 261N Internet and Network Security 4 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2016, Spring 2015, Spring 2014
Develops a thorough grounding in Internet and network security suitable for those interested in conducting research in the area or those more broadly interested in security or networking. Potential topics include denial-of-service; capabilities; network intrusion detection/prevention; worms; forensics; scanning; traffic analysis; legal issues; web attacks; anonymity; wireless and networked devices; honeypots; botnets; scams; underground economy; attacker infrastructure; research pitfalls.
Internet and Network Security: Read More [+]

COMPSCI 262A Advanced Topics in Computer Systems 4 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2018, Spring 2018, Fall 2016
Graduate survey of systems for managing computation and information, covering a breadth of topics: early systems; volatile memory management, including virtual memory and buffer management; persistent memory systems, including both file systems and transactional storage managers; storage metadata, physical vs. logical naming, schemas, process scheduling, threading and concurrency control; system support for networking, including remote procedure calls, transactional RPC, TCP, and active messages; security infrastructure; extensible systems and APIs; performance analysis and engineering of large software systems. Homework assignments, exam, and term paper or project required.
Advanced Topics in Computer Systems: Read More [+]

COMPSCI 262B Advanced Topics in Computer Systems 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Spring 2009, Fall 2008, Spring 2006
Continued graduate survey of large-scale systems for managing information and computation. Topics include basic performance measurement; extensibility, with attention to protection, security, and management of abstract data types; index structures, including support for concurrency and recovery; parallelism, including parallel architectures, query processing and scheduling; distributed data management, including distributed and mobile file systems and databases; distributed caching; large-scale data analysis and search. Homework assignments, exam, and term paper or project required.
Advanced Topics in Computer Systems: Read More [+]

COMPSCI 263 Design of Programming Languages 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Spring 2014, Fall 2012, Spring 2012
Selected topics from: analysis, comparison, and design of programming languages, formal description of syntax and semantics, advanced programming techniques, structured programming, debugging, verification of programs and compilers, and proofs of correctness.
Design of Programming Languages: Read More [+]

COMPSCI 264 Implementation of Programming Languages 4 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Spring 2011, Spring 2010, Spring 2005
Compiler construction. Lexical analysis, syntax analysis. Semantic analysis code generation and optimization. Storage management. Run-time organization.
Implementation of Programming Languages: Read More [+]

COMPSCI 265 Compiler Optimization and Code Generation 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2009, Spring 2003, Spring 2000
Table-driven and retargetable code generators. Register management. Flow analysis and global optimization methods. Code optimization for advanced languages and architectures. Local code improvement. Optimization by program transformation. Selected additional topics. A term paper or project is required.
Compiler Optimization and Code Generation: Read More [+]

COMPSCI C267 Applications of Parallel Computers 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Spring 2018, Spring 2017, Spring 2016
Models for parallel programming. Fundamental algorithms for linear algebra, sorting, FFT, etc. Survey of parallel machines and machine structures. Exiting parallel programming languages, vectorizing compilers, environments, libraries and toolboxes. Data partitioning techniques. Techniques for synchronization and load balancing. Detailed study and algorithm/program development of medium sized applications.
Applications of Parallel Computers: Read More [+]

COMPSCI W267 Applications of Parallel Computers 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Not yet offered
Parallel programming, from laptops to supercomputers to the cloud. Goals include writing programs that run fast while minimizing programming effort. Parallel architectures and programming languages and models, including shared memory (eg OpenMP on your multicore laptop), distributed memory (MPI and UPC on a supercomputer), GPUs (CUDA and OpenCL), and cloud (MapReduce, Hadoop and Spark). Parallel algorithms and software tools for common computations (eg dense and sparse linear algebra, graphs, structured grids). Tools for load balancing, performance analysis, debugging. How high level applications are built (eg climate modeling). On-line lectures and office hours.
Applications of Parallel Computers: Read More [+]

COMPSCI 268 Computer Networks 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Spring 2016, Spring 2015, Spring 2014
Distributed systems, their notivations, applications, and organization. The network component. Network architectures. Local and long-haul networks, technologies, and topologies. Data link, network, and transport protocols. Point-to-point and broadcast networks. Routing and congestion control. Higher-level protocols. Naming. Internetworking. Examples and case studies.
Computer Networks: Read More [+]

COMPSCI 270 Combinatorial Algorithms and Data Structures 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Spring 2017, Spring 2016, Spring 2015
Design and analysis of efficient algorithms for combinatorial problems. Network flow theory, matching theory, matroid theory; augmenting-path algorithms; branch-and-bound algorithms; data structure techniques for efficient implementation of combinatorial algorithms; analysis of data structures; applications of data structure techniques to sorting, searching, and geometric problems.
Combinatorial Algorithms and Data Structures: Read More [+]

COMPSCI 271 Randomness and Computation 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Spring 2018, Fall 2011, Fall 2008
Computational applications of randomness and computational theories of randomness. Approximate counting and uniform generation of combinatorial objects, rapid convergence of random walks on expander graphs, explicit construction of expander graphs, randomized reductions, Kolmogorov complexity, pseudo-random number generation, semi-random sources.
Randomness and Computation: Read More [+]

COMPSCI 273 Foundations of Parallel Computation 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Spring 2012, Fall 2010, Spring 2009
. Fundamental theoretical issues in designing parallel algorithms and architectures. Shared memory models of parallel computation. Parallel algorithms for linear algegra, sorting, Fourier Transform, recurrence evaluation, and graph problems. Interconnection network based models. Algorithm design techniques for networks like hypercubes, shuffle-exchanges, threes, meshes and butterfly networks. Systolic arrays and techniques for generating them. Message routing.
Foundations of Parallel Computation: Read More [+]

COMPSCI 274 Computational Geometry 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Spring 2017, Spring 2015, Spring 2013
. Constructive problems in computational geometry: convex hulls, triangulations, Voronoi diagrams, arrangements of hyperplanes; relationships among these problems. Search problems: advanced data structures; subdivision search; various kinds of range searches. Models of computation; lower bounds.
Computational Geometry: Read More [+]

COMPSCI 276 Cryptography 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2018, Fall 2017, Fall 2016
Graduate survey of modern topics on theory, foundations, and applications of modern cryptography. One-way functions; pseudorandomness; encryption; authentication; public-key cryptosystems; notions of security. May also cover zero-knowledge proofs, multi-party cryptographic protocols, practical applications, and/or other topics, as time permits.
Cryptography: Read More [+]

