Graphical methods and computer software using event trees, decision trees, and influence diagrams that focus on model design. It then covers Brownian motion, martingales, and Ito's calculus, and deals with risk-neutral pricing in continuous time models. The course will put this into the larger context of the political, economic, and social climate in several South Asian countries and explore the constraints to doing business, as well as the policy changes that have allowed for a more conducive business environment. Credit Restrictions: Enrollment is restricted; see the Introduction to Courses and Curricula section of this catalog. Methods of Manufacturing Improvement: Read More [+], Prerequisites: INDENG172, MATH54, or STAT134 (STAT134 may be taken concurrently), Methods of Manufacturing Improvement: Read Less [-], Terms offered: Spring 2023, Spring 2022, Fall 2021 Applications will be given in such areas as reliability theory, risk theory, inventory theory, financial models, and computer science, among others. implement these concepts within applications with modern open source CS tools. Fall and/or spring: 15 weeks - 2 hours of lecture and 2 hours of discussion per week, Introduction to Stochastic Processes: Read Less [-], Terms offered: Fall 2022, Fall 2021, Fall 2020 Credit Restrictions: Students will receive no credit for Ind Eng 171 after taking UGBA105. Organize concepts and objectives covered in an engineering course.3. Prior exposure to optimization is helpful but not strictly necessary. To train them in the art and science of using software tools to model and solve optimization problems. Terms offered: Spring 2019, Fall 2015, Spring 2015, Supervised Independent Study and Research. UC Berkeley's IEOR Department is at the forefront of optimization research. Dynamic programming and its role in applications to shortest paths, project management and equipment replacement. Introduction to Production Planning and Logistics Models: Read More [+], Prerequisites: 262A and 263A taken concurrently, Introduction to Production Planning and Logistics Models: Read Less [-], Terms offered: Fall 2012, Spring 2005, Spring 2004 Applications in production planning, resource allocation, power generation, network design. You will learn techniques to accelerate product success and avoid common mistakes. 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. This list does not include IEOR courses offered by the Sutardja Center for Entrepreneurship & Technology. designed to prepare students for the applied analytics problems and projects they will encounter in Broad usefulness of concepts will be demonstrated through applications in airline reservation systems, retail, advertising, e-commerce and school-student assignments. 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. Upon completion of the course students will have learned how to: 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. 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. 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 To acquire skills in the best modeling approach that is suitable to the practical problem at hand. Different methods of evaluation of alternatives. Introduction to network flows models. ic packages to solve complex analytics problems; 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. Group Studies, Seminars, or Group Research: Read Less [-], Terms offered: Summer 2023 Second 6 Week Session, Fall 2019, Fall 2016 Basic graduate course in linear programming and introduction to network flows and non-linear programming. 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. 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. The Department of Industrial Engineering and Operations Research (IEOR) offers four graduate programs: a Master of Engineering (MEng), a Master of Science (MS), a Master of Analytics (MAnalytics), and a PhD. Continuous time Markov chains. IEOR 166, Decision Analysis IEOR 262A, Mathematical Programming I IEOR 262B, Mathematical Programming II IEOR 190D, Market Engineering and Applications E120, Engineering Economics . All courses are subject to change. Industrial Engineering and Operations Research Courses Search Courses. Grading: The grading option will be decided by the instructor when the class is offered. Terms offered: Spring 2023, Fall 2022, Spring 2022 Credit Restrictions: Students will receive no credit for INDENG256 after completing INDENG156. Please use this as a guide for planning purposes. 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 The PDF will include all information unique to this page. Describe different mathematical abstractions used in IEOR (e.g., graphs, queues, Markov chains), and how to use these abstractions to model real-world problems. Theory of optimization for constrained and unconstrained problems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. 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. Mathematical and computer methods for design, planning, scheduling, and control in manufacturing and distribution systems. Engineering Statistics, Quality Control, and Forecasting: Read More [+], Prerequisites: INDENG172, or STAT134, or an equivalent course in probability theory. Courses. Operations Research and Management Science Honors Thesis: Read Less [-], Terms offered: Prior to 2007 Students develop research designs and present each week and formally for their final. Credit Restrictions: Students will receive 2 units for 120 after taking Civil Engineering 167. The material covered in the course includes internet auctions, procurement, service facility location, sevice quality management, capacity planning, airline ticket pricing, financial plan design, pricing of digital goods, call center management, service competition, revenue management in queueing systems, information intermediaries, and health care. 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. Standard topics include Girsanov transformation, martingale representation theorem, Feyman-Kac formula, and American and exotic option pricings. Important models (both centralized and decentralized) for understanding the design, operation, and evaluation of supply chains will be discussed with the goal of developing a holistic understanding of supply chain management. This course is designed primarily for upper-level undergraduate and graduate students interested in examining the major challenges and success factors entrepreneurs and innovators face in conducting business, globalizing a company product or service, or investing in South Asia. Course topics include an introduction to polyhedral theory, cutting plane methods, relaxation, decomposition and heuristic approaches for large-scale optimization problems. Berkeley Seminars are offered in all campus departments, and topics vary from department to department and semester to semester. They will also learn about the interaction between operation and electricity market. Repeat rules: Course may be repeated for credit when topic changes. Supervised independent study. Quantitative models for operational and tactical decision making in production systems, including production planning, inventory control, forecasting, and scheduling. Design of such systems requires familiarity with human factors and ergonomics, including the physics and perception of color, sound, and touch, as well as familiarity with case studies and contemporary practices in interface design and usability testing. If you just want to print information on specific tabs, you're better off downloading a PDF of the page, opening it, and then selecting the pages you really want to print. Students will solve a series of design problems individually and in teams. Grading/Final exam status: Offered for pass/not pass grade only. Modeling with integer variables; branch-and-bound method; cutting planes. Applications in forecasting and quality control. Learn more about our facultys research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. A course on financial concepts useful for engineers that will cover, among other topics, those of interest rates, present values, arbitrage, geometric Brownian motion, options pricing, & portfolio optimization. On the practical front, supply chain analysis offers solid foundations for strategic positioning, policy setting, and decision making. Uncertainty; preference under risk; decision analysis. Sensitivity analysis, parametric programming, convergence (theoretical and practical). The main focus is on design and analysis of models and algorithms for matching, pricing, incentivizing, and personalizing on such platforms. Special Topics in Industrial Engineering and Operation Research: Read More [+], Prerequisites: Upper level standing or graduate student, Fall and/or spring: 15 weeks - 2-3 hours of lecture per week, Summer: 6 weeks - 5-7.5 hours of lecture per week10 weeks - 3-4.5 hours of lecture per week, Special Topics in Industrial Engineering and Operation Research: Read Less [-], Terms offered: Spring 2014, Fall 2008, Spring 2008

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