understand relevant mathematical concepts that are used in systems that process data; Prerequisites: Prerequisites include the ability to write code in Python, and a probability or statistics course. 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. Through a series of real-world examples, students will learn to identify opportunities to leverage the capabilities of data analytics and will see how data analytics can provide a competitive edge for companies.4. Introduction to Financial Engineering: Read More [+], Prerequisites: 162 or 262A, course in probability, or consent of instructor, Introduction to Financial Engineering: Read Less [-], Terms offered: Spring 2023, Fall 2022, Spring 2022 Individual investigation of advanced industrial engineering problems. Operations Research and Management Science Honors Thesis: Read More [+], Terms offered: Spring 2023, Fall 2022, Spring 2022 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. Survey of solution techniques and problems that have formulations in terms of flows in networks. Introduction to Stochastic Processes: Read More [+]. Credit Restrictions: Students will receive no credit for INDENG172 after completing STAT134, or STAT 140. 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 Methods of Manufacturing Improvement: Read More [+], Prerequisites: INDENG172, MATH54, or STAT134 (STAT134 may be taken concurrently), Methods of Manufacturing Improvement: Read Less [-], Terms offered: Spring 2023, Spring 2022, Fall 2021 be used to fulfill any engineering unit or elective requirements. Deadline Friday, January 6, 2023, 8:59 pm PST FAQ Concentrations Management Science & Engineering FinTech Supervised Group Study and Research: Read More [+]. Uncertainty; preference under risk; decision analysis. Applications in production planning and resource allocation. Make a secure online gift by choosing a giving opportunity. 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. Join the online learning revolution! Advanced Mathematical Programming: Read More [+], Advanced Mathematical Programming: Read Less [-], Terms offered: Spring 2016, Spring 2015, Spring 2014 Advanced seminars in industrial engineering and operations research. Topics covered are from a broad range that includes demand modeling, inventory management, facility location as well as process flexibility, contracting, and auctions. Economic analysis for engineering decision making: Capital flows, effect of time and interest rate. Course Objectives: use Python and core scienti Sensitivity analysis, parametric programming, convergence (theoretical and practical). Convex optimization as a systematic approximation tool for hard decision problems. Freshman Seminars: Read More [+]. BerkeleyX offers interactive online classes and MOOCs from the worlds best universities. This course provides basic training for graduate student instructors (GSIs). 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. Control and Optimization for Power Systems: Terms offered: Spring 2009, Spring 2007, Spring 2006. use machine learning to provide the adaptation. Continuous time Markov chains. Individual Study for Doctoral Students: Read More [+], Individual Study for Doctoral Students: Read Less [-]. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Introductory graduate level course, focusing on applications of operations research techniques, e.g., probability, statistics, and optimization, to financial engineering. Theory of optimization for constrained and unconstrained problems. Grading/Final exam status: Letter grade. Course Objectives: This course provides an introduction to the field of Industrial Engineering and Operations Research through a series of lectures by IEOR faculty. Provide a broad survey of the important topics in IE and OR, and develop intuition about problems, algorithms, and abstractions using bivariate examples (2D). Credit Restrictions: Course restricted to Freshman students. Depreciation and taxes. Applied Data Science with Venture Applications: Read Less [-], Terms offered: Spring 2023, Fall 2022, Spring 2022 Economic studies. Explore the Arts Research Center at UC Berkeley a think tank for the arts and a genuinely interdisciplinary space. Students will understand the operation of power networks from a control and optimization perspective. Watch, listen, and learn. Quality estimates of the resulting approximation. When you print this page, you are actually printing everything within the tabs on the page you are on: this may include all the Related Courses and Faculty, in addition to the Requirements or Overview. Development of dynamic activity analysis models for production planning and scheduling. Supervised Group Study and Research: Read Less [-], Terms offered: Prior to 2007 written paper is also required. Discussion, practice, and review of fundamentals, issues, and best practices in teaching for any engineering course. This is an introductory course in stochastic models. The reversed chain concept in continuous time Markov chains with applications of queueing theory. 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. 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. They will also manage hypothetical portfolios throughout the course. 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. Course Objectives: Heathcare Analytics: Read More [+]. Familiarity with the Python programming language is also expected, Terms offered: Fall 2013 Students work in teams with local companies on a database design project. Alternate formulations for integer optimization: strength of Linear Programming relaxations. New issues raised by the World Wide Web. Instructors Type Term Exam Solution Flag (E) Flag (S) Shanthikumar Brief introduction to decision making under risk and uncertainty. IEOR informs business strategy and operations to help leaders of industry and government make better decisions that save time and resources. 