Supervised Group Study and Research: Read More [+]. These ventures result in an unprecedented amalgamation of prescriptive, descriptive, and predictive models characteristic of each subfield. Introduction to Data Modeling, Statistics, and System Simulation: Read More [+]. Fall and/or spring: 15 weeks - 1 hour of seminar per week, Subject/Course Level: Industrial Engin and Oper Research/Undergraduate. Graph and network problems as linear programs with integer solutions. use Python and core scienti 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 Control and Optimization for Power Systems. Prerequisites: MATH53, MATH54, and background in Python and programming, Terms offered: Spring 2023, Spring 2022, Spring 2021 Familiarize students in leading methodologies for solving integer optimization problems, and techniques in these methodologies. Course topics include an introduction to polyhedral theory, cutting plane methods, relaxation, decomposition and heuristic approaches for large-scale optimization problems. Linear Programming and Network Flows: Read More [+], Linear Programming and Network Flows: Read Less [-], Terms offered: Spring 2023 Emphasis will be placed on both the use of computers and the theoretical analysis of models and algorithms. Advanced topics in information management, focusing on design of relational databases, querying, and normalization. Lectures and appropriate assignments on fundamental or applied topics of current interest in industrial engineering and operations research. 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. for use in analytics applications as well as potentially conducting research in the area. 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. Depreciation and taxes. Integer Optimization: Read More [+]. Summer: 8 weeks - 6 hours of lecture per week, Technology Firm Leadership: Read Less [-], Terms offered: Spring 2023, Fall 2022, Spring 2022 Help us reach our goal Basic graduate course in linear programming and introduction to network flows and non-linear programming. Grading/Final exam status: Offered for pass/not pass grade only. 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. Brownian Motion. Exams. 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 Copyright 2023-24, UC Regents; all rights reserved. Advanced Topics in Industrial Engineering and Operations Research, Terms offered: Spring 2018, Fall 2016, Spring 2016. Practice fair and helpful evaluation of student work.After completion of the course, GSIs will be able to perform the following course-related tasks: Supervised group study and research by lower division students. The course, drawing a mix of humanities and engineering students, will include readings and lectures on 19th and 20th century philosophers with discussions of new technology and team experimental projects. Have students communicate their ideas and solutions effectively in written reports. 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. Terms offered: Spring 2018, Fall 2016, Spring 2016 What did your. 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. , and semi-martingales. 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 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. Prerequisites: No prerequisites except some Python programming skills, which can be met by COMPSCIC8 (or any other Python-based course), Introduction to Optimization Modeling: Read Less [-], Terms offered: Spring 2023, Spring 2022, Spring 2021 Familiarity with the Python programming language is also expected, Terms offered: Fall 2013 to adapt a U.S. or western business model to the China market. This course addresses modeling and algorithms for optimization of linear constrained optimization problems. Three hours of lecture per week. GSI Proseminar on Teaching Engineering: Read More [+]. 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. 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). Credit Restrictions: Ind Eng 242 shares a fair amount of overlapping content with Ind Eng 142. Simulation for Enterprise-Scale Systems: Read More [+]. Final exam not required. IEOR improves processes to create a better world. One of the grand challenges of this century is the modernization of electrical power networks. Welcome to UC Berkeleys Industrial Engineering and Operations Research Department. 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 Familiarity with algorithm design and mathematical maturity recommended, Fundamentals of Revenue Management: Read Less [-], Terms offered: Fall 2020, Fall 2019, Fall 2018 It will start with basic programming topics using Python and cover On the practical front, supply chain analysis offers solid foundations for strategic positioning, policy setting, and decision making. Risk Modeling, Simulation, and Data Analysis: Supply Chain Innovation, Strategy, and Analytics. Production and Inventory Systems: Read More [+], Prerequisites: 262A or 150; 263A or 173 recommended, Production and Inventory Systems: Read Less [-], Terms offered: Spring 2023, Spring 2022 They will learn how mathematical tools and computational methods are used for the design, modeling, planning, and real-time operation of power grids. descriptive, predictive, and prescriptive analytics. The course focuses on discrete-time Markov chains, Poisson process, continuous-time Markov chains, and renewal theory. Student teams implement an enterprise-scale simulation in a semester-length design project. 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 Course Objectives: This course provides an introduction to the field of Industrial Engineering and Operations Research through a series of lectures by IEOR faculty. 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 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. Credit Restrictions: Enrollment is restricted; see the Introduction to Courses and Curricula section of this catalog. 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. Operations Research and Management Science Honors Thesis: Read More [+], Terms offered: Spring 2023, Fall 2022, Spring 2022 Prerequisites: This course is open to freshman and sophomore students from any department. The 190 series cannot be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise). Credit Restrictions: Students will receive no credit for INDENG256 after completing INDENG156. Bounds and approximations. 