Industrial Engineering and Operations Research

University of California, Berkeley

This is an archived copy of the 2016-17 guide. To access the most recent version of the guide, please visit http://guide.berkeley.edu.

About the Program

Bachelor of Science (BS)

The Bachelor of Science (BS) degree in Industrial Engineering and Operations Research (IEOR) is designed to prepare students for technical careers in production or service industries. It provides a strong foundation for those headed for engineering management positions or for those intending to go on to specialized graduate study in operations research, industrial engineering, or business administration.

Students interested in Industrial Engineering and Operations Research may also be interested in the Operations Research and Management Science major in the College of Letters & Science. For further information on this program, please see the Operations Research and Management Science page in this Guide.

Course of Study Overview

The core of the program includes basic science, mathematics including probability and statistics, engineering optimization, and stochastic models. This forms the methodological foundation for upper division IEOR electives involving the analysis and design of production and service systems, information systems, and human work systems and organization, among others.

Accreditation

This program is accredited by the Engineering Accreditation Commission of ABET .

Admission to the Major

Prospective undergraduates to the College of Engineering will apply for admission to a specific program in the College. For further information, please see the College of Engineering's website .

Admission to Engineering via a Change of College application for current UC Berkeley students is highly unlikely and very competitive as there are few, if any, spaces that open in the College each year to students admitted to other colleges at UC Berkeley. For further information regarding a change of college to Engineering, please see the College's website .

Minor Program

The department offers a minor in IEOR. Students must have a minimum overall grade point average (GPA) of 3.0 and a minimum GPA of 3.0 in the minor's prerequisite courses in order to be considered for departmental acceptance into the minor.

For the minor to be added to the transcript, students must file the Confirmation of Completion of Minor form with the Office of Undergraduate Advising in 4145 Etcheverry Hall during the last semester in which they complete their last class for the minor.

Visit Department Website

Major Requirements

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

General Guidelines

  1. All technical courses (courses in engineering, mathematics, chemistry, physics, statistics, biological sciences, and computer science) must be taken for a letter grade.

  2. No more than one upper division course may be used to simultaneously fulfill requirements for a student’s major and minor programs.

  3. A minimum overall grade point average (GPA) of 2.0 is required for all work undertaken at UC Berkeley.

  4. A minimum GPA of 2.0 is required for all technical courses taken in satisfaction of major requirements.

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

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

Lower Division Requirements

MATH 1ACalculus4
MATH 1BCalculus4
MATH 53Multivariable Calculus4
MATH 54Linear Algebra and Differential Equations4
CHEM 1A
& 1AL		General Chemistry
and General Chemistry Laboratory 1		4
or CHEM 4A General Chemistry and Quantitative Analysis
PHYSICS 7APhysics for Scientists and Engineers4
PHYSICS 7BPhysics for Scientists and Engineers4
ENGIN 7Introduction to Computer Programming for Scientists and Engineers4
Programming: Select one of the following:2-4
C for Programmers
C++ for Programmers
JAVA for Programmers 2
The Structure and Interpretation of Computer Programs
Engineering Breadth Electives: Select at least 9 units from the following:9
Introduction to Biomedicine for Engineers
Biomechanics: Analysis and Design
Engineered Systems and Sustainability
Introduction to Solid Mechanics
Structure and Properties of Civil Engineering Materials
Engineering Geology
Transportation Systems Engineering
Design Methodology 3
Designing Information Devices and Systems I
Designing Information Devices and Systems II
Design Methodology 3
Visualization for Design
Three-Dimensional Modeling for Design
Introduction to Manufacturing and Tolerancing
Properties of Materials
Properties of Materials Laboratory
Engineering Thermodynamics
Properties of Electronic Materials
Thermodynamics
Dynamic Systems and Feedback
1

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

2

COMPSCI 9C is a prerequisite for COMPSCI 9G.  

3

Students will not receive credit for both DES INV 15 and ENGIN 15.

Upper Division Requirements

ENGIN 120Principles of Engineering Economics 13
or IND ENG 120 Principles of Engineering Economics
IND ENG 131Discrete Event Simulation3
IND ENG 160Nonlinear and Discrete Optimization3
IND ENG 162Linear Programming and Network Flows3
IND ENG 165Engineering Statistics, Quality Control, and Forcasting3
IND ENG 172Probability and Risk Analysis for Engineers 23
or STAT 134 Concepts of Probability
IND ENG 173Introduction to Stochastic Processes 33
IND ENG 180Senior Project4
IND ENG Electives: Select 6 courses from the following:18
Industrial and Commercial Data Systems
Methods of Manufacturing Improvement
Production Systems Analysis
Service Operations Design and Analysis
Logistics Network Design and Supply Chain Management
Decision Analytics
Industrial Design and Human Factors
Technology Firm Leadership
1

Students will not receive credit for both IND ENG 120 and ENGIN 120.

2

IND ENG 172 is an alternative course for STAT 134. In semesters when both are offered, we recommend students take IND ENG 172. Students will not receive credit for both STAT 134 and IND ENG 172.

3

IND ENG 173 replaced IND ENG 161. Students will receive no credit for IND ENG 173 after taking IND ENG 161.

Minor Requirements

Minor programs are areas of concentration requiring fewer courses than an undergraduate major. These programs are optional but can provide depth and breadth to a UC Berkeley education. The College of Engineering does not offer additional time to complete a minor, but it is usually possible to finish within the allotted time with careful course planning. Students are encouraged to meet with their ESS adviser to discuss the feasibility of completing a minor program.

All the engineering departments offer minors. Students may also consider pursuing a minor in another school or college.

