The last part of the course will deal with inverse decision-making problems, which are problems where an agent's decisions are observed and used to infer properties about the agent. Search Courses. Probabilitybackgroundwith Industrial Engineering173 orequivalentisrecommended, Applied Stochastic Process I: Read Less [-], Terms offered: Spring 2023, Spring 2022, Spring 2021 Probability and Risk Analysis for Engineers: Read More [+]. Applications in forecasting and quality control. Research projects on current topics in information technology. 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. 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 The course is focused around intensive study of actual business situations through rigorous case-study analysis and the course size is limited to 30. 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. Engineering Statistics, Quality Control, and Forecasting, Terms offered: Spring 2023, Spring 2022, Spring 2021. Since 1909, distinguished guests have visited UC Berkeley to speak on a wide range of topics, from philosophy to the sciences. Student Learning Outcomes: LEARNING GOALS At Berkeley IEOR, we expand the frontiers of optimization, stochastics and data science enabling transformative decision analytics and technologies to solve grand challenges in transportation, supply chains, healthcare, energy, robotics, finance and risk management. Students taking Ind Eng 242 cannot receive credit for Ind Eng 142. 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. Topics covered are from a broad range that includes demand modeling, inventory management, facility location as well as process flexibility, contracting, and auctions. . Advanced graduate course for Ph.D. students interested in pursuing a professional/research career in financial engineering. Students undertake intensive study of actual business situations through rigorous case-study analysis. 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. Credit Restrictions: Students will receive no credit for INDENG172 after completing STAT134, or STAT 140. This introductory course provides students with sufficient background in Python programming language 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. This is an introductory course in stochastic models. Analysis and Design of Databases: Read More [+], Fall and/or spring: 15 weeks - 2 hours of lecture and 1 hour of laboratory per week, Analysis and Design of Databases: Read Less [-], Terms offered: Spring 2017, Spring 2016, Spring 2015 The field has made significant strides on both theoretical and practical fronts. This course surveys topics related to the design of products and interfaces ranging from alarm clocks, cell phones, and dashboards to logos, presentations, and web sites. Enable the students to recognize when problems can be modeled as integer optimization problems. This will be an introductory first-year graduate course covering fundamental models in production planning and logistics. Simulation for Enterprise-Scale Systems: Read Less [-], Terms offered: Spring 2023, Spring 2022, Spring 2021 advanced analytics courses. Applications in robust engineering design, statistics, control, finance, data mining, operations research. 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. Teach students how to model random processes and experiment with simulated systems. Relationship to theory of production, inventory theory and hierarchical organization of production management. 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. Advanced techniques such as variance reduction, simulation optimization, or meta-modeling are considered. and other social sciences, and engineering and in particular, data science research on analyzing large Special Topics in Industrial Engineering and Operation Research: Dynamic Production Theory and Planning Models, Terms offered: Spring 2014, Fall 2008, Spring 2008. Individual Study for Master's Students: Read More [+], Fall and/or spring: 15 weeks - 0 hours of independent study per week, Summer: 8 weeks - 6-68 hours of independent study per week, Subject/Course Level: Industrial Engin and Oper Research/Graduate examination preparation, Individual Study for Master's Students: Read Less [-], Terms offered: Fall 2010, Spring 2008, Fall 2007 Broad usefulness of concepts will be demonstrated through applications in airline reservation systems, retail, advertising, e-commerce and school-student assignments. Applied Dynamic Programming: Read More [+], Applied Dynamic Programming: Read Less [-], Terms offered: Spring 2020, Spring 2010, Spring 2009 Industrial Engineering and Operations Research (IEOR) Dept University of California at Berkeley Lectures and Labs: MW 5-6:30, 3106 Etcheverry Hall Web Page: www.ieor.berkeley.edu/~ieor170 3 Credits. Watch, listen, and learn. 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. 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: goldberg@ieor.berkeley.edu. Semi-Markov processes with emphasis on application. Methods for evaluating real options will be presented. By discussing various applications in science and engineering, students will be able to model many real world problems where uncertainty plays an important role. BerkeleyX offers interactive online classes and MOOCs from the worlds best universities. Simulation for Enterprise-Scale Systems: Read More [+]. 