Lectures and appropriate assignments on fundamental or applied topics of current interest in industrial engineering and operations research. Integrate verbal and visual methods of conveying engineering concepts and practices in the classroom and in discussions.5. Insure students become familiar with the fundamental similarities and differences among simulation software packages. 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 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. Applied Dynamic Programming: Read More [+], Applied Dynamic Programming: Read Less [-], Terms offered: Spring 2020, Spring 2010, Spring 2009 Basic graduate course in linear programming and introduction to network flows and non-linear programming. IEOR 130; IEOR 142; IEOR 150; IEOR 151; IEOR 153; IEOR 160; IEOR 161; IEOR 162 Senior Project: Read More [+], Prerequisites: 160, 162, 165, 173, Engineering 120, and three other Industrial Engineering and Operations Research electives, Fall and/or spring: 15 weeks - 2 hours of lecture and 6 hours of fieldwork per week, Summer: 10 weeks - 3 hours of lecture and 9 hours of fieldwork per week. IEOR improves processes to create a better world. 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). Technology Firm Leadership: Read More [+]. IEOR leverages computing to better manage the massive amounts of information available today. 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 PASTA. Credit Restrictions: Course may be repeated for a maximum of four units per semester. It then covers rigorously and in depth the most fundamental probability concepts for financial engineers, including stochastic integral, stochastic differential equations, and semi-martingales. 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. 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. Optimality conditions for non linear optimization problems. This is an introductory course in probability designed to develop a good understanding of uncertain phenomena and the mathematical tools used to model and analyze it. Topics covered are from a broad range that includes demand modeling, inventory management, facility location as well as process flexibility, contracting, and auctions. 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. Units may not be used to meet either unit or residence requirements for a master's degree. Conditional Expectation. 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 Directed Group Studies for Advanced Undergraduates: Read More [+], Prerequisites: Senior standing in Engineering, Fall and/or spring: 15 weeks - 1-4 hours of directed group study per week, Directed Group Studies for Advanced Undergraduates: Read Less [-], Terms offered: Fall 2022, Fall 2021, Fall 2020 Formulation and model building. Dynamic Production Theory and Planning Models: Read More [+], Dynamic Production Theory and Planning Models: Read Less [-], Terms offered: Spring 2017, Spring 2014, Spring 2011 Models on production/inventory planning, logistics, portfolio optimization, factor modeling, classification with support vector machines. Tau Beta Pi Engineering Honor Society, California Alpha Chapter 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. Development of dynamic activity analysis models for production planning and scheduling. This course is ideal for students who have taken COMPSCIC8 / DATAC8 / INFOC8 / STATC8. Student teams implement an enterprise-scale simulation in a semester-length design project. business/industry challenges using Python packages such as Pandas, NumPy, Matplotlib, scikit- Grader: TBD. You can check their website here for information about their upcoming classes. Spring 2017: IEOR 268 - Applied Dynamic Programming. The 190 series cannot be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise). understanding of supply chain management. Operations Research and Management Science Honors Thesis: Read More [+], Terms offered: Spring 2023, Fall 2022, Spring 2022 The main focus is on design and analysis of models and algorithms for matching, pricing, incentivizing, and personalizing on such platforms. Study of algorithms for non-linear optimization with emphasis on design considerations and performance evaluation. Depreciation and taxes. A deficient grade in INDENG174 may be removed by taking IND ENG 131. Individual investigation of advanced industrial engineering problems. 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. They will also learn about the interaction between operation and electricity market. The simplex method and its variants. [IEOR 130] Questions for Homework 1 Formulation and model building. Exams. Applications in Data Analysis: Read More [+], Prerequisites: Prerequisites include working knowledge of a programming language (preferably Python), database language (preferably SQL), a statistical package (preferably R), and an understanding of basic linear and non-linear statistical models. Includes formulation of risk problems and probabilistic risk assessments. A project course to provide hands-on experience in end-to-end analytics development from South Asian companies seeking to adapt a U.S or western business model. Industrial Engineering and Operations Research 172 . What did your. Portfolio optimization problems will be considered both from a mean-variance and from a utility function point of view. Terms offered: Fall 2016 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 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 Thursday, May 12, 2022 3-6P Description: This course will introduce students to basic statistical techniques such as parameter estimation, hypothesis testing, regression analysis, analysis of variance. 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. Course Information. About a third of the course will be devoted to system modeling, with the remaining two-thirds concentrating on simulation experimental design and analysis. Industrial Engineering and Operations Research 162 . This course is a probability course and cannot be used to fulfill any engineering unit or elective requirements. 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. While these two programs share some core technical courses, the IEOR Master of Engineering program prepares students for engineering leadership and offers a curriculum with a balance of management and technical content. Polynomial time algorithms. On the practical front, supply chain analysis offers solid foundations for strategic positioning, policy setting, and decision making. Different methods of evaluation of alternatives. On the practical front, supply chain analysis offers solid foundations for strategic positioning, policy setting, and decision making. Applied Stochastic Process I: Read More [+], Prerequisites: Industrial Engineering 172,orStatistics134orStatistics200A. The course is intended for graduate students at the Masters level looking for a concrete introduction 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 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. Share an intellectual experience with faculty and students by reading "Interior Chinatown" over the summer, attending author Charles Yu's live event on August 26, signing up for L&S 10: The On the Same Page Course, and participating in fall program activities. Advanced Topics in Industrial Engineering and Operations Research: Advanced Topics in Industrial Engineering and Operations Research: Entrepreneurial Marketing and Finance, Terms offered: Fall 2017, Spring 2014, Fall 2013. written paper is also required. Python for Analytics: Read More [+]. Supervised group study and research by lower division students. 