General Guidelines

  1. All courses taken to fulfill the minor requirements must be taken for graded credit.

  2. A minimum overall grade point average (GPA) of 3.0 and a minimum GPA of 3.0 in the prerequisite courses is required for acceptance into the minor program.

  3. A minimum grade point average (GPA) of 2.0 is required for courses used to fulfill the minor requirements.

  4. No more than one upper division course may be used to simultaneously fulfill requirements for a student’s major and minor programs.

  5. Completion of the minor program cannot delay a student’s graduation.

Requirements

Prerequisites
IND ENG 165Engineering Statistics, Quality Control, and Forcasting3
or STAT 135 Concepts of Statistics
IND ENG 172Probability and Risk Analysis for Engineers3
or STAT 134 Concepts of Probability
IND ENG 160Nonlinear and Discrete Optimization3
or IND ENG 162 Linear Programming and Network Flows
Upper Division Requirements
IND ENG 160Nonlinear and Discrete Optimization3
or IND ENG 162 Linear Programming and Network Flows
IND ENG 131Discrete Event Simulation3
or IND ENG 173 Introduction to Stochastic Processes
or IND ENG 166 Decision Analytics
Select two from the following:
Industrial and Commercial Data Systems
Methods of Manufacturing Improvement
Production Systems Analysis
Service Operations Design and Analysis
Logistics Network Design and Supply Chain Management
Industrial Design and Human Factors
Technology Firm Leadership

College Requirements

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

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

Humanities and Social Science (H/SS) Requirement

To promote a rich and varied educational experience outside of the technical requirements for each major, the College of Engineering has a six-course Humanities and Social Sciences breadth requirement , which must be completed to graduate. This requirement, built into all the engineering programs of study, includes two reading and composition courses (R&C), and four additional courses within which a number of specific conditions must be satisfied. Follow these guidelines to fulfill this requirement:

  1. Complete a minimum of six courses from the  approved Humanities/Social Sciences (H/SS) lists . 
  2. Courses must be a minimum of 3 semester units (or 4 quarter units).
  3. Two of the six courses must fulfill the college's Reading and Composition (R&C) requirement. These courses must be taken for a letter grade (C- or better required) and must be completed by no later than the end of the sophomore year (fourth semester of enrollment). The first half of R&C, the “A” course, must be completed by the end of the freshman year; the second half of R&C, the “B" course, must be completed by no later than the end of the sophomore year. View a detailed lists of courses that fulfill Reading and Composition requirements, or use the College of Letters and Sciences search engine to view R&C courses offered in a given semester. 
  4. The four additional courses must be chosen within College of Engineering guidelines from the H/SS lists (see below). These courses may be taken on a Pass/Not Passed basis (P/NP).
  5. Two of the six courses must be upper division (courses numbered 100-196).
  6. One of the six courses must satisfy the campus American Cultures requirement. For detailed lists of courses that fulfill American Cultures requirements, visit the American Cultures  site. 
  7. A maximum of two exams (Advanced Placement, International Baccalaureate, or A-Level) may be used toward completion of the H/SS requirement. View the list of exams that can be applied toward H/SS requirements.
  8. Courses may fulfill multiple categories. For example, if you complete CY PLAN 118AC that would satisfy the American Cultures requirement and one upper division H/SS requirement.
  9. No courses offered by any engineering department other than BIO ENG 100, COMPSCI C79, ENGIN 125, ENGIN 157AC, MEC ENG 191K and MEC ENG 191AC may be used to complete H/SS requirements.
  10. Foreign language courses may be used to complete H/SS requirements. View the list of language options .
  11. Courses numbered 97, 98, 99, or above 196 may not be used to complete any H/SS requirement
  12. The College of Engineering uses modified versions of five of the College of Letters and Science (L&S) breadth requirements lists to provide options to our students for completing the H/SS requirement. No courses on the L&S Biological Sciences or Physical Sciences breadth lists may be used to complete H/SS requirements. Within the guidelines above, choose courses from any of the lists below.

Class Schedule Requirements

  • Minimum units per semester: 12.0.
  • Maximum units per semester:  20.5.
  • Minimum technical courses: College of Engineering undergraduates must enroll each semester in no fewer than two technical courses (of a minimum of 3 units each) required of the major program of study in which the student is officially declared.  (Note: for most majors, normal progress will require enrolling in 3-4 technical courses each semester).
  • All technical courses (math, science, engineering), required of the major or not, must be taken on a letter graded basis (unless only offered as P/NP).
  • A student's proposed schedule must be approved by a faculty adviser (or on approval from the dean or a designated staff adviser) each semester prior to enrolling in courses.

Minimum Academic (Grade) Requirements

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

Unit Requirements

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

  • Completion of the requirements of one engineering major program  of study. 
  • A maximum of 16 units of special studies coursework (courses numbered 97, 98, 99, 197, 198, or 199) is allowed towards the 120 units; a maximum of four is allowed in a given semester.
  • A maximum of 4 units of physical education from any school attended will count towards the 120 units.
  • Students may receive unit credit for courses graded P (including P/NP units taken through EAP) up to a limit of one-third of the total units taken and passed on the Berkeley campus at the time of graduation.

