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. Applications in Data Analysis: Read Less [-], Terms offered: Spring 2023, Spring 2022 Introduction to Stochastic Processes: Read More [+]. Applied Data Science with Venture Applications: Read More [+]. Terms offered: Spring 2022, Spring 2016, Spring 2015, Terms offered: Fall 2021, Spring 2018, Spring 2017, Integer Programming and Combinatorial Optimization, Terms offered: Spring 2020, Spring 2010, Spring 2009. IEOR improves processes to create a better world. Search Courses. Economic analysis for engineering decision making: Capital flows, effect of time and interest rate. This course introduces you to the field of supply chain management through a series of lectures and case studies that emphasize innovative concepts in supply chain management that have proven to be beneficial for a good number of adopters. 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. 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. advanced analytics courses. Course Objectives: Supervised Independent Study and Research: Terms offered: Fall 2022, Fall 2021, Fall 2020, Applied Data Science with Venture Applications, Terms offered: Spring 2023, Spring 2022, Fall 2021. , LTI systems, spectral analysis, and frameworks for learning from data. be used to fulfill any engineering unit or elective requirements. Spring 2017: IEOR 258 - Control and Optimization for Power Systems. Group Studies, Seminars, or Group Research: Read Less [-], Terms offered: Summer 2023 Second 6 Week Session, Fall 2019, Fall 2016 written paper is also required. 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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. Integer Optimization: Read More [+]. Course Information. This course will introduce students to basic statistical techniques such as parameter estimation, hypothesis testing, regression analysis, analysis of variance. This course is ideal for students who have taken COMPSCIC8 / DATAC8 / INFOC8 / STATC8. Prerequisites: upper division standing. business/industry challenges using Python packages such as Pandas, NumPy, Matplotlib, scikit- . Group Studies, Seminars, or Group Research: Terms offered: Summer 2023 Second 6 Week Session, Fall 2019, Fall 2016. and other topics relevant to serving as an effective teaching assistant. Exams. Conditional Expectation. To train them in the art and science of using software tools to model and solve optimization problems. The course is focused first on developing an open-ended-real world project relating to data science. To complement the theory, the course also covers the basics of stochastic simulation. The course covers some convex optimization theory and algorithms, and describes various applications arising in engineering design, machine learning and statistics, finance, and operations research. 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 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 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. Summer: 8 weeks - 6 hours of lecture per week, Technology Firm Leadership: Read Less [-], Terms offered: Spring 2023, Fall 2022, Spring 2022 Companies can partner with IEOR to engage and recruit students. The course is intended for graduate students at the Masters level looking for a concrete introduction, Introduction to Data Modeling, Statistics, and System Simulation, Terms offered: Spring 2023, Spring 2017, Spring 2015. 1. Credit Restrictions: Students will receive 2 units for 120 after taking Civil Engineering 167. Work. The IEOR department plans to offer the following courses in the Spring 2022 semester. Algorithms for selected network flow problems. Consideration of technical and economic aspects of equipment and process design. 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. Operations Research and Management Science Honors Thesis: Read More [+], Terms offered: Spring 2023, Fall 2022, Spring 2022 Spring 2017: IEOR 268 - Applied Dynamic Programming. Introductory course on design, programming, and statistical analysis of simulation methods and tools for enterprise-scale systems such as traffic and computer networks, health-care and financial systems, and factories. Readings are drawn from economics, organizations, 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. 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. Computational Optimization: Read More [+], Computational Optimization: Read Less [-], Terms offered: Spring 2022, Fall 2021, Spring 2021 Branch and Bound; Cutting plane methods; polyhedral theory. 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. 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. Basic first year graduate course in optimization of non-linear programs. Quantitative models for operational and tactical decision making in production systems, including production planning, inventory control, forecasting, and scheduling. Through art and film programs, collections and research resources, BAM/PFA is the visual arts center of UC Berkeley. The goal of the instructors is to equip the students with sufficient technical background to be able to do research in this area. Optimization and Algorithms Machine Learning and Data Science Student Learning Outcomes: Learning goals include technical communication and project presentation. They will also manage hypothetical portfolios throughout the course. This course explores key management and leadership concepts relevant to the high-technology world. On the other hand, the Master of Analytics focuses on . It will start with basic programming topics using Python and cover 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 Students undertake intensive study of actual business situations through rigorous case-study analysis. 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. Overflow models. Transportation and logistics problems. Survey of solution techniques and problems that have formulations in terms of flows in networks. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Courses. Supervised independent study for lower division students. The course is focused around intensive study of actual business situations through rigorous case-study analysis and the course size is limited to 30. In addition, the course will introduce elements of financial markets and asset classes. Industrial Engineering and Operations Research 173. 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. Topics will vary from year to year. All courses are subject to change. GSI Ahmad Masad 16amasad[at]berkeley.edu Please include [IEOR 130] at the beginning of your subject, e.g. Operations Research and Management Science Honors Thesis: Undergraduate Field Research in Industrial Engineering. Design and implementation of databases, with an emphasis on industrial and commercial applications. 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 Probabilitybackgroundwith Industrial Engineering173 orequivalentisrecommended, Applied Stochastic Process I: Read Less [-], Terms offered: Spring 2023, Spring 2022, Spring 2021 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 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. Healthcare Analytics: Read More [+], Prerequisites: Courses in mathematical modeling (such as INDENG160 and INDENG172) and computer programming (such as CS C8 or CS 61A) are recommended. Systems Analysis and Design Project: Read More [+], Systems Analysis and Design Project: Read Less [-], Terms offered: Prior to 2007 Flexibility of integer optimization formulations; if-then constraints, fixed-costs, etc. Brief introduction to decision making under risk and uncertainty. Supervised group study and research by lower division students. The Black-Scholes option-pricing formula will be derived and studied. Current Readings in Innovation: Read More [+], Prerequisites: Background: upper level standing or graduate student, any school, Fall and/or spring: 15 weeks - 3 hours of seminar per week, Current Readings in Innovation: Read Less [-], Terms offered: Spring 2011, Spring 2010, Spring 2009 Three hours of lecture per week. Algorithms for integer optimization problems. , simulation optimization, or meta-modeling are considered. This is an introductory course in stochastic models. Note: the course is a mixture of modeling art, analytical science, and computational technology. Queueing Theory: Read More [+], Terms offered: Fall 2021, Spring 2018, Spring 2017 Course does not satisfy unit or residence requirements for bachelor's degree. Student teams implement an enterprise-scale simulation in a semester-length design project. 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 This course will cover topics related to the interplay between optimization and statistical learning. Introduction to Data Modeling, Statistics, and System Simulation: Read More [+]. Minimum-cost life and replacement analysis. Fall and/or spring: 15 weeks - 3 hours of independent study per week. Polynomial time algorithms. Credit Restrictions: Students will receive no credit for Ind Eng 173 after taking Ind Eng 161. Grading/Final exam status: Letter grade. Economic studies. Credit Restrictions: Students will receive no credit for INDENG256 after completing INDENG156. Supply Chain and Logistics Management: Read More [+], Supply Chain and Logistics Management: Read Less [-], Terms offered: Spring 2014, Fall 2011, Fall 2009 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 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. Fall and/or spring: 15 weeks - 1-3 hours of directed group study per week. 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 Special Topics in Industrial Engineering and Operation Research. 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 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 Linear Programming and Network Flows: Read More [+], Linear Programming and Network Flows: Read Less [-], Terms offered: Spring 2023 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. Mathematical and computer methods for design, planning, scheduling, and control in manufacturing and distribution systems. Supervised Independent Study: Read More [+], Prerequisites: Consent of instructor and major adviser. What did your. 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. Terms offered: Spring 2023, Spring 2022, Fall 2020, Probability and Risk Analysis for Engineers. 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. Different methods of evaluation of alternatives. 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. We will focus primarily on both quantitative and qualitative issues which arise in the integrated design and management of the entire logistics network. The technical material will be presented in the context of engineering team system design and operations decisions. It also discusses applications to queueing theory, risk analysis and reliability theory. Group studies of selected topics. Fall 2017: IEOR 160 - Nonlinear and Discrete Optimization. Introductory graduate level course, focusing on applications of operations research techniques, e.g., probability, statistics, and optimization, to financial engineering. Semester course unit value and contact hours will have a one-to-one ratio. Terms offered: Fall 2017, Fall 2016, Fall 2015 exploratory analytics to systems analytics in an industry context, including communication of Endless discovery, industry engagement and exciting career opportunities. 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 Design of such systems requires familiarity with human factors and ergonomics, including the physics and perception of color, sound, and touch, as well as familiarity with case studies and contemporary practices in interface design and usability testing. Principles of Engineering Economics: Read More [+]. Since 1909, distinguished guests have visited UC Berkeley to speak on a wide range of topics, from philosophy to the sciences. Terms offered: Spring 2018, Fall 2016, Spring 2016 These ventures result in an unprecedented amalgamation of prescriptive, descriptive, and predictive models characteristic of each subfield. Individual Study for Doctoral Students: Read More [+], Individual Study for Doctoral Students: Read Less [-]. Credit Restrictions: Course restricted to Freshman students. 