COMPSCI C280 Computer Vision 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Spring 2018, Spring 2017, Spring 2016
Paradigms for computational vision. Relation to human visual perception. Mathematical techniques for representing and reasoning, with curves, surfaces and volumes. Illumination and reflectance models. Color perception. Image segmentation and aggregation. Methods for bottom-up three dimensional shape recovery: Line drawing analysis, stereo, shading, motion, texture. Use of object models for prediction and recognition.
Computer Vision: Read More [+]

COMPSCI C281A Statistical Learning Theory 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2016, Fall 2015, Fall 2014
Classification regression, clustering, dimensionality, reduction, and density estimation. Mixture models, hierarchical models, factorial models, hidden Markov, and state space models, Markov properties, and recursive algorithms for general probabilistic inference nonparametric methods including decision trees, kernal methods, neural networks, and wavelets. Ensemble methods.
Statistical Learning Theory: Read More [+]

COMPSCI C281B Advanced Topics in Learning and Decision Making 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Spring 2017, Spring 2016, Spring 2014
Recent topics include: Graphical models and approximate inference algorithms. Markov chain Monte Carlo, mean field and probability propagation methods. Model selection and stochastic realization. Bayesian information theoretic and structural risk minimization approaches. Markov decision processes and partially observable Markov decision processes. Reinforcement learning.
Advanced Topics in Learning and Decision Making: Read More [+]

COMPSCI 284A Foundations of Computer Graphics 4 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Spring 2018, Spring 2017, Fall 2016
Techniques of modeling objects for the purpose of computer rendering: boundary representations, constructive solids geometry, hierarchical scene descriptions. Mathematical techniques for curve and surface representation. Basic elements of a computer graphics rendering pipeline; architecture of modern graphics display devices. Geometrical transformations such as rotation, scaling, translation, and their matrix representations. Homogeneous coordinates, projective and perspective transformations.
Foundations of Computer Graphics: Read More [+]

COMPSCI 284B Advanced Computer Graphics Algorithms and Techniques 4 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Spring 2017
This course provides a graduate-level introduction to advanced computer graphics algorithms and techniques. Students should already be familiar with basic concepts such as transformations, scan-conversion, scene graphs, shading, and light transport. Topics covered in this course include global illumination, mesh processing, subdivision surfaces, basic differential geometry, physically based animation, inverse kinematics, imaging and computational photography, and precomputed light transport.
Advanced Computer Graphics Algorithms and Techniques: Read More [+]

COMPSCI 286A Introduction to Database Systems 4 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2018, Spring 2018, Fall 2017
Access methods and file systems to facilitate data access. Hierarchical, network, relational, and object-oriented data models. Query languages for models. Embedding query languages in programming languages. Database services including protection, integrity control, and alternative views of data. High-level interfaces including application generators, browsers, and report writers. Introduction to transaction processing. Database system implementation to be done as term project.
Introduction to Database Systems: Read More [+]

COMPSCI 286B Implementation of Data Base Systems 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2014
Implementation of data base systems on modern hardware systems. Considerations concerning operating system design, including buffering, page size, prefetching, etc. Query processing algorithms, design of crash recovery and concurrency control systems. Implementation of distributed data bases and data base machines.
Implementation of Data Base Systems: Read More [+]

COMPSCI 287 Advanced Robotics 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2015, Spring 2015, Fall 2013
Advanced topics related to current research in algorithms and artificial intelligence for robotics. Planning, control, and estimation for realistic robot systems, taking into account: dynamic constraints, control and sensing uncertainty, and non-holonomic motion constraints.
Advanced Robotics: Read More [+]

COMPSCI 287H Algorithmic Human-Robot Interaction 4 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Not yet offered
As robot autonomy advances, it becomes more and more important to develop algorithms that are not solely functional, but also mindful of the end-user. How should the robot move differently when it's moving in the presence of a human? How should it learn from user feedback? How should it assist the user in accomplishing day to day tasks? These are the questions we will investigate in this course.
We will contrast existing algorithms in robotics with studies in human-robot interaction, discussing how to tackle interaction challenges in an algorithmic way, with the goal of enabling generalization across robots and tasks. We will also sharpen research skills: giving good talks, experimental design, statistical analysis, literature surveys.
Algorithmic Human-Robot Interaction: Read More [+]

COMPSCI 288 Natural Language Processing 4 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2014, Spring 2013, Spring 2011
Methods and models for the analysis of natural (human) language data. Topics include: language modeling, speech recognition, linguistic analysis (syntactic parsing, semantic analysis, reference resolution, discourse modeling), machine translation, information extraction, question answering, and computational linguistics techniques.
Natural Language Processing: Read More [+]

COMPSCI 289A Introduction to Machine Learning 4 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2018, Spring 2018, Fall 2017
This course provides an introduction to theoretical foundations, algorithms, and methodologies for machine learning, emphasizing the role of probability and optimization and exploring a variety of real-world applications. Students are expected to have a solid foundation in calculus and linear algebra as well as exposure to the basic tools of logic and probability, and should be familiar with at least one modern, high-level programming language.
Introduction to Machine Learning: Read More [+]

COMPSCI 294 Special Topics 1 - 4 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2018, Spring 2018, Fall 2017
Topics will vary from semester to semester. See Computer Science Division announcements.
Special Topics: Read More [+]

COMPSCI 297 Field Studies in Computer Science 12.0 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Spring 2016, Fall 2015, Summer 2015 10 Week Session
Supervised experience in off-campus companies relevant to specific aspects and applications of electrical engineering and/or computer science. Written report required at the end of the semester.
Field Studies in Computer Science: Read More [+]

COMPSCI 298 Group Studies Seminars, or Group Research 1 - 4 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2018, Spring 2018, Fall 2017
Advanced study in various subjects through seminars on topics to be selected each year, informal group studies of special problems, group participation in comprehensive design problems, or group research on complete problems for analysis and experimentation.
Group Studies Seminars, or Group Research: Read More [+]

COMPSCI 299 Individual Research 1 - 12 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2018, Summer 2017 Second 6 Week Session, Fall 2016
Investigations of problems in computer science.
Individual Research: Read More [+]

COMPSCI 300 Teaching Practice 1 - 6 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2012, Fall 2011, Spring 2011
Supervised teaching practice, in either a one-on-one tutorial or classroom discussion setting.
Teaching Practice: Read More [+]

COMPSCI 302 Designing Computer Science Education 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Spring 2014, Spring 2012, Spring 2010
Discussion and review of research and practice relating to the teaching of computer science: knowledge organization and misconceptions, curriculum and topic organization, evaluation, collaborative learning, technology use, and administrative issues. As part of a semester-long project to design a computer science course, participants invent and refine a variety of homework and exam activities, and evaluate alternatives for textbooks, grading and other administrative policies, and innovative uses of technology.
Designing Computer Science Education: Read More [+]

