Final exam required. Copyright 2023-24, UC Regents; all rights reserved. Probabilitybackgroundwith Industrial Engineering173 orequivalentisrecommended, Applied Stochastic Process I: Read Less [-], Terms offered: Spring 2023, Spring 2022, Spring 2021 This course will introduce graduate and upper division undergraduate students to modern methods for simulating discrete event models of complex stochastic systems. Industrial Engineering & Operations Research, Management, Entrepreneurship & Technology, Ph.D. Industrial Engineering & Operations Research, Applied Data Science with Venture Applications, Logistics Network Design and Supply Chain Management, Engineering Statistics, Quality Control, and Forecasting, Probability and Risk Analysis for Engineers. exploratory analytics to systems analytics in an industry context, including communication of Grading/Final exam status: Offered for pass/not pass grade only. Control and Optimization for Power Systems: Read More [+]. In addition, the course will introduce elements of financial markets and asset classes. They will learn how mathematical tools and computational methods are used for the design, modeling, planning, and real-time operation of power grids. The Black-Scholes option-pricing formula will be derived and studied. One of the grand challenges of this century is the modernization of electrical power networks. Industrial Engineering and Operations Research 162 . New issues raised by the World Wide Web. The emphasis will be on computational methods such as variants of GARCH, Black-Litterman, conic optimization, Monte Carlo simulation for risk and optimization, factor modeling. Renewal reward processes with application to inventory, congestion, and replacement models. Terms offered: Spring 2023, Spring 2022, Spring 2021, Spring 2020. , and predictive models characteristic of each subfield. 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. Applied Data Science with Venture Applications: Read Less [-], Terms offered: Spring 2023, Fall 2022, Spring 2022 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. The IEOR department is excited to announce that more than 50% of our Fall 2022 undergraduate and master's cohorts are female-identifying and non-binary. Operations Research and Management Science Honors Thesis: Read More [+], Prerequisites: Open only to students in the honors program. 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. The technical material will be presented in the context of engineering team system design and operations decisions. Introduction to Machine Learning and Data Analytics: Read More [+]. Summer: 6 weeks - 7.5 hours of lecture and 2.5 hours of discussion per week, Engineering Statistics, Quality Control, and Forecasting: Read Less [-], Terms offered: Spring 2022, Spring 2021, Fall 2019 Specialized strategies by integer programming solvers. Prerequisites: INDENG165; INDENG173; INDENG172 or STAT134. Credit Restrictions: Students will receive no credit for INDENG174 after completing IND ENG 131. 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. To introduce students to advanced topics that are important to the successful application of machine learning methods in practice, include how methods for prediction are integrated with optimization models and modern optimization techniques for large-scale learning problems. Understand the University policies and procedures on academic integrity and ethics. 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. 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. Random walks and the GI/G/l queues. Organize concepts and objectives covered in an engineering course.3. Dynamic Production Theory and Planning Models: Terms offered: Spring 2017, Spring 2014, Spring 2011, Terms offered: Spring 2016, Spring 2015, Spring 2014, Group Studies, Seminars, or Group Research. 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 Enable the students to recognize when problems can be modeled as integer optimization problems. 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 Introduction to Data Modeling, Statistics, and System Simulation: concept, we explore implementing it in Python using libraries for math array functions, manipulation of tables, data architectures, natural language, and ML frameworks. Help us reach our goal 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. Supply Chain Innovation, Strategy, and Analytics: Introduction to Production Planning and Logistics Models. Fall and/or spring: 15 weeks - 3 hours of independent study per week. Operations Research and Management Science Honors Thesis. Fall and/or spring: 15 weeks - 1-3 hours of directed group study per week. Frontiers in Revenue Management: Read More [+], Prerequisites: IndEng 262A and IndEng 263A (or equivalent coursework) IndEng 264 and IndEng 269 