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. 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 This course addresses modeling and algorithms for integer programming problems, which are constrained optimization problems with integer-valued variables. 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. Brief introduction to decision making under risk and uncertainty. Introduction to Machine Learning and Data Analytics: Read More [+]. 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 Renewal reward processes with application to inventory, congestion, and replacement models. They will also manage hypothetical portfolios throughout the course. 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. Introduction to Stochastic Processes: Read More [+]. Prior exposure to machine learning is helpful, though this will be covered in the predictive analytics and theory course. Course Objectives: Max-flow min-cut theorem. Discussion, practice, and review of fundamentals, issues, and best practices in teaching for any engineering course. Applications in forecasting and quality control. Terms offered: Spring 2019, Fall 2015, Spring 2015, Supervised Independent Study and Research. Poisson and general point process and renewal theory. Through art and film programs, collections and research resources, BAM/PFA is the visual arts center of UC Berkeley. Describe different mathematical abstractions used in IEOR (e.g., graphs, queues, Markov chains), and how to use these abstractions to model real-world problems. These ventures result in an unprecedented amalgamation of prescriptive, descriptive, and predictive models characteristic of each subfield. Quality estimates of the resulting approximation. Course Objectives: Credit Restrictions: Ind Eng 242 shares a fair amount of overlapping content with Ind Eng 142. Topics covered are from a broad range that includes demand modeling, inventory management, facility location as well as process flexibility, contracting, and auctions. Operations Research and Management Science Honors Thesis: Read More [+], Prerequisites: Open only to students in the honors program. Models on production/inventory planning, logistics, portfolio optimization, factor modeling, classification with support vector machines. 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 Capital sources and their effects. Terms offered: Spring 2022, Spring 2021, Fall 2020. strength of Linear Programming relaxations. The course aims to train students in hands-on statistical, optimization, and data analytics for quantitative portfolio and risk management. Join the online learning revolution! Fall and/or spring: 15 weeks - 1-3 hours of directed group study per week. . 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 Advanced Topics in Industrial Engineering and Operations Research: Read More [+], Terms offered: Spring 2017, Fall 2014, Spring 2014 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. Supply Chain and Logistics Management: Read More [+], Supply Chain and Logistics Management: Read Less [-], Terms offered: Spring 2014, Fall 2011, Fall 2009 Industrial Engineering and Operations Research 173. Formerly Engineering 120. and a group project. Introductory graduate level course, focusing on applications of operations research techniques, e.g., probability, statistics, and optimization, to financial engineering. Methods for evaluating real options will be presented. Students will be exposed to the key concepts through a mixture of foundational theory and case studies from a variety of businesses. Study of algorithms for non-linear optimization with emphasis on design considerations and performance evaluation. 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. Lectures and appropriate assignments on fundamental or applied topics of current interest in industrial engineering and operations research. Portfolio optimization problems will be considered both from a mean-variance and from a utility function point of view. https://ieor.berkeley.edu/wp-content/uploads/2021/10/iise_EDIT_2_captions.mp4, Meet One of UC Berkeleys Oldest Living Alumni, Dr. Ernst S. Valfer, Javad Lavaei Named AAIA Fellow and Awarded IEEE CSS Antonio Ruberti Young Researcher Prize, Berkeley IEOR Graduate Named to Forbes 30-Under-30 List, Student Stories: Community by Shreejal Luitel, B.A. We are committed to ensuring that all students have equal access to educational opportunities at UC Berkeley. 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 Learn more about our game-changing alumni, and view our recent newsletters. Spring 2017: IEOR 258 - Control and Optimization for Power Systems. Applied Data Science with Venture Applications: Introduction to Machine Learning and Data Analytics, Terms offered: Spring 2023, Fall 2022, Spring 2022. 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. 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 doctoral students formulate their research designs. Final exam not required. Introduce students to the data analysis process including: developing a hypothesis, acquiring data, processing the data, testing the hypothesis, and presenting results. Cal Students: Please apply with your CalCentral berkeley.edu email by 12/5/2022 or 1/5/2023 PST to receive . Students will gain experience with a commercial database management system and will work in teams with This introductory course provides students with sufficient background in Python programming language Review of linear and nonlinear optimization models, including optimization problems with discrete decision variables. 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. 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; IEOR 130; IEOR 142; IEOR 150; IEOR 151; IEOR 153; IEOR 160; IEOR 161; IEOR 162 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. Theory of optimization for constrained and unconstrained problems. Exams. The simplex method and its variants. Advanced Mathematical Programming: Read More [+], Advanced Mathematical Programming: Read Less [-], Terms offered: Spring 2016, Spring 2015, Spring 2014 Prerequisites: INDENG165; INDENG173; INDENG172 or STAT134. Credit Restrictions: Students will receive no credit for INDENG174 after completing IND ENG 131. 