COMPSCI 370 Introduction to Teaching Computer Science 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2018, Spring 2018
This is a course for aspiring teachers or those who want to instruct with expertise from evidence-based research and proven best practices. It provides pedagogical training by introducing the Big Ideas of Teaching and Learning, and illustrating how to put them into practice. The course is divided into three sections—instructing the individual; a group; and psycho-social factors that greatly affect learning at any level. These sections are designed to enhance any intern’s, tutor’s, or TA’s skillset. Class is discussion based, and covers theoretical and practical pedagogical aspects to teaching in STEM. An integral feature of the course involves providing weekly tutoring sessions.
Introduction to Teaching Computer Science: Read More [+]

COMPSCI 375 Teaching Techniques for Computer Science 2 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2018, Spring 2018, Fall 2017
Discussion and practice of techniques for effective teaching, focusing on issues most relevant to teaching assistants in computer science courses.
Teaching Techniques for Computer Science: Read More [+]

COMPSCI 399 Professional Preparation: Supervised Teaching of Computer Science 1 or 2 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2016, Spring 2016, Fall 2015
Discussion, problem review and development, guidance of computer science laboratory sections, course development, supervised practice teaching.
Professional Preparation: Supervised Teaching of Computer Science: Read More [+]

COMPSCI 602 Individual Study for Doctoral Students 1 - 8 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2015, Fall 2014, Spring 2014
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. (and other doctoral degrees).
Individual Study for Doctoral Students: Read More [+]

Electrical Engineering

EL ENG 206A Introduction to Robotics 4 Units

Offered through: Electrical Engin and Computer Sci
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 will cover forward and inverse kinematics of serial chain manipulators, the manipulator Jacobian, force relations, dynamics and control-position, and force control. Proximity, tactile, and force sensing. Network modeling, stability, and fidelity in teleoperation and medical applications of robotics.
Introduction to Robotics: Read More [+]

EL ENG 206B Robotic Manipulation and Interaction 4 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Spring 2018, Spring 2017
This course is a sequel to EECS 125/225, 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 [+]

EL ENG 210 Applied Electromagnetic Theory 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Spring 2011, Spring 2010, Fall 2006
Advanced treatment of classical electromagnetic theory with engineering applications. Boundary value problems in electrostatics. Applications of Maxwell's Equations to the study of waveguides, resonant cavities, optical fiber guides, Gaussian optics, diffraction, scattering, and antennas.
Applied Electromagnetic Theory: Read More [+]

EL ENG 213A Power Electronics 4 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Spring 2018, Spring 2017
Power conversion circuits and techniques. Characterization and design of magnetic devices including transformers, inductors, and electromagnetic actuators. Characteristics of power semiconductor devices, including power diodes, SCRs, MOSFETs, IGBTs, and emerging wide bandgap devices. Applications to renewable energy systems, high-efficiency lighting, power management in mobile electronics, and electric machine drives. Simulation based laboratory and design project.
Power Electronics: Read More [+]

EL ENG C213 X-rays and Extreme Ultraviolet Radiation 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2017, Fall 2016, Spring 2009
This course explores modern developments in the physics and applications of x-rays and extreme ultraviolet (EUV) radiation. It begins with a review of electromagnetic radiation at short wavelengths including dipole radiation, scattering and refractive index, using a semi-classical atomic model. Subject matter includes the generation of x-rays with synchrotron radiation, high harmonic generation, x-ray free electron lasers, laser-plasma sources. Spatial and temporal coherence concepts are explained. Optics appropriate for this spectral region are described. Applications include nanoscale and astrophysical imaging, femtosecond and attosecond probing of electron dynamics in molecules and solids, EUV lithography, and materials characteristics.
X-rays and Extreme Ultraviolet Radiation: Read More [+]

EL ENG 218A Introduction to Optical Engineering 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2017, Fall 2016, Fall 2015
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 [+]

EL ENG 219A Numerical Simulation and Modeling 4 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2017, Fall 2015, Fall 2014
Numerical simulation and modeling are enabling technologies that pervade science and engineering. This course provides a detailed introduction to the fundamental principles of these technologies and their translation to engineering practice. The course emphasizes hands-on programming in MATLAB and application to several domains, including circuits, nanotechnology, and biology.
Numerical Simulation and Modeling: Read More [+]

EL ENG 219B Logic Synthesis 4 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Spring 2016, Spring 2015, Spring 2011
The course covers the fundamental techniques for the design and analysis of digital circuits. The goal is to provide a detailed understanding of basic logic synthesis and analysis algorithms, and to enable students to apply this knowledge in the design of digital systems and EDA tools. The course will present combinational circuit optimization (two-level and multi-level synthesis), sequential circuit optimization (state encoding, retiming), timing analysis, testing, and logic verification.
Logic Synthesis: Read More [+]

EL ENG C220A Advanced Control Systems I 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2018, Fall 2017, Fall 2016
Input-output and state space representation of linear continuous and discrete time dynamic systems. Controllability, observability, and stability. Modeling and identification. Design and analysis of single and multi-variable feedback control systems in transform and time domain. State observer. Feedforward/preview control. Application to engineering systems.
Advanced Control Systems I: Read More [+]

EL ENG C220B Experiential Advanced Control Design I 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2018, Fall 2017, Fall 2016
Experience-based learning in the design of SISO and MIMO feedback controllers for linear systems. The student will master skills needed to apply linear control design and analysis tools to classical and modern control problems. In particular, the participant will be exposed to and develop expertise in two key control design technologies: frequency-domain control synthesis and time-domain optimization-based approach.
Experiential Advanced Control Design I: Read More [+]

EL ENG C220C Experiential Advanced Control Design II 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Spring 2018, Spring 2017
Experience-based learning in the design, analysis, and verification of automatic control systems. The course emphasizes the use of computer-aided design techniques through case studies and design tasks. The student will master skills needed to apply advanced model-based control analysis, design, and estimation to a variety of industrial applications. The role of these specific design methodologies within the larger endeavor of control design is also addressed.
Experiential Advanced Control Design II: Read More [+]

EL ENG C220D Input/Output Methods for Compositional System Analysis 2 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Not yet offered
Introduction to input/output concepts from control theory, systems as operators in signal spaces, passivity and
small-gain theorems, dissipativity theory, integral quadratic constraints. Compositional stabilility and
performance certification for interconnected systems from subsystems input/output properties. Case studies in
multi-agent systems, biological networks, Internet congestion control, and adaptive control.
Input/Output Methods for Compositional System Analysis: Read More [+]

