Supply Chain Innovation, Strategy, and Analytics: Read More [+], Prerequisites: Introductory course on Production and Inventory Control or Operations Management, Supply Chain Innovation, Strategy, and Analytics: Read Less [-], Terms offered: Fall 2022, Fall 2021, Fall 2020 Please use this as a guide for planning purposes. Terms offered: Spring 2018, Fall 2016, Spring 2016 This is an advanced project course in data science that offers a "maker" and/or "innovation" viewpoint. Operations Research & Management Science, B.S. Branch and Bound; Cutting plane methods; polyhedral theory. South Asian companies seeking to adapt a U.S or western business model. Queueing Theory: Read More [+], Terms offered: Fall 2021, Spring 2018, Spring 2017 The course content exposes students interested in internationally oriented careers to the strategic thinking involved in international engagement and expansion. Grading: The grading option will be decided by the instructor when the class is offered. Familiarize students in leading methodologies for solving integer optimization problems, and techniques in these methodologies. 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. Models and solution techniques for facility location and logistics network design will be considered. Fall and/or spring: 15 weeks - 2 hours of lecture and 1 hour of discussion per week, Summer: 8 weeks - 4 hours of lecture and 2 hours of discussion per week, Principles of Engineering Economics: Read Less [-], Terms offered: Fall 2022, Fall 2021, Fall 2020 They will also manage hypothetical portfolios throughout the course. Students will be exposed to the key concepts through a mixture of foundational theory and case studies from a variety of businesses. Supervised group study and research by lower division students. Depreciation and taxes. Models on production/inventory planning, logistics, portfolio optimization, factor modeling, classification with support vector machines. Grading Based on: 30% Class Attendance and Participation. We are committed to ensuring that all students have equal access to educational opportunities at UC Berkeley. Algorithms for integer optimization problems. Individual study and research for at least one academic year on a special problem approved by a member of the faculty; preparation of the thesis on broader aspects of this work. 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 Supply Chain Operation and Management: Read More [+], Supply Chain Operation and Management: Read Less [-], Terms offered: Spring 2023, Spring 2022, Spring 2021, Spring 2020 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 Final exam not required. Grading/Final exam status: Offered for pass/not pass grade only. To train the students in the selection of appropriate techniques to be used for integer optimization problems. Tau Beta Pi Engineering Honor Society, California Alpha Chapter Continuous time Markov chains. Units may not be used to meet either unit or residence requirements for a master's degree. Cases in Global Innovation: China: Read More [+], Prerequisites: Junior or senior standing. 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 Dive deep into a topic by exploring the intellectual themes that connect courses across departments and disciplines. Introductory course on the theory and applications of decision analysis. Convex sets and convex functions; local optimality; KKT conditions; Lagrangian duality; steepest descent and Newton's method. Have students communicate their ideas and solutions effectively in written reports. 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. , and semi-martingales. They will also manage hypothetical portfolios throughout the course. 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. Special Topics in Industrial Engineering and Operation Research. GSI Proseminar on Teaching Engineering: Read More [+]. [IEOR 130] Questions for Homework 1 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. implement these concepts within applications with modern open source CS tools. Spring 2018: IEOR 262B - Mathematical Programming II. Random walks and the GI/G/l queues. IEOR leverages computing to better manage the massive amounts of information available today. Nonlinear and Discrete Optimization: Read More [+], Nonlinear and Discrete Optimization: Read Less [-], Terms offered: Spring 2023, Fall 2022, Spring 2022 Prerequisites: upper division standing. Course Objectives: Decision Analytics: Read More [+], Terms offered: Spring 2022, Spring 2021, Fall 2020 This course will introduce students to basic statistical techniques such as parameter estimation, hypothesis testing, regression analysis, analysis of variance. On the practical front, supply chain analysis offers solid foundations for strategic positioning, policy setting, and decision making. With the growing complexity of providing healthcare, it is increasingly important to design and manage health systems using engineering and analytics perspectives. Students work in teams with local companies on a database design project. Summer: 2 weeks - 15 hours of lecture and 10 hours of laboratory per week, Subject/Course Level: Industrial Engin and Oper Research/Graduate, Terms offered: Spring 2023, Fall 2022, Spring 2022 Exposure students to state-of-art advanced simulation techniques. 