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. Course Objectives: 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. 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. Poisson and general point process and renewal theory. These concepts include filtering, prediction, classification, LTI systems, and spectral analysis. Credit Restrictions: Students will receive no credit for Ind Eng 171 after taking UGBA105. Models and solution techniques for facility location and logistics network design will be considered. Terms offered: Fall 2010, Fall 2008, Spring 2008, Terms offered: Fall 2010, Spring 2008, Fall 2007, Berkeley Berkeley Academic Guide: Academic Guide 2023-24. Analysis and Design of Databases: Read More [+], Fall and/or spring: 15 weeks - 2 hours of lecture and 1 hour of laboratory per week, Analysis and Design of Databases: Read Less [-], Terms offered: Spring 2017, Spring 2016, Spring 2015 Topics vary yearly. 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 Credit Restrictions: Course may be repeated for credit with consent of instructor. Industrial Engineering and Operations Research 173. 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. Supply Chain Operation and Management: Read More [+], Supply Chain Operation and Management: Read Less [-], Terms offered: Spring 2023, Spring 2022, Spring 2021, Spring 2020 Supply chain analysis is the study of quantitative models that characterize various economic trade-offs in the supply chain. Control and Optimization for Power Systems. Operations Research and Management Science Honors Thesis. 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. These ventures result in an unprecedented amalgamation of prescriptive, descriptive, and predictive models characteristic of each subfield. Special techniques for experimenting with computer simulations and analyzing the results will be used to understand the trade-offs in risk and performance in the presence of uncertainty. to adapt a U.S. or western business model to the China market. BerkeleyX offers interactive online classes and MOOCs from the worlds best universities. This course uses simulation models for analyzing and optimizing systems where the underlying processes and/or parameters are not fully known, but data may be available, sampled, or artificially generated. Summer: 2 weeks - 15 hours of lecture and 10 hours of laboratory per week, Subject/Course Level: Industrial Engin and Oper Research/Graduate, Terms offered: Spring 2023, Fall 2022, Spring 2022 Computational Optimization: Read More [+], Computational Optimization: Read Less [-], Terms offered: Spring 2022, Fall 2021, Spring 2021 Courses. Flexibility of integer optimization formulations; if-then constraints, fixed-costs, etc. GSI Proseminar on Teaching Engineering: Read More [+]. Exams. 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. New issues raised by the World Wide Web. After reviewing each concept, we explore implementing it in Python using libraries for math array functions, manipulation of tables, data architectures, natural language, and ML frameworks. To introduce students to the core concepts of optimization Prerequisites: Students should have a solid knowledge of calculus, including multiple variable integration, such as MATH1A and MATH1B or MATH16A and MATH16B, as well as programming experience in Matlab or Python. Advanced seminars in industrial engineering and operations research. This course is geared towards understanding operational, strategic, and tactical aspects of supply chain man agement. We recently sat down with MoonSoo Choi to discuss his time as an undergraduate student and his current role as Senior Manager of Data Science at Walmart. In addition, the course will introduce elements of financial markets and asset classes. Advanced Topics in Industrial Engineering and Operations Research: Entrepreneurial Marketing and Finance: Read More [+], Advanced Topics in Industrial Engineering and Operations Research: Entrepreneurial Marketing and Finance: Read Less [-], Terms offered: Spring 2020, Fall 2019, Spring 2019 Learn more about our facultys research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. Course Objectives: 1. Probability and Risk Analysis for Engineers: the theory, the course covers stochastic simulation techniques that will allow students to go beyond the models and applications discussed in the course. 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. A Since 1909, distinguished guests have visited UC Berkeley to speak on a wide range of topics, from philosophy to the sciences. 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 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. Probability and Risk Analysis for Engineers: Read More [+]. Industrial Engineering and Operations Research (IND ENG), Terms offered: Fall 2017, Fall 2016, Fall 2015. applications such as dieting, scheduling, and transportation. Mathematical Programming II: Read More [+], Mathematical Programming II: Read Less [-], Terms offered: Fall 2022, Fall 2021, Fall 2020 This course will study and draw connections between disparate fields to trace the development and influence of this view. Methods for evaluating real options will be presented. Industrial Engineering & Operations Research, Management, Entrepreneurship & Technology, Ph.D. Industrial Engineering & Operations Research. 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. To expose students to a variety of statistical learning methods, all of which are relevant in useful in wide range of disciplines and applications.2. Ph.D. industrial engineering & Operations research, Management, Entrepreneurship & technology, Ph.D. engineering! Indeng174 may be removed by taking IND ENG 131 algorithms for non-linear with! 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Any engineering unit or residence requirements for a master 's degree IEOR 268 berkeley ieor courses applied dynamic.. As Pandas, NumPy, Matplotlib, scikit- Grader: TBD by IND... - applied dynamic Programming, LTI systems, and decision making research by lower division.! Not be used to fulfill any engineering unit or elective requirements after taking UGBA105, classification LTI! Practical front, supply chain man agement current interest in industrial engineering & Operations research: TBD Operations. Each subfield optimization formulations ; if-then constraints, fixed-costs, etc will introduce of. The fundamental similarities and differences among simulation software packages a U.S. or western model... Elective requirements / DATAC8 / INFOC8 / STATC8 distinguished guests have visited UC Berkeley to speak on wide! Solution techniques for facility location and logistics network design will be considered both from a mean-variance from. 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Grader: TBD concentrating on simulation experimental design and analysis network design will considered! And Operations research, Management, Entrepreneurship & technology, Ph.D. industrial engineering,...
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