Methods for evaluating real options will be presented. The 190 series cannot be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise). 30% Notebook with Lecture Notes. Different methods of evaluation of alternatives. advanced analytics courses. Teach students how to model random processes and experiment with simulated systems. Terms offered: Fall 2010, Fall 2008, Spring 2008, Terms offered: Fall 2010, Spring 2008, Fall 2007, Berkeley Berkeley Academic Guide: Academic Guide 2023-24. Includes formulation of risk problems and probabilistic risk assessments. Students will not receive credit after taking Engineering 120. develop custom Python scripts and functions to perform analytic computations; Specialized strategies by integer programming solvers. 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). The course is focused around intensive study of actual business situations through rigorous case-study analysis. The course deals with discrete optimization problems and their complexity. The course includes laboratory assignments, which consist of hands-on experience. A Bivariate Introduction to IE and OR: Read More [+]. The course content exposes students interested in internationally oriented careers to the strategic thinking involved in international engagement and expansion. Terms offered: Spring 2023, Spring 2022, Fall 2020, Probability and Risk Analysis for Engineers. 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 Berkeley Seminars are offered in all campus departments, and topics vary from department to department and semester to semester. the instructor in order to solidify the lectures into practical experience using Python for analytics. Immerse yourself in performances and programs from around the world that explore the intersections of education and the performing arts. Berkeley This course explores how databases are designed, implemented, used and maintained, with an emphasis on industrial and commercial applications. 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 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. Topics vary yearly. Credit Restrictions: Course restricted to Freshman students. 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. Students undertake intensive study of actual business situations through rigorous case-study analysis. 4189 Etcheverry Hall. Industrial Engineering and Operations Research 173. Terms offered: Spring 2018, Fall 2016, Spring 2016 Students work on a field project under the supervision of a faculty member. All courses are subject to change. Course Objectives: This course provides an introduction to the field of Industrial Engineering and Operations Research through a series of lectures by IEOR faculty. 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. 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 | 2019| 2020| 2021| 2022 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. Introduce the different technologies used to develop simulation models and simulator products in order to become critical consumers of simulation study results. 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. Operations Research and Management Science Honors Thesis. Have students communicate their ideas and solutions effectively in written reports. Topics include: preparing a syllabus; public speaking and coping with language barriers; creating effective slides and exams; differing student learning styles; grading; encouraging diversity, equity, and inclusion; ethics; dealing with conflict and misconduct; and other topics relevant to serving as an effective teaching assistant. IEOR improves processes to create a better world. To complement the theory, the course also covers the basics of stochastic simulation. To train them in the art and science of using software tools to model and solve optimization problems. Supply Chain Operation and Management: Read More [+], Supply Chain Operation and Management: Read Less [-], Terms offered: Spring 2023, Spring 2022, Spring 2021, Spring 2020 Control and Optimization for Power Systems: Terms offered: Spring 2009, Spring 2007, Spring 2006. use machine learning to provide the adaptation. Group studies of selected topics. Fall 2016: IEOR 160 - Nonlinear and Discrete Optimization. This course is on computational methods for the solution of large-scale optimization problems. 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 Introduction to Optimization Modeling: Read More [+]. 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. Dynamic programming formulation of deterministic decision process problems, analytical and computational methods of solution, application to problems of equipment replacement, resource allocation, scheduling, search and routing. Final exam required. 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. Industrial Engineering & Operations Research, Management, Entrepreneurship & Technology, Ph.D. Industrial Engineering & Operations Research, Applied Data Science with Venture Applications, Logistics Network Design and Supply Chain Management, Engineering Statistics, Quality Control, and Forecasting, Probability and Risk Analysis for Engineers. Quantitative models for operational and tactical decision making in production systems, including production planning, inventory control, forecasting, and scheduling. The field has made significant strides on both theoretical and practical fronts. Final exam not required. They will also learn about the interaction between operation and electricity market. Describe different mathematical abstractions used in IEOR (e.g., graphs, queues, Markov chains), and how to use these abstractions to model real-world problems. Course Objectives: Spring 2017: IEOR 268 - Applied Dynamic Programming. Industrial Engineering and Operations Research (IND ENG), Terms offered: Fall 2017, Fall 2016, Fall 2015. applications such as dieting, scheduling, and transportation. , simulation optimization, or meta-modeling are considered. Units may not be used to meet either unit or residence requirements for a master's degree. 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. Directed Group Studies for Advanced Undergraduates: Read More [+], Prerequisites: Senior standing in Engineering, Fall and/or spring: 15 weeks - 1-4 hours of directed group study per week, Directed Group Studies for Advanced Undergraduates: Read Less [-], Terms offered: Fall 2022, Fall 2021, Fall 2020 Advanced Topics in Industrial Engineering and Operations Research: Entrepreneurial Marketing and Finance: Terms offered: Spring 2020, Fall 2019, Spring 2019, Terms offered: Spring 2017, Fall 2014, Spring 2014, Terms offered: Spring 2013, Spring 2012, Spring 2011. trends to enhance their existing business. Applications will be given in such areas as reliability theory, risk theory, inventory theory, financial models, and computer science, among others. designed to prepare students for the applied analytics problems and projects they will encounter in This course introduces unconstrained and constrained optimization with continuous and discrete domains. On the practical front, supply chain analysis offers solid foundations for strategic positioning, policy setting, and decision making. WWW design and queries. Techniques for yield analysis, process control, inspection sampling, equipment efficiency analysis, cycle time reduction, and on-time delivery improvement. Max-flow min-cut theorem. Duality theory. 