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 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. Applications will be given in such areas as reliability theory, risk theory, inventory theory, financial models, and computer science, among others. Advanced Topics in Industrial Engineering and Operations Research: Advanced Topics in Industrial Engineering and Operations Research: Entrepreneurial Marketing and Finance, Terms offered: Fall 2017, Spring 2014, Fall 2013. Directed Group Studies for Advanced Undergraduates: Scipy, Pandas, and Matplotlib that are essential for, Terms offered: Spring 2017, Spring 2016, Spring 2015. options. To train students in modeling of integer optimization problems; 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. This course is a probability course and cannot be used to fulfill any engineering unit or elective requirements. To complement the theory, the course also covers the basics of stochastic simulation. IEOR leverages computing to better manage the massive amounts of information available today. Students undertake intensive study of actual business situations through rigorous case-study analysis. Supervised Independent Study and Research: Read More [+], Prerequisites: Freshman or sophomore standing and consent of instructor, Fall and/or spring: 15 weeks - 1-4 hours of independent study per week, Summer: 8 weeks - 1.5-7.5 hours of independent study per week10 weeks - 1.5-6 hours of independent study per week, Supervised Independent Study and Research: Read Less [-], Terms offered: Fall 2022, Fall 2021, Fall 2020 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. Renewal reward processes with application to inventory, congestion, and replacement models. 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 The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Integrate verbal and visual methods of conveying engineering concepts and practices in the classroom and in discussions.5. Insure students become familiar with the fundamental similarities and differences among simulation software packages. 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 You can check their website here for information about their upcoming classes. Credit Restrictions: Students will receive no credit for INDENG256 after completing INDENG156. 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. WWW design and queries. Advanced Topics in Industrial Engineering and Operations Research: Read More [+], Terms offered: Spring 2017, Fall 2014, Spring 2014 IEOR improves processes to create a better world. Introductory graduate level course, focusing on applications of operations research techniques, e.g., probability, statistics, and optimization, to financial engineering. learn, Bokeh, and relevant optimization and simulation software. Applications on semiconductor manufacturing or other industrial settings. Terms offered: Spring 2019, Spring 2017 While these two programs share some core technical courses, the IEOR Master of Engineering program prepares students for engineering leadership and offers a curriculum with a balance of management and technical content. Authors join us, physically or virtually. 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 Provide students with concrete examples of how the mathematical tools from the class apply to real problems such as dieting, scheduling, and transportation. Familiarity with the Python programming language is also expected, Terms offered: Fall 2013 Models, algorithms, and analytical techniques for inventory control, production scheduling, production planning, facility location and logistics network design, vehicle routing, and demand forecasting will be discussed. Introduction to Data Modeling, Statistics, and System Simulation: Read More [+]. 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. Operations Research and Management Science Honors Thesis: Read More [+], Prerequisites: Open only to students in the honors program. Supervised Group Study and Research: Read More [+]. 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. 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. Graphical methods and computer software using event trees, decision trees, and influence diagrams that focus on model design. Linear Programming and Network Flows: Read More [+], Linear Programming and Network Flows: Read Less [-], Terms offered: Spring 2023 In this course, students will learn essential Product Management skills by putting theory into practice, on a product or idea of your choosing. Prerequisites: IEOR 165 or equivalent course in statistics. Design and implementation of databases, with an emphasis on industrial and commercial applications. Upon completion of the course students will have learned how to: This course provides an introduction to analysis, models, algorithms, research, and practical skills in the field and includes a laboratory component where students will learn and apply basic skills in computer programming and interfacing of sensors and motors that will culminate in a team design project. The course is focused around intensive study of actual business situations through rigorous case-study analysis and the course size is limited to 30. Students taking Ind Eng 242 cannot receive credit for Ind Eng 142. Supervised Independent Study: Read More [+], Prerequisites: Consent of instructor and major adviser. Final exam required. This course provides basic training for graduate student instructors (GSIs). Terms offered: Spring 2023, Spring 2022, Fall 2020, Probability and Risk Analysis for Engineers. IEOR improves processes to create a better 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. for use in analytics applications as well as potentially conducting research in the area. The course will discuss applications such as dieting, scheduling, and transportation. The main goal is to develop proficiency in common optimization modeling languages, and learn how to integrate them with underlying optimization solvers. Selected topics in mathematical programming. We will focus primarily on both quantitative and qualitative issues which arise in the integrated design and management of the entire logistics network. 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. Course does not satisfy unit or residence requirements for bachelor's degree. To acquire skills in the best modeling approach that is suitable to the practical problem at hand. Cal Students: Please apply with your CalCentral berkeley.edu email by 12/5/2022 or 1/5/2023 PST to receive . Research projects on current topics in information technology. Review of linear and nonlinear optimization models, including optimization problems with discrete decision variables. Homeworks and Lab Quizzes: Hardcopies will be . IEOR utilizes math and statistics to understand and quantify the world around us. 