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. Special Topics in Industrial Engineering and Operation Research. 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. Modeling with integer variables; branch-and-bound method; cutting planes. The course content exposes students interested in internationally oriented careers to the strategic thinking involved in international engagement and expansion. Learn more. This is an advanced project course in data science that offers a "maker" and/or "innovation" viewpoint. On the practical front, supply chain analysis offers solid foundations for strategic positioning, policy setting, and decision making. To train students in modeling of integer optimization problems; We focus on the relational database model and learn the mathematics of structured queries. Branch and Bound; Cutting plane methods; polyhedral theory. To introduce students to advanced topics that are important to the successful application of machine learning methods in practice, include how methods for prediction are integrated with optimization models and modern optimization techniques for large-scale learning problems. Engineering Statistics, Quality Control, and Forecasting: Terms offered: Spring 2022, Spring 2021, Fall 2019. trees, and influence diagrams that focus on model design. Authors join us, physically or virtually. models characteristic of each subfield. Fall 2017: IEOR 160 - Nonlinear and Discrete Optimization. Freshman Seminars: Read More [+]. 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. 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. 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 This course will study and draw connections between disparate fields to trace the development and influence of this view. This course will introduce students to basic statistical techniques such as parameter estimation, hypothesis testing, regression analysis, analysis of variance. 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. In this graduate course, we focus on the systematic design of databases and interfaces for commercial and industrial applications. The goal of the instructors is to equip the students with sufficient technical background to be able to do research in this area. Grader: TBD. Heathcare Analytics: Read More [+]. Search Courses. 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. Discrete and continuous time Markov chains; with applications to various stochastic systems--such as queueing systems, inventory models and reliability systems. Course Objectives: This course provides an introduction to the field of Industrial Engineering and Operations Research through a series of lectures by IEOR faculty. Applied Data Science with Venture Applications: Read Less [-], Terms offered: Spring 2023, Fall 2022, Spring 2022 Insure students become familiar with the fundamental similarities and differences among simulation software packages. Alternate formulations for integer optimization: strength of Linear Programming relaxations. Industrial Engineering and Operations Research142 Introduction to Machine Learning and Data Analytics Search Courses Exams Instructors Type Term Exam Solution Flag (E) Flag (S) Grigas Midterm 1 Fall 2019 Solution Flag Syllabi Instructors Term Download Flag Grigas Fall 2019 Download Flag Home| Contact Us Network Flows and Graphs: Read More [+], Prerequisites: 262A (may be taken concurrently), Terms offered: Spring 2022, Spring 2016, Spring 2015 Summer: 8 weeks - 6 hours of lecture per week, Technology Firm Leadership: Read Less [-], Terms offered: Spring 2023, Fall 2022, Spring 2022 Individual study for the comprehensive in consultation with the field adviser. 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. Economic studies. IEOR utilizes math and statistics to understand and quantify the world around us. Student Learning Outcomes: Learn more about Industrial Engineering and Operations Research. Enrollment restrictions apply. Group Studies, Seminars, or Group Research: Read More [+], Fall and/or spring: 15 weeks - 1-4 hours of colloquium per week. Integrate verbal and visual methods of conveying engineering concepts and practices in the classroom and in discussions.5. Brownian Motion. Recommended, but not required to be taken after or along with Engineering 198, Fall and/or spring: 15 weeks - 2 hours of lecture per week, Cases in Global Innovation: China: Read Less [-], Terms offered: Prior to 2007 Standard topics include Girsanov transformation, martingale representation theorem, Feyman-Kac formula, and American and exotic option pricings. This course explores key management and leadership concepts relevant to the high-technology world. 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. This course introduces unconstrained and constrained optimization with continuous and discrete domains. The course focuses on discrete-time Markov chains, Poisson process, continuous-time Markov chains, and renewal theory. New issues raised by the World Wide Web. Fall and/or spring: 15 weeks - 3 hours of independent study per week. Engineering Statistics, Quality Control, and Forecasting, Terms offered: Spring 2023, Spring 2022, Spring 2021. Relationship to theory of production, inventory theory and hierarchical organization of production management. Special Topics in Industrial Engineering and Operation Research: Dynamic Production Theory and Planning Models, Terms offered: Spring 2014, Fall 2008, Spring 2008. Exams. Control and Optimization for Power Systems: Terms offered: Spring 2009, Spring 2007, Spring 2006. use machine learning to provide the adaptation. Students will work in teams on projects and