recommended but not required, Frontiers in Revenue Management: Read Less [-], Terms offered: Not yet offered This course prepares technical and business minded students for careers focused on professional and management track careers in high technology. Supply chain analysis is the study of quantitative models that characterize various economic trade-offs in the supply chain. Our researchers create new fields of optimization and push the boundaries in convex and non-convex optimization, integer and combinatorial optimization to find solutions to grand challanges with massive data sets. Students will be exposed to the key concepts through a mixture of foundational theory and case studies from a variety of businesses. A deficient grade in INDENG172 may be removed by taking STAT 140. Advanced Mathematical Programming: Read More [+], Advanced Mathematical Programming: Read Less [-], Terms offered: Spring 2016, Spring 2015, Spring 2014 This course will cover topics related to healthcare analytics, including: optimizing chronic disease management, designing matching markets for health systems, developing predictive analytics models, and managing resource utilization. Theory of optimization for constrained and unconstrained problems. This list does not include IEOR courses offered by the Sutardja Center for Entrepreneurship & Technology. Risk Modeling, Simulation, and Data Analysis: Supply Chain Innovation, Strategy, and Analytics. 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. Learn more about our game-changing alumni, and view our recent newsletters. Supply Chain Operation and Management: Read More [+], Supply Chain Operation and Management: Read Less [-], Terms offered: Spring 2023, Spring 2022, Spring 2021, Spring 2020 Design and analysis of models and algorithms for facility location, vehicle routing, and facility layout problems. Students taking Ind Eng 242 cannot receive credit for Ind Eng 142. Summer: 6 weeks - 2.5-10 hours of independent study per week8 weeks - 2-7.5 hours of independent study per week10 weeks - 1.5-6 hours of independent study per week, Supervised Independent Study: Read Less [-], Terms offered: Prior to 2007 Applications in forecasting and quality control. Fundamentals of Revenue Management: Read More [+], Prerequisites: IndEng 162, IndEng 169 and either IndEng 173 Or IndEng 172 (or equivalent introductory courses in mathematical programming and probability). Courses. This course applies foundational concepts in programming, databases, machine learning, and statistical modeling to answer questions from business and social science. Operations Research & Management Science, B.S. To train students in modeling of integer optimization problems; Industrial Engineering & Operations Research, Management, Entrepreneurship & Technology, Ph.D. Industrial Engineering & Operations Research. The IEOR department plans to offer the following courses in the Spring 2022 semester. Applied Stochastic Process I: Read More [+], Prerequisites: Industrial Engineering 172,orStatistics134orStatistics200A. In this award-winning video, IEOR students explain what industrial engineering & operations research is, how their skills can improve the world, and discuss exciting careers in IEOR. Quantitative models for operational and tactical decision making in production systems, including production planning, inventory control, forecasting, and scheduling. Prerequisites: upper division standing. Course Objectives: 1. Final exam required. Credit Restrictions: Course may be repeated for credit with consent of instructor. Convex sets and convex functions; local optimality; KKT conditions; Lagrangian duality; steepest descent and Newton's method. Course Objectives: 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. Individual Study or Research: Read More [+], Fall and/or spring: 15 weeks - 3-36 hours of independent study per week, Summer: 6 weeks - 7.5-40 hours of independent study per week8 weeks - 6-40 hours of independent study per week10 weeks - 4.5-40 hours of independent study per week. Fall and/or spring: 15 weeks - 1 hour of seminar per week, Subject/Course Level: Industrial Engin and Oper Research/Undergraduate. This course will introduce students to basic statistical techniques such as parameter estimation, hypothesis testing, regression analysis, analysis of variance. Course Objectives: Students will learn how to model random phenomena and learn about a variety of areas where it is important to estimate the likelihood of uncertain events. This course addresses modeling and algorithms for integer programming problems, which are constrained optimization problems with integer-valued variables. Optimization Analytics: Read More [+], Prerequisites: Basic analysis and linear algebra, and basic computer skills and experience, Fall and/or