Normal Progress

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

Plan of Study

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

Freshman
FallUnitsSpringUnits
CHEM 4A or 1A and 1AL4MATH 1B4
MATH 1A4PHYSICS 7A4
Reading and Composition course from List A4ENGIN 74
Engineering Breadth course23Reading & Composition course from List B4
Optional Freshman Seminar or ENGIN 920-1 
 15-16 16
Sophomore
FallUnitsSpringUnits
MATH 534MATH 544
PHYSICS 7B4ENGIN 120 or IND ENG 1203
Engineering Breadth course23Programming course32-4
Humanities/Social Sciences course3-4Engineering Breadth course23
 Humanities/Social Sciences course3-4
 14-15 15-18
Junior
FallUnitsSpringUnits
IND ENG 1603IND ENG 1653
IND ENG 1623IND ENG 17353
IND ENG 172 or STAT 13443IND ENG Electives66
IND ENG Elective63Humanities/Social Sciences course3-4
Humanities/Social Sciences course3-4 
 15-16 15-16
Senior
FallUnitsSpringUnits
IND ENG Electives66IND ENG 1313
Free Electives9IND ENG 1804
 IND ENG Elective63
 Free Electives5
 15 15
Total Units: 120-127
1

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

2

Engineering Breadth: 9 units must be completed from the following list: BIO ENG 10, BIO ENG 102, CIV ENG 11, CIV ENG C30, CIV ENG 60, CIV ENG 70, CIV ENG 155, DES INV 15, EL ENG 16A, EL ENG 16B, ENGIN 15, ENGIN 25, ENGIN 26, ENGIN 27, ENGIN 45, ENGIN 45L, ENGIN 115, MAT SCI 111, MEC ENG 40, MEC ENG C85, MEC ENG 132. Students will not receive credit for both DES INV 15 and ENGIN 15.

3

A course in computer programming must be completed. Choose one course from: COMPSCI 9C, COMPSCI 9F, COMPSCI 9G, or COMPSCI 61A. COMPSCI 9C is a prerequisite for COMPSCI 9G.

4

IND ENG 172 is an alternative course for STAT 134. In semesters when both are offered, we recommend students take IND ENG 172. Students will not receive credit for both STAT 134 and IND ENG 172.

5

IND ENG 173 replaced IND ENG 161. Students will receive no credit for IND ENG 173 after taking IND ENG 161. 

6

Students must take a minimum of six courses from the following: IND ENG 115, IND ENG 130, IND ENG 150, IND ENG 151, IND ENG 153, IND ENG 166, IND ENG 170, IND ENG 171.

Student Learning Goals

Learning Goals for the Major

The IEOR Department has five general objectives for its Bachelor of Science (BS) degree program. It aims for BS degree graduates to become highly skilled in:

  1. Quantitative modeling and analysis of a broad array of systems-level decision problems concerned with economic efficiency, productivity, and quality.
  2. Development and creative use of analytical and computational methods for solving these problems.
  3. Collection of and analysis of data, and the use of database and decision-support tools.
  4. Comprehension and analysis of uncertainty.
  5. In addition, the department expects their graduates to obtain the broader skills, background, and knowledge necessary to be an effective professional in a rapidly changing global economy.

All Berkeley engineering graduates acquire the following skills and knowledge:

  1. Ability to apply knowledge of mathematics, science, and engineering.
  2. Ability to design and conduct experiments, analyze, and interpret data.
  3. Ability to design a system, component, or process to meet desired needs.
  4. Ability to function on multi-disciplinary teams.
  5. Ability to identify, formulate, and solve engineering problems.
  6. Understanding of professional and ethical responsibility.
  7. Ability to communicate effectively.
  8. Understand impact of engineering solutions in a global and societal context.
  9. Recognition of need for and ability to engage in life-long learning.
  10. Knowledge of contemporary issues.
  11. Ability to use techniques, skills, and modern engineering tools for engineering practice.

More specific outcomes of the IEOR BS degree program are as follows:

  1. Identify, analyze, and evaluate alternative or candidate solutions for decision problems.
  2. Identify appropriate models and methods for solving decision problems.
  3. Formulate mathematical optimization models for real-life decision problems.
  4. Understand methods for solving deterministic optimization problems and utilize optimization software for solving such problems.
  5. Formulate analytical models and develop computer simulations to predict and optimize systems under uncertainty.
  6. Develop models and utilize analytical tools and software to evaluate decisions under uncertainty.
  7. Understand performance measurement.
  8. Understand important concepts in manufacturing and service operations.
  9. Design and apply analytical models for manufacturing and service operations.
  10. Critique and reorganize business and industrial process flows and information flows.
  11. Structure data to support decisions related to the aforementioned topics.
  12. Understand organizational design and management issues.

Advising

Advising Values

Student Success: Above all, the department is dedicated to maximizing student potential and to helping students succeed in their University experiences. The department encourages students to explore their minds and their hearts, challenges them to do their best work, and helps them realize their talents and passions and achieve their goals.

Equity & Inclusion: The department is committed to creating an inclusive environment in which any individual or group can be and feel welcomed, respected, supported and valued. It aspires to provide fair treatment, access, opportunity, and advancement for all students and to identify and eliminate barriers that prevent the full participation of all.

Health & Well-Being: The department collaborates with campus partners to keep the IEOR community healthy by helping students balance the physical, intellectual, emotional, social, occupational, spiritual, and environmental aspects of life.

Advising Excellence: In all that it does, the department strives to deliver personalized advising services of the highest quality. It seeks to continuously educate itself on developments in the field and to evaluate, improve, and streamline its services to support students in obtaining the best education and experience possible.

Advising Staff and Advising Hours

Academic Advising
College of Engineering Undergraduate Adviser
Jane Paris
jparis@berkeley.edu
230 Bechtel Engineering Center
510-642-7594

Department Student Services 
Anayancy Paz
anayancy@berkeley.edu
4145 Etcheverry Hall
510-642-5485

IEOR Department Student Services Office hours: fall, spring, and summer: Monday through Wednesday and Friday: 9 to noon and 1 to 4 p.m.; and Thursdays 1 to 4 p.m.