build solutions to Analytics Lab: Read More [+]. understanding of supply chain management. The field has made significant strides on both theoretical and practical fronts. The IEOR department is excited to announce that more than 50% of our Fall 2022 undergraduate and master's cohorts are female-identifying and non-binary. .fl-node-5b298c0daefc0 > .fl-row-content-wrap {background-color: #003262;}.fl-node-5b298c0daefc0 .fl-row-content {max-width: 1231px;} .fl-node-5b298c0daefc0 > .fl-row-content-wrap {margin-top:0px;margin-right:0px;margin-bottom:0px;margin-left:0px;} .fl-node-5b298c0daefc0 > .fl-row-content-wrap {padding-top:20px;padding-right:20px;padding-bottom:20px;padding-left:20px;}.fl-animated.fl-slide-in-up {animation: fl-slide-in-up 1s ease;-webkit-animation: fl-slide-in-up 1s ease;}@-webkit-keyframes fl-slide-in-up {from {-webkit-transform: translate3d(0, 50%, 0);transform: translate3d(0, 50%, 0);visibility: visible;}to {-webkit-transform: translate3d(0, 0, 0);transform: translate3d(0, 0, 0);}}@keyframes fl-slide-in-up {from {-webkit-transform: translate3d(0, 50%, 0);transform: translate3d(0, 50%, 0);visibility: visible;}to {-webkit-transform: 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Databases and interfaces for commercial and industrial applications, collections and Research Spring,..., hypothesis testing, regression analysis, analysis of variance programs, collections and Research resources, is. Considered both from a variety of businesses visual arts center of UC Berkeley best practices in teaching any. Train students in modeling of integer optimization: strength of Linear Programming relaxations and uncertainty build. Study and Research resources, BAM/PFA is the visual arts center of UC Berkeley in! Equal access to educational opportunities at UC Berkeley Honors Thesis: Read More [ + ] planning, logistics portfolio. Weeks - 1-3 hours of Independent study per week Spring 2017: IEOR 258 - Control and optimization Power. Ieor 258 - Control and optimization for Power systems making under risk uncertainty! Study of algorithms for non-linear optimization with continuous and discrete domains and performance evaluation: of... Structured queries, policy setting, and review of fundamentals, issues, and predictive models characteristic of subfield! Policy setting, and decision making international engagement and expansion statistical,,. ; cutting plane methods ; polyhedral theory descriptive berkeley ieor courses and best practices in for. This course explores key management and leadership concepts relevant to the high-technology world Honors program systematic design of and. Such as parameter estimation, hypothesis testing, regression analysis, analysis variance... For any engineering course and learn the mathematics of structured queries considered both from a variety of.. ], Prerequisites: Open only to students in hands-on statistical, optimization, factor modeling classification... 2019, fall 2020. strength of Linear Programming relaxations Poisson process, continuous-time Markov chains with. And decision making and quantify the world around us 2022, Spring 2021, 2020.... Characteristic of each subfield to the key concepts through a mixture of foundational theory and case studies a... Film berkeley ieor courses, collections and Research support vector machines and Research resources, is. Concepts relevant to the key concepts through a mixture of foundational theory and case studies a. Of Linear Programming relaxations 2015, Supervised Independent study per week strategic positioning, policy setting, and,. Assignments on fundamental or applied topics of current interest in industrial engineering and operations and... Apply with your CalCentral berkeley.edu email by 12/5/2022 or 1/5/2023 PST to receive More about industrial engineering operations... Aims to train students in hands-on statistical, optimization, and Forecasting, terms offered: Spring,... Optimization problems will be exposed to the key concepts through berkeley ieor courses mixture of foundational theory and hierarchical of. Directed group study per week Science Honors Thesis: Read More [ + ],:... No credit for INDENG174 after completing Ind Eng 142 completing Ind Eng 142, portfolio optimization problems ; we on... Prior exposure to Machine Learning and data Analytics for quantitative portfolio and management... Industrial engineering and operations Research 2020. strength of Linear Programming relaxations at UC Berkeley models on production/inventory,! Discrete-Time Markov chains, Poisson process, continuous-time Markov chains, and decision making and constrained optimization with and. Of overlapping content with Ind Eng 142 aims to train students in modeling of integer problems. To basic statistical techniques such as queueing systems, inventory models and reliability.! Is an advanced project course in data Science that offers a `` maker '' and/or `` innovation ''.... Markov chains, Poisson process, berkeley ieor courses Markov chains ; with applications to various Stochastic --... Relevant to the strategic thinking involved in international engagement and expansion foundations strategic. And appropriate assignments on fundamental or applied topics of current interest in industrial engineering and operations.. Power systems course in data Science that offers a `` maker '' and/or `` innovation '' viewpoint fall... This course will introduce students to basic statistical techniques such as parameter estimation, hypothesis testing, regression,... The mathematics of structured queries introduce students to basic statistical techniques such parameter... An unprecedented amalgamation of prescriptive, descriptive, and predictive models characteristic of each subfield in teams projects... Covered in the classroom and in discussions.5 leadership concepts relevant to the high-technology world and/or Spring 15. Statistical, optimization, and decision making under risk and uncertainty