spring: 15 weeks - 3 hours of lecture and 1 hour of laboratory per week, Terms offered: Fall 2022, Fall 2021, Fall 2020 This course will cover topics related to the interplay between optimization and statistical learning. Consideration of technical and economic aspects of equipment and process design. Grading/Final exam status: Letter grade. Algorithms for integer optimization problems. The use of mathematical optimization models as a framework for analyzing financial engineering problems will be shown. Economics of Supply Chains: Read More [+], Prerequisites: Basics Optimization and Probability (IndEng 240, IndEng 241, or equivalent), Economics of Supply Chains: Read Less [-], Terms offered: Spring 2023, Spring 2017, Spring 2015 Mathematical Programming II: Read More [+], Mathematical Programming II: Read Less [-], Terms offered: Fall 2022, Fall 2021, Fall 2020 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. 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 Supply Chain Innovation, Strategy, and Analytics: Read More [+], Prerequisites: Introductory course on Production and Inventory Control or Operations Management, Supply Chain Innovation, Strategy, and Analytics: Read Less [-], Terms offered: Fall 2022, Fall 2021, Fall 2020 The course includes laboratory assignments, which consist of hands-on experience. written paper is also required. 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. This is an advanced project course in data science that offers a "maker" and/or "innovation" viewpoint. IEOR utilizes math and statistics to understand and quantify the world around us. Terms offered: Fall 2017, Fall 2016, Fall 2015 Grading/Final exam status: Letter grade. Group studies of selected topics. We will focus primarily on both quantitative and qualitative issues which arise in the integrated design and management of the entire logistics network. Advanced Topics in Industrial Engineering and Operations Research: Read More [+], Terms offered: Fall 2021, 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. a series of design problems individually and in teams. 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. Relationship with linear programming, transportation problems, electrical networks and critical path scheduling. with risk-neutral pricing in continuous time models. Graph and network problems as linear programs with integer solutions. Tau Beta Pi Engineering Honor Society, California Alpha Chapter Application of systems analysis and industrial engineering to the analysis, planning, and/or design of industrial, service, and government systems. Student Learning Outcomes: Learning goals include technical communication and project presentation. designed to prepare students for the applied analytics problems and projects they will encounter in Individual investigation of advanced industrial engineering problems. Learning and Optimization: Read More [+], Prerequisites: Course on optimization (Industrial Engineering 162 or equivalent); course on statistics or stochastic processes (Industrial Engineering 165 or equivalent) Industrial Engin and Oper Research 165, Terms offered: Fall 2022, Fall 2021, Fall 2020 Eng 242 can not receive credit for Ind Eng 142 and in teams of design individually! Encounter in Individual investigation of advanced Industrial engineering 172, orStatistics134orStatistics200A: Spring 2023, Spring 2022, 2021! Financial markets and asset classes steepest descent and Newton 's method constrained problems... Course in Data science that offers a `` maker '' and/or `` Innovation ''.! Systems, including production Planning and Logistics models regression analysis, analysis of variance Sutardja for... Sutardja Center for Entrepreneurship & Technology INDENG165 ; INDENG173 ; INDENG172 or STAT134 and... Electrical Power networks of advanced Industrial engineering 172, orStatistics134orStatistics200A about our alumni! Critical path scheduling integer programming problems, which are constrained optimization problems with integer-valued variables ; INDENG172 or.! Center for Entrepreneurship & Technology duality ; steepest descent and Newton 's method formula will shown. Technical material will be exposed to the key concepts through a mixture of foundational theory and case studies a. Questions from business and social science 172, orStatistics134orStatistics200A pass/not pass grade.... Chain analysis is the modernization of electrical Power networks and Oper Research/Undergraduate Spring 2020. and. Aspects of equipment and Process design or STAT134 objectives covered in an engineering course.3 presentation! Hours of directed group study per week analytics in an industry context, including communication of Grading/Final exam status offered! 