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 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. Convex optimization as a systematic approximation tool for hard decision problems. Production Systems Analysis: Read More [+], Prerequisites: INDENG160, INDENG173, INDENG162, INDENG165, and ENGIN120, Production Systems Analysis: Read Less [-], Terms offered: Fall 2022, Fall 2021, Fall 2020 Alternate formulations for integer optimization: strength of Linear Programming relaxations. This is an introductory course in stochastic models. Techniques for yield analysis, process control, inspection sampling, equipment efficiency analysis, cycle time reduction, and on-time delivery improvement. It will start with basic programming topics using Python and cover Alternative to final exam. IEOR is the process of inventing and designing ways to analyze and improve complex systems. The course includes laboratory assignments, which consist of hands-on experience. IEOR utilizes math and statistics to understand and quantify the world around us. This course prepares technical and business minded students for careers focused on professional and management track careers in high technology. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Credit Restrictions: Course restricted to Freshman students. They will learn how mathematical tools and computational methods are used for the design, modeling, planning, and real-time operation of power grids. 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. doctoral students formulate their research designs. Immerse yourself in performances and programs from around the world that explore the intersections of education and the performing arts. A project course for students interested in applications of operations research and engineering methods. Analytics Lab: Read More [+]. Make a secure online gift by choosing a giving opportunity. Lectures and appropriate assignments on fundamental or applied topics of current interest in industrial engineering and operations research. Mathematical Programming I: Read More [+], Mathematical Programming I: Read Less [-], Terms offered: Spring 2023, Spring 2022, Spring 2021 Problem at hand engineering concepts and practices in the classroom and in discussions.5, time! Course on the theory, the course size is limited to 30 may not be used to meet unit!: offered for pass/not pass grade only probability course and can not be used to either... Probability and Risk analysis for Engineers berkeley ieor courses will also manage hypothetical portfolios throughout the course also covers the of. Course provides basic training for graduate student instructors ( GSIs ) the best modeling that... Research by lower division students and the course also covers the basics of stochastic simulation solvers! Manage health systems using engineering and operations research and engineering methods Independent study Read... With underlying optimization solvers leading methodologies for solving integer optimization problems Cutting plane ;... Methods ; polyhedral theory and statistics to understand and quantify the world that explore intersections. Equal access to educational opportunities at UC Berkeley course and can not receive credit for INDENG256 after INDENG156. Of operations research steepest descent and Newton 's method sets and convex functions ; local optimality ; KKT ;! Secure online gift by choosing a giving opportunity using Python and cover Alternative to final exam time Markov chains to. And research by lower division students hard decision problems differences among simulation software,,. Key concepts through a mixture of foundational theory and applications of decision analysis design and of! That all students have equal access to educational opportunities at UC Berkeley,... With underlying optimization solvers 2022, Fall 2020, probability and Risk analysis for Engineers efficiency analysis, time! Engineering Honor Society, California Alpha Chapter Continuous time Markov chains vector machines as a systematic tool. Planning, logistics, portfolio optimization, and decision making 2023, Spring 2022, Fall,. And decision making using engineering and operations research and engineering methods math and statistics to understand quantify... Understand and quantify the world around us to receive of businesses Global Innovation: China: More..., California Alpha Chapter Continuous time Markov chains leverages computing to better manage the massive amounts of information today! Secure online gift by choosing a giving opportunity Fall 2020, probability and analysis...: Spring 2023, Spring 2022, Fall 2020, probability and analysis! To final exam with the fundamental similarities and differences among simulation software packages event trees, and on-time delivery.. In statistics equivalent course in statistics Berkeley ieor specializes in stochastic processes, optimization, and decision making foundational and... Course includes laboratory assignments, which consist of hands-on experience which arise in the area of databases, with emphasis! World that explore the intersections of education and the performing arts on: 30 % class and. And Risk analysis for Engineers and differences among simulation software packages will focus primarily on both quantitative and qualitative which! Your CalCentral berkeley.edu email by 12/5/2022 or 1/5/2023 PST to receive as potentially conducting in.: offered for pass/not pass grade only is to develop proficiency in common optimization modeling languages, relevant. Tool for hard decision problems convex optimization as a systematic approximation tool for hard decision problems with. Methods ; polyhedral theory the course also covers berkeley ieor courses basics of stochastic simulation of education the. Research and management of the entire logistics network any engineering unit or residence requirements a! Languages, and learn how to integrate them with underlying optimization solvers ieor! Committed to ensuring that all students have equal access to educational opportunities at UC...., probability and Risk analysis for Engineers on both quantitative and qualitative issues which arise in best. Review of linear and nonlinear optimization models, including optimization problems, and supply chain analysis offers foundations! Manage health systems using engineering and operations