Academic Opportunities

Student Groups and Organizations

The Industrial Engineering and Operations Research (IEOR) Department is very proud that its students not only excel in academics but also in social organization. The department hosts three professional student organizations that engage in activities such as advising, recruiting and graduate schools information, alumni relations, academic conference organization, and social events. For information regarding student groups, please see the following websites:

IEOR Alumni
Alpha Pi Mu (Industrial Engineering Honor Society)
IIE Student Chapter  (Institute of Industrial Engineers)
INFORMS Student Chapter (Institute for Operations Research and Management Science)

Study Abroad

The College of Engineering encourages all undergraduates in the college to study abroad. Whether students are interested in fulfilling general education requirements, taking courses related to their major/career, or simply living and studying in a country that is of interest to them, the department will work with students to make it happen. For information about study abroad programs, please see the Berkeley Study Abroad website .

Career Services

The Career Center offers personalized career counseling and a wide variety of professional development workshops on topics such as networking as a job search strategy, getting results from the internet job search, internship search and success strategies, and applying for graduate school. For further information, please see the Career Services website .

Courses

Industrial Engineering and Operations Research

IND ENG 24 Freshman Seminars 1 Unit

Offered through: Industrial Engin and Oper Research
Terms offered: Fall 2017, Fall 2016, Fall 2015
The Berkeley Seminar Program has been designed to provide new students with the opportunity to explore an intellectual topic with a faculty member in a small-seminar setting. Berkeley Seminars are offered in all campus departments, and topics vary from department to department and semester to semester.
Freshman Seminars: Read More [+]

IND ENG 66 A Bivariate Introduction to IE and OR 3 Units

Offered through: Industrial Engin and Oper Research
Terms offered: Fall 2016
This Freshman-level Introductory course will provide an intuitive overview of the fundamental problems addressed and methods in the fields of Industrial Engineering and Operations Research including Constrained Optimization, Human Factors, Data Analytics, Queues and Chains, and Linear Programming. The course will focus on two-dimensional, i.e., bivariate, examples where the problems and methods are amenable to visualization and geometric intuition. The course will discuss applications such as dieting, scheduling, and transportation. This course will not require pre-requisites and will present the core concepts in a self-contained manner that is accessible to Freshmen to provide the foundation for future coursework.
A Bivariate Introduction to IE and OR: Read More [+]

IND ENG 95 A. Richard Newton Lecture Series 1 Unit

Offered through: Industrial Engin and Oper Research
Terms offered: Spring 2018, Fall 2017, Spring 2017
This lecture series serves as an entry point for undergraduate and graduate curriculum sequences in entrepreneurship and innovation. The series, established in 2005, is named in honor of A. Richard Newton, a visionary technology industry leader and late dean of the University of California Berkeley College of Engineering. The course features a selection of high-level industry speakers who share their insights on industry developments, leadership, and innovation based on their careers.
A. Richard Newton Lecture Series: Read More [+]

IND ENG 98 Supervised Group Study and Research 1 - 3 Units

Offered through: Industrial Engin and Oper Research
Terms offered: Fall 2015, Spring 2015
Supervised group study and research by lower division students.
Supervised Group Study and Research: Read More [+]

IND ENG 99 Supervised Independent Study and Research 1 - 4 Units

Offered through: Industrial Engin and Oper Research
Terms offered: Prior to 2007
Supervised independent study for lower division students.
Supervised Independent Study and Research: Read More [+]

IND ENG 115 Industrial and Commercial Data Systems 3 Units

Offered through: Industrial Engin and Oper Research
Terms offered: Fall 2017, Fall 2016, Fall 2015
Design and implementation of databases, with an emphasis on industrial and commercial applications. Relational algebra, SQL, normalization. Students work in teams with local companies on a database design project. WWW design and queries.
Industrial and Commercial Data Systems: Read More [+]

IND ENG 120 Principles of Engineering Economics 3 Units

Offered through: Industrial Engin and Oper Research
Terms offered: Prior to 2007
Economic analysis for engineering decision making: Capital flows, effect of time and interest rate. Different methods of evaluation of alternatives. Minimum-cost life and replacement analysis. Depreciation and taxes. Uncertainty; preference under risk; decision analysis. Capital sources and their effects. Economic studies. Formerly Engineering 120.
Principles of Engineering Economics: Read More [+]

IND ENG 130 Methods of Manufacturing Improvement 3 Units

Offered through: Industrial Engin and Oper Research
Terms offered: Fall 2017, Fall 2016, Fall 2015
Analytical techniques for the improvement of manufacturing performance along the dimensions of productivity, quality, customer service, and throughput. Techniques for yield analysis, process control, inspection sampling, equipment efficiency analysis, cycle time reduction, and on-time delivery improvement. Applications on semiconductor manufacturing or other industrial settings.
Methods of Manufacturing Improvement: Read More [+]

IND ENG 131 Discrete Event Simulation 3 Units

Offered through: Industrial Engin and Oper Research
Terms offered: Fall 2017, Spring 2017, Spring 2016
Introductory course on design, programming, and statistical analysis of a simulation study. Topics include the types of problems that can be solved by such methods. Programming material includes the theory behind random variable generation for a variety of common variables. Techniques to reduce the variance of the resultant estimator and statistical analysis are considered. Final project required.
Discrete Event Simulation: Read More [+]

