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 Engineering Statistics, Quality Control, and Forecasting, Terms offered: Spring 2023, Spring 2022, Spring 2021. Special Topics in Industrial Engineering and Operation Research: Dynamic Production Theory and Planning Models, Terms offered: Spring 2014, Fall 2008, Spring 2008. Portfolio optimization problems will be considered both from a mean-variance and from a utility function point of view. 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. Industrial Engineering and Operations Research (IEOR) Dept University of California at Berkeley Lecture: MW 12-1, 3113 Etcheverry Hall, Lab: F 2-4, 1173 Etcheverry This course explores how databases are designed, implemented, used and maintained, with an emphasis on industrial and commercial Terms offered: Spring 2022, Spring 2021, Fall 2020. strength of Linear Programming relaxations. Integer Programming and Combinatorial Optimization: Terms offered: Spring 2011, Spring 2010, Spring 2009. and interfacing of sensors and motors that will culminate in a team design project. The focus is on converting the theory of optimization into effective computational techniques. This course addresses modeling and algorithms for optimization of linear constrained optimization problems. 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. Economic studies. Recommended but not required to be taken after or along with Engineering 198, Cases in Global Innovation: South Asia: Read Less [-], Terms offered: Fall 2022 Max-flow min-cut theorem. The course aims to train students in hands-on statistical, optimization, and data analytics for quantitative portfolio and risk management. Individual Study or Research: 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. Emphasis on the formulation, analysis, and use of decision-making techniques in engineering, operations research and systems analysis. 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. Terms offered: Spring 2018, Fall 2016, Spring 2016 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. 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. Office Hours: MW: 1:15-2pm or by appointment. To train students in how to actually apply each method that is discussed in class, through a series of labs and programming exercises.5. To carefully present the statistical and computational assumptions, trade-offs, and intuition underlying each method discussed so that students will be trained to determine which techniques are most appropriate for a given problem.3. Analytical techniques for the improvement of manufacturing performance along the dimensions of productivity, quality, customer service, and throughput. Supervised independent study for lower division students. To train them in the art and science of using software tools to model and solve optimization problems. To introduce students to the core concepts of optimization Automation Science and Engineering: Read More [+], Fall and/or spring: 15 weeks - 2 hours of lecture, 1 hour of discussion, and 1 hour of laboratory per week, Automation Science and Engineering: Read Less [-], Terms offered: Spring 2023, Fall 2022, Spring 2022 By discussing various applications in science and engineering, students will be able to model many real world problems where uncertainty plays an important role. Explore the Arts Research Center at UC Berkeley a think tank for the arts and a genuinely interdisciplinary space. 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. Industrial Engineering and Operations Research 172 . You can check their website here for information about their upcoming classes. 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. Readings are drawn from economics, organizations, Grading/Final exam status: Letter grade. 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 Transportation and logistics problems. Grading: Offered for satisfactory/unsatisfactory grade only. Topics include the types of problems that can be solved by such methods. This is a Masters of Engineering course, in which students will develop a fundamental understanding of how randomness and uncertainty are root causes of risk in modern enterprises. 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. They will also manage hypothetical portfolios throughout the course. Learn more about our game-changing alumni, and view our recent newsletters. Individual Study for Doctoral Students: Read More [+], Individual Study for Doctoral Students: Read Less [-]. Students will not receive credit after taking Engineering 120. The 190 series cannot be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise). 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. 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. This list does not include IEOR courses offered by the Sutardja Center for Entrepreneurship & Technology. Terms offered: Fall 2016 Provide students with concrete examples of how the mathematical tools from the class apply to real problems such as dieting, scheduling, and transportation. Relational algebra, SQL, normalization. Brief introduction to decision making under risk and uncertainty. It then covers rigorously and in depth the most fundamental probability concepts for financial engineers, including stochastic integral, stochastic differential equations, and semi-martingales. The main focus is on design and analysis of models and algorithms for matching, pricing, incentivizing, and personalizing on such platforms. data sets. Industrial Design and Human Factors: Read More [+], Industrial Design and Human Factors: Read Less [-], Terms offered: Spring 2023, Spring 2022, Fall 2020 Teaching Assistant (GSI): Xingwei Wu, Office Hour: TBD. This course is ideal for students who have taken COMPSCIC8 / DATAC8 / INFOC8 / STATC8. Uncertainty; preference under risk; decision analysis. Repeat rules: Course may be repeated for credit when topic changes. A deficient grade in INDENG174 may be removed by taking IND ENG 131. They will learn how mathematical tools and computational methods are used for the design, modeling, planning, and real-time operation of power grids. Applied Data Science with Venture Applications: Introduction to Machine Learning and Data Analytics, Terms offered: Spring 2023, Fall 2022, Spring 2022. 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. Advanced Topics in Industrial Engineering and Operations Research: Read More [+], Fall and/or spring: 15 weeks - 1-4 hours of seminar per week, Summer: 8 weeks - 1.5-7.5 hours of seminar per week10 weeks - 1.5-6 hours of seminar per week, Advanced Topics in Industrial Engineering and Operations Research: Read Less [-], Terms offered: Fall 2017, Spring 2014, Fall 2013 Research projects on current topics in information technology. Design and development of effective industrial production planning systems. Introduction to Martinjales. 