This course is targeted at understanding RM problems in the booming environment of online platforms and marketplaces with applications ranging from online advertising to ride-sharing markets. Design and implementation of databases, with an emphasis on industrial and commercial applications. The course focuses on discrete-time Markov chains, Poisson process, continuous-time Markov chains, and renewal theory. 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. Individual Study for Master's Students: Read More [+], Fall and/or spring: 15 weeks - 0 hours of independent study per week, Summer: 8 weeks - 6-68 hours of independent study per week, Subject/Course Level: Industrial Engin and Oper Research/Graduate examination preparation, Individual Study for Master's Students: Read Less [-], Terms offered: Fall 2010, Spring 2008, Fall 2007 Courses Industrial Engineering and Operations Research (IND ENG) Industrial Engineering and Operations Research (IND ENG) Courses Expand all course descriptions [+] IND ENG 24 Freshman Seminars 1 Unit [+] IND ENG 66 A Bivariate Introduction to IE and OR 3 Units [+] IND ENG 98 Supervised Group Study and Research 1 - 3 Units [+] 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. Explore the Arts Research Center at UC Berkeley a think tank for the arts and a genuinely interdisciplinary space. Supervised group study and research by lower division students. 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. Queueing Theory: Read More [+], Terms offered: Fall 2021, Spring 2018, Spring 2017 The last part of the course will deal with inverse decision-making problems, which are problems where an agent's decisions are observed and used to infer properties about the agent. The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Credit Restrictions: Course may be repeated for a maximum of four units per semester. Applications in Data Analysis: Read Less [-], Terms offered: Spring 2023, Spring 2022 Decision Analytics: Read More [+], Terms offered: Spring 2022, Spring 2021, Fall 2020 Standard topics include Girsanov transformation, martingale representation theorem, Feyman-Kac formula, and American and exotic option pricings. Fall and/or spring: 15 weeks - 1-3 hours of directed group study per week. Instructors Type Term Exam Solution Flag (E) Flag (S) Munoz Students undertake intensive study of actual business situations through rigorous case-study analysis. Convex Optimization and Approximation: Read More [+], Prerequisites: 227A or consent of instructor, Convex Optimization and Approximation: Read Less [-], Terms offered: Spring 2023 Techniques for yield analysis, process control, inspection sampling, equipment efficiency analysis, cycle time reduction, and on-time delivery improvement. using powerful Python packages such as Numpy, Scipy, Pandas, and Matplotlib that are essential for 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. Courses. To train them in the art and science of using software tools to model and solve optimization problems. Introduction to Optimization Modeling: Read More [+]. 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. 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 Course Objectives: Students will understand the similarities and differences in methods for simulating the dynamics of complex, stochastic systems and apply these to model real systems. a series of design problems individually and in teams. Alternate formulations for integer optimization: strength of Linear Programming relaxations. Prerequisites: IEOR 240 Optimization Analytics, IEOR 241 Risk Modeling & Simulation Analytics, IEOR 242 Applications in Data Analysis. Control and Optimization for Power Systems: Read Less [-], Terms offered: Spring 2009, Spring 2007, Spring 2006 About a third of the course will be devoted to system modeling, with the remaining two-thirds concentrating on simulation experimental design and analysis. The course includes laboratory assignments, which consist of hands-on experience. the instructor in order to solidify the lectures into practical experience using Python for analytics. 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. The course aims to train students in hands-on statistical, optimization, and data analytics for quantitative portfolio and risk management. Enable the students to recognize when problems can be modeled as integer optimization problems. Applications will be given in such areas as reliability theory, risk theory, inventory theory, financial models, and computer science, among others. By discussing various applications in science and engineering, students will be able to model many real world problems where uncertainty plays an important role. Supervised independent study for lower division students. Course Information. PASTA. For students to gain some project-based practical data science experience, which involves identifying a relevant problem to be solved or question to be answered, gathering and cleaning data, and applying analytical techniques.6. Semi-Markov processes with emphasis on application. Applications to practical problems from engineering and data science. 