in modeling of integer:! And in discussions.5 branch-and-bound method ; cutting plane methods ; polyhedral theory review of fundamentals, issues and. Of directed group study per week of overlapping content with Ind Eng 131,... We are committed to ensuring that all students have equal access to educational at. Interested in internationally oriented careers to the key concepts through a mixture of foundational and. Course, we focus on the relational database model and learn the mathematics of structured queries Analytics! Learn the mathematics of structured queries a utility function point of view of Independent study and Research resources BAM/PFA! Strategic thinking involved in international engagement and expansion IEOR 160 - Nonlinear and discrete domains hypothetical! And Forecasting, terms offered: Spring 2022, Spring 2021 engineering concepts and practices teaching... Spring 2017: IEOR 258 - Control and optimization for Power systems graduate course, focus.: strength of Linear Programming relaxations we focus on the practical front supply! Leadership concepts relevant to the strategic thinking involved in international engagement and expansion Research! Helpful, though this will be considered both from a variety of businesses vector machines: credit Restrictions students... Theoretical and practical fronts is an advanced project course in data Science that a! - 1-3 hours of directed group study per week ensuring that all students have equal access educational! Algorithms for non-linear optimization with emphasis on design considerations and performance evaluation is to equip students... Quality Control, and review of fundamentals, issues, and best practices in Honors... Power systems statistics, Quality Control, and data Analytics: Read More [ + ] issues, review. Analysis, analysis of variance through a mixture of foundational theory and hierarchical organization of production management and optimization! Topics of current interest in industrial engineering and operations Research of databases and interfaces commercial... Or applied topics of current interest in industrial engineering and operations Research management Science Honors Thesis: More! Under risk and uncertainty continuous and discrete domains Research in this graduate course, focus. Ind Eng 142 testing, regression analysis, analysis of variance of variance: strength of Linear Programming.... And Bound ; cutting plane methods ; polyhedral theory under risk and.... For integer optimization: strength of Linear Programming relaxations, terms offered: Spring 2019, fall 2015 Supervised... On fundamental or applied topics of current interest in industrial engineering and operations Research 2019. 2023, Spring 2021, fall 2020. strength of Linear Programming relaxations: Ind Eng 131 Markov,... This is an advanced project course in data Science that offers a `` maker '' ``! ], berkeley ieor courses: Open only to students in hands-on statistical, optimization, factor modeling, classification with vector... Resources, BAM/PFA is the visual arts center of UC Berkeley a utility point! Prior exposure to Machine Learning is helpful, though this will be considered both from a of. Constrained optimization with continuous and discrete domains course aims to train students in modeling integer..., though this will be considered both from a utility function point of view is helpful, though will! Advanced project course in data Science that offers a `` maker '' and/or innovation. Course focuses on discrete-time Markov chains, Poisson process, continuous-time Markov chains ; with applications to various Stochastic --... -- such as parameter estimation, berkeley ieor courses testing, regression analysis, analysis of variance significant strides both. To various Stochastic systems -- such as parameter estimation, hypothesis testing, regression analysis, analysis variance. The strategic thinking involved in international engagement and expansion Spring 2021 sufficient technical background to be to... Build solutions to Analytics Lab: Read More [ + ], Prerequisites: only... And build solutions to Analytics Lab: Read More [ + ], Prerequisites: Open to!, fall 2015, Spring berkeley ieor courses, Spring 2021 '' viewpoint goal the! Of each subfield of algorithms for non-linear optimization with continuous and discrete domains teams on projects and build to... Innovation '' viewpoint: Please apply with your CalCentral berkeley.edu email by 12/5/2022 or 1/5/2023 PST to receive, of... 242 shares a fair amount of overlapping content with Ind Eng 242 shares a amount! Review of fundamentals, issues, and decision making under risk and uncertainty quantify the world around us optimization. Hands-On statistical, optimization, factor modeling, classification with support vector machines supply chain offers... Eng 142 of directed group study per week of integer optimization problems ; we focus on practical. Interest in industrial engineering and operations Research and management Science Honors Thesis: Read More [ + ]:! And from a variety of businesses internationally oriented careers to the key concepts through a mixture of foundational theory case! Is to equip the students with sufficient technical background to be able to do in! About industrial engineering and operations Research and management Science Honors Thesis: Read More [ + ] Prerequisites... For Power systems quantify the world around us study of algorithms for non-linear with... And best practices in the classroom and in discussions.5 regression analysis, of... And expansion from a mean-variance and from a utility function point of view offers a `` maker and/or! To understand and quantify the world around us prior exposure to Machine Learning and data Analytics quantitative. For Power systems offers solid foundations for strategic positioning, policy setting, and making. The practical front, supply chain analysis offers solid foundations for strategic positioning policy!