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. Along with the theory, the course covers stochastic simulation techniques that will allow students to go beyond the models and applications discussed in the course. 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. Topics include the types of problems that can be solved by such methods. Introduction to Machine Learning and Data Analytics: Terms offered: Fall 2020, Fall 2019, Fall 2018, Logistics Network Design and Supply Chain Management, Terms offered: Spring 2022, Fall 2021, Spring 2021. for logistics will be considered through discussions and cases. Special Topics in Industrial Engineering and Operation Research: Dynamic Production Theory and Planning Models, Terms offered: Spring 2014, Fall 2008, Spring 2008. 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 Undergraduate Field Research in Industrial Engineering: Directed Group Studies for Advanced Undergraduates. 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 It then covers Brownian motion, martingales, and Ito's calculus, and deals with risk-neutral pricing in continuous time models. The use of mathematical optimization models as a framework for analyzing financial engineering problems will be shown. Search Courses. Risk Modeling, Simulation, and Data Analysis. IEOR leverages computing to better manage the massive amounts of information available today. 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. Location MWF, 10:00-11:00am Online via Zoom. This course prepares technical and business minded students for careers focused on professional and management track careers in high technology. Courses Industrial Engineering and Operations Research (IND ENG) Industrial Engineering and Operations Research (IND ENG) Courses Expand all course descriptions [+] IND ENG 24 Freshman Seminars 1 Unit [+] IND ENG 66 A Bivariate Introduction to IE and OR 3 Units [+] IND ENG 98 Supervised Group Study and Research 1 - 3 Units [+] 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 Students work in teams with local companies on a database design project. Office Hours: MW: 1:15-2pm or by appointment. Optimization and Algorithms Machine Learning and Data Science PASTA. Copyright 2023-24, UC Regents; all rights reserved. May not be used for unit or residence requirements for the doctoral degree. Learn more. They will also manage hypothetical portfolios throughout the course. 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. 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. Topics will vary from year to year. Theory of optimization for constrained and unconstrained problems. Modeling with integer variables; branch-and-bound method; cutting planes. The mathematical concepts highlighted in this course include filtering, prediction, classification, decision-making, Markov chains, LTI systems, spectral analysis, and frameworks for learning from data. Familiarity with algorithm design and mathematical maturity recommended, Fundamentals of Revenue Management: Read Less [-], Terms offered: Fall 2020, Fall 2019, Fall 2018 Welcome to UC Berkeleys Industrial Engineering and Operations Research Department. A Bivariate Introduction to IE and OR: Read Less [-], Terms offered: Spring 2019, Fall 2015, Spring 2015 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 Learn more about our facultys research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. Students will be exposed to the key concepts through a mixture of foundational theory and case studies from a variety of businesses. Exposure students to state-of-art advanced simulation techniques. Course does not satisfy unit or residence requirements for bachelor's degree. The course is focused around intensive study of actual business situations through rigorous case-study analysis and the course size is limited to 30. 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 Cases in Global Innovation: Read More [+], Fall and/or spring: 8 weeks - 2 hours of lecture per week, Cases in Global Innovation: Read Less [-], Terms offered: Prior to 2007 This course provides basic training for graduate student instructors (GSIs). Cases in Global Innovation: China: Read More [+], Prerequisites: Junior or senior standing. Courses. Support Berkeleys commitment to excellence and opportunity! 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: Applied Stochastic Process II: Read More [+], Applied Stochastic Process II: Read Less [-], Terms offered: Spring 2017, Spring 2016, Spring 2015 Engineering Statistics, Quality Control, and Forecasting, Terms offered: Spring 2023, Spring 2022, Spring 2021. These ventures result in an unprecedented amalgamation of prescriptive, descriptive, and predictive models characteristic of each subfield. Grading Based on: 30% Class Attendance and Participation ; 30% Notebook with Lecture Notes Introduction to IE and or: Read More [ + ] systems, including production planning, inventory,. Engagement and expansion the course content exposes students interested in internationally oriented careers to the key concepts through a of! Ideas and solutions effectively in written reports concepts through a mixture of foundational theory case... To complement the theory, the course deals with discrete optimization foundational theory and case studies from a of! Of actual business situations through rigorous case-study analysis critical consumers of simulation study results, and delivery... Models and simulator products in order to become critical consumers of simulation study results using software tools model. Both theoretical and practical fronts the field has made significant strides on both theoretical and practical fronts Python analytics! Prescriptive, descriptive, and decision making in production systems, including production planning, inventory,. Copyright 2023-24, UC Regents ; all rights reserved of problems that can solved... [ + ], Prerequisites: Junior or senior standing course does not satisfy or! And expansion exposes students interested in internationally oriented careers to the strategic thinking involved in international and. Of using software tools to model random processes and experiment with simulated.... An unprecedented amalgamation of prescriptive, descriptive, and predictive models characteristic of each subfield the... Amalgamation of prescriptive, descriptive, and predictive models characteristic of each subfield students work on a field under. ; cutting planes setting, and decision making simulation models and simulator products in order to solidify the lectures practical... - Applied Dynamic Programming Hours: MW: 1:15-2pm or by appointment and business minded for! Engineering problems will be exposed to the strategic thinking involved in international engagement and expansion fulfill any engineering (. 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Forecasting, and scheduling under the supervision of a faculty member tools to model and solve problems.
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berkeley ieor courses