EL ENG 221A Linear System Theory 4 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2018, Fall 2017, Fall 2016
Basic system concepts; state-space and I/O representation. Properties of linear systems. Controllability, observability, minimality, state and output-feedback. Stability. Observers. Characteristic polynomial. Nyquist test.
Linear System Theory: Read More [+]

EL ENG 222 Nonlinear Systems--Analysis, Stability and Control 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Spring 2017, Spring 2016, Spring 2015
Basic graduate course in non-linear systems. Second Order systems. Numerical solution methods, the describing function method, linearization. Stability - direct and indirect methods of Lyapunov. Applications to the Lure problem - Popov, circle criterion. Input-Output stability. Additional topics include: bifurcations of dynamical systems, introduction to the "geometric" theory of control for nonlinear systems, passivity concepts and dissipative dynamical systems.
Nonlinear Systems--Analysis, Stability and Control: Read More [+]

EL ENG C222 Nonlinear Systems 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Spring 2018
Basic graduate course in nonlinear systems. Nonlinear phenomena, planar systems, bifurcations, center manifolds, existence and uniqueness theorems. Lyapunov’s direct and indirect methods, Lyapunov-based feedback stabilization. Input-to-state and input-output stability, and dissipativity theory. Computation techniques for nonlinear system analysis and design. Feedback linearization and sliding mode control methods.
Nonlinear Systems: Read More [+]

EL ENG 223 Stochastic Systems: Estimation and Control 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Spring 2018, Spring 2015, Fall 2011
Parameter and state estimation. System identification. Nonlinear filtering. Stochastic control. Adaptive control.
Stochastic Systems: Estimation and Control: Read More [+]

EL ENG 224A Digital Communications 4 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2010, Fall 2009, Fall 2008
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; channel equalization; information theoretic techniques; block, convolutional, and trellis coding techniques; multiuser communications and spread spectrum; multi-carrier techniques and FDM; carrier and symbol synchronization. Applications to design of digital telephone modems, compact disks, and digital wireless communication systems are illustrated. The concepts are illustrated by a sequence of MATLAB exercises.
Digital Communications: Read More [+]

EL ENG 224B Fundamentals of Wireless Communication 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Spring 2013, Spring 2012, Spring 2010
Introduction of the fundamentals of wireless communication. Modeling of the wireless multipath fading channel and its basic physical parameters. Coherent and noncoherent reception. Diversity techniques over time, frequency, and space. Spread spectrum communication. Multiple access and interference management in wireless networks. Frequency re-use, sectorization. Multiple access techniques: TDMA, CDMA, OFDM. Capacity of wireless channels. Opportunistic communication. Multiple antenna systems: spatial multiplexing, space-time codes. Examples from existing wireless standards.
Fundamentals of Wireless Communication: Read More [+]

EL ENG 225A Digital Signal Processing 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Spring 2017, Spring 2016, Spring 2015
Advanced techniques in signal processing. Stochastic signal processing, parametric statistical signal models, and adaptive filterings. Application to spectral estimation, speech and audio coding, adaptive equalization, noise cancellation, echo cancellation, and linear prediction.
Digital Signal Processing: Read More [+]

EL ENG 225B Digital Image Processing 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Spring 2018, Spring 2014, Fall 2013
2-D sequences and systems, separable systems, projection slice thm, reconstruction from projections and partial Fourier information, Z transform, different equations, recursive computability, 2D DFT and FFT, 2D FIR filter design; human eye, perception, psychophysical vision properties, photometry and colorimetry, optics and image systems; image enhancement, image restoration, geometrical image modification, morphological image processing, halftoning, edge detection, image compression: scalar quantization, lossless coding, huffman coding, arithmetic coding dictionary techniques, waveform and transform coding DCT, KLT, Hadammard, multiresolution coding pyramid, subband coding, Fractal coding, vector quantization, motion estimation and compensation, standards: JPEG, MPEG, H.xxx, pre- and post-processing, scalable image and video coding, image and video communication over noisy channels.
Digital Image Processing: Read More [+]

EL ENG 225D Audio Signal Processing in Humans and Machines 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Spring 2014, Spring 2012, Spring 2009
Introduction to relevant signal processing and basics of pattern recognition. Introduction to coding, synthesis, and recognition. Models of speech and music production and perception. Signal processing for speech analysis. Pitch perception and auditory spectral analysis with applications to speech and music. Vocoders and music synthesizers. Statistical speech recognition, including introduction to Hidden Markov Model and Neural Network approaches.
Audio Signal Processing in Humans and Machines: Read More [+]

EL ENG C225E Principles of Magnetic Resonance Imaging 4 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Spring 2018, Spring 2017, Spring 2016, Spring 2015
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 [+]

EL ENG 226A Random Processes in Systems 4 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2018, Fall 2017, Fall 2016
Probability, random variables and their convergence, random processes. Filtering of wide sense stationary processes, spectral density, Wiener and Kalman filters. Markov processes and Markov chains. Gaussian, birth and death, poisson and shot noise processes. Elementary queueing analysis. Detection of signals in Gaussian and shot noise, elementary parameter estimation.
Random Processes in Systems: Read More [+]

EL ENG 226B Applications of Stochastic Process Theory 2 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Spring 2017, Spring 2013, Spring 1997
Advanced topics such as: Martingale theory, stochastic calculus, random fields, queueing networks, stochastic control.
Applications of Stochastic Process Theory: Read More [+]

EL ENG 227BT Convex Optimization 4 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2018, Fall 2017, Fall 2016
Convex optimization is a class of nonlinear optimization problems where the objective to be minimized, and the constraints, are both convex. The course covers some convex optimization theory and algorithms, and describes various applications arising in engineering design, machine learning and statistics, finance, and operations research. The course includes laboratory assignments, which consist of hands-on experiments with the optimization software CVX, and a discussion section.
Convex Optimization: Read More [+]

EL ENG C227C Convex Optimization and Approximation 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Spring 2018, Spring 2017, Spring 2016
Convex optimization as a systematic approximation tool for hard decision problems. Approximations of combinatorial optimization problems, of stochastic programming problems, of robust optimization problems (i.e., with optimization problems with unknown but bounded data), of optimal control problems. Quality estimates of the resulting approximation. Applications in robust engineering design, statistics, control, finance, data mining, operations research.
Convex Optimization and Approximation: Read More [+]

EL ENG C227T Introduction to Convex Optimization 4 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Prior to 2007
The course covers some convex optimization theory and algorithms, and describes various applications arising in engineering design, machine learning and statistics, finance, and operations research. The course includes laboratory assignments, which consist of hands-on experience.
Introduction to Convex Optimization: Read More [+]

