Our researchers create new fields of optimization and push the boundaries in convex and non-convex optimization, integer and combinatorial optimization to find solutions to grand challanges with massive data sets. IEOR 166, Decision Analysis IEOR 262A, Mathematical Programming I IEOR 262B, Mathematical Programming II IEOR 190D, Market Engineering and Applications E120, Engineering Economics . PASTA. This course will introduce graduate and upper division undergraduate students to modern methods for simulating discrete event models of complex stochastic systems. Consideration of technical and economic aspects of equipment and process design. 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). IEOR utilizes math and statistics to understand and quantify the world around us. Integer Optimization: Read More [+]. Innovations that we will discuss include collaborative forecasting, social media, online procurement, and technologies such as RFID. visualize analytic results in graphical form; 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) Office Hours: MW: 1:15-2pm or by appointment. Student Learning Outcomes: Learning goals include technical communication and project presentation. Technology Firm Leadership: Read More [+]. Welcome to UC Berkeleys Industrial Engineering and Operations Research Department. Applied Data Science with Venture Applications: Read Less [-], Terms offered: Spring 2023, Fall 2022, Spring 2022 Familiarity with the Python programming language is also expected, Terms offered: Fall 2013 It is applied to a broad range of applications from manufacturing to transporation to healthcare. 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. Individual Study for Doctoral Students: Read More [+], Individual Study for Doctoral Students: Read Less [-]. Introductory course on the theory and applications of decision analysis. Applications to practical problems from engineering and data science. Different methods of evaluation of alternatives. 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. Advanced Topics in Industrial Engineering and Operations Research: Read More [+], Terms offered: Fall 2021, Spring 2011 Mathematical Programming I: Read More [+], Mathematical Programming I: Read Less [-], Terms offered: Spring 2023, Spring 2022, Spring 2021 Courses. advanced analytics courses. Provide a broad survey of the important topics in IE and OR, and develop intuition about problems, algorithms, and abstractions using bivariate examples (2D). Advanced graduate course for Ph.D. students interested in pursuing a professional/research career in financial engineering. Course Objectives: Provide an introduction to the field of Industrial Engineering and Operations Research through a series of lectures. This course will cover topics related to healthcare analytics, including: optimizing chronic disease management, designing matching markets for health systems, developing predictive analytics models, and managing resource utilization. Terms offered: Spring 2018, Fall 2016, Spring 2016 This course focuses on the design of service businesses such as commercial banks, hospitals, airline companies, call centers, restaurants, Internet auction websites, and information providers. In this award-winning video, IEOR students explain what industrial engineering & operations research is, how their skills can improve the world, and discuss exciting careers in IEOR. 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. implement these concepts within applications with modern open source CS tools. Simulation techniques will be discussed at the end of the semester, and MATLAB (or C or S-Plus) will be used for computation. Final exam required. Student Learning Outcomes: LEARNING GOALS On the practical front, supply chain analysis offers solid foundations for strategic positioning, policy setting, and decision making. BerkeleyX offers interactive online classes and MOOCs from the worlds best universities. 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. Specialized strategies by integer programming solvers. Work. Student Learning Outcomes: Learn more about Industrial Engineering and Operations Research. Branch and Bound; Cutting plane methods; polyhedral theory. Location MWF, 10:00-11:00am Online via Zoom. On the practical front, supply chain analysis offers solid foundations for strategic positioning, policy setting, and decision making. Modeling with integer variables; branch-and-bound method; cutting planes. develop custom Python scripts and functions to perform analytic computations; Terms offered: Spring 2023, Spring 2022, Fall 2020, Probability and Risk Analysis for Engineers. Portfolio optimization problems will be considered both from a mean-variance and from a utility function point of view. 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 Authors join us, physically or virtually. 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. 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. By discussing various applications in science and engineering, students will be able to model many real world problems where uncertainty plays an important role. Have students communicate their ideas and solutions effectively in written reports. Analytical techniques for the improvement of manufacturing performance along the dimensions of productivity, quality, customer service, and throughput. Systems Analysis and Design Project: Read More [+], Systems Analysis and Design Project: Read Less [-], Terms offered: Prior to 2007 Depreciation and taxes. Introduce students to the data analysis process including: developing a hypothesis, acquiring data, processing the data, testing the hypothesis, and presenting results. Optimality conditions for non linear optimization problems. Students undertake intensive study of actual business situations through rigorous case-study analysis. 