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 This course is geared towards understanding operational, strategic, and tactical aspects of supply chain man agement. Individual study for the comprehensive in consultation with the field adviser. Credit Restrictions: Ind Eng 242 shares a fair amount of overlapping content with Ind Eng 142. Logistics Network Design and Supply Chain Management: Read More [+], Prerequisites: INDENG160, INDENG162 or senior standing, Logistics Network Design and Supply Chain Management: Read Less [-], Terms offered: Not yet offered Models on production/inventory planning, logistics, portfolio optimization, factor modeling, classification with support vector machines. 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. Decision Analytics: Read More [+], Terms offered: Spring 2022, Spring 2021, Fall 2020 The IEOR department plans to offer the following courses in the Spring 2022 semester. Fundamentals of Revenue Management: Read More [+], Prerequisites: IndEng 162, IndEng 169 and either IndEng 173 Or IndEng 172 (or equivalent introductory courses in mathematical programming and probability). Three hours of lecture per week. Industrial Engineering and Operations Research (IND ENG), Terms offered: Fall 2017, Fall 2016, Fall 2015. applications such as dieting, scheduling, and transportation. Tau Beta Pi Engineering Honor Society, California Alpha Chapter Renewal reward processes with application to inventory, congestion, and replacement models. Analysis of the capacity and efficiency of production systems. Modelling principles are illustrated by reviewing actual large-scale planning systems successfully implemented for naval ship overhaul and for semiconductor manufacturing. This list does not include IEOR courses offered by the Sutardja Center for Entrepreneurship & Technology. Operations Research and Management Science Honors Thesis: Read Less [-], Terms offered: Prior to 2007 Repeat rules: Course may be repeated for credit without restriction. The emphasis will be on computational methods such as variants of GARCH, Black-Litterman, conic optimization, Monte Carlo simulation for risk and optimization, factor modeling. 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) 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 2019, Fall 2015, Spring 2015, Supervised Independent Study and Research. Modeling with integer variables; branch-and-bound method; cutting planes. 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. With the growing complexity of providing healthcare, it is increasingly important to design and manage health systems using engineering and analytics perspectives. Grading: Offered for satisfactory/unsatisfactory grade only. The PDF will include all information unique to this page. Applied Data Science with Venture Applications: Read Less [-], Terms offered: Spring 2023, Fall 2022, Spring 2022 This seminar and discussion class aims to survey current and classic research on innovation and help 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. Brownian Motion. Portfolio optimization problems will be considered both from a mean-variance and from a utility function point of view. The Master of Engineering program in Industrial Engineering & Operations Research is a one year full-time program that combines business-oriented coursework with applications-focused industrial engineering and operations research courses emphasizing Optimization Analytics, Risk Modeling, Simulation, and Data Analysis. On the practical front, supply chain analysis offers solid foundations for strategic positioning, policy setting, and decision making. The course introduces modern open source, computer programming tools, libraries, and code samples that can be used to implement data applications. Cal Students: Please apply with your CalCentral berkeley.edu email by 12/5/2022 or 1/5/2023 PST to receive . Credit Restrictions: Enrollment is restricted; see the Introduction to Courses and Curricula section of this catalog. 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 Exposure students to state-of-art advanced simulation techniques. 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. Provide students with concrete examples of how the mathematical tools from the class apply to real problems such as dieting, scheduling, and transportation. Selected topics in mathematical programming. Formulation and model building. Instructors Type Term Exam Solution Flag (E) Flag (S) Shanthikumar 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 Student Learning Outcomes: Learn more about Industrial Engineering and Operations Research. Terms offered: Spring 2014, Fall 2011, Fall 2009. design, discrete choice models, static and dynamic assortment optimization, real-time recommendations, spatial supply response and supply re-balancing in bike/ride sharing systems. Course Objectives: Students will learn how to model random phenomena and learn about a variety of areas where it is important to estimate the likelihood of uncertain events. Join the online learning revolution! Final exam required. 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 Prerequisites: upper division standing. Berkeley IEOR MS and PhD Info Session IEOR Graduate Programs Interest Form Apply Now Expand Technical Expertise The Master of Science program will prepare students with the latest theory, computational tools, and research methods through advanced courses in optimization, modeling, simulation, decision analytics, and service operations. Location MWF, 10:00-11:00am Online via Zoom. Control and Optimization for Power Systems. 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