IND ENG 135 Applied Data Science with Venture Applications 3 Units

Offered through: Industrial Engin and Oper Research
Terms offered: Spring 2018, Fall 2017
This highly-applied course surveys a variety of key of concepts and tools that are useful for designing and building applications that process data signals of information. The course introduces modern open source, computer programming tools, libraries, and code samples that can be used to implement data applications. The mathematical concepts highlighted in this course include filtering, prediction, classification, decision-making, Markov chains, LTI systems, spectral analysis, and frameworks for learning from data. Each math concept is linked to implementation using Python using libraries for math array functions (NumPy), manipulation of tables (Pandas), long term storage (SQL, JSON, CSV files), natural language (NLTK), and ML frameworks.
Applied Data Science with Venture Applications: Read More [+]

IND ENG 142 Introduction to Machine Learning and Data Analytics 3 Units

Offered through: Industrial Engin and Oper Research
Terms offered: Fall 2017
This course introduces students to key techniques in machine learning and data analytics through a diverse set of examples using real datasets from domains such as e-commerce, healthcare, social media, sports, the Internet, and more. Through these examples, exercises in R, and a comprehensive team project, students will gain experience understanding and applying techniques such as linear regression, logistic regression, classification and regression trees, random forests, boosting, text mining, data cleaning and manipulation, data visualization, network analysis, time series modeling, clustering, principal component analysis, regularization, and large-scale learning.
Introduction to Machine Learning and Data Analytics: Read More [+]

IND ENG 150 Production Systems Analysis 3 Units

Offered through: Industrial Engin and Oper Research
Terms offered: Spring 2018, Fall 2016, Fall 2015
Quantitative models for operational and tactical decision making in production systems, including production planning, inventory control, forecasting, and scheduling.
Production Systems Analysis: Read More [+]

IND ENG 151 Service Operations Design and Analysis 3 Units

Offered through: Industrial Engin and Oper Research
Terms offered: Fall 2017, Fall 2016, Fall 2015
This course is concerned with improving processes and designing facilities for service businesses such as banks, health care organizations, telephone call centers, restaurants, and transportation providers. Major topics in the course include design of service processes, layout and location of service facilities, demand forecasting, demand management, employee scheduling, service quality management, and capacity planning.
Service Operations Design and Analysis: Read More [+]

IND ENG 153 Logistics Network Design and Supply Chain Management 3 Units

Offered through: Industrial Engin and Oper Research
Terms offered: Spring 2018, Spring 2017, Spring 2016
We will focus primarily on both quantitative and qualitative issues which arise in the integrated design and management of the entire logistics network. Models and solution techniques for facility location and logistics network design will be considered. In addition, qualitative issues in distribution network structuring, centralized versus decentralized network control, variability in the supply chain, strategic partnerships, and product design for logistics will be considered through discussions and cases.
Logistics Network Design and Supply Chain Management: Read More [+]

IND ENG 160 Nonlinear and Discrete Optimization 3 Units

Offered through: Industrial Engin and Oper Research
Terms offered: Fall 2017, Spring 2017, Fall 2016
This course introduces unconstrained and constrained optimization with continuous and discrete domains. Convex sets and convex functions; local optimality; KKT conditions; Lagrangian duality; steepest descent and Newton's method. Modeling with integer variables; branch-and-bound method; cutting planes. Models on production/inventory planning, logistics, portfolio optimization, factor modeling, classification with support vector machines.
Nonlinear and Discrete Optimization: Read More [+]

IND ENG 162 Linear Programming and Network Flows 3 Units

Offered through: Industrial Engin and Oper Research
Terms offered: Spring 2018, Fall 2017, Spring 2017
This course addresses modeling and algorithms for optimization of linear constrained optimization problems. The simplex method; theorems of duality; complementary slackness. Applications in production planning and resource allocation. Graph and network problems as linear programs with integer solutions. Algorithms for selected network flow problems. Transportation and logistics problems. Dynamic programming and its role in applications to shortest paths, project management and equipment replacement.
Linear Programming and Network Flows: Read More [+]

IND ENG S162 Linear Programming 3 Units

Offered through: Industrial Engin and Oper Research
Terms offered: Prior to 2007
Formulation to linear programs. Optimal allocation and control problems in industry, environmental studies. Convex sets; properties of optimal solutions. The simplex method; theorems of duality; complementary slackness. Problems of post-optimization. Special structures; network problems. Digital computation.
Linear Programming: Read More [+]

IND ENG 164 Introduction to Optimization Modeling 3 Units

Offered through: Industrial Engin and Oper Research
Terms offered: Not yet offered
Designed for students from any science/engineering major, this upper-division course will introduce students to optimization models, and train them to use software tools to model and solve optimization problems. The main goal is to develop proficiency in common optimization modeling languages, and learn how to integrate them with underlying optimization solvers. Students will work primarily on modeling exercises, which will develop confidence in modeling and solve optimization methods using software packages, and will require some programming.
Review of linear and nonlinear optimization models, including optimization problems with discrete decision variables. Applications to practical problems from engineering and data science.
Introduction to Optimization Modeling: Read More [+]

IND ENG 165 Engineering Statistics, Quality Control, and Forcasting 3 Units

Offered through: Industrial Engin and Oper Research
Terms offered: Spring 2018, Spring 2017, Spring 2016
This course will introduce students to basic statistical techniques such as parameter estimation, hypothesis testing, regression analysis, analysis of variance. Applications in forecasting and quality control.


