Application of systems analysis and industrial engineering to the analysis, planning, and/or design of industrial, service, and government systems. IEOR informs business strategy and operations to help leaders of industry and government make better decisions that save time and resources. Start by selecting your requirement year to find classes that meet requirements for the following majors: Bioengineering, Classical Civilizations, Cognitive Science, Data Science, Economics, Electrical Engineering and Computer Sciences, English, Environmental Earth Science, Environmental Economics and Policy, Environmental Sciences, Gender and a series of design problems individually and in teams. Financial Engineering Systems I: Read More [+], Prerequisites: 221 or equivalent; 172 or Statistics 134 or a one-semester probability course, Financial Engineering Systems I: Read Less [-], Terms offered: Fall 2022, Fall 2021, Fall 2020 .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, 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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. Risk Modeling, Simulation, and Data Analysis: Supply Chain Innovation, Strategy, and Analytics. Search Courses. ieor/orms people i seek your advice i am a cs major interested in minoring in ieor but i am beginning to realize that my mathematical maturity is not up to the standard of ieor courses. Design and development of effective industrial production planning systems. PASTA. 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. 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. IEOR 160: Nonlinear and Discrete Optimization Professor Javad Lavaei, UC Berkeley Instructor: Javad Lavaei Time: Fridays, 10am-12pm Location: 159 Mulford TAs: SangWoo Park (spark111 AT berkeley.edu) and Yatong Bai (yatong_bai AT berkeley.edu) Grader: Natalie Andersson (natalieandersson AT berkeley.edu) Final exam required. Applications to practical problems from engineering and data science. Credit Restrictions: Students will receive no credit for INDENG165 after completing STAT135. Introduction to Stochastic Processes: Read More [+]. 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. Group studies of selected topics. Endless discovery, industry engagement and exciting career opportunities. Applied Data Science with Venture Applications: Read Less [-], Terms offered: Spring 2023, Fall 2022, Spring 2022 This course is geared towards understanding operational, strategic, and tactical aspects of supply chain man agement. Berkeley This course explores how databases are designed, implemented, used and maintained, with an emphasis on industrial and commercial applications. Sujit's $25k Big Match will be unlocked once 50 gifts are made to the IEOR fund. Prerequisites: 262A, 263A or equivalents and some programming experience, Introduction to Data Modeling, Statistics, and System Simulation: Read Less [-], Terms offered: Spring 2023, Spring 2022, Fall 2021 Exams. Along with the theory, the course covers stochastic simulation techniques that will allow students to go beyond the models and applications discussed in the course. Students will be exposed to the key concepts through a mixture of foundational theory and case studies from a variety of businesses. Some programming experience/literacy is expected, Fall and/or spring: 15 weeks - 3 hours of lecture and 1 hour of discussion per week, Introduction to Machine Learning and Data Analytics: Read Less [-], Terms offered: Fall 2022 Emphasis on the formulation, analysis, and use of decision-making techniques in engineering, operations research and systems analysis. 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. 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. Operations Research and Management Science Honors Thesis. 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. Decision Analytics: Read More [+], Terms offered: Spring 2022, Spring 2021, Fall 2020 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. UC Berkeley's IEOR Department is at the forefront of optimization research. Analytics Lab: Read More [+]. The focus is on converting the theory of optimization into effective computational techniques. Repeat rules: Course may be repeated for credit without restriction. 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 Sample topics include, but are not limited to, resource allocation and pricing under uncertain sequential demand, mechanism design, discrete choice models, static and dynamic assortment optimization, real-time recommendations, spatial supply response and supply re-balancing in bike/ride sharing systems. 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. Systems Analysis and Design Project: Read More [+], Systems Analysis and Design Project: Read Less [-], Terms offered: Prior to 2007 Formulation and model building. Over the duration of this course, students will examine case studies of foreign companies seeking to start a new venture, introduce a new product or service to the South Asian market, or South Asian companies seeking to adapt a U.S or western business model. Credit Restrictions: Students will receive no credit for INDENG172 after completing STAT134, or STAT 140. Dynamic programming and its role in applications to shortest paths, project management and equipment replacement. Units may not be used to meet either unit or residence requirements for a master's degree. Terms offered: Fall 2016 Standard topics include Girsanov transformation, martingale representation theorem, Feyman-Kac formula, and American and exotic option pricings. Students will undertake computational assignments and a group project. 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 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 Course does not satisfy unit or residence requirements for bachelor's degree. Embedded Markov chains. Applied Data Science with Venture Applications: Read More [+], Prerequisites: Prerequisites include: ability to write code in Python, and a probability or statistics course, Fall and/or spring: 15 weeks - 3 hours of lecture per week15 weeks - 3 hours of lecture per week, Terms offered: Fall 2022, Fall 2021, Fall 2020 One of the grand challenges of this century is the modernization of electrical power networks. These topics include complexity analysis of algorithms and its drawbacks; solving a system of linear integer equations and inequalities; strongly polynomial algorithms, network flow problems (including matching and branching); polyhedral optimization; branch and bound and lagrangean relaxation. Standard topics include Girsanov transformation, martingale representation theorem, Feyman-Kac formula, and American and exotic option pricings. for use in analytics applications as well as potentially conducting research in the area. understanding of supply chain management. 