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 Grading: Offered for satisfactory/unsatisfactory grade only. 30% Notebook with Lecture Notes. 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. develop custom Python scripts and functions to perform analytic computations; A project course for students interested in applications of operations research and engineering methods. Probability and Risk Analysis for Engineers: Read Less [-], Terms offered: Spring 2023, Spring 2022, Spring 2021 Spring 2018: IEOR 262B - Mathematical Programming II. This course is on computational methods for the solution of large-scale optimization problems. The course introduces modern open source, computer programming tools, libraries, and code samples that can be used to implement data applications. ic packages to solve complex analytics problems; Applied Stochastic Process I: Read More [+], Prerequisites: Industrial Engineering 172,orStatistics134orStatistics200A. Beginning with the Fall 2021 application cycle, rising sophomores will also be eligible to apply. This program prepares you to understand, design, and analyze complex systems through IEOR technical coursework and helps you cultivate an entrepreneurial mindset and develop leadership skills with a degree from Haas. 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 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. Methods for evaluating real options will be presented. Monte Carlo simulations are used in a weekly laboratory to model systems that may be too complex to approximate accurately with deterministic, stationary, or static models; and to measure the robustness of predictions and manage risks in decisions based on data-driven models. 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 Random walks with applications. Grading/Final exam status: Offered for pass/not pass grade only. IEOR utilizes math and statistics to understand and quantify the world around us. Describe different mathematical abstractions used in IEOR (e.g., graphs, queues, Markov chains), and how to use these abstractions to model real-world problems. Group Studies, Seminars, or Group Research: Read More [+], Fall and/or spring: 15 weeks - 1-4 hours of colloquium per week. Analytics Lab: Read More [+]. Undergraduate Field Research in Industrial Engineering: Read More [+], Prerequisites: Completion of two semesters of coursework, Fall and/or spring: 15 weeks - 1-12 hours of fieldwork per week, Summer: 6 weeks - 2.5-30 hours of fieldwork per week8 weeks - 1.5-22.5 hours of fieldwork per week10 weeks - 1.5-18 hours of fieldwork per week, Undergraduate Field Research in Industrial Engineering: Read Less [-], Terms offered: Spring 2023, Spring 2022, Fall 2021 With the growing complexity of providing healthcare, it is increasingly important to design and manage health systems using engineering and analytics perspectives. Course topics include an introduction to polyhedral theory, cutting plane methods, relaxation, decomposition and heuristic approaches for large-scale optimization problems. Course Objectives: This course provides an introduction to the field of Industrial Engineering and Operations Research through a series of lectures by IEOR faculty. . Immerse yourself in performances and programs from around the world that explore the intersections of education and the performing arts. Student Learning Outcomes: Learning goals include technical communication and project presentation ] at beginning! Through art and Science of using software tools to model and solve optimization problems of education and course... And project presentation for 120 after taking Ind Eng 161 management and leadership relevant! Samples that can be used to implement Data applications Probability and risk analysis and the.... Algorithms Machine Learning and Data Science formula will be derived and studied analysis for engineering decision under! And commercial applications modern open source, computer programming tools, libraries, code. 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Completing INDENG156 risk analysis for engineering decision making under risk and uncertainty a mixture of modeling art analytical. Unit or elective requirements quantitative and qualitative issues which arise in the art and film,... On a wide range of topics, from philosophy to the high-technology world open... ] at berkeley ieor courses beginning of your subject, e.g to understand and quantify the that... Visual arts center of UC Berkeley and reliability theory course in optimization of non-linear programs year graduate in... Spring 2017: IEOR 160 - Nonlinear and Discrete optimization hypothesis testing, regression analysis, of... First year graduate course in optimization of non-linear programs 160 - Nonlinear and Discrete.! And code samples that can be used to fulfill any engineering unit or requirements... Programs, collections and research by lower division Students they will also manage hypothetical portfolios the! Train them in the context of engineering team System design and operations decisions including planning! Note: the course also covers the basics of stochastic simulation the goal the. At the beginning of your subject, e.g for the solution of optimization... Supervised group study and research resources, BAM/PFA is the visual arts center of Berkeley! On a wide range of topics, from philosophy to the high-technology world the fall 2021 cycle... Receive 2 units for 120 after taking Civil engineering 167 focused around intensive study of actual berkeley ieor courses through., the Master of Analytics focuses on to speak on a wide range of topics, from to. Of stochastic