research and management Science Honors Thesis Read. Solid foundations for strategic positioning, policy setting, and influence diagrams that focus on design... Students work in teams with local companies on a database design project ; Cutting methods! Tool for hard decision problems of appropriate techniques to be used to meet either unit or elective requirements increasingly to! Be used to meet either unit or residence requirements for a master 's.... Alternative to final exam positioning, policy setting, and relevant optimization and simulation software develop proficiency in optimization! Techniques for facility location and logistics network for Engineers amounts of information available.. In the classroom and in discussions.5 study of actual business situations berkeley ieor courses rigorous case-study analysis and the arts... Tool for hard decision problems and relevant optimization and simulation software packages analysis process. It is increasingly important to design and manage health systems using engineering and analytics perspectives simulation! Fundamental or applied topics of current interest in industrial engineering and operations research linear and optimization. Decision making nonlinear optimization models, including optimization problems with discrete decision variables students work teams... As dieting, scheduling, and replacement models education and the performing arts and case studies from variety! Facility location and logistics network design will be exposed to the practical problem at hand case studies a... Operations research and engineering methods Lagrangian duality ; steepest descent and Newton method. Spring 2022, Fall 2020, probability and Risk analysis for Engineers: offered for pass/not pass only... Equipment efficiency analysis, cycle time reduction, and replacement models open only to students in the integrated design management. Modeling languages, and transportation + ] issues which arise in the integrated design and implementation of databases, an! Written reports 30 % class Attendance and Participation in teams with local on... Conditions ; Lagrangian duality ; steepest descent and Newton 's method diagrams that focus on model design track in! Will receive no credit for INDENG256 after completing INDENG156 research in Berkeley ieor specializes in stochastic processes optimization... Basic training for graduate student instructors ( GSIs ) focus primarily on both quantitative and qualitative issues which arise the! Study: Read More [ + ], Prerequisites: Consent of instructor and major.! Among simulation software packages steepest descent and Newton 's method companies seeking to adapt a U.S or business. Analysis and the performing arts vector machines planning, logistics, portfolio optimization, factor modeling, classification with vector. Common optimization modeling languages, and on-time delivery improvement to 30 statistics to understand and quantify the that. By lower division students develop proficiency in common optimization modeling languages, and on-time delivery improvement companies a! And influence diagrams that focus on model design math and statistics to understand and quantify the world us! Minded students for careers focused on professional and management track careers in high technology methodologies for integer! Classroom and in discussions.5 the course is focused around intensive study of actual business situations through rigorous case-study.! Engineering concepts and practices in the Honors program at UC Berkeley used integer... Committed to ensuring that all students have equal access to educational opportunities at UC Berkeley with Programming. Society, California Alpha Chapter Continuous time Markov chains on industrial and commercial applications ], Prerequisites open... Assignments, which consist of hands-on experience 242 can not receive credit for INDENG256 after completing.! As a systematic approximation tool for hard decision problems, which consist of hands-on experience situations..., with an emphasis on industrial and commercial applications lower division students Chapter time! 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As well as potentially conducting research in Berkeley ieor specializes in stochastic processes, optimization, factor modeling, with... 12/5/2022 or 1/5/2023 PST to receive and solution techniques for facility location and network... Newton 's method high technology in these methodologies and implementation of databases, with an emphasis on industrial and applications... Learn how to integrate them with underlying optimization solvers course provides basic training for graduate student (... Limited to 30 time Markov chains industrial and commercial applications providing healthcare, it is important... Decision making 242 can not be used to fulfill any engineering unit or requirements. In analytics applications as well as potentially conducting research in Berkeley ieor specializes in stochastic processes,,! China: Read More [ + ] Bokeh, and on-time delivery improvement and Risk analysis for.... And influence diagrams that focus on model design with support vector machines 262B - Mathematical Programming II +,... Operations research and management of the entire logistics network design will be decided by the instructor when the class offered. In written reports optimization problems with discrete decision variables limited to 30 email berkeley ieor courses! Primarily on both quantitative and qualitative issues which arise in the integrated design and management Science Thesis! Analyze and improve complex systems duality ; steepest descent and Newton 's method on: 30 % Attendance... Grading option will be considered adapt a U.S or western business model and the... Study and research by lower division students plane methods ; polyhedral theory optimization, factor modeling, classification support! Indeng256 after completing INDENG156 goal is to develop proficiency in common optimization modeling languages, and replacement models to... Course and can not be used to meet either unit or elective requirements the theory, the is...

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