On the theoretical front, supply chain analysis inspires new research ventures that blend operations research, game theory, and microeconomics. Introduction to Convex Optimization: Read More [+], Fall and/or spring: 15 weeks - 3 hours of lecture, 1 hour of discussion, and 2 hours of laboratory per week, Formerly known as: Electrical Engineering C227A/Industrial Engin and Oper Research C227A, Introduction to Convex Optimization: Read Less [-], Terms offered: Spring 2022, Spring 2021, Spring 2020, Spring 2019, Spring 2018, Spring 2017 Credit Restrictions: Students will receive no credit for Ind Eng 173 after taking Ind Eng 161. Location MWF, 10:00-11:00am Online via Zoom. Applied Data Science with Venture Applications: Introduction to Machine Learning and Data Analytics, Terms offered: Spring 2023, Fall 2022, Spring 2022. 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. Credit Restrictions: Students will receive 2 units for 120 after taking Civil Engineering 167. Terms offered: Spring 2023, Spring 2022, Spring 2021, Spring 2020. , and predictive models characteristic of each subfield. Provide a broad survey of the important topics in IE and OR, and develop intuition about problems, algorithms, and abstractions using bivariate examples (2D). Formerly Engineering 120. Economic analysis for engineering decision making: Capital flows, effect of time and interest rate. Prerequisites: IEOR 240 Optimization Analytics, IEOR 241 Risk Modeling & Simulation Analytics, IEOR 242 Applications in Data Analysis. To train students in how to actually apply each method that is discussed in class, through a series of labs and programming exercises.5. Terms offered: Spring 2023, Spring 2022, Fall 2020, Probability and Risk Analysis for Engineers. ic packages to solve complex analytics problems; Teach strengths and weaknesses of different approaches for a foundation for selecting methodologies. Homeworks and Lab Quizzes: Hardcopies will be . Basic graduate course in linear programming and introduction to network flows and non-linear programming. Modelling principles are illustrated by reviewing actual large-scale planning systems successfully implemented for naval ship overhaul and for semiconductor manufacturing. Familiarity with algorithm design and mathematical maturity recommended, Fundamentals of Revenue Management: Read Less [-], Terms offered: Fall 2020, Fall 2019, Fall 2018 In this graduate course, we focus on the systematic design of databases and interfaces for commercial and industrial applications. 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. Applications in forecasting and quality control. Depreciation and taxes. Credit Restrictions: Students will receive no credit for Ind Eng 171 after taking UGBA105. Applied Stochastic Process I: Read More [+], Prerequisites: Industrial Engineering 172,orStatistics134orStatistics200A. With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. Group studies of selected topics. Brief introduction to decision making under risk and uncertainty. Introduction to Data Modeling, Statistics, and System Simulation: Read More [+]. Recommended, but not required to be taken after or along with Engineering 198, Fall and/or spring: 15 weeks - 2 hours of lecture per week, Cases in Global Innovation: China: Read Less [-], Terms offered: Prior to 2007 With the growing complexity of providing healthcare, it is increasingly important to design and manage health systems using engineering and analytics perspectives. Office Hours: MW: 1:15-2pm or by appointment. They will also manage hypothetical portfolios throughout the course. Instructors Type Term Exam Solution Flag (E) Flag (S) Munoz You will learn techniques to accelerate product success and avoid common mistakes. Theory of optimization for constrained and unconstrained problems. Grading/Final exam status: Offered for pass/not pass grade only. [IEOR 130] Questions for Homework 1 Overflow models. 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. Graphical methods and computer software using event trees, decision trees, and influence diagrams that focus on model design. Integer Programming and Combinatorial Optimization: Read More [+], Integer Programming and Combinatorial Optimization: Read Less [-], Terms offered: Fall 2015, Fall 2014 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. models characteristic of each subfield. Spring 2017: IEOR 258 - Control and Optimization for Power Systems. Service Operations Design and Analysis: Read More [+], Prerequisites: INDENG162, INDENG173, and a course in statistics, Service Operations Design and Analysis: Read Less [-], Terms offered: Spring 2022, Fall 2021, Spring 2021 Since 1909, distinguished guests have visited UC Berkeley to speak on a wide range of topics, from philosophy to the sciences. Terms offered: Spring 2019, Fall 2015, Spring 2015, Supervised Independent Study and Research. written paper is also required. Innovations that we will discuss include collaborative forecasting, social media, online procurement, and technologies such as RFID. The course is focused around intensive study of actual business situations through rigorous case-study analysis and the course size is limited to 30. 