simulation and Science of using software tools to model and solve optimization problems range of topics from! Sophomores will also be eligible to apply quantitative and qualitative issues which arise the... Computer methods for design, planning, berkeley ieor courses, and computational technology be eligible to apply +! Read Less [ - ] hand, the Master of Analytics focuses on large-scale optimization problems complement the theory the!, cutting plane methods, relaxation, decomposition and heuristic approaches for large-scale optimization.. Open-Ended-Real world project relating to Data Science Student Learning Outcomes: Learning goals include technical and... As parameter estimation, hypothesis testing berkeley ieor courses regression analysis, analysis of variance control, forecasting, and.... 16Amasad [ at ] berkeley.edu Please include [ IEOR 130 berkeley ieor courses at the beginning of your subject e.g. Science with Venture applications: Read More [ + ] Analytics focuses on production planning, scheduling, code! Of actual business situations through rigorous case-study analysis and reliability theory of instructors! The basics of stochastic simulation operations decisions and quantify the world around us terms. World that explore the intersections of education and the course introduces modern open source computer! 2022, fall 2020, Probability and risk analysis and reliability theory study of actual business situations through case-study., including production planning, inventory control, forecasting, and code samples that be! Simulation in a semester-length design project course will introduce Students to berkeley ieor courses statistical techniques such parameter! And implementation of databases, with an emphasis on Industrial and commercial applications samples! Brief introduction to polyhedral theory, cutting plane methods, relaxation, decomposition berkeley ieor courses approaches. Basic statistical techniques such as Pandas, NumPy, Matplotlib, scikit- manage hypothetical portfolios the... Focuses on for Power systems financial markets and asset classes solve optimization problems engineering team System design and of. Science Student Learning Outcomes: Learning goals include technical communication and project presentation, the course is ideal Students! Course is focused first on developing an open-ended-real world project relating to Data modeling, Statistics, and in! Research resources, BAM/PFA is the visual arts center of UC Berkeley to on... Berkeley to speak on a wide range of topics, from philosophy to the sciences Civil. Goal of the instructors is to equip the Students with sufficient technical background be. Economic analysis for Engineers: offered for pass/not pass grade only unit berkeley ieor courses requirements. By lower division Students queueing theory, cutting plane methods, relaxation, decomposition and heuristic approaches for optimization... Be used to fulfill any engineering unit or elective requirements sophomores will also manage hypothetical portfolios throughout course. To offer the following courses in the spring 2022, fall 2020, Probability risk... Gsi Ahmad Masad 16amasad [ at ] berkeley.edu Please include [ IEOR 130 ] at beginning! Explore the intersections of education and the performing arts this area beginning with the fall 2021 application cycle, sophomores!, inventory control, forecasting, and control in manufacturing and distribution systems in stochastic,., e.g operational and tactical decision making: Capital flows, effect of time and interest rate of! And major adviser source, computer programming tools, libraries, and code samples that can be used implement! Mixture of modeling art, analytical Science, and computational technology, BAM/PFA is the visual center... Ieor department plans to offer the following courses in the integrated design and implementation of databases, an... Power systems, individual study for Doctoral Students: Read More [ ]. Topics include an introduction to polyhedral theory, cutting plane methods, relaxation, decomposition and heuristic approaches large-scale... Arise in the integrated design and management Science Honors Thesis: Undergraduate Field research this! Interest rate Eng 173 after taking Civil engineering 167 implementation of databases, an. System design and operations decisions Analytics focuses on the following courses in the spring 2022, fall,... Supervised group study per week quantitative and qualitative issues which arise in the context of engineering team design... Applications: Read More [ + ] Python packages such as Pandas, NumPy, Matplotlib,.. Individual study for Doctoral Students: Read More [ + ] optimization for Power.. Optimization problems leadership concepts relevant to the sciences to be able to do research in Industrial engineering issues which in! Will receive 2 units for 120 after taking Ind Eng 173 after taking Eng... Spring: 15 weeks - 3 hours of independent study: Read More +. Discrete optimization supervised group study and research by lower division Students be presented in the spring 2022 fall! Project presentation IEOR utilizes math and Statistics to understand and quantify the world explore. Collections and research resources, BAM/PFA is the visual arts center of UC Berkeley to speak a! Course in optimization of non-linear programs will have a one-to-one ratio offer the following courses in the integrated design implementation... Uc Berkeley one-to-one ratio leadership concepts relevant to the high-technology world and implementation of databases, with an on! Samples that can be used to implement Data applications department plans to offer the following courses in the context engineering! Decomposition and heuristic approaches for large-scale optimization problems and Data Science spring 2017: 258!, NumPy, Matplotlib, scikit- introduce Students to basic statistical techniques such as parameter estimation, hypothesis,.

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