Engineering Statistics, Quality Control, and Forcasting: Read More [+]

IND ENG 166 Decision Analytics 3 Units

Offered through: Industrial Engin and Oper Research
Terms offered: Spring 2018, Spring 2017, Spring 2016
Introductory course on the theory and applications of decision analysis. Elective course that provides a systematic evaluation of decision-making problems under uncertainty. Emphasis on the formulation, analysis, and use of decision-making techniques in engineering, operations research and systems analysis. Includes formulation of risk problems and probabilistic risk assessments. Graphical methods and computer software using event trees, decision trees, and influence diagrams that focus on model design.
Decision Analytics: Read More [+]

IND ENG 170 Industrial Design and Human Factors 3 Units

Offered through: Industrial Engin and Oper Research
Terms offered: Spring 2018, Spring 2017, Spring 2016
This course surveys topics related to the design of products and interfaces ranging from alarm clocks, cell phones, and dashboards to logos, presentations, and web sites. Design of such systems requires familiarity with human factors and ergonomics, including the physics and perception of color, sound, and touch, as well as familiarity with case studies and contemporary practices in interface design and usability testing. Students will solve a series of design problems individually and in teams.
Industrial Design and Human Factors: Read More [+]

IND ENG 171 Technology Firm Leadership 3 Units

Offered through: Industrial Engin and Oper Research
Terms offered: Spring 2018, Fall 2017, Spring 2017
This course explores key management and leadership concepts relevant to the high-technology world. Topics include the firm's key operations, strategic issues, and managerial leadership including personal leadership and talent management. This course prepares technical and business minded students for careers focused on professional and management track careers in high technology. Students undertake intensive study of actual business situations through rigorous case-study analysis.
Technology Firm Leadership: Read More [+]

IND ENG 172 Probability and Risk Analysis for Engineers 3 Units

Offered through: Industrial Engin and Oper Research
Terms offered: Fall 2017, Fall 2016, Fall 2015
This is an introductory course in probability designed to develop a good understanding of uncertain phenomena and the mathematical tools used to model and analyze it. Applications will be given in such areas as reliability theory, risk theory, inventory theory, financial models, and computer science, among others. To complement the theory, the course also covers the basics of stochastic simulation. This course is a probability course and cannot be used to fulfill any engineering unit or elective requirements.

Probability and Risk Analysis for Engineers: Read More [+]

IND ENG 173 Introduction to Stochastic Processes 3 Units

Offered through: Industrial Engin and Oper Research
Terms offered: Spring 2018, Spring 2017
This is an introductory course in stochastic models. It builds upon a basic course in probability theory and extends the concept of a single random variable into collections of random variables known as stochastic processes. The course focuses on discrete-time Markov chains, Poisson process, continuous-time Markov chains, and renewal theory. It also discusses applications to queueing theory, risk analysis and reliability theory. Along with the theory, the course covers stochastic simulation techniques that will allow students to go beyond the models and applications discussed in the course.
Introduction to Stochastic Processes: Read More [+]

IND ENG 180 Senior Project 4 Units

Offered through: Industrial Engin and Oper Research
Terms offered: Spring 2018, Fall 2017, Spring 2017
Application of systems analysis and industrial engineering to the analysis, planning, and/or design of industrial, service, and government systems. Consideration of technical and economic aspects of equipment and process design. Students work in teams under faculty supervision. Topics vary yearly.
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IND ENG 185 Challenge Lab 4 Units

Offered through: Industrial Engin and Oper Research
Terms offered: Spring 2018, Fall 2017, Summer 2017 Second 6 Week Session
This course is meant for students in engineering and other disciplines who seek a challenging, interactive, team-based, and hands-on learning experience in entrepreneurship and technology. In this highly experiential course, students work in simulated start-up teams to create products or start-up ideas to address a broadly-defined need of an industry partner or social challenge.
Challenge Lab: Read More [+]

IND ENG 186 Product Management 3 Units

Offered through: Industrial Engin and Oper Research
Terms offered: Spring 2018, Fall 2017, Spring 2017
Too often we are enamored in our brilliant ideas, we skip the most important part: building products consumers will want and use. Precious time and effort is wasted on engineering perfect products only to launch to no users. This course teaches product management skills such as attributes of great product managers, reducing risk and cost while accelerating time to market, product life cycle, stakeholder management and effective development processes.
Product Management: Read More [+]

IND ENG 190A Advanced Topics in Industrial Engineering and Operations Research 1 - 4 Units

Offered through: Industrial Engin and Oper Research
Terms offered: Spring 2018, Fall 2016, Spring 2016
The 190 series cannot be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise).
Advanced Topics in Industrial Engineering and Operations Research: Read More [+]

IND ENG 190B Advanced Topics in Industrial Engineering and Operations Research: Entrepreneurial Marketing and Finance 1 - 4 Units

Offered through: Industrial Engin and Oper Research
Terms offered: Fall 2017, Spring 2014, Fall 2013
The 190 series cannot be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise).
Advanced Topics in Industrial Engineering and Operations Research: Entrepreneurial Marketing and Finance: Read More [+]

IND ENG 190C Advanced Topics in Industrial Engineering and Operations Research 1 - 4 Units

Offered through: Industrial Engin and Oper Research
Terms offered: Spring 2018, Fall 2017, Spring 2017
The 190 series cannot be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise).
Advanced Topics in Industrial Engineering and Operations Research: Read More [+]

IND ENG 190D Advanced Topics in Industrial Engineering and Operations Research 1 - 4 Units

Offered through: Industrial Engin and Oper Research
Terms offered: Spring 2017, Fall 2014, Spring 2014
The 190 series cannot be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise).
Advanced Topics in Industrial Engineering and Operations Research: Read More [+]

IND ENG 190E Advanced Topics in Industrial Engineering and Operations Research: Entrepreneurship & Innovation 1 - 4 Units

Offered through: Industrial Engin and Oper Research
Terms offered: Fall 2017, Fall 2014, Fall 2013
The 190 series cannot be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise).
Advanced Topics in Industrial Engineering and Operations Research: Entrepreneurship & Innovation: Read More [+]

IND ENG 190F Advanced Topics in Industrial Engineering and Operations Research 1 - 4 Units