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 On the theoretical front, supply chain analysis inspires new research ventures that blend operations research, game theory, and microeconomics. Advanced Topics in Industrial Engineering and Operations Research: Read More [+], Terms offered: Spring 2013, Spring 2012, Spring 2011 Terms offered: Fall 2017, Fall 2016, Fall 2015 Industrial Engineering and Operations Research 173. Prior exposure to optimization is helpful but not strictly necessary. Methods for evaluating real options will be presented. IEOR is the process of inventing and designing ways to analyze and improve complex systems. In this course, students will learn essential Product Management skills by putting theory into practice, on a product or idea of your choosing. Operations Research and Management Science Honors Thesis: Undergraduate Field Research in Industrial Engineering. Credit Restrictions: Course may be repeated for a maximum of four units per semester. Convex optimization as a systematic approximation tool for hard decision problems. On the practical front, supply chain analysis offers solid foundations for strategic positioning, policy setting, and decision making. Advanced topics in information management, focusing on design of relational databases, querying, and normalization. The 190 series cannot be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise). Introduction to Machine Learning and Data Analytics: Read More [+]. Note: the course is a mixture of modeling art, analytical science, and computational technology. Methods for evaluating real options will be presented. Understand the University policies and procedures on academic integrity and ethics. Basic first year graduate course in optimization of non-linear programs. IEOR leverages computing to better manage the massive amounts of information available today. Tau Beta Pi Engineering Honor Society, California Alpha Chapter Algorithms for integer optimization problems. A Bivariate Introduction to IE and OR: Read More [+]. Operations Research & Management Science, B.S. Integer Optimization: Read More [+]. Mathematical Programming II: Read More [+], Mathematical Programming II: Read Less [-], Terms offered: Fall 2022, Fall 2021, Fall 2020 A project course to provide hands-on experience in end-to-end analytics development from Support Berkeleys commitment to excellence and opportunity! Overflow models. Students will work in teams on projects and build solutions to The main goal is to develop proficiency in common optimization modeling languages, and learn how to integrate them with underlying optimization solvers. About a third of the course will be devoted to system modeling, with the remaining two-thirds concentrating on simulation experimental design and analysis. Principles of Engineering Economics: Read More [+]. 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. This course will introduce students to basic statistical techniques such as parameter estimation, hypothesis testing, regression analysis, analysis of variance. One of the grand challenges of this century is the modernization of electrical power networks. New issues raised by the World Wide Web. We are committed to ensuring that all students have equal access to educational opportunities at UC Berkeley. Search Courses. Repeat rules: Course may be repeated for credit without restriction. This list does not include IEOR courses offered by the Sutardja Center for Entrepreneurship & Technology. 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. Logistics Network Design and Supply Chain Management: paths, project management and equipment replacement. IEOR improves processes to create a better world. Course Objectives: Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. This course introduces unconstrained and constrained optimization with continuous and discrete domains. This introductory course provides students with sufficient background in Python programming language Course Information. Depreciation and taxes. and other social sciences, and engineering and in particular, data science research on analyzing large Semi-Markov processes with emphasis on application. Advanced seminars in industrial engineering and operations research. IEOR utilizes math and statistics to understand and quantify the world around us. Industrial Engineering and Operations Research (IND ENG), Terms offered: Fall 2017, Fall 2016, Fall 2015. applications such as dieting, scheduling, and transportation. business/industry challenges using Python packages such as Pandas, NumPy, Matplotlib, scikit- understand the array of mathematical toolkits provided by the Python packages covered. What did your. Nonlinear and Discrete Optimization: Read More [+], Nonlinear and Discrete Optimization: Read Less [-], Terms offered: Spring 2023, Fall 2022, Spring 2022 Cases in Global Innovation: South Asia: Read More [+], Prerequisites: Junior or senior standing. i took cs 70 last sem and struggled big time only making it out with a B-. Computing technology has advanced to the point that commonly available tools can be used to solve practical decision problems and optimize real-world systems quickly and efficiently. Programming material includes the theory behind random variable generation for a variety of common variables. goldberg@ieor.berkeley.edu. Make a secure online gift by choosing a giving opportunity. Instructor Professor Robert C. Leachman 510-517-6113 leachman[at]ieor.berkeley.edu Office hours: MWF 11:00-12:00pm Online via Zoom . be used to fulfill any engineering unit or elective requirements. 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Tau Beta Pi engineering Honor Society, California Alpha Chapter algorithms for matching, pricing incentivizing... The course is ideal for students who have taken COMPSCIC8 / DATAC8 / /! Constrained optimization with continuous and discrete domains drawn from economics, organizations, exam. Leverages computing to better manage the massive amounts of information available today continuous and discrete.! Academic integrity and ethics [ + ], individual Study for Doctoral:... Credit without restriction and supply chain management modeling and algorithms for integer optimization problems will be considered from. Advanced topics in information management, focusing on design of relational databases querying. The main focus is on converting the theory behind random variable generation for a maximum of four units semester! And in particular, data science research on analyzing large Semi-Markov processes emphasis... 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