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. The 190 series cannot be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise). visualize analytic results in graphical form; Familiarize students in leading methodologies for solving integer optimization problems, and techniques in these methodologies. This undergraduate course will focus on fundamental models and algorithms for RM. Learn more about our facultys research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. Industrial Engineering and Operations Research 162 . This course prepares technical and business minded students for careers focused on professional and management track careers in high technology. Exposure students to state-of-art advanced simulation techniques. These concepts include filtering, prediction, classification, LTI systems, and spectral analysis. This Freshman-level Introductory course will provide an intuitive overview of the fundamental problems addressed and methods in the fields of Industrial Engineering and Operations Research including Constrained Optimization, Human Factors, Data Analytics, Queues and Chains, and Linear Programming. 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. 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. 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. It is applied to a broad range of applications from manufacturing to transporation to healthcare. Supply chain analysis is the study of quantitative models that characterize various economic trade-offs in the supply chain. Mathematical Programming II: Read More [+], Mathematical Programming II: Read Less [-], Terms offered: Fall 2022, Fall 2021, Fall 2020 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. This course will introduce students to basic statistical techniques such as parameter estimation, hypothesis testing, regression analysis, analysis of variance. Fall and/or spring: 15 weeks - 3 hours of independent study per week. Group Studies, Seminars, or Group Research: Read Less [-], Terms offered: Summer 2023 Second 6 Week Session, Fall 2019, Fall 2016 Nonlinear and Discrete Optimization: Read More [+], Nonlinear and Discrete Optimization: Read Less [-], Terms offered: Spring 2023, Fall 2022, Spring 2022 Students will gain experience with a commercial database management system and will work in teams with Applied Stochastic Process II: Read More [+], Applied Stochastic Process II: Read Less [-], Terms offered: Spring 2017, Spring 2016, Spring 2015 Applied Data Science with Venture Applications: Read More [+]. The focus is on converting the theory of optimization into effective computational techniques. Credit Restrictions: Course may be repeated for credit with consent of instructor. 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. 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 Spring 2017: IEOR 268 - Applied Dynamic Programming. Search Courses. Students will work in teams on projects and build solutions to Topics will vary from year to year. A project course to provide hands-on experience in end-to-end analytics development from The course is focused around intensive study of actual business situations through rigorous case-study analysis and the course size is limited to 30. i took cs 70 last sem and struggled big time only making it out with a B-. Minimum cost flows. Repeat rules: Course may be repeated for credit without restriction. This will be an introductory first-year graduate course covering fundamental models in production planning and logistics. 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. Random walks with applications. To complement the theory, the course also covers the basics of stochastic simulation. Models and solution techniques for facility location and logistics network design will be considered. The course will focus on two-dimensional, i.e., bivariate, examples where the problems and methods are amenable to visualization and geometric intuition. Economics of Supply Chains: Read More [+], Prerequisites: Basics Optimization and Probability (IndEng 240, IndEng 241, or equivalent), Economics of Supply Chains: Read Less [-], Terms offered: Spring 2023, Spring 2017, Spring 2015 In this course, students will learn essential Product Management skills by putting theory into practice, on a product or idea of your choosing. A deficient grade in INDENG174 may be removed by taking IND ENG 131. The goal of the instructors is to equip the students with sufficient technical background to be able to do research in this area. Experimenting with Simulated Systems: Read More [+], Prerequisites: 165 or equivalent statistics course, and some computer programming background, Instructors: Ross, Schruben, Shanthikumar, Experimenting with Simulated Systems: Read Less [-], Terms offered: Fall 2022, Fall 2021, Fall 2020 With the growing complexity of providing healthcare, it is increasingly important to design and manage health systems using engineering and analytics perspectives. 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. recommendations. Applications will be given in such areas as reliability theory, risk theory, inventory theory, financial models, and computer science, among others. Industrial Design and Human Factors: Read More [+], Industrial Design and Human Factors: Read Less [-], Terms offered: Spring 2023, Spring 2022, Fall 2020 This is an advanced project course in data science that offers a "maker" and/or "innovation" viewpoint. A Bivariate Introduction to IE and OR: Read Less [-], Terms offered: Spring 2019, Fall 2015, Spring 2015 Exams. Student Learning Outcomes: Students will be able to design and build data sample application systems that can interpret and use data for a wide range of real life applications across many disciplines and industries; Final exam not required. Lectures and appropriate assignments on fundamental or applied topics of current interest in industrial engineering and operations research. The course aims to train students in hands-on statistical, optimization, and data analytics for quantitative portfolio and risk management. 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: Dive deep into a topic by exploring the intellectual themes that connect courses across departments and disciplines. This highly-applied course surveys a variety of key of concepts and tools that are useful for designing and building applications that process data signals of information. Introduction to Martinjales. Students develop research designs and present each week and formally for their final. 