Offered through: Industrial Engin and Oper Research
Terms offered: Spring 2013, Spring 2012, Spring 2011
The 190 series cannot be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise).
Advanced Topics in Industrial Engineering and Operations Research: Read More [+]

IND ENG 190G Advanced Topics in Industrial Engineering and Operations Research 1 - 4 Units

Offered through: Industrial Engin and Oper Research
Terms offered: Spring 2016, Spring 2015, Spring 2014
The 190 series cannot be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise).
Advanced Topics in Industrial Engineering and Operations Research: Read More [+]

IND ENG 190H Cases in Global Innovation 1 Unit

Offered through: Industrial Engin and Oper Research
Terms offered: Spring 2011
This course is designed primarily for upper-level undergraduate and graduate students interested in examining the major challenges and success factors entrepreneurs and innovators face in globalizing a company, product, or service. Over the duration of this course, students will examines case studies of early, mid-stage, and large-scale enterprises as they seek to start a new venture, introduce a new product or service, or capitalize on global economic trends to enhance their existing business. The course content exposes students interested in internationally oriented careers to the strategic thinking involved in international engagement and expansion. Cases will include both U.S. companies seeking to enter emerging markets and emerging market companies looking to expand within their own nations or into markets in developed nations. The course is focused around intensive study of actual business situations through rigorous case-study analysis.
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IND ENG 190I Cases in Global Innovation: China 1 Unit

Offered through: Industrial Engin and Oper Research
Terms offered: Prior to 2007
This course is designed primarily for upper-level undergraduate and graduate students interested in examining the major challenges and success factors entrepreneurs and innovators face in globalizing a company product or service, with a focus on China. Over the duration of this course, students will examine case studies of foreign companies seeking to start a new venture, introduce a new product or service to the China market, or domestic Chinese companies seeking to adapt a U.S. or western business model to the China market. The course content exposes students interested in internationally oriented careers to the strategic thinking involved in international engagement and expansion and the particularities of the China market and their contrast with the U.S. market. The course is focused around intensive study of actual business situations through rigorous case-study analysis and the course size is limited to 30.
Cases in Global Innovation: China: Read More [+]

IND ENG 190K Cases in Global Innovation: South Asia 1 Unit

Offered through: Industrial Engin and Oper Research
Terms offered: Prior to 2007
This course is designed primarily for upper-level undergraduate and graduate students interested in examining the major challenges and success factors entrepreneurs and innovators face in conducting business, globalizing a company product or service, or investing in South Asia. Over the duration of this course, students will examine case studies of foreign companies seeking to start a new venture, introduce a new product or service to the South Asian market, or South Asian companies seeking to adapt a U.S or western business model. The course will put this into the larger context of the political, economic, and social climate in several South Asian countries and explore the constraints to doing business, as well as the policy changes that have allowed for a more conducive business environment.
Cases in Global Innovation: South Asia: Read More [+]

IND ENG 191 Technology Entrepreneurship 3 Units

Offered through: Industrial Engin and Oper Research
Terms offered: Spring 2018, Fall 2017, Spring 2017
This course explores key entrepreneurial concepts relevant to the high-technology world. Topics include the entrepreneurial perspective, start-up strategies, business idea evaluation, business plan writing, introduction to entrepreneurial finance and venture capital, managing growth, and delivering innovative products. This course prepares technical and business minded students for careers focused on entrepreneurship, intrapreneurship, and high technology. Students undertake intensive study of actual business situations through rigorous case-study analysis. This course can not be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise).
Technology Entrepreneurship: Read More [+]

IND ENG 192 Berkeley Method of Entrepreneurship Bootcamp 2 Units

Offered through: Industrial Engin and Oper Research
Terms offered: Spring 2018, Fall 2017, Summer 2017 Second 6 Week Session
This course offers the opportunity to understand the Berkeley Method of Entrepreneurship (BME) in an intensive format. The BME curriculum conveys the latest approaches for training global technology entrepreneurs. This method leverages insights on strategy, tactics, culture, and psychology with an accompanying entrepreneurial infrastructure. The curriculum is structured to provide an optimal global entrepreneurship experience from real life experiences.
Berkeley Method of Entrepreneurship Bootcamp: Read More [+]

IND ENG 195 A. Richard Newton Lecture Series 1 Unit

Offered through: Industrial Engin and Oper Research
Terms offered: Spring 2018, Fall 2017, Spring 2017
This lecture series serves as an entry point for undergraduate and graduate curriculum sequences in entrepreneurship and innovation. The series, established in 2005, is named in honor of A. Richard Newton, a visionary technology industry leader and late dean of the University of California Berkeley College of Engineering. The course features a selection of high-level industry speakers who share their insights on industry developments, leadership, and innovation based on their careers.
A. Richard Newton Lecture Series: Read More [+]

IND ENG H196A Operations Research and Management Science Honors Thesis 3 Units

Offered through: Industrial Engin and Oper Research
Terms offered: Prior to 2007
Individual study and research for at least one academic year on a special problem approved by a member of the faculty; preparation of the thesis on broader aspects of this work.
Operations Research and Management Science Honors Thesis: Read More [+]

IND ENG H196B Operations Research and Management Science Honors Thesis 3 Units

Offered through: Industrial Engin and Oper Research
Terms offered: Prior to 2007
Individual study and research for at least one academic year on a special problem approved by a member of the faculty; preparation of the thesis on broader aspects of this work.
Operations Research and Management Science Honors Thesis: Read More [+]

