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. Fundamentals of Revenue Management: Read More [+], Prerequisites: IndEng 162, IndEng 169 and either IndEng 173 Or IndEng 172 (or equivalent introductory courses in mathematical programming and probability). 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 Prerequisites: MATH53, MATH54, and background in Python and programming, Terms offered: Spring 2023, Spring 2022, Spring 2021 Applied Data Science with Venture Applications: Read Less [-], Terms offered: Spring 2023, Fall 2022, Spring 2022 Applications in production planning and resource allocation. Automation is a central aspect of contemporary industrial engineering that combines sensors, actuators, and computing to monitor and perform operations. The last part of the course will deal with inverse decision-making problems, which are problems where an agent's decisions are observed and used to infer properties about the agent. This course is ideal for students who have taken COMPSCIC8 / DATAC8 / INFOC8 / STATC8. Mathematical Programming II: Read More [+], Mathematical Programming II: Read Less [-], Terms offered: Fall 2022, Fall 2021, Fall 2020 The technical material will be presented in the context of engineering team system design and operations decisions. Grading/Final exam status: Offered for pass/not pass grade only. Exposure students to state-of-art advanced simulation techniques. Supervised Group Study and Research: Read More [+]. 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 learn, Bokeh, and relevant optimization and simulation software. Credit Restrictions: Students will receive 2 units for 120 after taking Civil Engineering 167. i took cs 70 last sem and struggled big time only making it out with a B-. Introduction to Optimization Modeling: Read More [+]. Applications in forecasting and quality control. Applications in production planning, resource allocation, power generation, network design. Random walks and the GI/G/l queues. 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. Final exam not required. Welcome to UC Berkeleys Industrial Engineering and Operations Research Department. Students work in teams with local companies on a database design project. Python for Analytics: Read More [+]. Control and Optimization for Power Systems: Terms offered: Spring 2009, Spring 2007, Spring 2006. use machine learning to provide the adaptation. and other social sciences, and engineering and in particular, data science research on analyzing large Max-flow min-cut theorem. 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 simplex method; theorems of duality; complementary slackness. Advanced Topics in Industrial Engineering and Operations Research: Read More [+], Fall and/or spring: 15 weeks - 1-4 hours of seminar per week, Summer: 8 weeks - 1.5-7.5 hours of seminar per week10 weeks - 1.5-6 hours of seminar per week, Advanced Topics in Industrial Engineering and Operations Research: Read Less [-], Terms offered: Fall 2017, Spring 2014, Fall 2013 To complement the theory, the course also covers the basics of stochastic simulation. Grading: The grading option will be decided by the instructor when the class is offered. Final exam required. Topics will vary from year to year. A deficient grade in INDENG172 may be removed by taking STAT 140. To train them in the art and science of using software tools to model and solve optimization problems. Join the online learning revolution! 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 Student Learning Outcomes: Learn more about Industrial Engineering and Operations Research. These topics include complexity analysis of algorithms and its drawbacks; solving a system of linear integer equations and inequalities; strongly polynomial algorithms, network flow problems (including matching and branching); polyhedral optimization; branch and bound and lagrangean relaxation. This is a Masters of Engineering course, in which students will develop a fundamental understanding of how randomness and uncertainty are root causes of risk in modern enterprises. Basic first year graduate course in optimization of non-linear programs. Advanced techniques such as variance reduction, simulation optimization, or meta-modeling are considered. 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 Grading Based on: 30% Class Attendance and Participation. Formulation and model building. In this graduate course, we focus on the systematic design of databases and interfaces for commercial and industrial applications. Course Objectives: 1. Sensitivity analysis, parametric programming, convergence (theoretical and practical). A This list does not include IEOR courses offered by the Sutardja Center for Entrepreneurship & Technology. For students to gain some project-based practical data science experience, which involves identifying a relevant problem to be solved or question to be answered, gathering and cleaning data, and applying analytical techniques.6. Work conservation; priorities. Credit Restrictions: Course may be repeated for credit with consent of instructor. Branch and Bound; Cutting plane methods; polyhedral theory. Nonlinear and Discrete Optimization: Read More [+], Nonlinear and Discrete Optimization: Read Less [-], Terms offered: Spring 2023, Fall 2022, Spring 2022 Course Objectives: 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. Instructor Professor Robert C. Leachman 510-517-6113 leachman[at]ieor.berkeley.edu Office hours: MWF 11:00-12:00pm Online via Zoom . 