EL ENG 228A High Speed Communications Networks 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2014, Spring 2014, Fall 2011
Descriptions, models, and approaches to the design and management of networks. Optical transmission and switching technologies are described and analyzed using deterministic, stochastic, and simulation models. FDDI, DQDB, SMDS, Frame Relay, ATM, networks, and SONET. Applications demanding high-speed communication.
High Speed Communications Networks: Read More [+]

EL ENG 229A Information Theory and Coding 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2018, Fall 2017, Fall 2016
Fundamental bounds of Shannon theory and their application. Source and channel coding theorems. Galois field theory, algebraic error-correction codes. Private and public-key cryptographic systems.
Information Theory and Coding: Read More [+]

EL ENG 229B Error Control Coding 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Spring 2016, Fall 2013, Fall 2012
Error control codes are an integral part of most communication and recording systems where they are primarily used to provide resiliency to noise. In this course, we will cover the basics of error control coding for reliable digital transmission and storage. We will discuss the major classes of codes that are important in practice, including Reed Muller codes, cyclic codes, Reed Solomon codes, convolutional codes, concatenated codes, turbo codes, and low density parity check codes. The relevant background material from finite field and polynomial algebra will be developed as part of the course. Overview of topics: binary linear block codes; Reed Muller codes; Galois fields; linear block codes over a finite field; cyclic codes; BCH and Reed Solomon codes; convolutional codes and trellis based decoding, message passing decoding algorithms; trellis based soft decision decoding of block codes; turbo codes; low density parity check codes.
Error Control Coding: Read More [+]

EL ENG 230A Integrated-Circuit Devices 4 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2018, Spring 2018, Fall 2017
Overview of electronic properties of semiconductors. 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 [+]

EL ENG 230B Solid State Devices 4 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Spring 2018, Spring 2017, Spring 2016
Physical principles and operational characteristics of semiconductor devices. Emphasis is on MOS field-effect transistors and their behaviors dictated by present and probable future technologies. Metal-oxide-semiconductor systems, short-channel and high field effects, device modeling, and impact on analog, digital circuits.
Solid State Devices: Read More [+]

EL ENG 230C Solid State Electronics 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2018, Fall 2017, Fall 2016
Crystal structure and symmetries. Energy-band theory. Cyclotron resonance. Tensor effective mass. Statistics of electronic state population. Recombination theory. Carrier transport theory. Interface properties. Optical processes and properties.
Solid State Electronics: Read More [+]

EL ENG W230A Integrated-Circuit Devices 4 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Spring 2018, Spring 2017, Spring 2016
Overview of electronic properties of semiconductors. 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 [+]

EL ENG W230B Solid State Devices 4 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2015
Physical principles and operational characteristics of semiconductor devices. Emphasis is on MOS field-effect transistors and their behaviors dictated by present and probable future technologies. Metal-oxide-semiconductor systems, short-channel and high field effects, device modeling, and impact on analog, digital circuits.
Solid State Devices: Read More [+]

EL ENG 232 Lightwave Devices 4 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Spring 2018, Spring 2017, Spring 2016
This course is designed to give an introduction and overview of the fundamentals of optoelectronic devices. Topics such as optical gain and absorption spectra, quantization effects, strained quantum wells, optical waveguiding and coupling, and hetero p-n junction will be covered. This course will focus on basic physics and design principles of semiconductor diode lasers, light emitting diodes, photodetectors and integrated optics. Practical applications of the devices will be also discussed.
Lightwave Devices: Read More [+]

EL ENG C235 Nanoscale Fabrication 4 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Spring 2016, Spring 2015, Spring 2013
This course discusses various top-down and bottom-up approaches to synthesizing and processing nanostructured materials. The topics include fundamentals of self assembly, nano-imprint lithography, electron beam lithography, nanowire and nanotube synthesis, quantum dot synthesis (strain patterned and colloidal), postsynthesis modification (oxidation, doping, diffusion, surface interactions, and etching techniques). In addition, techniques to bridging length scales such as heterogeneous integration will be discussed. We will discuss new electronic, optical, thermal, mechanical, and chemical properties brought forth by the very small sizes.
Nanoscale Fabrication: Read More [+]

EL ENG 236A Quantum and Optical Electronics 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2017, Fall 2015, Fall 2013
Interaction of radiation with atomic and semiconductor systems, density matrix treatment, semiclassical laser theory (Lamb's), laser resonators, specific laser systems, laser dynamics, Q-switching and mode-locking, noise in lasers and optical amplifiers. Nonlinear optics, phase-conjugation, electrooptics, acoustooptics and magnetooptics, coherent optics, stimulated Raman and Brillouin scattering.
Quantum and Optical Electronics: Read More [+]

EL ENG C239 Partially Ionized Plasmas 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Spring 2010, Spring 2009, Spring 2007
Introduction to partially ionized, chemically reactive plasmas, including collisional processes, diffusion, sources, sheaths, boundaries, and diagnostics. DC, RF, and microwave discharges. Applications to plasma-assisted materials processing and to plasma wall interactions.
Partially Ionized Plasmas: Read More [+]

EL ENG 240A Analog Integrated Circuits 4 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2018, Spring 2018, Fall 2017
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.
Analog Integrated Circuits: Read More [+]

EL ENG 240B Advanced Analog Integrated Circuits 4 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Spring 2018, Spring 2017, Spring 2016
Analysis and optimized design of monolithic operational amplifiers and wide-band amplifiers; methods of achieving wide-band amplification, gain-bandwidth considerations; analysis of noise in integrated circuits and low noise design. Precision passive elements, analog switches, amplifiers and comparators, voltage reference in NMOS and CMOS circuits, Serial, successive-approximation, and parallel analog-to-digital converters. Switched-capacitor and CCD filters. Applications to codecs, modems.
Advanced Analog Integrated Circuits: Read More [+]

EL ENG 240C Analysis and Design of VLSI Analog-Digital Interface Integrated Circuits 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2017, Fall 2015, Fall 2014
Architectural and circuit level design and analysis of integrated analog-to-digital and digital-to-analog interfaces in CMOS and BiCMOS VLSI technology. Analog-digital converters, digital-analog converters, sample/hold amplifiers, continuous and switched-capacitor filters. RF integrated electronics including synthesizers, LNA's, and baseband processing. Low power mixed signal design. Data communications functions including clock recovery. CAD tools for analog design including simulation and synthesis.
Analysis and Design of VLSI Analog-Digital Interface Integrated Circuits: Read More [+]

EL ENG W240A Analog Integrated Circuits 4 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Spring 2018, Spring 2017, Spring 2016
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.
Analog Integrated Circuits: Read More [+]