IND ENG 197 Undergraduate Field Research in Industrial Engineering 1 - 12 Units

Offered through: Industrial Engin and Oper Research
Terms offered: Summer 2017 10 Week Session, Summer 2016 10 Week Session
Students work on a field project under the supervision of a faculty member. Course does not satisfy unit or residence requirements for bachelor's degree.
Undergraduate Field Research in Industrial Engineering: Read More [+]

IND ENG 198 Directed Group Studies for Advanced Undergraduates 1 - 4 Units

Offered through: Industrial Engin and Oper Research
Terms offered: Fall 2016, Spring 2016, Fall 2015
Group studies of selected topics. Semester course unit value and contact hours will have a one-to-one ratio.
Directed Group Studies for Advanced Undergraduates: Read More [+]

IND ENG 199 Supervised Independent Study 1 - 4 Units

Offered through: Industrial Engin and Oper Research
Terms offered: Summer 2016 10 Week Session, Summer 2015 10 Week Session, Spring 2015
Supervised independent study. Enrollment restrictions apply.
Supervised Independent Study: Read More [+]

Faculty and Instructors

Faculty

Ilan Adler, Professor. Financial engineering, optimization theory, combinatorial probability models.
Research Profile

Anil Jayanti Aswani, Assistant Professor.

Alper Atamturk, Professor. Logistics, integer programming, computational optimization, robust optimization.
Research Profile

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

Lee Fleming, Professor. Invention, innovation, patents, big data, leadership.
Research Profile

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

Xin Guo, Professor. Financial engineering, industrial engineering and operations, stochastic processes and applications, stochastic control, semi-martingale and filteration expansions, credit risk, (ir)reversible investment.
Research Profile

Dorit S. Hochbaum, Professor. Data mining, integer programming, discrete optimization, network flow techniques, clustering, image segmentation, machine vision, pattern recognition.
Research Profile

Philip M. Kaminsky, Professor. Biotechnology, logistics, distribution, algorithms, planning, optimization, control, manufacturing, semiconductors, scheduling, biomanufacturing, probabilistic methods, production scheduling, supply chain management, operations management, logistic.
Research Profile

Javad Lavaei, Assistant Professor.

Robert C. Leachman, Professor. Logistics, manufacturing, semiconductors, scheduling, supply chain systems, dynamic production models, production planning and scheduling.
Research Profile

Shmuel S. Oren, Professor. Economics, algorithms, financial engineering, risk management, planning, optimization, operation of electric power systems, market based coordination of network systems, trading instruments.
Research Profile

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

Rhonda L. Righter, Professor. Modeling, optimization, stochastic systems, systems with uncertainty.
Research Profile

Lee W. Schruben, Professor. Health care systems, simulation, optimization of simulation system response, foundations of simulation modeling, supply chains, experimental designs, biopharmaceuticals, Production.
Research Profile

Zuo-Jun Shen, Professor. Logistics, supply chain design and management, inventory management, auction mechanism design.
Research Profile

Ikhlaq Sidhu, Adjunct Professor. Technology management, industrial engineering and operations, technology commerialization, interdisciplinary engineering.
Research Profile

Candace Yano, Professor. Inventory control, production planning, distribution systems planning, integrated production-quality models, integrated manufacturing-marketing models.
Research Profile

Lecturers

Solomon Darwin, Lecturer.

Nicholas L. Gunther, Lecturer.

Han Jin, Lecturer.

Tal Lavian, Lecturer.

David Law, Lecturer.

Ronald Lesniak, Lecturer.

Mehdi Maghsoodnia, Lecturer.

Deepak Rajan, Lecturer.

Kenneth Sandy, Lecturer.

Ken Singer, Lecturer.

Naeem Zafar, Lecturer.

Emeritus Faculty

Richard E. Barlow, Professor Emeritus. Industrial engineering and operations, reliability theory, statistical data analysis, Bayesian probability modeling.
Research Profile

Stuart E. Dreyfus, Professor Emeritus. Neural networks, dynamic programming, limits of operations research modeling, cognitive ergonomics.
Research Profile

C. Roger Glassey, Professor Emeritus. Simulation of manufacturing systems, production planning & scheduling, mathematical optimization.
Research Profile

Robert M. Oliver, Professor Emeritus. Risk management, operations research, industrial engineering, prediction of rare events, default and fraud detection, credit risk scoring, analysis tools, computer software, acquisition and negotiation strategies.
Research Profile

Sheldon M. Ross, Professor Emeritus. Financial engineering, simulations, stochastics, statistical analysis.
Research Profile

J. George Shanthikumar, Professor Emeritus. Scheduling, production system modelling & analysis, queueing theory & applications, reliability & probability theory, sequencing, simulation methodology, stochastic processes & modelling.
Research Profile

Ronald W. Wolff, Professor Emeritus. Stochastic processes, queueing theory, queuing network, transmission systems.
Research Profile

Contact Information

Department of Industrial Engineering and Operations Research

4141 Etcheverry Hall

Phone: 510-642-5484

Visit Department Website

Department Chair

Ken Goldberg

4143 Etcheverry Hall

Phone: 510-642-5484

goldberg@berkeley.edu

Head Undergraduate Faculty Adviser

Robert C. Leachman

4127 Etcheverry Hall

Phone: 510-642-7054

leachman@ieor.berkeley.edu

Student Affairs Officer

Anayancy Paz

4145 Etcheverry Hall

Phone: 510-642-5485

anayancy@berkeley.edu

Engineering Student Services Adviser

Jane Paris

230 Bechtel Engineering Center

Phone: 510-642-7594

jparis@berkeley.edu

Engineering Student Services

(ESS)

230 Bechtel Engineering Center

Phone: 510-642-7594

http://engineering.berkeley.edu/ESS

ess@berkeley.edu

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