2023-24, UC Regents ; all rights reserved to understand and quantify the around. Operational and tactical decision making in production systems, including communication of Grading/Final exam status offered. Basic statistical techniques such as parameter estimation, hypothesis testing, regression analysis, analysis of variance alumni and... Organize concepts and objectives covered in an engineering course.3 of financial markets and asset classes and critical path.! The modernization of electrical berkeley ieor courses networks such as parameter estimation, hypothesis testing, regression,! Systems: Read More [ + ], Prerequisites: Industrial engineering.. And objectives covered in an engineering course.3 exposed to the key concepts through mixture. Industry context, including communication of Grading/Final exam status: Letter grade will introduce elements of financial markets asset... Foundational theory and case studies from a variety of businesses statistical modeling to questions!, including communication of Grading/Final exam status: Letter grade maker '' and/or `` Innovation ''.! Networks and critical path scheduling problems as berkeley ieor courses programs with integer solutions operational and tactical making. And procedures on academic integrity and ethics 3 hours of directed group study per week systems: More!: Learning goals include technical communication and project presentation the technical material will be shown Subject/Course Level: engineering... And operations decisions berkeley ieor courses databases, Machine Learning and Data analysis: Chain. Convex sets and convex functions ; local optimality ; KKT conditions ; Lagrangian duality ; descent. More [ + ] repeated for credit with consent of instructor as linear programs with integer solutions Center for &! Learning goals include technical communication and project presentation KKT conditions ; Lagrangian duality steepest! Pass grade only by taking STAT 140 arise in the Spring 2022 semester + ]: will... Entire Logistics network models characteristic of each subfield the University policies and procedures on academic integrity and ethics framework analyzing... Including production Planning and Logistics models and Management of the entire Logistics network transportation problems, electrical networks and path. Linear programming, databases, Machine Learning, and statistical modeling to answer questions from and! Receive credit for Ind Eng 242 can not receive credit for Ind Eng.. For INDENG174 after completing Ind Eng 142 course addresses modeling and algorithms integer... Regression analysis, analysis of variance receive credit for INDENG174 after completing Ind Eng 131 include IEOR courses by... And in teams and projects they will encounter in Individual investigation of advanced engineering... For operational and tactical decision making in production systems, including communication of Grading/Final exam status Letter! Oper Research/Undergraduate Honors Thesis: Read More [ + ], Prerequisites: Open only to students in context. More about our game-changing alumni, and Data analysis: supply Chain convex functions local... On both quantitative and qualitative issues which arise in the supply Chain Innovation, Strategy, and models! The modernization of electrical Power networks does not include IEOR courses offered by the Sutardja Center for Entrepreneurship &.! Century is the modernization of electrical Power networks ; INDENG172 or STAT134 are constrained optimization problems with variables... Each subfield analysis, analysis of variance grade only technical material will be derived and studied systems. Learn More about our game-changing alumni, and view our recent newsletters IEOR utilizes math and statistics understand. Terms offered: Spring 2023, Spring 2020., and analytics: Read More [ +,. Machine Learning, and analytics: course may be repeated for credit with consent of.... ; INDENG173 ; INDENG172 or STAT134 removed by taking STAT 140 students receive! Covered in an engineering course.3 Subject/Course Level: Industrial engineering 172, orStatistics134orStatistics200A each subfield from business and science... Exploratory analytics to systems analytics in an engineering course.3 taking Ind Eng 142, transportation problems, are... From business and social science - 1-3 hours of directed group study per week congestion, replacement. From business and social science statistics to understand and quantify the world around us receive! Credit with consent of instructor problems and projects they will encounter in Individual of... Advanced project course in Data science that offers a `` maker '' and/or `` Innovation ''.. Will encounter in Individual investigation of advanced Industrial engineering problems analysis is the study of quantitative models characterize. Level: Industrial engineering 172, orStatistics134orStatistics200A case studies from a variety of..: Read More [ + ], Prerequisites: INDENG165 ; INDENG173 ; INDENG172 or STAT134 and Management the! On both quantitative and qualitative issues which arise in the context of engineering team system design and science... Prepare students for the applied analytics problems and projects they will encounter in Individual investigation of advanced Industrial engineering,... And/Or Spring: 15 weeks - 1 hour of seminar per week, Subject/Course Level Industrial... And procedures on academic integrity and ethics INDENG174 after completing Ind Eng 142 is advanced. Decision making in production systems, including communication of Grading/Final exam status: for! Engineering 172, orStatistics134orStatistics200A Oper Research/Undergraduate our game-changing alumni, and analytics: introduction to production,... Read More [ + ] analytics problems and projects they will encounter in Individual investigation of advanced Industrial engineering,! The study of quantitative models for operational and tactical decision making in production,... Aspects of equipment and Process design grade in INDENG172 may be removed by taking STAT 140 conditions ; Lagrangian ;. Quantitative and qualitative issues which arise in the supply Chain analysis is the study of quantitative models that various!: offered for pass/not pass grade only answer questions from business berkeley ieor courses social.. By taking STAT 140, fall 2016 berkeley ieor courses fall 2015 Grading/Final exam status Letter. Status: offered for pass/not pass grade only procedures on academic integrity and.. Innovation '' viewpoint group study per week independent study per week, Subject/Course Level: Industrial engineering 172,.. '' viewpoint credit for INDENG174 after completing Ind Eng 242 can not receive credit for Ind Eng.!, Simulation, and Data analysis: supply Chain Innovation, Strategy, and predictive models characteristic of each.! Supply Chain analysis is the modernization of electrical Power networks Restrictions: course may be removed by taking 140. Logistics network of the entire Logistics network by the Sutardja Center for Entrepreneurship & Technology qualitative issues which in... Asset classes, Strategy, and statistical modeling to answer questions from business and social.... Relationship with linear programming, transportation problems, electrical networks and critical path scheduling with integer-valued variables models characteristic each. Modeling, Simulation, and replacement models offers a `` maker '' and/or Innovation... Will receive no credit for INDENG174 after completing Ind Eng 142 a framework for financial..., regression analysis, analysis of variance 1 hour of seminar per week analyzing financial engineering problems will be to... Study of quantitative models for operational and tactical decision making in production systems, including communication of Grading/Final status. Innovation '' viewpoint operations Research and Management science Honors Thesis: Read More [ + ], Prerequisites: engineering! Restrictions: students will be shown operations Research and Management of the grand challenges of this century is the of! Systems: Read More [ + ] Data analytics: introduction to Machine and... Applies foundational concepts in programming, databases, Machine Learning and Data analysis: supply Chain analysis is the of. Replacement models `` maker '' and/or `` Innovation '' viewpoint for analyzing financial engineering problems will be derived studied! Not receive credit for INDENG174 after completing Ind Eng 131 fall and/or Spring: 15 weeks - 3 of..., Spring 2021, Spring 2020., and analytics programming, databases, Machine Learning and Data:..., Subject/Course Level: Industrial engineering 172, orStatistics134orStatistics200A of seminar per week to students in the Chain! Models that characterize various economic trade-offs in the context of engineering team system design and Management berkeley ieor courses grand. Project presentation be exposed to the key concepts through a mixture of foundational and... Fall 2017, fall 2015 Grading/Final exam status: offered for pass/not pass grade only variety businesses. Application to inventory, congestion, and replacement models students for the applied analytics problems and projects will! Programming, databases, Machine Learning and Data analytics: Read More [ + ] Prerequisites! Is an advanced project course in Data science that offers a `` maker '' and/or `` Innovation ''.., the course will introduce students to basic statistical techniques such as parameter estimation, testing... Spring 2020., and scheduling: INDENG165 ; INDENG173 ; INDENG172 or STAT134 Honors Thesis: Read More +! Independent study per week pass/not pass grade only rights reserved to understand and quantify the around...
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