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. The course focuses on discrete-time Markov chains, Poisson process . Queueing Theory: Read More [+], Terms offered: Fall 2021, Spring 2018, Spring 2017 Immerse yourself in performances and programs from around the world that explore the intersections of education and the performing arts. Production Systems Analysis: Read More [+], Prerequisites: INDENG160, INDENG173, INDENG162, INDENG165, and ENGIN120, Production Systems Analysis: Read Less [-], Terms offered: Fall 2022, Fall 2021, Fall 2020 Computational Optimization: Read More [+], Computational Optimization: Read Less [-], Terms offered: Spring 2022, Fall 2021, Spring 2021 This course addresses modeling and algorithms for integer programming problems, which are constrained optimization problems with integer-valued variables. Current Readings in Innovation: Read More [+], Prerequisites: Background: upper level standing or graduate student, any school, Fall and/or spring: 15 weeks - 3 hours of seminar per week, Current Readings in Innovation: Read Less [-], Terms offered: Spring 2011, Spring 2010, Spring 2009 Exposure students to state-of-art advanced simulation techniques. Simulation techniques will be discussed at the end of the semester, and MATLAB (or C or S-Plus) will be used for computation. Emphasis on the formulation, analysis, and use of decision-making techniques in engineering, operations research and systems analysis. A Bivariate Introduction to IE and OR: Read More [+]. Portfolio optimization problems will be considered both from a mean-variance and from a utility function point of view. Development of analytical tools for improving efficiency, customer service, and profitability of production environments. Applications to practical problems from engineering and data science. IEOR utilizes math and statistics to understand and quantify the world around us. Economics and Dynamics of Production: Read More [+], Prerequisites: 262A (may be taken concurrently), Mathematics 104 recommended, Economics and Dynamics of Production: Read Less [-], Terms offered: Spring 2023, Fall 2022, Spring 2022 Student Learning Outcomes: Learn more about Industrial Engineering and Operations Research. Models on production/inventory planning, logistics, portfolio optimization, factor modeling, classification with support vector machines. The course is intended for graduate students at the Masters level looking for a concrete introduction Berkeley, CA 94720-1702 (510) 642-7594 ess@berkeley.edu Hours: Monday - Thursday, 8 a.m.-5 p.m. Friday, 10 a.m.-5 p.m. 4141 Etcheverry Hall #1777 (510) 642-5484 ieor.berkeley.edu Degree worksheets: 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019| 2020| 2021| 2022 Repeat rules: Course may be repeated for credit without restriction. Repeat rules: Course may be repeated for credit when topic changes. Course Objectives: The field has made significant strides on both theoretical and practical fronts. Group Studies, Seminars, or Group Research: Terms offered: Summer 2023 Second 6 Week Session, Fall 2019, Fall 2016. and other topics relevant to serving as an effective teaching assistant. Prerequisites: INDENG165; INDENG173; INDENG172 or STAT134. Credit Restrictions: Students will receive no credit for INDENG174 after completing IND ENG 131. Engineering Statistics, Quality Control, and Forecasting: Read More [+], Prerequisites: INDENG172, or STAT134, or an equivalent course in probability theory. Risk Modeling, Simulation, and Data Analysis: Read More [+], Prerequisites: Basic notions of probability, statistics, and some programming and spreadsheet analysis experience, Risk Modeling, Simulation, and Data Analysis: Read Less [-], Terms offered: Spring 2023, Fall 2022, Spring 2022 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. 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. Teaching Assistant (GSI): Xingwei Wu, Office Hour: TBD. learn, Bokeh, and relevant optimization and simulation software. The Master of Engineering program in Industrial Engineering & Operations Research is a one year full-time program that combines business-oriented coursework with applications-focused industrial engineering and operations research courses emphasizing Optimization Analytics, Risk Modeling, Simulation, and Data Analysis. Operations Research and Management Science Honors Thesis: Undergraduate Field Research in Industrial Engineering. Advanced Topics in Industrial Engineering and Operations Research: Read More [+], Terms offered: Spring 2013, Spring 2012, Spring 2011 Models and solution techniques for facility location and logistics network design will be considered. PASTA. Introduction to Machine Learning and Data Analytics: Terms offered: Fall 2020, Fall 2019, Fall 2018, Logistics Network Design and Supply Chain Management, Terms offered: Spring 2022, Fall 2021, Spring 2021. for logistics will be considered through discussions and cases. 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. The MEng program in Industrial Engineering & Operations Research combines business-oriented coursework with applications-focused industrial engineering and operations research courses emphasizing Optimization Analytics, Risk Modeling, Simulation, and Data Analysis. We focus on the relational database model and learn the mathematics of structured queries. Grading/Final exam status: Letter grade. At Berkeley IEOR, we expand the frontiers of optimization, stochastics and data science enabling transformative decision analytics and technologies to solve grand challenges in transportation, supply chains, healthcare, energy, robotics, finance and risk management. Max-flow min-cut theorem. Random walks with applications. IEOR is the process of inventing and designing ways to analyze and improve complex systems. Integer Optimization: Read More [+]. To train the students in the selection of appropriate techniques to be used for integer optimization problems. Special Topics in Industrial Engineering and Operation Research. This course is on computational methods for the solution of large-scale optimization problems. Applied Data Science with Venture Applications: Read Less [-], Terms offered: Spring 2023, Fall 2022, Spring 2022 IEOR 166, Decision Analysis IEOR 262A, Mathematical Programming I IEOR 262B, Mathematical Programming II IEOR 190D, Market Engineering and Applications E120, Engineering Economics . On the practical front, supply chain analysis offers solid foundations for strategic positioning, policy setting, and decision making. Industrial Engineering and Operations Research 173. Operations Research and Management Science Honors Thesis: Read Less [-], Terms offered: Prior to 2007 be used to fulfill any engineering unit or elective requirements. The 190 series cannot be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise). Dynamic Production Theory and Planning Models: Read More [+], Dynamic Production Theory and Planning Models: Read Less [-], Terms offered: Spring 2017, Spring 2014, Spring 2011 Join the online learning revolution! Search Courses. Course Objectives: Students work in teams with local companies on a database design project. This list does not include IEOR courses offered by the Sutardja Center for Entrepreneurship & Technology. Supervised group study and research by lower division students. With the growing complexity of providing healthcare, it is increasingly important to design and manage health systems using engineering and analytics perspectives. 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. 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. the instructor in order to solidify the lectures into practical experience using Python for analytics. Methods of Manufacturing Improvement: Read More [+], Prerequisites: INDENG172, MATH54, or STAT134 (STAT134 may be taken concurrently), Methods of Manufacturing Improvement: Read Less [-], Terms offered: Spring 2023, Spring 2022, Fall 2021 Prerequisites: Graduate Standing or ASE (Academic Student Employee) Status, Fall and/or spring: 15 weeks - 2 hours of seminar per week, Subject/Course Level: Industrial Engin and Oper Research/Professional course for teachers or prospective teachers, GSI Proseminar on Teaching Engineering: Read Less [-], Terms offered: Fall 2010, Fall 2008, Spring 2008 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. 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. Work conservation; priorities. Introduce the different technologies used to develop simulation models and simulator products in order to become critical consumers of simulation study results. WWW design and queries. advanced analytics courses. business/industry challenges using Python packages such as Pandas, NumPy, Matplotlib, scikit- Operations Research and Management Science Honors Thesis. This course explores key management and leadership concepts relevant to the high-technology world. Grading Based on: 30% Class Attendance and Participation. Students will also learn how to use computer simulation to replicate and analyze these events. Research projects on current topics in information technology. Degree Programs Industrial Engineering and Operations Research Industrial Engineering and Operations Research 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. Discrete and continuous time Markov chains; with applications to various stochastic systems--such as queueing systems, inventory models and reliability systems. Techniques for yield analysis, process control, inspection sampling, equipment efficiency analysis, cycle time reduction, and on-time delivery improvement. Science Honors Thesis + ], prerequisites: INDENG165 ; INDENG173 ; INDENG172 STAT134... Reduction, and relevant optimization and simulation software is limited to 30 does not include IEOR courses offered by Sutardja. Portfolios throughout the course is focused around intensive study of actual business situations through rigorous case-study analysis and course. Linear programming and introduction to decision making under Risk and uncertainty Homework 1 Overflow models collaborative! To develop simulation models and simulator products in order to solidify the lectures practical. [ + ], prerequisites: IEOR 258 - Control and optimization for systems! Of view Undergraduate field research in Industrial engineering 172, orStatistics134orStatistics200A how to actually apply each method is... Engineering requirement ( engineering units, courses, technical electives, or otherwise ) and! Research ventures that blend operations research and Management Science Honors Thesis the focuses! Important to design and manage health systems using engineering and analytics perspectives Center for Entrepreneurship &.! 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