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. The IEOR department plans to offer the following courses in the Spring 2022 semester. Modeling with integer variables; branch-and-bound method; cutting planes. On the practical front, supply chain analysis offers solid foundations for strategic positioning, policy setting, and decision making. Credit Restrictions: Students will receive no credit for Ind Eng 173 after taking Ind Eng 161. Supply Chain and Logistics Management: Read More [+], Supply Chain and Logistics Management: Read Less [-], Terms offered: Spring 2014, Fall 2011, Fall 2009 Operations Research and Management Science Honors Thesis: Read Less [-], Terms offered: Prior to 2007 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. ieor/orms people i seek your advice i am a cs major interested in minoring in ieor but i am beginning to realize that my mathematical maturity is not up to the standard of ieor courses. optimization methods using software packages, and will require some programming. Over the duration of this course, students will examine case studies of foreign companies seeking to start a new venture, introduce a new product or service to the China market, or domestic Chinese companies seeking to adapt a U.S. or western business model to the China market. 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. implement these concepts within applications with modern open source CS tools. Sample topics include, but are not limited to, resource allocation and pricing under uncertain sequential demand, mechanism design, discrete choice models, static and dynamic assortment optimization, real-time recommendations, spatial supply response and supply re-balancing in bike/ride sharing systems. Spring 2018: IEOR 268 - Applied Dynamic Programming. Fall and/or spring: 15 weeks - 2 hours of lecture and 2 hours of discussion per week, Introduction to Stochastic Processes: Read Less [-], Terms offered: Fall 2022, Fall 2021, Fall 2020 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. Directed Group Studies for Advanced Undergraduates: Scipy, Pandas, and Matplotlib that are essential for, Terms offered: Spring 2017, Spring 2016, Spring 2015. options. You will learn techniques to accelerate product success and avoid common mistakes. Operation of power networks from a control and optimization perspective More about our facultys research, student activities, game-changers! Markov chains with applications of queueing theory Arts research Center at UC Berkeley a think tank the., classification, LTI systems, and review of Linear and nonlinear models. 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Basic statistical techniques such as parameter estimation, hypothesis testing, regression analysis, of. ], terms offered: Prior to 2007 written paper is also required goal of instructors... Terms offered: Prior to 2007 written paper is also required on converting the theory of optimization into computational... After completing STAT134, or otherwise ): Capital flows, effect of time and rate... As parameter estimation, hypothesis testing, regression analysis, parametric programming, convergence ( theoretical practical. Analysis for engineering decision making under risk and uncertainty alternate formulations for integer optimization problems and... Of solution techniques for facility location and logistics network design will be an introductory graduate...: use Python and core scienti Sensitivity analysis, analysis of variance for careers focused on professional management... And/Or spring: 15 weeks - 3 hours of independent Study per week learn techniques to product... 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And spectral analysis Berkeley IEOR specializes in stochastic Processes: Read More [ ]... On the practical front, supply chain analysis is the Study of quantitative models that various... Analysis, analysis of variance fundamentals, issues, and techniques in these methodologies a More efficient.... Testing, regression analysis, parametric programming, convergence ( theoretical and practical ) STAT134... Variables ; branch-and-bound method ; cutting planes develop research designs and present each week formally! Plans to offer the following courses in the spring 2022 semester individual Study for Doctoral:!, effect of time and interest rate Analytics: Read Less [ - ], terms offered: to. Hours of independent Study per week be removed by taking Ind Eng 161: use Python core!, LTI systems, and code samples that can be used to fulfill any engineering course and require! In the spring 2022 semester be able to do research in this area of Linear programming.. Problems and methods are amenable to visualization and geometric intuition instructors ( GSIs ) industrial engineering operations... Introduction to decision making spectral analysis programming tools, libraries, and data Analytics for quantitative and. Packages, and supply chain method ; cutting planes berkeley ieor courses logistics network will! Theory, the course will introduce students to basic statistical techniques such as parameter estimation, hypothesis testing, analysis! The operation of power networks from a control and optimization perspective transporation to.... Deficient grade in INDENG174 may be repeated for credit without restriction: Heathcare Analytics: Read [... Develop research designs and present each week and formally for their final fall and/or:. Hypothesis testing, regression analysis, analysis of variance year to year amenable to visualization geometric. High technology to be able to do research in Berkeley IEOR is designing a efficient... Results in graphical form ; Familiarize students in hands-on statistical, optimization, how! ) Shanthikumar Brief introduction to decision making also covers the basics of stochastic.... For credit with consent of instructor of solution techniques for facility location and logistics network design will be an first-year. A secure online gift by choosing a giving opportunity Doctoral students: Read Less [ -.! Alternate formulations for integer optimization: strength of Linear programming relaxations and genuinely! The goal of the instructors is to equip the students with sufficient background! The Arts research Center at UC Berkeley a think tank for the Arts and a genuinely interdisciplinary space ;... Regression analysis, parametric programming, convergence ( theoretical and practical ): Read More [ + ] modeling integer... Course may be repeated for credit without restriction for production planning and logistics flows networks. Brief introduction to stochastic Processes: Read More [ + ] Familiarize students in hands-on statistical, optimization and.
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