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 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. Optimization Analytics: Read More [+], Prerequisites: Basic analysis and linear algebra, and basic computer skills and experience, Fall and/or spring: 15 weeks - 3 hours of lecture and 1 hour of laboratory per week, Terms offered: Fall 2022, Fall 2021, Fall 2020 Risk Modeling, Simulation, and Data Analysis: Supply Chain Innovation, Strategy, and Analytics. 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 Through these examples, exercises in R, and a comprehensive team project, students will gain experience understanding and applying techniques such as linear regression, logistic regression, classification and regression 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. Familiarity with algorithm design and mathematical maturity recommended, Fundamentals of Revenue Management: Read Less [-], Terms offered: Fall 2020, Fall 2019, Fall 2018 This undergraduate course will focus on fundamental models and algorithms for RM. The 190 series cannot be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise). Review of linear and nonlinear optimization models, including optimization problems with discrete decision variables. IEOR 265 - Learning and Optimization Spring 2022 Instructor: Anil Aswani Office hours - TuTh 11-12P aaswani [at] berkeley [dot] edu GSI: Yoon Lee yllee [at] berkeley [dot] edu Lectures: TuTh 2-330P, 3107 Etcheverry Website: http://courses.ieor.berkeley.edu/ieor265 Optional Textbooks: 4189 Etcheverry Hall. Individual Study or Research: Read More [+], Fall and/or spring: 15 weeks - 3-36 hours of independent study per week, Summer: 6 weeks - 7.5-40 hours of independent study per week8 weeks - 6-40 hours of independent study per week10 weeks - 4.5-40 hours of independent study per week. Industrial Engineering and Operations Research 162 . 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 The course content exposes students interested in internationally oriented careers to the strategic thinking involved in international engagement and expansion and the particularities of the China market and their contrast with the U.S. market. Credit Restrictions: Students will receive no credit for Ind Eng 173 after taking Ind Eng 161. Terms offered: Spring 2023, Fall 2022, Spring 2022 Cases in Global Innovation: South Asia: Read More [+], Prerequisites: Junior or senior standing. Integrate verbal and visual methods of conveying engineering concepts and practices in the classroom and in discussions.5. Formerly Engineering 120. It also discusses applications to queueing theory, risk analysis and reliability theory. Uncertainty; preference under risk; decision analysis. to adapt a U.S. or western business model to the China market. The course introduces modern open source, computer programming tools, libraries, and code samples that can be used to implement data applications. Sensitivity analysis, parametric programming, convergence (theoretical and practical). Teach strengths and weaknesses of different approaches for a foundation for selecting methodologies. Control and Optimization for Power Systems: Read Less [-], Terms offered: Spring 2009, Spring 2007, Spring 2006 Dynamic Production Theory and Planning Models: Read More [+], Dynamic Production Theory and Planning Models: Read Less [-], Terms offered: Spring 2017, Spring 2014, Spring 2011 The course is intended for graduate students at the Masters level looking for a concrete introduction The course content exposes students interested in internationally oriented careers to the strategic thinking involved in international engagement and expansion. Minimum cost flows. Individual study and research for at least one academic year on a special problem approved by a member of the faculty; preparation of the thesis on broader aspects of this work. Terms offered: Spring 2019, Fall 2015, Spring 2015, Supervised Independent Study and Research. Introduction to Martinjales. Risk Modeling, Simulation, and Data Analysis. Probabilitybackgroundwith Industrial Engineering173 orequivalentisrecommended, Applied Stochastic Process I: Read Less [-], Terms offered: Spring 2023, Spring 2022, Spring 2021 This course introduces unconstrained and constrained optimization with continuous and discrete domains. , and semi-martingales. Facilities Design and Logistics: Read More [+], Prerequisites: 262A, and either 172 or Statistics 134, Facilities Design and Logistics: Read Less [-], Terms offered: Spring 2021, Spring 2014, Spring 2013 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. WWW design and queries. 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. [IEOR 130] Questions for Homework 1 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. Algorithms for matching, pricing, incentivizing, and throughput or otherwise ) teach and! Portfolio optimization problems will be considered both from a utility function point of view business situations through rigorous case-study.... And practical ) point of view discuss include collaborative forecasting, social media, procurement. Verbal and visual methods of conveying engineering concepts and practices in the classroom in. In the classroom and in discussions.5 ( engineering units, courses, technical electives, or otherwise ) Independent and. Including optimization problems will be considered both from a mean-variance and from a mean-variance from! 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