EL ENG W240B Advanced Analog Integrated Circuits 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2015, Fall 2014
Analysis and optimized design of monolithic operational amplifiers and wide-band amplifiers; methods of achieving wide-band amplification, gain-bandwidth considerations; analysis of noise in integrated circuits and low noise design. Precision passive elements, analog switches, amplifiers and comparators, voltage reference in NMOS and CMOS circuits, Serial, successive-approximation, and parallel analog-to-digital converts. Switched-capacitor and CCD filters. Applications to codecs, modems.
Advanced Analog Integrated Circuits: Read More [+]

EL ENG W240C Analysis and Design of VLSI Analog-Digital Interface Integrated Circuits 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Spring 2017, Spring 2016
Architectural and circuit level design and analysis of integrated analog-to-digital and digital-to-analog interfaces in modern CMOS and BiCMOS VLSI technology. Analog-digital converters, digital-analog converters, sample/hold amplifiers, continuous and switched-capacitor filters. Low power mixed signal design techniques. Data communications systems including interface circuity. CAD tools for analog design for simulation and synthesis.
Analysis and Design of VLSI Analog-Digital Interface Integrated Circuits: Read More [+]

EL ENG 241B Advanced Digital Integrated Circuits 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Spring 2018, Spring 2017, Spring 2016
Analysis and design of MOS and bipolar large-scale integrated circuits at the circuit level. Fabrication processes, device characteristics, parasitic effects static and dynamic digital circuits for logic and memory functions. Calculation of speed and power consumption from layout and fabrication parameters. ROM, RAM, EEPROM circuit design. Use of SPICE and other computer aids.
Advanced Digital Integrated Circuits: Read More [+]

EL ENG W241A Introduction to Digital Integrated Circuits 4 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2015, Fall 2014, Spring 2014
CMOS devices and deep sub-micron manufacturing technology. CMOS inverters and complex gates. Modeling of interconnect wires. Optimization of designs with respect to a number of metrics: cost, reliability, performance, and power dissipation. Sequential circuits, timing considerations, and clocking approaches. Design of large system blocks, including arithmetic, interconnect, memories, and programmable logic arrays. Introduction to design methodologies, including laboratory experience.
Introduction to Digital Integrated Circuits: Read More [+]

EL ENG W241B Advanced Digital Integrated Circuits 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Spring 2017, Spring 2016, Spring 2015
Analysis and design of MOS and bipolar large-scale integrated circuits at the circuit level. Fabrication processes, device characteristics, parasitic effects static and dynamic digital circuits for logic and memory functions. Calculation of speed and power consumption from layout and fabrication parameters. ROM, RAM, EEPROM circuit design. Use of SPICE and other computer aids.
Advanced Digital Integrated Circuits: Read More [+]

EL ENG 242A Integrated Circuits for Communications 4 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2018, Fall 2017, Spring 2016
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 [+]

EL ENG 242B Advanced Integrated Circuits for Communications 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2014
Analysis, evaluation and design of present-day integrated circuits for communications application, particularly those for which nonlinear response must be included. MOS, bipolar and BICMOS circuits, audio and video power amplifiers, optimum performance of near-sinusoidal oscillators and frequency-translation circuits. Phase-locked loop ICs, analog multipliers and voltage-controlled oscillators; advanced components for telecommunication circuits. Use of new CAD tools and systems.
Advanced Integrated Circuits for Communications: Read More [+]

EL ENG W242A Integrated Circuits for Communications 4 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Spring 2018, Spring 2017, Spring 2016
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 [+]

EL ENG W242B Advanced Integrated Circuits for Communications 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Spring 2017, Spring 2016
Analysis, evaluation, and design of present-day integrated circuits for communications application, particularly those for which nonlinear response must be included. MOS, bipolar and BICMOS circuits, audio and video power amplifiers, optimum performance of near-sinusoidal oscillators and frequency-translation circuits. Phase-locked loop ICs, analog multipliers and voltage-controlled oscillators; advanced components for telecommunication circuits. Use of new CAD tools and systems.
Advanced Integrated Circuits for Communications: Read More [+]

EL ENG 243 Advanced IC Processing and Layout 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Spring 2014, Spring 2012, Spring 2011
The key processes for the fabrication of integrated circuits. Optical, X-ray, and e-beam lithography, ion implantation, oxidation and diffusion. Thin film deposition. Wet and dry etching and ion milling. Effect of phase and defect equilibria on process control.
Advanced IC Processing and Layout: Read More [+]

EL ENG 244 Fundamental Algorithms for Systems Modeling, Analysis, and Optimization 4 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2016, Fall 2015, Fall 2014
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.
Fundamental Algorithms for Systems Modeling, Analysis, and Optimization: Read More [+]

EL ENG W244 Fundamental Algorithms for System Modeling, Analysis, and Optimization 4 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2015
The modeling, analysis, and optimization of complex systems require a range of algorithms and design tools. This course reviews the fundamental techniques underlying the design methodology for complex systems, using integrated circuit design as an example. Topics include design flows, discrete and continuous models and algorithms, and strategies for implementing algorithms efficiently and correctly in software.
Fundamental Algorithms for System Modeling, Analysis, and Optimization: Read More [+]

EL ENG C246 Parametric and Optimal Design of MEMS 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Spring 2013, Spring 2012, Spring 2011
Parametric design and optimal design of MEMS. Emphasis on design, not fabrication. Analytic solution of MEMS design problems to determine the dimensions of MEMS structures for specified function. Trade-off of various performance requirements despite conflicting design requirements. Structures include flexure systems, accelerometers, and rate sensors.
Parametric and Optimal Design of MEMS: Read More [+]

EL ENG 247A Introduction to Microelectromechanical Systems (MEMS) 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2018, Fall 2017, Fall 2016
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 [+]

EL ENG C247B Introduction to MEMS Design 4 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Spring 2018, Spring 2017, Spring 2016
Physics, fabrication, and design of micro-electromechanical systems (MEMS). Micro and nanofabrication processes, including silicon surface and bulk micromachining and non-silicon micromachining. Integration strategies and assembly processes. Microsensor and microactuator devices: electrostatic, piezoresistive, piezoelectric, thermal, magnetic transduction. Electronic position-sensing circuits and electrical and mechanical noise. CAD for MEMS. Design project is required.
Introduction to MEMS Design: Read More [+]

EL ENG W247B Introduction to MEMS Design 4 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Prior to 2007
Physics, fabrication and design of micro electromechanical systems (MEMS). Micro and nano-fabrication processes, including silicon surface and bulk micromachining and non-silicon micromachining. Integration strategies and assembly processes. Microsensor and microactuator devices: electrostatic, piezoresistive, piezoelectric, thermal, and magnetic transduction. Electronic position-sensing circuits and electrical and mechanical noise. CAD for MEMS. Design project is required.
Introduction to MEMS Design: Read More [+]

EL ENG 248C Numerical Modeling and Analysis: Nonlinear Systems and Noise 4 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Prior to 2007
Numerical modelling and analysis techniques are widely used in scientific and
engineering practice; they are also an excellent vehicle for understanding and
concretizing theory.