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. Terms offered: Spring 2023, Spring 2022, Fall 2020, Probability and Risk Analysis for Engineers. With the growing complexity of providing healthcare, it is increasingly important to design and manage health systems using engineering and analytics perspectives. Advanced seminars in industrial engineering and operations research. Max-flow min-cut theorem. Watch, listen, and learn. Production Systems Analysis: Read More [+], Prerequisites: INDENG160, INDENG173, INDENG162, INDENG165, and ENGIN120, Production Systems Analysis: Read Less [-], Terms offered: Fall 2022, Fall 2021, Fall 2020 Applications in production planning, resource allocation, power generation, network design. Please use this as a guide for planning purposes. Nonlinear and Discrete Optimization: Read More [+], Nonlinear and Discrete Optimization: Read Less [-], Terms offered: Spring 2023, Fall 2022, Spring 2022 The course is focused around intensive study of actual business situations through rigorous case-study analysis and the course size is limited to 30. Analysis of the capacity and efficiency of production systems. Authors join us, physically or virtually. Design and development of effective industrial production planning systems. Research projects on current topics in information technology. Different methods of evaluation of alternatives. Topics include the firm's key operations, strategic issues, and managerial leadership including personal leadership and talent management. The result "L = (lambda) w" and other conservation laws. Introduce students to modern techniques for developing computer simulations of stochastic discrete-event models and experimenting with such models to better design and operate dynamic systems. Students develop research designs and present each week and formally for their final. 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 Learn more about our facultys research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. To acquire skills in the best modeling approach that is suitable to the practical problem at hand. Relationship with linear programming, transportation problems, electrical networks and critical path scheduling. 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. Learn more about our game-changing alumni, and view our recent newsletters. Final exam not required. 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 30% Notebook with Lecture Notes. Operations Research & Management Science, B.S. 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 Broad usefulness of concepts will be demonstrated through applications in airline reservation systems, retail, advertising, e-commerce and school-student assignments. 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 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. Service Operations Design and Analysis: Read More [+], Prerequisites: INDENG162, INDENG173, and a course in statistics, Service Operations Design and Analysis: Read Less [-], Terms offered: Spring 2022, Fall 2021, Spring 2021 Logistics Network Design and Supply Chain Management: paths, project management and equipment replacement. They will also manage hypothetical portfolios throughout the course. Emphasis on the formulation, analysis, and use of decision-making techniques in engineering, operations research and systems analysis. Topics will vary from year to year. The course content exposes students interested in internationally oriented careers to the strategic thinking involved in international engagement and expansion. Summer: 6 weeks - 2.5-10 hours of independent study per week8 weeks - 2-7.5 hours of independent study per week10 weeks - 1.5-6 hours of independent study per week, Supervised Independent Study: Read Less [-], Terms offered: Prior to 2007 The field has made significant strides on both theoretical and practical fronts. Operations Research and Management Science Honors Thesis: Read Less [-], Terms offered: Prior to 2007 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. 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 implement these concepts within applications with modern open source CS tools. visualize analytic results in graphical form; 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. The use of mathematical optimization models as a framework for analyzing financial engineering problems will be shown. In this graduate course, we focus on the systematic design of databases and interfaces for commercial and industrial applications. New issues raised by the World Wide Web. Work. This course is ideal for students who have taken COMPSCIC8 / DATAC8 / INFOC8 / STATC8. Immerse yourself in performances and programs from around the world that explore the intersections of education and the performing arts. 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. The course is intended for graduate students at the Masters level looking for a concrete introduction This course will focus on the understanding and use of such tools, to model and solve complex real-world business problems, to analyze the impact of changing data and relaxing assumptions on these decisions, and to understand the risks associated with particular decisions and outcomes. Study of algorithms for non-linear optimization with emphasis on design considerations and performance evaluation. Introduction to Optimization Modeling: Read More [+]. Students will also learn how to use computer simulation to replicate and analyze these events. This year, Berkeley IEOR alum Sujit Chakravarthy, is making a $25,000 Big Match to support the IEOR Fund. Organize concepts and objectives covered in an engineering course.3. Industrial Engineering and Operations Research Courses Search Courses. 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. Designed for students from any science/engineering major, this upper-division course will introduce students to optimization models, and train them to use software tools to model and solve optimization problems. Supply chain analysis is the study of quantitative models that characterize various economic trade-offs in the supply chain. 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) 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. Models and solution techniques for facility location and logistics network design will be considered. Degree Programs Industrial Engineering and Operations Research Industrial Engineering and Operations Research About the Program Bachelor of Science (BS) The Bachelor of Science (BS) degree in Industrial Engineering and Operations Research (IEOR) is designed to prepare students for technical careers in production or service industries. Describe different mathematical abstractions used in IEOR (e.g., graphs, queues, Markov chains), and how to use these abstractions to model real-world problems. Specialized strategies by integer programming solvers. using powerful Python packages such as Numpy, Scipy, Pandas, and Matplotlib that are essential for Grading/Final exam status: The grading option will be decided by the instructor when the class is offered. 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. Consideration of technical and economic aspects of equipment and process design. Integer Programming and Combinatorial Optimization: Read More [+], Integer Programming and Combinatorial Optimization: Read Less [-], Terms offered: Fall 2015, Fall 2014 UC Berkeley's IEOR Department is at the forefront of optimization research. The second part of the course will discuss the formulation and numerical implementation of learning-based model predictive control (LBMPC), which is a method for robust adaptive optimization that can use machine learning to provide the adaptation. Technology Firm Leadership: Read More [+].
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