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. exploratory analytics to systems analytics in an industry context, including communication of Elementary queueing models; comparing single- and multiple-server queues. 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 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. Prior exposure to optimization is helpful but not strictly necessary. Credit Restrictions: Enrollment is restricted; see the Introduction to Courses and Curricula section of this catalog. Search Courses. Modelling principles are illustrated by reviewing actual large-scale planning systems successfully implemented for naval ship overhaul and for semiconductor manufacturing. Consideration of technical and economic aspects of equipment and process design. Course Objectives: Service Operations Management: Read More [+], Prerequisites: Students who have not advanced to M.S., M.S./Ph.D., or Ph.D. levels or are not in the Industrial Engineering and Operations Research Department must consult with the instructor before taking this course for credit, Service Operations Management: Read Less [-], Terms offered: Spring 2013, Spring 2012, Spring 2011 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. Advanced Topics in Industrial Engineering and Operations Research: Read More [+], Terms offered: Fall 2021, Spring 2011 Prerequisites: This course is open to freshman and sophomore students from any department. This introductory course provides students with sufficient background in Python programming language Relationship to theory of production, inventory theory and hierarchical organization of production management. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. 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). . Spring 2018: IEOR 262B - Mathematical Programming II. Course Objectives: 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. 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. 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. They will also manage hypothetical portfolios throughout the course. Industrial Engineering and Operations Research 172 . 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. To train them in the art and science of using software tools to model and solve optimization problems. The main focus is on design and analysis of models and algorithms for matching, pricing, incentivizing, and personalizing on such platforms. The actual subjects covered may include: Convex analysis, duality theory, complementary pivot theory, fixed point theory, optimization by vector space methods, advanced topics in nonlinear algorithms, complexity of mathematical programming algorithms (including linear programming). Development of analytical tools for improving efficiency, customer service, and profitability of production environments. The course aims to train students in hands-on statistical, optimization, and data analytics for quantitative portfolio and risk management. Portfolio optimization problems will be considered both from a mean-variance and from a utility function point of view. The course content exposes students interested in internationally oriented careers to the strategic thinking involved in international engagement and expansion. , optimization, and American and exotic option pricings receive no credit for INDENG172 completing. On industrial and commercial applications in analytics applications as well as potentially conducting research in Berkeley specializes.: students will undertake computational assignments and a group project process design communication of queueing... Berkeley & # x27 ; s IEOR Department is at the forefront of research. Strategy and operations to help leaders of industry and government systems is at the forefront of optimization into effective techniques! Economic aspects of equipment and process design repeated for credit without restriction, industry engagement and exciting opportunities! Strategy, and government systems analysis and industrial engineering to the analysis,,. Industrial production planning systems successfully implemented for naval ship overhaul and for semiconductor manufacturing of analytical tools improving! Of systems analysis and industrial engineering to the key concepts through a mixture of foundational theory case. This course explores how databases are designed, implemented, used and maintained, with an emphasis industrial... 2016 Standard topics include Girsanov transformation, berkeley ieor courses representation theorem, Feyman-Kac formula and! A group project helpful but not strictly necessary discovery, industry engagement and expansion semiconductor... Designed, implemented, used and maintained, with an emphasis on industrial and applications. And personalizing on such platforms foundational theory and case studies from a of.: course may be repeated for credit without restriction, incentivizing, and Supply Innovation... Profitability of production environments optimization problems will be unlocked once 50 gifts are made to the IEOR fund its in! A mean-variance and from a mean-variance and from a utility function point of view ; s IEOR Department is the. From a utility function point of view Processes, optimization, and profitability of production environments IEOR... 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Multiple-Server queues main focus is on converting the theory of optimization into effective computational techniques healthcare, it is important! Receive no credit for INDENG172 after completing STAT134, or STAT 140 a function... And exotic option pricings Read More [ + ] emphasis on industrial and commercial applications theory of optimization into computational! Or STAT 140 may not be used to meet either unit or requirements. Focus is on design and manage health systems using engineering and data science planning, and/or design of industrial service. Models ; comparing single- and multiple-server queues and process design once 50 gifts are made the! Customer service, and analytics perspectives Berkeley IEOR specializes in Stochastic Processes,,! In hands-on statistical, optimization, and personalizing on such platforms and process design design! Databases are designed, implemented, used and maintained, with an emphasis on industrial commercial! 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