This course covers topics important for a proper understanding of nonlinearity
and noise: periodic steady state and envelope ("RF") analyses; oscillatory
systems; nonstationary and phase noise; and homotopy/continuation techniques
for solving "difficult" equation systems. An underlying theme of the course is
relevance to different physical domains, from electronics (e.g.,
analog/RF/mixed-signal circuits, high-speed digital circuits, interconnect,
etc.) to optics, nanotechnology, chemistry, biology and mechanics. Hands-on
coding using the MATLAB-based Berkeley Model
Numerical Modeling and Analysis: Nonlinear Systems and Noise: Read More [+]

EL ENG C249A Introduction to Embedded Systems 4 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2018, Fall 2017, Fall 2016
This course introduces students to the basics of models, analysis tools, and control for embedded systems operating in real time. Students learn how to combine physical processes with computation. Topics include models of computation, control, analysis and verification, interfacing with the physical world, mapping to platforms, and distributed embedded systems. The course has a strong laboratory component, with emphasis on a semester-long sequence of projects.
Introduction to Embedded Systems: Read More [+]

EL ENG C249B Embedded System Design: Modeling, Analysis, and Synthesis 4 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Spring 2016, Spring 2015, Fall 2013
Principles of embedded system design. Focus on design methodologies and foundations. Platform-based design and communication-based design and their relationship with design time, re-use, and performance. Models of computation and their use in design capture, manipulation, verification, and synthesis. Mapping into architecture and systems platforms. Performance estimation. Scheduling and real-time requirements. Synchronous languages and time-triggered protocols to simplify the design process.
Embedded System Design: Modeling, Analysis, and Synthesis: Read More [+]

EL ENG C261 Medical Imaging Signals and Systems 4 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2018, Fall 2017, Fall 2016
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 [+]

EL ENG 290A Advanced Topics in Electrical Engineering: Advanced Topics in Computer-Aided Design 1 - 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Spring 2016, Spring 2015, Fall 2014
The 290 courses cover current topics of research interest in electrical engineering. The course content may vary from semester to semester.
Advanced Topics in Electrical Engineering: Advanced Topics in Computer-Aided Design: Read More [+]

EL ENG 290B Advanced Topics in Electrical Engineering: Advanced Topics in Solid State Devices 1 - 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2018, Fall 2017, Fall 2016
The 290 courses cover current topics of research interest in electrical engineering. The course content may vary from semester to semester.
Advanced Topics in Electrical Engineering: Advanced Topics in Solid State Devices: Read More [+]

EL ENG 290C Advanced Topics in Electrical Engineering: Advanced Topics in Circuit Design 1 - 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2018, Spring 2018, Spring 2017
The 290 courses cover current topics of research interest in electrical engineering. The course content may vary from semester to semester.
Advanced Topics in Electrical Engineering: Advanced Topics in Circuit Design: Read More [+]

EL ENG 290D Advanced Topics in Electrical Engineering: Advanced Topics in Semiconductor Technology 1 - 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2014, Fall 2013, Fall 2004
The 290 courses cover current topics of research interest in electrical engineering. The course content may vary from semester to semester.
Advanced Topics in Electrical Engineering: Advanced Topics in Semiconductor Technology: Read More [+]

EL ENG 290F Advanced Topics in Electrical Engineering: Advanced Topics in Photonics 1 - 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Spring 2014, Fall 2013, Fall 2012
The 290 courses cover current topics of research interest in electrical engineering. The course content may vary from semester to semester.
Advanced Topics in Electrical Engineering: Advanced Topics in Photonics: Read More [+]

EL ENG 290G Advanced Topics in Electrical Engineering: Advanced Topics in Mems, Microsensors, and Microactuators 1 - 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2017, Fall 2016, Spring 2002
The 290 courses cover current topics of research interest in electrical engineering. The course content may vary from semester to semester.
Advanced Topics in Electrical Engineering: Advanced Topics in Mems, Microsensors, and Microactuators: Read More [+]

EL ENG 290N Advanced Topics in Electrical Engineering: Advanced Topics in System Theory 1 - 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2018, Fall 2017, Fall 2015
The 290 courses cover current topics of research interest in electrical engineering. The course content may vary from semester to semester.
Advanced Topics in Electrical Engineering: Advanced Topics in System Theory: Read More [+]

EL ENG 290O Advanced Topics in Electrical Engineering: Advanced Topics in Control 1 - 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2017, Fall 2015, Spring 2014
The 290 courses cover current topics of research interest in electrical engineering. The course content may vary from semester to semester.
Advanced Topics in Electrical Engineering: Advanced Topics in Control: Read More [+]

EL ENG 290P Advanced Topics in Electrical Engineering: Advanced Topics in Bioelectronics 1 - 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Spring 2018, Fall 2017, Fall 2016
The 290 courses cover current topics of research interest in electrical engineering. The course content may vary from semester to semester.
Advanced Topics in Electrical Engineering: Advanced Topics in Bioelectronics: Read More [+]

EL ENG 290Q Advanced Topics in Electrical Engineering: Advanced Topics in Communication Networks 1 - 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Spring 2017, Spring 2016, Fall 2014
The 290 courses cover current topics of research interest in electrical engineering. The course content may vary from semester to semester.
Advanced Topics in Electrical Engineering: Advanced Topics in Communication Networks: Read More [+]

EL ENG 290S Advanced Topics in Electrical Engineering: Advanced Topics in Communications and Information Theory 1 - 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2018, Fall 2016, Fall 2009
The 290 courses cover current topics of research interest in electrical engineering. The course content may vary from semester to semester.
Advanced Topics in Electrical Engineering: Advanced Topics in Communications and Information Theory: Read More [+]

EL ENG 290T Advanced Topics in Electrical Engineering: Advanced Topics in Signal Processing 1 - 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2018, Fall 2017, Fall 2016
The 290 courses cover current topics of research interest in electrical engineering. The course content may vary from semester to semester.
Advanced Topics in Electrical Engineering: Advanced Topics in Signal Processing: Read More [+]

EL ENG 290Y Advanced Topics in Electrical Engineering: Organic Materials in Electronics 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Spring 2014, Spring 2013, Fall 2009
Organic materials are seeing increasing application in electronics applications. This course will provide an overview of the properties of the major classes of organic materials with relevance to electronics. Students will study the technology, physics, and chemistry of their use in the three most rapidly growing major applications--energy conversion/generation devices (fuel cells and photovoltaics), organic light-emitting diodes, and organic transistors.
Advanced Topics in Electrical Engineering: Organic Materials in Electronics: Read More [+]

EL ENG W290C Advanced Topics in Circuit Design 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Prior to 2007
Seminar-style course presenting an in-depth perspective on one specific domain of integrated circuit design. Most often, this will address an application space that has become particularly relevant in recent times. Examples are serial links, ultra low-power design, wireless transceiver design, etc.
Advanced Topics in Circuit Design: Read More [+]

EL ENG C291 Control and Optimization of Distributed Parameters Systems 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2018, Fall 2017, Spring 2016, Spring 2015
Distributed systems and PDE models of physical phenomena (propagation of waves, network traffic, water distribution, fluid mechanics, electromagnetism, blood vessels, beams, road pavement, structures, etc.). Fundamental solution methods for PDEs: separation of variables, self-similar solutions, characteristics, numerical methods, spectral methods. Stability analysis. Adjoint-based optimization. Lyapunov stabilization. Differential flatness. Viability control. Hamilton-Jacobi-based control.
Control and Optimization of Distributed Parameters Systems: Read More [+]

EL ENG C291E Hybrid Systems and Intelligent Control 3 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Spring 2018, Spring 2016, Spring 2014
Analysis of hybrid systems formed by the interaction of continuous time dynamics and discrete-event controllers. Discrete-event systems models and language descriptions. Finite-state machines and automata. Model verification and control of hybrid systems. Signal-to-symbol conversion and logic controllers. Adaptive, neural, and fuzzy-control systems. Applications to robotics and Intelligent Vehicle and Highway Systems (IVHS).
Hybrid Systems and Intelligent Control: Read More [+]

EL ENG 297 Field Studies in Electrical Engineering 12 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Summer 2018 8 Week Session, Fall 2011, Fall 2010
Supervised experience in off-campus companies relevant to specific aspects and applications of electrical engineering. Written report required at the end of the semester.
Field Studies in Electrical Engineering: Read More [+]

EL ENG 298 Group Studies, Seminars, or Group Research 1 - 4 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2018, Spring 2018, Fall 2017
Advanced study in various subjects through special seminars on topics to be selected each year, informal group studies of special problems, group participation in comprehensive design problems, or group research on complete problems for analysis and experimentation.
Group Studies, Seminars, or Group Research: Read More [+]

EL ENG 299 Individual Research 1 - 12 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2018, Summer 2016 10 Week Session, Summer 2016 8 Week Session
Investigation of problems in electrical engineering.
Individual Research: Read More [+]

EL ENG 375 Teaching Techniques for Electrical Engineering 2 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2018, Spring 2018, Fall 2017
Discussion of effective teaching techniques. Use of educational objectives, alternative forms of instruction, and proven techniques to enhance student learning. This course is intended to orient new student instructors to more effectively teach courses offered by the Department of Electrical Engineering and Computer Sciences at UC Berkeley.
Teaching Techniques for Electrical Engineering: Read More [+]

EL ENG 602 Individual Study for Doctoral Students 1 - 8 Units

Offered through: Electrical Engin and Computer Sci
Terms offered: Fall 2016, Fall 2015, Fall 2014
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. (and other doctoral degrees).
Individual Study for Doctoral Students: Read More [+]

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).

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.

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).

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

Phillip Colella, Professor in Residence.

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.

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).

Prabal Dutta, Associate Professor.

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).

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).

Tom Griffiths, Associate Professor. Machine learning, computational models of human cognition, Bayesian statistics, cultural evolution.
Research Profile

Moritz Hardt, Assistant Profesor.

Bjoern Hartmann, Associate Professor. Human-Computer Interaction (HCI); Graphics (GR); Programming Systems (PS).

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.

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.

Chunlei Liu, Associate Professor.

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).

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

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

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

Lior Pachter, Professor. Mathematics, applications of statistics, combinatorics to problems in biology.
Research Profile

Christos H. Papadimitriou, Professor. Economics, evolution., algorithms, game theory, networks, optimization, complexity.
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.

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).

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.

Prasad Raghavendra, Associate Professor. Theory (THY).

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).

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

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

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).

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).

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

Doug Tygar, Professor. Privacy, technology policy, computer security, electronic commerce, software engineering, reliable systems, embedded systems, computer networks, cryptography, cryptology, authentication, ad hoc networks.
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. Si photonics, optoelectronics, nanophotonics, optical MEMS, Optofluidics; Micro/Nano Electro Mechanical Systems (MEMS); Physical Electronics (PHY).

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

Contact Information

Department of Electrical Engineering and Computer Sciences

387 Soda Hall

Phone: 510-642-1042

Fax: 510-642-5775

Visit Department Website

Department Chair

James Demmel, PhD

389 Soda Hall

Phone: 510-642-7699

demmel@cs.berkeley.edu

Vice Chair, Masters’ Degree Programs (MEng and MS)

Vladimir Stojanovic, PhD

513 Cory Hall

Phone: (510) 664-4322

vlada@berkeley.edu

Vice Chair of Graduate Study and Prelims

Ron Fearing, PhD

725 Sutardja Dai Hall

Phone: 510-642-9193

ronf@eecs.berkeley.edu

Vice Chair of Graduate Study and Prelims

Vern Paxson

737 Soda Hall

Phone: 510-643-4209

vern@cs.berkeley.edu

Executive Director of EECS Center for Student Affairs

Susanne Kauer

221 Cory Hall

skauer@eecs.berkeley.edu

CS Graduate Admissions and GSI Recruitment

Diana Smith

205 Cory Hall

Phone: 510-642-6285

diana.smith@eecs.berkeley.edu

Graduate Admissions and EE GSI Recruitment

Pat Hernan

205 Cory Hall

Phone: 510-642-9265

Hernan@eecs.berkeley.edu

Director of Grad Matters, EE Grad Adviser

Shirley Salanio

217 Cory Hall

Phone: 510-643-8347

shirley@eecs.berkeley.edu

Graduate Student Services Adviser

Audrey Sillers

367 Soda Hall

Phone: 510-642-9413

araya@eecs.berkeley.edu

Graduate Student Services Adviser

Michael Sun

205 Cory Hall

Phone: 510-643-8347

msun86@eecs.berkeley.edu

Graduate Student Services Adviser

Heather Levien

253B Cory Hall

Phone: 510-642-9413

heather@eecs.berkeley.edu

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