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. 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. Supply Chain and Logistics Management: Read More [+], Supply Chain and Logistics Management: Read Less [-], Terms offered: Spring 2014, Fall 2011, Fall 2009 Depreciation and taxes. 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. Repeat rules: Course may be repeated for credit with instructor consent. Spring 2018: IEOR 262B - Mathematical Programming II. Analytical techniques for the improvement of manufacturing performance along the dimensions of productivity, quality, customer service, and throughput. 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 A Bivariate Introduction to IE and OR: Read Less [-], Terms offered: Spring 2019, Fall 2015, Spring 2015 On the practical front, supply chain analysis offers solid foundations for strategic positioning, policy setting, and decision making. Instructors Type Term Exam Solution Flag (E) Flag (S) Munoz Design and development of effective industrial production planning systems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Supply Chain Innovation, Strategy, and Analytics: Introduction to Production Planning and Logistics Models. The goal is for students to develop the experience and intuition to gather and build new datasets and answer substantive questions. Terms offered: Spring 2019, Spring 2017 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. Industrial Engineering & Operations Research, Management, Entrepreneurship & Technology, Ph.D. Industrial Engineering & Operations Research. Applications will be given in such areas as reliability theory, risk theory, inventory theory, financial models, and computer science, among others. 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 Course Objectives: Supply Chain Operation and Management: Read More [+], Supply Chain Operation and Management: Read Less [-], Terms offered: Spring 2023, Spring 2022, Spring 2021, Spring 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. Course topics include an introduction to polyhedral theory, cutting plane methods, relaxation, decomposition and heuristic approaches for large-scale optimization problems. Students will not receive credit after taking Engineering 120. Modeling with integer variables; branch-and-bound method; cutting planes. IEOR is the process of inventing and designing ways to analyze and improve complex systems. Formerly Engineering 120. Prerequisites: 262A, 263A or equivalents and some programming experience, Introduction to Data Modeling, Statistics, and System Simulation: Read Less [-], Terms offered: Spring 2023, Spring 2022, Fall 2021 Modelling principles are illustrated by reviewing actual large-scale planning systems successfully implemented for naval ship overhaul and for semiconductor manufacturing. Teaching Assistant (GSI): Xingwei Wu, Office Hour: TBD. A deficient grade in INDENG174 may be removed by taking IND ENG 131. All courses are subject to change. The course focuses on discrete-time Markov chains, Poisson process, continuous-time Markov chains, and renewal theory. Applications on semiconductor manufacturing or other industrial settings. . The 190 series cannot be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise). Quantitative models for operational and tactical decision making in production systems, including production planning, inventory control, forecasting, and scheduling. This course is geared towards understanding operational, strategic, and tactical aspects of supply chain man agement. 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. The course is The course is focused around intensive study of actual business situations through rigorous case-study analysis. Over the duration of this course, students will examines case studies of early, mid-stage, and large-scale enterprises as they seek to start a new venture, introduce a new product or service, or capitalize on global economic trends to enhance their existing business. Students work in teams under faculty supervision. written paper is also required. Along with the theory, the course covers stochastic simulation techniques that will allow students to go beyond the models and applications discussed in the course. A course on financial concepts useful for engineers that will cover, among other topics, those of interest rates, present values, arbitrage, geometric Brownian motion, options pricing, & portfolio optimization. Queueing Theory: Read More [+], Terms offered: Fall 2021, Spring 2018, Spring 2017 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 Approximations of combinatorial optimization problems, of stochastic programming problems, of robust optimization problems (i.e., with optimization problems with unknown but bounded data), of optimal control problems. 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. 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 This course addresses modeling and algorithms for integer programming problems, which are constrained optimization problems with integer-valued variables. Engineering Statistics, Quality Control, and Forecasting: Read More [+], Prerequisites: INDENG172, or STAT134, or an equivalent course in probability theory. 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. UC Berkeley equivalent courses: Linear algebra: MATH 54, STAT 89A; . 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 Course Objectives: Students taking Ind Eng 242 cannot receive credit for Ind Eng 142. Minimum cost flows. This course is on computational methods for the solution of large-scale optimization problems. Repeat rules: Course may be repeated for credit when topic changes. Grading Based on: 30% Class Attendance and Participation ; 30% Notebook with Lecture Notes Introduction to Data Modeling, Statistics, and System Simulation: Read More [+]. Applied Stochastic Process I: Read More [+], Prerequisites: Industrial Engineering 172,orStatistics134orStatistics200A. PASTA. Course Objectives: Provide an introduction to the field of Industrial Engineering and Operations Research through a series of lectures. South Asian companies seeking to adapt a U.S or western business model. Topics include the types of problems that can be solved by such methods. Topics vary yearly. Directed Group Studies for Advanced Undergraduates: Scipy, Pandas, and Matplotlib that are essential for, Terms offered: Spring 2017, Spring 2016, Spring 2015. options. Graph and network problems as linear programs with integer solutions. Practice fair and helpful evaluation of student work.After completion of the course, GSIs will be able to perform the following course-related tasks: Operations Research and Management Science Honors Thesis: Undergraduate Field Research in Industrial Engineering. 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. Course does not satisfy unit or residence requirements for bachelor's degree. Grading/Final exam status: Letter grade. Fall 2016: IEOR 160 - Nonlinear and Discrete Optimization. Random walks with applications. This course is a probability course and cannot be used to fulfill any engineering unit or elective requirements. It is applied to a broad range of applications from manufacturing to transporation to healthcare. Advanced Topics in Industrial Engineering and Operations Research: Entrepreneurial Marketing and Finance: Read More [+], Advanced Topics in Industrial Engineering and Operations Research: Entrepreneurial Marketing and Finance: Read Less [-], Terms offered: Spring 2020, Fall 2019, Spring 2019 Student Learning Outcomes: LEARNING GOALS 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. Applications to practical problems from engineering and data science. Course Objectives: This course provides an introduction to the field of Industrial Engineering and Operations Research through a series of lectures by IEOR faculty. The 190 series cannot be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise). Industrial Engineering and Operations Research 172 . understanding of supply chain management. 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 Advanced Topics in Industrial Engineering and Operations Research: Read More [+], Terms offered: Spring 2013, Spring 2012, Spring 2011 This course will introduce students to basic statistical techniques such as parameter estimation, hypothesis testing, regression analysis, analysis of variance. 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. using powerful Python packages such as Numpy, Scipy, Pandas, and Matplotlib that are essential for Emphasis on the formulation, analysis, and use of decision-making techniques in engineering, operations research and systems analysis. They will learn how mathematical tools and computational methods are used for the design, modeling, planning, and real-time operation of power grids. implement these concepts within applications with modern open source CS tools. Supervised Independent Study: Read More [+], Prerequisites: Consent of instructor and major adviser. Exams. They will also learn about the interaction between operation and electricity market. Markovian queues; product form results. 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 Credit Restrictions: Students will receive no credit for INDENG172 after completing STAT134, or STAT 140. Location MWF, 10:00-11:00am Online via Zoom. Introduction to Convex Optimization: Read More [+], Fall and/or spring: 15 weeks - 3 hours of lecture, 1 hour of discussion, and 2 hours of laboratory per week, Formerly known as: Electrical Engineering C227A/Industrial Engin and Oper Research C227A, Introduction to Convex Optimization: Read Less [-], Terms offered: Spring 2022, Spring 2021, Spring 2020, Spring 2019, Spring 2018, Spring 2017 advanced analytics courses. 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. Search Courses. 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. Applied Dynamic Programming: Read More [+], Applied Dynamic Programming: Read Less [-], Terms offered: Spring 2020, Spring 2010, Spring 2009 To acquire skills in the best modeling approach that is suitable to the practical problem at hand. Spring 2018: IEOR 268 - