Industrial Engineering and Operations Research
College of Engineering
Department Office: 4141 Etcheverry Hall, (510) 642-5484
Chair: Phil Kaminsky, PhD
Department Website: Industrial Engineering and Operations Research
Overview
Industrial engineering and operations research are closely related fields that deal with the design, analysis, and control of complex systems that include people, machines, material, and information, and the interactions of such systems with their environment. Formal models, often computer-based, are extensively used in systems analysis, while systems design, as in other fields of engineering, requires well-developed integrative skills and creativity. The theoretical foundations of optimization, stochastic systems, reliability, and engineering economics often form the basis for operations research studies. Industrial engineering frequently uses knowledge of production, human/machine systems, incentives, organizational behavior, and automation in the design and improvement of goal-seeking systems. These methods may be applied to a great variety of human activities in both public and private sectors, including manufacturing, banking, health care, communications, waste management, transportation, and logistics.
For more information, see the College of Engineering Announcement: A Guide to Undergraduate and Graduate Study online.
Undergraduate Program
Undergraduates in the Department of Industrial Engineering and Operations Research receive broad training in engineering fundamentals, principles of economics and advanced mathematics and statistics in order to prepare them for elective sequences which stress the construction of systems models, the role of the human being in these systems, and the related mathematical and computer methods of optimization and control. A unified core program is offered both for students who wish to pursue the professional aspects of the field, and for those who, after further education at the graduate level, wish to engage in teaching and research. In order to satisfy the needs of students with diverse objectives, considerable flexibility in planning individual programs is provided.
The BS program is accredited in industrial engineering and operations research by the Engineering Accreditation Commission of the Accreditation Board for Engineering and Technology (ABET), 111 Market Place, Suite 1050, Baltimore, MD, 21202-4012; phone: (410) 347-7700.
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 and Science. See the "Operations Research and Management Science" section of this catalog for more information.
Curriculum and Requirements for the Bachelor's Degree
Students must complete a minimum of 120 units, in which they must satisfy the University of California and Berkeley campus requirements outlined in this bulletin. In addition, students must complete the requirements for the College of Engineering and the industrial engineering and operations research program. Full details on these requirements can be found in the College of Engineering Announcement: A Guide to Undergraduate and Graduate Study available online.
Graduate Programs
Graduate programs are offered leading to the MS or PhD.
The programs have been developed to meet the needs of individuals with backgrounds in engineering or the mathematical sciences who wish to enhance their knowledge of the theory, development, and use of quantitative models for the analysis, design, and organization of complex systems in the industrial, service, or public sectors. Students may concentrate on theoretical studies in preparation for doctoral-level research, or on applications of state-of-the-art techniques to real world problems.
Undergraduates from scientific disciplines other than engineering may be accepted into these programs. A master's degree may be earned by thesis or by comprehensive examination. Doctoral degrees require oral examination in the major and two minor fields followed by submission of a thesis demonstrating ability to conduct independent advanced research. Several computing laboratories, as well as a robotics laboratory, are available for graduate research.
The department requires all graduate applicants to submit scores of the general Graduate Record Examination (GRE). Further information on graduate programs may be obtained from the Industrial Engineering and Operations Research Office, 4141 Etcheverry Hall, Berkeley, CA 94720-1777, and in the College of Engineering Announcement .
Please visit this website for more information about the undergraduate and graduate programs.
IND ENG 24 Freshman Seminars 1 Unit
Department: Industrial Engin and Oper Research
Course level: Undergraduate
Term course may be offered: Fall
Grading: The grading option will be decided by the instructor when the class is offered.
Hours and format: 1 hour of Seminar per week for 15 weeks.
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.
Course may be repeated for credit as topic varies. Course may be repeated for credit when topic changes.
IND ENG 115 Industrial and Commercial Data Systems 3 Units
Department: Industrial Engin and Oper Research
Course level: Undergraduate
Term course may be offered: Fall
Grading: Letter grade.
Hours and format: 2 hours of lecture and 2 hours of laboratory/project per week.
Prerequisites: Upper division standing.
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.
Instructor: Goldberg
IND ENG 130 Methods of Manufacturing Improvement 3 Units
Department: Industrial Engin and Oper Research
Course level: Undergraduate
Term course may be offered: Spring
Grading: Letter grade.
Hours and format: 3 hours of Lecture per week for 15 weeks.
Prerequisites: 172, Mathematics 54, or Statistics 134 (may be taken concurrently).
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.
Instructor: Leachman
IND ENG 131 Discrete Event Simulation 3 Units
Department: Industrial Engin and Oper Research
Course level: Undergraduate
Terms course may be offered: Fall, spring and summer
Grading: Letter grade.
Hours and format: 2 hours of Lecture and 1 hour of Discussion per week for 15 weeks. 3 hours of Lecture and 1.5 hours of Discussion per week for 10 weeks. 4.5 hours of Lecture and 1.5 hours of Discussion per week for 8 weeks. 5 hours of Lecture and 1.5 hours of Discussion per week for 6 weeks.
Prerequisites: 161, 165; 172 or Statistics 134.
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.
Instructor: Schruben
IND ENG 140 Introduction to Mobile Industrial Robots 4 Units
Department: Industrial Engin and Oper Research
Course level: Undergraduate
Terms course may be offered: Fall and spring
Grading: Letter grade.
Hours and format: 2 hours of lecture, 2 hours of design workshop, and 2 hours of programming laboratory per week.
Prerequisites: Knowledge of Java equivalent to completion of Computer Science 9G. Engineering 7 or 77.
Introductory course in the hardware and software design of autonomous vehicles. Basic concepts of sensors, actuators, navigation, exploration, feedback control, and communications. Object-oriented software design principles. Programming for real-time control using Java. Laboratory project teams will design, build, program, and test small prototype vehicles for material handling systems and other applications.
Instructors: Glassey, Goldberg
IND ENG 150 Production Systems Analysis 3 Units
Department: Industrial Engin and Oper Research
Course level: Undergraduate
Term course may be offered: Fall
Grading: Letter grade.
Hours and format: 3 hours of Lecture per week for 15 weeks.
Prerequisites: 160, 161, 162, 165, and Engineering 120, or senior standing in manufacturing engineering.
Quantitative models for operational and tactical decision making in production systems, including production planning, inventory control, forecasting, and scheduling.
Instructor: Yano
IND ENG 151 Service Operations Design and Analysis 3 Units
Department: Industrial Engin and Oper Research
Course level: Undergraduate
Term course may be offered: Spring
Grading: Letter grade.
Hours and format: 3 hours of Lecture per week for 15 weeks.
Prerequisites: 161, 162, and a course in statistics.
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.
IND ENG 153 Logistics Network Design and Supply Chain Management 3 Units
Department: Industrial Engin and Oper Research
Course level: Undergraduate
Term course may be offered: Fall
Grading: Letter grade.
Hours and format: 3 hours of Lecture per week for 15 weeks.
Prerequisites: 160, 162 or senior standing.
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.
Instructor: Kaminsky
IND ENG 160 Operations Research I 3 Units
Department: Industrial Engin and Oper Research
Course level: Undergraduate
Term course may be offered: Fall
Grading: Letter grade.
Hours and format: 2 hours of Lecture and 1 hour of Discussion per week for 15 weeks.
Prerequisites: Mathematics 53 and 54.
Deterministic methods and models in operations research. Unconstrained and constrained optimization. Equality, inequality, and integer constraints. Sequential decisions; dynamic programming. Resource allocation, equipment replacement, inventory control, production planning.
Instructor: Atamturk
IND ENG 161 Operations Research II 3 Units
Department: Industrial Engin and Oper Research
Course level: Undergraduate
Term course may be offered: Spring
Grading: Letter grade.
Hours and format: 2 hours of Lecture and 1 hour of Discussion per week for 15 weeks.
Prerequisites: 172 or Statistics 134.
Probability review. Conditional expectation. The exponential distribution and poisson process. Markovian Queueing Systems. Component reliability systems. Applications to replacement, repair, transportation and inventory models.
Instructors: Ross, Shanthikumar
IND ENG 162 Linear Programming 3 Units
Department: Industrial Engin and Oper Research
Course level: Undergraduate
Terms course may be offered: Fall and spring
Grading: Letter grade.
Hours and format: 2 hours of Lecture and 1 hour of Discussion per week for 15 weeks.
Prerequisites: Mathematics 53 and 54.
Formulation to linear programs. Optimal allocation and control problems in industry and 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.
IND ENG S162 Linear Programming 3 Units
Department: Industrial Engin and Oper Research
Course level: Undergraduate
Term course may be offered: Summer
Grading: Letter grade.
Hours and format: 4 hours of Lecture and 2 hours of Discussion per week for 8 weeks.
Prerequisites: Mathematics 50A.
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.
IND ENG 165 Engineering Statistics, Quality Control, and Forcasting 3 Units
Department: Industrial Engin and Oper Research
Course level: Undergraduate
Terms course may be offered: Fall, spring and summer
Grading: Letter grade.
Hours and format: 3 hours of Lecture per week for 15 weeks. 7.5 hours of Lecture per week for 6 weeks.
Prerequisites: 172 or Statistics 134 or an equivalent course in probability theory.
This course will introduce students to basic statistical techniques such as parameter estimation, hypothesis testing, regression analysis, analysis of variance. Specific applications in forecasting and quality control will be considered in detail.
Students will receive no credit for 165 after taking Statistics 135.
IND ENG 166 Decision Analysis 3 Units
Department: Industrial Engin and Oper Research
Course level: Undergraduate
Term course may be offered: Spring
Grading: Letter grade.
Hours and format: 3 hours of Lecture per week for 15 weeks.
Prerequisites: 172 or Statistics 134.
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.
Instructor: Oren
IND ENG 170 Industrial Design and Human Factors 3 Units
Department: Industrial Engin and Oper Research
Course level: Undergraduate
Term course may be offered: Spring
Grading: Letter grade.
Hours and format: 3 hours of Lecture per week for 15 weeks.
Prerequisites: Upper division standing.
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.
Instructor: Goldberg
IND ENG 171 Technology Firm Leadership 3 Units
Department: Industrial Engin and Oper Research
Course level: Undergraduate
Terms course may be offered: Fall and summer
Grading: Letter grade.
Hours and format: 3 hours of Lecture per week for 15 weeks. 6 hours of Lecture per week for 8 weeks.
Prerequisites: Upper division standing.
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.
Students cannot receive credit for both 171 and Business Administration 105. Course may be repeated for credit when topic changes. Students will receive no credit for 171 after taking Undergraduate Business Administration 105.
IND ENG 172 Probability and Risk Analysis for Engineers 3 Units
Department: Industrial Engin and Oper Research
Course level: Undergraduate
Terms course may be offered: Fall and spring
Grading: Letter grade.
Hours and format: 3 hours of Lecture and 1 hour of Discussion per week for 15 weeks. 5 hours of Lecture and 2.5 hours of Discussion per week for 6 weeks.
Prerequisites: Mathematics 1A-1B or 16A-16B.
This is an introductory probability course for students in engineering. It focuses mostly on random variables and their applications. Applications will be given in such areas as reliability theory, risk theory, inventory theory, failure models, stress models, computer science, and others. Note: this course can not be used to fulfill any engineering unit or elective requirements; this is a statistics course and can only be used to fulfill a statistics requirement.
Course may be repeated for credit when topic changes. Students will receive no credit for 172 after taking Statistics 134.
IND ENG 180 Senior Project 4 Units
Department: Industrial Engin and Oper Research
Course level: Undergraduate
Terms course may be offered: Fall, spring and summer
Grading: Letter grade.
Hours and format: 1 hour of lecture, 1 hour of consultation with faculty adviser, and 6 hours of company visitation per week.
Prerequisites: 131, 160, 161, 162, 165, Engineering 120, and three other Industrial Engineering and Operations Research electives.
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.
IND ENG 190A Advanced Topics in Industrial Engineering and Operations Research 1 - 4 Units
Department: Industrial Engin and Oper Research
Course level: Undergraduate
Terms course may be offered: Fall, spring and summer
Grading: The grading option will be decided by the instructor when the class is offered.
Hours and format: 1 to 4 hour of Seminar per week for 15 weeks. 1.5 to 6 hours of Seminar per week for 10 weeks. 1.5 to 7.5 hours of Seminar per week for 8 weeks.
The 190 series cannot be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise).
Course may be repeated for credit when topic changes.
IND ENG 190B Advanced Topics in Industrial Engineering and Operations Research: Entrepreneurial Marketing and Finance 1 - 4 Units
Department: Industrial Engin and Oper Research
Course level: Undergraduate
Terms course may be offered: Fall, spring and summer
Grading: The grading option will be decided by the instructor when the class is offered.
Hours and format: 1 to 4 hour of Seminar per week for 15 weeks. 1.5 to 6 hours of Seminar per week for 10 weeks. 1.5 to 7.5 hours of Seminar per week for 8 weeks.
The 190 series cannot be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise).
Course may be repeated for credit when topic changes.
IND ENG 190C Advanced Topics in Industrial Engineering and Operations Research 1 - 4 Units
Department: Industrial Engin and Oper Research
Course level: Undergraduate
Terms course may be offered: Fall, spring and summer
Grading: The grading option will be decided by the instructor when the class is offered.
Hours and format: 1 to 4 hour of Seminar per week for 15 weeks. 1.5 to 6 hours of Seminar per week for 10 weeks. 1.5 to 7.5 hours of Seminar per week for 8 weeks.
The 190 series cannot be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise).
Course may be repeated for credit when topic changes.
IND ENG 190D Advanced Topics in Industrial Engineering and Operations Research 1 - 4 Units
Department: Industrial Engin and Oper Research
Course level: Undergraduate
Terms course may be offered: Fall, spring and summer
Grading: The grading option will be decided by the instructor when the class is offered.
Hours and format: 1 to 4 hour of Seminar per week for 15 weeks. 1.5 to 6 hours of Seminar per week for 10 weeks. 1.5 to 7.5 hours of Seminar per week for 8 weeks.
The 190 series cannot be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise).
Course may be repeated for credit when topic changes.
IND ENG 190E Advanced Topics in Industrial Engineering and Operations Research: Entrepreneurship & Innovation 1 - 4 Units
Department: Industrial Engin and Oper Research
Course level: Undergraduate
Terms course may be offered: Fall, spring and summer
Grading: Letter grade.
Hours and format: 1 to 4 hour of Seminar per week for 15 weeks. 1.5 to 6 hours of Seminar per week for 10 weeks. 1.5 to 7.5 hours of Seminar per week for 8 weeks. 2.5 to 10 hours of Seminar per week for 6 weeks.
The 190 series cannot be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise).
Course may be repeated for credit when topic changes.
IND ENG 190F Advanced Topics in Industrial Engineering and Operations Research 1 - 4 Units
Department: Industrial Engin and Oper Research
Course level: Undergraduate
Terms course may be offered: Fall, spring and summer
Grading: The grading option will be decided by the instructor when the class is offered.
Hours and format: 1 to 4 hour of Seminar per week for 15 weeks. 1.5 to 6 hours of Seminar per week for 10 weeks. 1.5 to 7.5 hours of Seminar per week for 8 weeks.
The 190 series cannot be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise).
Course may be repeated for credit when topic changes.
IND ENG 190G Advanced Topics in Industrial Engineering and Operations Research 1 - 4 Units
Department: Industrial Engin and Oper Research
Course level: Undergraduate
Terms course may be offered: Fall, spring and summer
Grading: The grading option will be decided by the instructor when the class is offered.
Hours and format: 1 to 4 hour of Seminar per week for 15 weeks. 1.5 to 6 hours of Seminar per week for 10 weeks. 1.5 to 7.5 hours of Seminar per week for 8 weeks.
The 190 series cannot be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise).
Course may be repeated for credit when topic changes.
IND ENG 190H Cases in Global Innovation 1 Unit
Department: Industrial Engin and Oper Research
Course level: Undergraduate
Term course may be offered: Fall
Grading: Letter grade.
Hours and format: 2 hours of lecture per week for 8 weeks.
Prerequisites: Junior or Senior standing.
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.
IND ENG 190I Cases in Global Innovation: China 1 Unit
Department: Industrial Engin and Oper Research
Course level: Undergraduate
Terms course may be offered: Fall and spring
Grading: Letter grade.
Hours and format: 2 hours of lecture per week for 8 weeks.
Prerequisites: Junior or senior standing. Recommended, but not required to be taken after or along with Engineering 198.
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.
Instructor: Sidhu
IND ENG 190K Cases in Global Innovation: South Asia 1 Unit
Department: Industrial Engin and Oper Research
Course level: Undergraduate
Terms course may be offered: Fall and spring
Grading: Letter grade.
Hours and format: 2 hours of lecture per week for 8 weeks.
Prerequisites: Junior or senior standing. Recommended but not required to be taken after or along with Engineering 198.
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.
Instructor: Sidhu
IND ENG 191 Technology Entrepreneurship 3 Units
Department: Industrial Engin and Oper Research
Course level: Undergraduate
Term course may be offered: Fall
Grading: Letter grade.
Hours and format: 3 hours of Lecture per week for 15 weeks.
Prerequisites: Junior or senior standing.
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).
Students will receive no credit for 191 after taking 190A prior to fall 2009. Instructor: Sidhu
IND ENG H196A Operations Research and Management Science Honors Thesis 3 Units
Department: Industrial Engin and Oper Research
Course level: Undergraduate
Terms course may be offered: Fall and spring
Grading: Offered for pass/not pass grade only.
Hours and format: 3 hours of Independent study per week for 15 weeks.
Prerequisites: Open only to students in the honors program.
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.
Course may be repeated for credit with consent of instructor. Course may be repeated for credit when topic changes. Course may be repeated for credit with consent of instructor.
IND ENG H196B Operations Research and Management Science Honors Thesis 3 Units
Department: Industrial Engin and Oper Research
Course level: Undergraduate
Terms course may be offered: Fall and spring
Grading: Offered for pass/not pass grade only.
Hours and format: 3 hours of Independent study per week for 15 weeks.
Prerequisites: Open only to students in the honors program.
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.
Course may be repeated for credit with consent of instructor. Course may be repeated for credit when topic changes.
IND ENG 197 Undergraduate Field Research in Industrial Engineering 1 - 12 Units
Department: Industrial Engin and Oper Research
Course level: Undergraduate
Terms course may be offered: Fall, spring and summer
Grading: Offered for pass/not pass grade only.
Hours and format: Forty-5 hours of academic work per unit per term. Forty-5 hours of academic work per unit per term.
Prerequisites: Completion of two semesters of coursework.
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.
Course may be repeated for credit. Course may be repeated for credit when topic changes.
IND ENG 198 Directed Group Studies for Advanced Undergraduates 1 - 4 Units
Department: Industrial Engin and Oper Research
Course level: Undergraduate
Terms course may be offered: Fall and spring
Grading: Offered for pass/not pass grade only.
Hours and format: 1 to 4 hour of Directed group study per week for 15 weeks.
Prerequisites: Senior standing in Engineering.
Group studies of selected topics. Semester course unit value and contact hours will have a one-to-one ratio.
Course may be repeated for credit. Course may be repeated for credit when topic changes.
IND ENG 199 Supervised Independent Study 1 - 4 Units
Department: Industrial Engin and Oper Research
Course level: Undergraduate
Terms course may be offered: Fall, spring and summer
Grading: Offered for pass/not pass grade only.
Hours and format: Individual conferences.
Prerequisites: Consent of instructor and major adviser.
Supervised independent study. Enrollment restrictions apply.
Course may be repeated for credit when topic changes. Course may be repeated for a maximum of four units per semester.
IND ENG 215 Analysis and Design of Databases 3 Units
Department: Industrial Engin and Oper Research
Course level: Graduate
Term course may be offered: Fall
Grading: Letter grade.
Hours and format: 2 hours of lecture and 1 hour of laboratory/project per week.
Prerequisites: Graduate standing.
Advanced topics in information management, focusing on design of relational databases, querying, and normalization. New issues raised by the World Wide Web. Research projects on current topics in information technology.
Instructor: Goldberg
IND ENG 220 Economics and Dynamics of Production 3 Units
Department: Industrial Engin and Oper Research
Course level: Graduate
Term course may be offered: Fall
Grading: Letter grade.
Hours and format: 3 hours of Lecture per week for 15 weeks.
Prerequisites: 262A (may be taken concurrently), Mathematics 104 recommended.
Analysis of the capacity and efficiency of production systems. Development of analytical tools for improving efficiency, customer service, and profitability of production environments. Design and development of effective industrial production planning systems. Modelling principles are illustrated by reviewing actual large-scale planning systems successfully implemented for naval ship overhaul and for semiconductor manufacturing.
Instructor: Leachman
IND ENG 221 Introduction to Financial Engineering 3 Units
Department: Industrial Engin and Oper Research
Course level: Graduate
Term course may be offered: Fall
Grading: Letter grade.
Hours and format: 3 hours of Lecture per week for 15 weeks.
Prerequisites: 162 or 262A, course in probability, or consent of instructor.
A course on financial concepts useful for engineers that will cover, among other topics, those of interest rates, present values, arbitrage, geometric Brownian motion, options pricing, and portfolio optimization. The Black-Scholes option-pricing formula will be derived and studied. Stochastic simulation ideas will be introduced and used to obtain the risk-neutral geometric Brownian motion values for certain types of Asian, barrier, and lookback options. Portfolio optimization problems will be considered both from a mean-variance and from a utility function point of view. Methods for evaluating real options will be presented. The use of mathematical optimization models as a framework for analyzing financial engineering problems will be shown.
Instructors: Adler, Oren, Ross
IND ENG 222 Financial Engineering Systems I 3 Units
Department: Industrial Engin and Oper Research
Course level: Graduate
Terms course may be offered: Fall and spring
Grading: Letter grade.
Hours and format: 3 hours of Lecture and 1 hour of Discussion per week for 15 weeks.
Prerequisites: 221 or equivalent; 172 or Statistics 134 or a one-semester probability course.
Introductory graduate level course, focusing on applications of operations research techniques, e.g., probability, statistics, and optimization, to financial engineering. The course starts with a quick review of 221, including no-arbitrage theory, complete market, risk-neutral pricing, and hedging in discrete model, as well as basic probability and statistical tools. It then covers Brownian motion, martingales, and Ito's calculus, and deals with risk-neutral pricing in continuous time models. Standard topics include Girsanov transformation, martingale representation theorem, Feyman-Kac formula, and American and exotic option pricings. Simulation techniques will be discussed at the end of the semester, and MATLAB (or C or S-Plus) will be used for computation.
Instructor: Guo
IND ENG 223 Financial Engineering Systems II 3 Units
Department: Industrial Engin and Oper Research
Course level: Graduate
Terms course may be offered: Fall and spring
Grading: Letter grade.
Hours and format: 3 hours of Lecture and 1 hour of Discussion per week for 15 weeks.
Prerequisites: 222 or equivalent; 161 or 263A or equivalent.
Advanced graduate course for Ph.D. students interested in pursuing a professional/research career in financial engineering. The course will start with a quick review of 222: the basics of Brownian motion, martingales, Ito's calculus, risk-neutral pricing in continuous time models. It then covers rigorously and in depth the most fundamental probability concepts for financial engineers, including stochastic integral, stochastic differential equations, and semi-martingales. The second half of the course will discuss the most recent topics in financial engineering, such as credit risk and analysis, risk measures and portfolio optimization, and liquidity risk and models.
Instructor: Guo
IND ENG C227A/EL ENG C227T Introduction to Convex Optimization 4 Units
Department: Industrial Engineering and Operations Research; Electrical Engineering; Industrial Engin and Oper Research
Course level: Graduate
Terms course may be offered: Fall and spring
Grading: Letter grade.
Hours and format: 3 hours of lecture and 2 hours of laboratory and 1 hour of discussion per week.
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.
Formerly known as Electrical Engineering C227A/Industrial Engin and Oper Research C227A. Instructors: El Ghaoui, Wainwright
IND ENG C227B/EL ENG C227C Convex Optimization and Approximation 3 Units
Department: Industrial Engineering and Operations Research; Electrical Engineering; Industrial Engin and Oper Research
Course level: Graduate
Terms course may be offered: Fall and spring
Grading: Letter grade.
Hours and format: 3 hours of lecture per week.
Prerequisites: 227A or consent of instructor.
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.
Instructor: El Ghaoui
IND ENG 231 Introduction to Data Modeling, Statistics, and System Simulation 3 Units
Department: Industrial Engin and Oper Research
Course level: Graduate
Terms course may be offered: Fall and spring
Grading: Letter grade.
Hours and format: 3 hours of Lecture per week for 15 weeks.
Prerequisites: 262A, 263A or equivalents and some programming experience.
This course uses industrial engineering and operations research models for analyzing and optimizing real systems where the underlying processes and/or parameters are not fully known, but data may be available, sampled, or artifically generated. Monte Carlo simulations are used to model systems that may be too complex to approximate accurately with deterministic, stationary, or static models, and to measure the robustness of predictions, and manage the risks, in decisions based on data-driven industrial engineering and operations research models.
Instructors: Lim, Guo, Schruben, Shanthikumar
IND ENG 240 Optimization Analytics 3 Units
Department: Industrial Engin and Oper Research
Course level: Graduate
Terms course may be offered: Fall and spring
Grading: Letter grade.
Hours and format: 3 hours of Lecture and 1 hour of Laboratory per week for 15 weeks.
Prerequisites: Basic analysis and linear algebra, and basic computer skills and experience.
Computing technology has advanced to the point that commonly available tools can be used to solve practical decision problems and optimize real-world systems quickly and efficiently. This course will focus on the understanding and use of such tools, to model and solve complex real-world business problems, to analyze the impact of changing data and relaxing assumptions on these decisions, and to understand the risks associated with particular decisions and outcomes.
IND ENG 241 Risk Modeling, Simulation, and Data Analysis 3 Units
Department: Industrial Engin and Oper Research
Course level: Graduate
Terms course may be offered: Fall and spring
Grading: Letter grade.
Hours and format: 3 hours of Lecture and 1 hour of Laboratory per week for 15 weeks.
Prerequisites: Basic notions of probability, statistics, and some programming and spreadsheet analysis experience.
This is a Masters of Engineering course, in which students will develop a fundamental understanding of how randomness and uncertainty are root causes of risk in modern enterprises. The technical material will be presented in the context of engineering team system design and operations decisions.
IND ENG 248 Supply Chain Innovation, Strategy, and Analytics 3 Units
Department: Industrial Engin and Oper Research
Course level: Graduate
Terms course may be offered: Fall and spring
Grading: Letter grade.
Hours and format: 3 hours of Lecture per week for 15 weeks.
Prerequisites: Introductory course on Production and Inventory Control or Operations Management.
This course introduces you to the field of supply chain management through a series of lectures and case studies that emphasize innovative concepts in supply chain management that have proven to be beneficial for a good number of adopters. Innovations that we will discuss include collaborative forecasting, social media, online procurement, and technologies such as RFID.
IND ENG 250 Introduction to Production Planning and Logistics Models 3 Units
Department: Industrial Engin and Oper Research
Course level: Graduate
Term course may be offered: Fall
Grading: Letter grade.
Hours and format: 3 hours of Lecture per week for 15 weeks.
Prerequisites: 262A and 263A taken concurrently.
This will be an introductory first-year graduate course covering fundamental models in production planning and logistics. Models, algorithms, and analytical techniques for inventory control, production scheduling, production planning, facility location and logistics network design, vehicle routing, and demand forecasting will be discussed.
Instructor: Kaminsky
IND ENG 251 Facilities Design and Logistics 3 Units
Department: Industrial Engin and Oper Research
Course level: Graduate
Term course may be offered: Spring
Grading: Letter grade.
Hours and format: 3 hours of Lecture per week for 15 weeks.
Prerequisites: 262A, and either 172 or Statistics 134.
Design and analysis of models and algorithms for facility location, vehicle routing, and facility layout problems. Emphasis will be placed on both the use of computers and the theoretical analysis of models and algorithms.
Instructor: Kaminsky
IND ENG 252 Service Operations Management 3 Units
Department: Industrial Engin and Oper Research
Course level: Graduate
Terms course may be offered: Fall and spring
Grading: Letter grade.
Hours and format: 3 hours of Lecture per week for 15 weeks.
Prerequisites: Students who have not advanced to M.S., M.S./Ph.D., or Ph.D. levels or are not in the Industrial Engineering and Operations Research Department must consult with the instructor before taking this course for credit.
This course focuses on the design of service businesses such as commercial banks, hospitals, airline companies, call centers, restaurants, Internet auction websites, and information providers. The material covered in the course includes internet auctions, procurement, service facility location, sevice quality management, capacity planning, airline ticket pricing, financial plan design, pricing of digital goods, call center management, service competition, revenue management in queueing systems, information intermediaries, and health care. The goal of the instructors is to equip the students with sufficient technical background to be able to do research in this area.
Instructors: Shen, Chen
IND ENG 253 Supply Chain Operation and Management 3 Units
Department: Industrial Engin and Oper Research
Course level: Graduate
Terms course may be offered: Fall and spring
Grading: Letter grade.
Hours and format: 3 hours of Lecture per week for 15 weeks.
Supply chain analysis is the study of quantitative models that characterize various economic trade-offs in the supply chain. The field has made significant strides on both theoretical and practical fronts. On the theoretical front, supply chain analysis inspires new research ventures that blend operations research, game theory, and microeconomics. These ventures result in an unprecedented amalgamation of prescriptive, descriptive, and predictive models characteristic of each subfield. On the practical front, supply chain analysis offers solid foundations for strategic positioning, policy setting, and decision making.
Course may be repeated for credit. Course may be repeated for credit when topic changes. Instructor: Shen
IND ENG C253/CIV ENG C258 Supply Chain and Logistics Management 3 Units
Department: Industrial Engineering and Operations Research; Civil and Environmental Engineering; Industrial Engin and Oper Research
Course level: Graduate
Terms course may be offered: Fall and spring
Grading: Letter grade.
Hours and format: 3 hours of lecture per week.
Supply chain analysis is the study of quantitative models that characterize various economic trade-offs in the supply chain. The field has made significant strides on both theoretical and practical fronts. On the theoretical front, supply chain analysis inspires new research ventures that blend operations research, game theory, and microeconomics. These ventures result in an unprecedented amalgamation of prescriptive, descriptive, and predictive models characteristic of each subfield. On the practical front, supply chain analysis offers solid foundations for strategic positioning, policy setting, and decision making.
Instructor: Shen
IND ENG 254 Production and Inventory Systems 3 Units
Department: Industrial Engin and Oper Research
Course level: Graduate
Term course may be offered: Spring
Grading: Letter grade.
Hours and format: 3 hours of Lecture per week for 15 weeks.
Prerequisites: 262A or 150; 263A or 161 recommended.
Mathematical and computer methods for design, planning, scheduling, and control in manufacturing and distribution systems.
IND ENG 261 Experimenting with Simulated Systems 3 Units
Department: Industrial Engin and Oper Research
Course level: Graduate
Terms course may be offered: Fall and spring
Grading: Letter grade.
Hours and format: 3 hours of Lecture per week for 15 weeks.
Prerequisites: 165 or equivalent statistics course, and some computer programming background.
This course will introduce graduate and upper division undergraduate students to modern methods for simulating discrete event models of complex stochastic systems. About a third of the course will be devoted to system modeling, with the remaining two-thirds concentrating on simulation experimental design and analysis.
Instructors: Ross, Schruben, Shanthikumar
IND ENG 262A Mathematical Programming I 4 Units
Department: Industrial Engin and Oper Research
Course level: Graduate
Term course may be offered: Fall
Grading: Letter grade.
Hours and format: 3 hours of Lecture and 1 hour of Discussion per week for 15 weeks.
Prerequisites: Mathematics 110.
Basic graduate course in linear programming and introduction to network flows and non-linear programming. Formulation and model building. The simplex method and its variants. Duality theory. Sensitivity analysis, parametric programming, convergence (theoretical and practical). Polynomial time algorithms. Introduction to network flows models. Optimality conditions for non linear optimization problems.
Instructors: Adler, Oren
IND ENG 262B Mathematical Programming II 3 Units
Department: Industrial Engin and Oper Research
Course level: Graduate
Term course may be offered: Spring
Grading: Letter grade.
Hours and format: 3 hours of Lecture per week for 15 weeks.
Prerequisites: Math 110 or equivalent.
Basic first year graduate course in optimization of non-linear programs. Formulation and model building. Theory of optimization for constrained and unconstrained problems. Study of algorithms for non-linear optimization with emphasis on design considerations and performance evaluation.
Instructors: Adler, Oren
IND ENG 263A Applied Stochastic Process I 4 Units
Department: Industrial Engin and Oper Research
Course level: Graduate
Term course may be offered: Fall
Grading: Letter grade.
Hours and format: 3 hours of Lecture and 1 hour of Discussion per week for 15 weeks.
Prerequisites: 172, or Statistics 134 or Statistics 200A.
Conditional Expectation. Poisson and renewal processes. Renewal reward processes with application to inventory, congestion, and replacement models. Discrete and continuous time Markov chains; with applications to various stochastic systems--such as exponential queueing systems, inventory models and reliability systems.
Instructors: Ross, Shanthikumar
IND ENG 263B Applied Stochastic Process II 3 Units
Department: Industrial Engin and Oper Research
Course level: Graduate
Term course may be offered: Spring
Grading: Letter grade.
Hours and format: 3 hours of Lecture per week for 15 weeks.
Prerequisites: 263A.
Continuous time Markov chains. The reversed chain concept in continuous time Markov chains with applications of queueing theory. Semi-Markov processes with emphasis on application. Brownian Motion. Random walks with applications. Introduction to Martinjales.
Instructors: Ross, Shanthikumar
IND ENG 264 Computational Optimization 3 Units
Department: Industrial Engin and Oper Research
Course level: Graduate
Term course may be offered: Spring
Grading: Letter grade.
Hours and format: 3 hours of Lecture per week for 15 weeks.
Prerequisites: 262A.
This course is on computational methods for the solution of large-scale optimization problems. The focus is on converting the theory of optimization into effective computational techniques. Course topics include an introduction to polyhedral theory, cutting plane methods, relaxation, decomposition and heuristic approaches for large-scale optimization problems.
Instructor: Atamturk
IND ENG 266 Network Flows and Graphs 3 Units
Department: Industrial Engin and Oper Research
Course level: Graduate
Term course may be offered: Spring
Grading: Letter grade.
Hours and format: 3 hours of Lecture per week for 15 weeks.
Prerequisites: 262A (may be taken concurrently).
Survey of solution techniques and problems that have formulations in terms of flows in networks. Max-flow min-cut theorem. Minimum cost flows. Multiterminal and multicommodity flows. Relationship with linear programming, transportation problems, electrical networks and critical path scheduling.
Instructors: Adler, Hochbaum
IND ENG 267 Queueing Theory 3 Units
Department: Industrial Engin and Oper Research
Course level: Graduate
Terms course may be offered: Fall and spring
Grading: Letter grade.
Hours and format: 3 hours of Lecture per week for 15 weeks.
Prerequisites: 263A.
The result "L = (lambda) w" and other conservation laws. Elementary queueing models; comparing single- and multiple-server queues. PASTA. Work. Markovian queues; product form results. Overflow models. Embedded Markov chains. Random walks and the GI/G/l queues. Work conservation; priorities. Bounds and approximations.
Instructor: Shanthikumar
IND ENG 268 Applied Dynamic Programming 3 Units
Department: Industrial Engin and Oper Research
Course level: Graduate
Term course may be offered: Fall
Grading: Letter grade.
Hours and format: 3 hours of Lecture per week for 15 weeks.
Prerequisites: Mathematics 51.
Dynamic programming formulation of deterministic decision process problems, analytical and computational methods of solution, application to problems of equipment replacement, resource allocation, scheduling, search and routing. Brief introduction to decision making under risk and uncertainty.
Instructor: Dreyfus
IND ENG 269 Integer Programming and Combinatorial Optimization 3 Units
Department: Industrial Engin and Oper Research
Course level: Graduate
Terms course may be offered: Fall and spring
Grading: Letter grade.
Hours and format: 3 hours of Lecture per week for 15 weeks.
Prerequisites: 262A.
The course deals with discrete optimization problems and their complexity. These topics include complexity analysis of algorithms and its drawbacks; solving a system of linear integer equations and inequalities; strongly polynomial algorithms, network flow problems (including matching and branching); polyhedral optimization; branch and bound and lagrangean relaxation.
Instructor: Hochbaum
IND ENG 280 Systems Analysis and Design Project 3 Units
Department: Industrial Engin and Oper Research
Course level: Graduate
Terms course may be offered: Fall and spring
Grading: Letter grade.
Hours and format: 3 hours of Lecture per week for 15 weeks.
Prerequisites: 262A, 263A.
A project course for students interested in applications of operations research and engineering methods. One or more systems, which may be public or in the private sector, will be selected for detailed analysis and re-designed by student groups.
IND ENG 288 Automation Science and Engineering 3 Units
Department: Industrial Engin and Oper Research
Course level: Graduate
Terms course may be offered: Fall and spring
Grading: Letter grade.
Hours and format: 2 hours of Lecture, 1 hour of Discussion, and 1 hour of Laboratory per week for 15 weeks.
Automation is a central aspect of contemporary industrial engineering that combines sensors, actuators, and computing to monitor and perform operations. It is applied to a broad range of applications from manufacturing to transporation to healthcare. This course provides an introduction to analysis, models, algorithms, research, and practical skills in the field and includes a laboratory component where students will learn and apply basic skills in computer programming and interfacing of sensors and motors that will culminate in a team design project.
IND ENG 290A Dynamic Production Theory and Planning Models 3 Units
Department: Industrial Engin and Oper Research
Course level: Graduate
Terms course may be offered: Fall and spring
Grading: Letter grade.
Hours and format: 3 hours of Lecture per week for 15 weeks.
Prerequisites: 220 and 254.
Development of dynamic activity analysis models for production planning and scheduling. Relationship to theory of production, inventory theory and hierarchical organization of production management.
IND ENG 290G Advanced Mathematical Programming 3 Units
Department: Industrial Engin and Oper Research
Course level: Graduate
Terms course may be offered: Fall and spring
Grading: Letter grade.
Hours and format: 3 hours of Lecture per week for 15 weeks.
Prerequisites: 262A.
Selected topics in mathematical programming. The actual subjects covered may include: Convex analysis, duality theory, complementary pivot theory, fixed point theory, optimization by vector space methods, advanced topics in nonlinear algorithms, complexity of mathematical programming algorithms (including linear programming).
IND ENG 290R Topics in Risk Theory 3 Units
Department: Industrial Engin and Oper Research
Course level: Graduate
Terms course may be offered: Fall and spring
Grading: Letter grade.
Hours and format: 3 hours of Lecture per week for 15 weeks.
Prerequisites: 263A.
Seminar on selected topics from financial and technological risk theory, such as risk modeling, attitudes towards risk and utility theory, portfolio management, gambling and speculation, insurance and other risk-sharing arrangements, stochastic models of risk generation and run off, risk reserves, Bayesian forecasting and credibility approximations, influence diagrams, decision trees. Topics will vary from year to year.
IND ENG 298 Group Studies, Seminars, or Group Research 1 - 4 Units
Department: Industrial Engin and Oper Research
Course level: Graduate
Terms course may be offered: Fall and spring
Grading: The grading option will be decided by the instructor when the class is offered.
Hours and format: Seminars.
Advanced seminars in industrial engineering and operations research.
Course may be repeated for credit. Course may be repeated for credit when topic changes.
IND ENG 299 Individual Study or Research 1 - 12 Units
Department: Industrial Engin and Oper Research
Course level: Graduate
Terms course may be offered: Fall, spring and summer
Grading: The grading option will be decided by the instructor when the class is offered.
Hours and format: Individual conferences. Individual conferences. Forty-5 hours of work per unit per term. Individual conferences. Forty-5 hours of work per unit per term. Individual conferences.
Individual investigation of advanced industrial engineering problems.
Course may be repeated for credit. Course may be repeated for credit when topic changes.
IND ENG 601 Individual Study for Master's Students 1 - 12 Units
Department: Industrial Engin and Oper Research
Course level: Graduate examination preparation
Terms course may be offered: Fall, spring and summer
Grading: Offered for satisfactory/unsatisfactory grade only.
Hours and format: Forty-5 hours of work per unit per term. Individual conferences.
Individual study for the comprehensive in consultation with the field adviser. Units may not be used to meet either unit or residence requirements for a master's degree.
Course may be repeated for credit. Course may be repeated for credit when topic changes.
IND ENG 602 Individual Study for Doctoral Students 1 - 12 Units
Department: Industrial Engin and Oper Research
Course level: Graduate examination preparation
Terms course may be offered: Fall, spring and summer
Grading: Offered for satisfactory/unsatisfactory grade only.
Hours and format: Forty-5 hours of work per unit per term. Individual conferences.
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). May not be used for unit or residence requirements for the doctoral degree.
Course may be repeated for credit. Course may be repeated for credit when topic changes.
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