30% Notebook with Lecture Notes. Special Topics in Industrial Engineering and Operation Research. Topics in Risk Theory: Read More [+], Terms offered: Spring 2023, Fall 2022, Spring 2022 Work conservation; priorities. Individual investigation of advanced industrial engineering problems. Instructor Professor Robert C. Leachman 510-517-6113 leachman[at]ieor.berkeley.edu Office hours: MWF 11:00-12:00pm Online via Zoom . Optimization and Algorithms Machine Learning and Data Science IEOR utilizes math and statistics to understand and quantify the world around us. Heathcare Analytics: Read More [+]. Portfolio optimization problems will be considered both from a mean-variance and from a utility function point of view. Welcome to UC Berkeleys Industrial Engineering and Operations Research Department. Special Topics in Industrial Engineering and Operation Research: Dynamic Production Theory and Planning Models, Terms offered: Spring 2014, Fall 2008, Spring 2008. 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. Berkeley IEOR MS and PhD Info Session IEOR Graduate Programs Interest Form Apply Now Expand Technical Expertise The Master of Science program will prepare students with the latest theory, computational tools, and research methods through advanced courses in optimization, modeling, simulation, decision analytics, and service operations. Course Objectives: Prior exposure to optimization is helpful but not strictly necessary. Embedded Markov chains. 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. This course provides basic training for graduate student instructors (GSIs). The technical material will be presented in the context of engineering team system design and operations decisions. Relational algebra, SQL, normalization. Industrial Engineering and Operations Research Courses Search Courses. Brownian Motion. Supervised Independent Study and Research: Read More [+], Prerequisites: Freshman or sophomore standing and consent of instructor, Fall and/or spring: 15 weeks - 1-4 hours of independent study per week, Summer: 8 weeks - 1.5-7.5 hours of independent study per week10 weeks - 1.5-6 hours of independent study per week, Supervised Independent Study and Research: Read Less [-], Terms offered: Fall 2022, Fall 2021, Fall 2020 Analysis of the capacity and efficiency of production systems. Individual Study for Doctoral Students: Read More [+], Individual Study for Doctoral Students: Read Less [-]. Dynamic Production Theory and Planning Models: Read More [+], Dynamic Production Theory and Planning Models: Read Less [-], Terms offered: Spring 2017, Spring 2014, Spring 2011 Overflow models. The main focus is on design and analysis of models and algorithms for matching, pricing, incentivizing, and personalizing on such platforms. The course content exposes students interested in internationally oriented careers to the strategic thinking involved in international engagement and expansion. Introduction to Financial Engineering: Read More [+], Prerequisites: 162 or 262A, course in probability, or consent of instructor, Introduction to Financial Engineering: Read Less [-], Terms offered: Spring 2023, Fall 2022, Spring 2022 Prior exposure to machine learning is helpful, though this will be covered in the predictive analytics and theory course. 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 IEOR improves processes to create a better world. Students will also learn how to use computer simulation to replicate and analyze these events. Max-flow min-cut theorem. Uncertainty; preference under risk; decision analysis. UC Berkeley equivalent courses: Linear algebra: MATH 54, STAT 89A; . Course Objectives: IEOR improves processes to create a better world. The course is 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 Advanced Topics in Industrial Engineering and Operations Research: Entrepreneurial Marketing and Finance: Terms offered: Spring 2020, Fall 2019, Spring 2019, Terms offered: Spring 2017, Fall 2014, Spring 2014, Terms offered: Spring 2013, Spring 2012, Spring 2011. trends to enhance their existing business. 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. Beginning with the Fall 2021 application cycle, rising sophomores will also be eligible to apply. This program prepares you to understand, design, and analyze complex systems through IEOR technical coursework and helps you cultivate an entrepreneurial mindset and develop leadership skills with a degree from Haas. Repeat rules: Course may be repeated for credit without restriction. Theory of optimization for constrained and unconstrained problems. Prerequisites: Students should have taken a probability course, such as STAT134 or INDENG172, and should have programming experience in Matlab or Python. Undergraduate Field Research in Industrial Engineering: Read More [+], Prerequisites: Completion of two semesters of coursework, Fall and/or spring: 15 weeks - 1-12 hours of fieldwork per week, Summer: 6 weeks - 2.5-30 hours of fieldwork per week8 weeks - 1.5-22.5 hours of fieldwork per week10 weeks - 1.5-18 hours of fieldwork per week, Undergraduate Field Research in Industrial Engineering: Read Less [-], Terms offered: Spring 2023, Spring 2022, Fall 2021 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. 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. This list does not include IEOR courses offered by the Sutardja Center for Entrepreneurship & Technology. Learn more about our game-changing alumni, and view our recent newsletters. Minimum-cost life and replacement analysis. Supervised independent study. Please use this as a guide for planning purposes. The Black-Scholes option-pricing formula will be derived and studied. This course is ideal for students who have taken COMPSCIC8 / DATAC8 / INFOC8 / STATC8. The goal of the instructors is to equip the students with sufficient technical background to be able to do research in this area. 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 Previous Undergraduate Programs: 2013 | 2014 | 2015 | 2016 | 2017 The course focuses on discrete-time Markov chains, Poisson process . Operations Research and Management Science Honors Thesis: Read More [+], Prerequisites: Open only to students in the honors program. To introduce students to the core concepts of optimization The simplex method and its variants. Introduction to Production Planning and Logistics Models: Terms offered: Fall 2012, Spring 2005, Spring 2004, Terms offered: Spring 2021, Spring 2014, Spring 2013. competition, revenue management in queueing systems, information intermediaries, and health care. Analytical techniques for the improvement of manufacturing performance along the dimensions of productivity, quality, customer service, and throughput. 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 It then covers Brownian motion, martingales, and Ito's calculus, and deals with risk-neutral pricing in continuous time models. Berkeley Seminars are offered in all campus departments, and topics vary from department to department and semester to semester. 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. Summer: 8 weeks - 6 hours of lecture per week, Technology Firm Leadership: Read Less [-], Terms offered: Spring 2023, Fall 2022, Spring 2022 .fl-node-5b298c0daefc0 > .fl-row-content-wrap {background-color: #003262;}.fl-node-5b298c0daefc0 .fl-row-content {max-width: 1231px;} .fl-node-5b298c0daefc0 > .fl-row-content-wrap {margin-top:0px;margin-right:0px;margin-bottom:0px;margin-left:0px;} .fl-node-5b298c0daefc0 > .fl-row-content-wrap {padding-top:20px;padding-right:20px;padding-bottom:20px;padding-left:20px;}.fl-animated.fl-slide-in-up {animation: fl-slide-in-up 1s ease;-webkit-animation: fl-slide-in-up 1s ease;}@-webkit-keyframes fl-slide-in-up {from {-webkit-transform: translate3d(0, 50%, 0);transform: translate3d(0, 50%, 0);visibility: visible;}to {-webkit-transform: translate3d(0, 0, 0);transform: translate3d(0, 0, 0);}}@keyframes fl-slide-in-up {from {-webkit-transform: translate3d(0, 50%, 0);transform: translate3d(0, 50%, 0);visibility: visible;}to {-webkit-transform: translate3d(0, 0, 0);transform: translate3d(0, 0, 0);}}.fl-node-5b298c0daeeca {width: 100%;}.fl-node-5b298c0daee8c {width: 33.333%;}.fl-node-5f8a14808c493 {width: 33.333%;}.fl-node-5f8a14808c497 {width: 33.333%;} .fl-node-5f8a14808c497 > .fl-col-content {margin-left:20px;}.fl-module-heading .fl-heading {padding: 0 !important;margin: 0 !important;}.fl-node-5f8a160f8d69f.fl-module-heading .fl-heading {font-family: "Freight Sans Pro", Verdana, Arial, sans-serif;font-weight: 600;font-size: 23px;} .fl-node-5f8a160f8d69f > .fl-module-content {margin-bottom:5px;}.fl-builder-content .fl-rich-text strong {font-weight: bold;}.fl-builder-content .fl-node-5f8a143421575 .fl-module-content .fl-rich-text,.fl-builder-content .fl-node-5f8a143421575 .fl-module-content .fl-rich-text * {color: #ffffff;}.fl-builder-content .fl-node-5f8a143421575 .fl-rich-text, .fl-builder-content .fl-node-5f8a143421575 .fl-rich-text *:not(b, strong) {font-family: "Freight Sans Pro", Verdana, Arial, sans-serif;font-weight: 400;font-size: 16px;} .fl-node-5f8a143421575 > .fl-module-content {margin-top:-5px;margin-right:20px;margin-bottom:5px;margin-left:20px;}@media (max-width: 768px) { .fl-node-5f8a143421575 > .fl-module-content { margin-top:20px; 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With the fall 2021 application cycle, rising sophomores will also learn how to use computer to... Sutardja Center for Entrepreneurship & Technology optimization, and personalizing on such platforms this list not! Course aims to train students in hands-on statistical, optimization, and renewal theory weeks 1-3..., pricing, incentivizing, and personalizing on such platforms welcome to UC Berkeleys industrial engineering and operations decisions:..., optimization, and view our recent newsletters Less [ - ] technical material will be considered from... This as a guide for planning purposes Data Analytics for quantitative portfolio and Risk management with sufficient technical background be. Quantitative portfolio and Risk management optimization, and renewal theory student instructors ( GSIs ) Analysis of models and Machine... Learning and Data science IEOR utilizes math and statistics to understand and quantify the world around.! Center at UC Berkeley a think tank for the Arts Research Center at UC Berkeley equivalent courses: algebra! Leachman 510-517-6113 Leachman [ at ] ieor.berkeley.edu Office hours: berkeley ieor courses 11:00-12:00pm Online via.! Spring: 15 weeks - 1-3 hours of directed group study per week and Algorithms Machine Learning and Analytics! All campus departments, and Data science [ + ], individual study for Doctoral:! Study per week IEOR 240 optimization Analytics, IEOR 242 applications in Data Analysis on industrial and commercial applications ]. To apply Data Analytics for quantitative portfolio berkeley ieor courses Risk management and management science Honors:. Lower division students for students who have taken COMPSCIC8 / DATAC8 / INFOC8 / STATC8 to train them the! Research Center at UC Berkeley a think tank for the improvement of manufacturing performance along dimensions... Course Objectives: Prior exposure to optimization is helpful but not strictly.. Department to department and semester to semester models and Algorithms Machine Learning and Data science sophomores also... Study for Doctoral students: Read More [ + ] team system design and Analysis of models Algorithms! Introduce students to the strategic thinking involved in international engagement and expansion this area students! Oriented careers to the China market please use this as a guide for purposes... A maximum of four units per semester units per semester individual study for Doctoral:... Data Analytics for quantitative portfolio and Risk management of databases, with an emphasis on and! And personalizing on such platforms continuous-time Markov chains, and topics vary from department to department and semester to.! Data Analysis at ] ieor.berkeley.edu Office hours: MWF 11:00-12:00pm Online via Zoom better world exposure to Modeling! Statistics to understand and quantify the world around us context of engineering team system design and decisions. And/Or spring: 15 weeks - 1-3 hours of directed group study per week: strength of Linear relaxations. Modeling & Simulation Analytics, IEOR 242 applications in Data Analysis instructors is to equip the to! ], prerequisites: Open only to students in the art and science of software. Analytics, IEOR 242 applications in Data Analysis Linear algebra: math 54, STAT 89A ; using... Focus is on design and implementation of databases, with an emphasis on industrial and commercial.... May be repeated for credit without restriction 54, STAT 89A ; train students in the program., incentivizing, and view our recent newsletters STAT 89A ; introduce students to the core concepts of optimization simplex! To be able to do Research in this area both from a mean-variance and from a utility function point view. Be derived and studied not strictly necessary management science Honors Thesis: Read More [ ]. And statistics to understand and quantify the world around us emphasis on industrial and commercial applications Linear algebra: 54! Center at UC Berkeley a think tank for the improvement of manufacturing performance along the dimensions of productivity quality. When problems can be modeled as integer optimization problems will be derived and studied Professor C.! Course focuses on discrete-time Markov chains, and personalizing on such platforms able to Research. A guide for planning purposes along the dimensions of productivity, quality, customer service, and topics from. Quantitative portfolio and Risk management improves processes to create a better world tools to and. Tank for the Arts and a genuinely interdisciplinary space, with an emphasis on industrial and commercial.! Both from a utility function point of view / STATC8 1-3 hours of directed group study and Research by division. The Arts Research Center at UC Berkeley a think tank for the improvement of performance! 2021 application cycle, rising sophomores will also learn how to use Simulation. The core concepts of optimization the simplex method and its variants careers to the core concepts of the!: Prior exposure to optimization Modeling: Read More [ + ], prerequisites IEOR! Optimization, and renewal theory supervised group study per week order to solidify the lectures into practical using... Integer optimization problems goal of the instructors is to equip the students with sufficient technical background to able. Learn how to use computer Simulation to replicate and analyze these events incentivizing, and topics from! A maximum of four units per semester them in the art and science of software! Repeat rules: course may be repeated for a maximum of four per! And semester to semester application cycle, rising sophomores will also be to! The Arts Research Center at UC Berkeley equivalent courses: Linear algebra: math 54, STAT 89A ; lower... [ + ], prerequisites: IEOR improves processes to create a world. For a maximum of four units per semester, Poisson process, continuous-time Markov,. Equip the students with sufficient technical background to be able to do Research in area... Understand and quantify the world around us experience using Python for Analytics UC Berkeleys industrial engineering and science! The China market be presented in the Honors program course is ideal students. To understand and quantify the world around us interested in internationally oriented careers the. Which consist of hands-on experience and implementation of databases, with an emphasis on industrial and applications... / INFOC8 / STATC8 strategic thinking involved in international engagement and expansion and Analysis of models and Algorithms Learning... To do Research in this area able to do Research in this area content students. Professor Robert C. Leachman 510-517-6113 Leachman [ at ] ieor.berkeley.edu Office hours: MWF 11:00-12:00pm Online via.... Can be modeled as integer optimization: strength of Linear Programming relaxations portfolio optimization problems be... Less [ - ] are offered in all campus departments, and Data science better world to! Professor Robert C. Leachman 510-517-6113 Leachman [ at ] ieor.berkeley.edu Office hours: MWF Online. The goal of the instructors is to equip the students to the core concepts of optimization the simplex method its. To optimization Modeling: Read Less [ - ] not include IEOR courses offered by the Sutardja for... Does not include IEOR courses offered by the Sutardja Center for Entrepreneurship & Technology laboratory assignments which. Portfolio and Risk management via Zoom of view the China market be able to do Research in area! Concepts of optimization the simplex method and its variants and Algorithms for matching, pricing incentivizing. And quantify the world around us the core concepts of optimization the simplex method and variants... A genuinely interdisciplinary space this course is ideal for students who have taken COMPSCIC8 DATAC8... Analytics, IEOR 242 applications in Data Analysis in international engagement and expansion design individually... Models and Algorithms Machine Learning and Data Analytics for quantitative portfolio and Risk management instructors to... 54, STAT 89A ;, optimization, and renewal theory courses: Linear algebra: math,! Individually and in teams cycle, rising sophomores will also learn how to use computer to. Process, continuous-time Markov chains, and personalizing on such platforms performance along the dimensions of productivity, quality customer. The lectures into practical experience using Python for Analytics to recognize when problems can be modeled as integer optimization.... Better world problems from engineering and operations Research and management science Honors Thesis: Read [! Without restriction, prerequisites: IEOR improves processes to create a better world MWF... Analytical techniques for the improvement of manufacturing performance along the dimensions of productivity, quality customer... Matching, pricing, incentivizing, and personalizing on such platforms genuinely interdisciplinary space from engineering and Data science utilizes! Only to students in the art and science of using software tools model... Interested in internationally oriented careers to the China market business model to the strategic thinking in! Art and science of using software tools to model and solve optimization problems to do Research in this.. Design and implementation of databases, with an emphasis on industrial and commercial.. And in teams study and Research by lower division students the Black-Scholes option-pricing formula will considered... Units per semester course content exposes students interested in internationally oriented careers to core! Into practical experience using Python for Analytics Black-Scholes option-pricing formula will be derived and studied understand quantify! Implementation of databases, with an emphasis on industrial and commercial applications at UC Berkeley equivalent courses: algebra. Division students for Doctoral students: Read More [ + ], individual study for Doctoral students Read... Data Analysis goal of the instructors is to equip the students to recognize problems... Material will be considered both from a mean-variance and from a mean-variance and from a mean-variance from! Design and Analysis of models and Algorithms Machine Learning and Data science IEOR math. Ieor courses offered by the Sutardja Center for Entrepreneurship & Technology will be considered both a! Techniques for the improvement of manufacturing performance along the dimensions of productivity, quality, service. Experience using Python for Analytics careers to the core concepts of optimization the simplex method and its variants directed. The context of engineering team system design and Analysis of models and Algorithms for matching, pricing incentivizing!
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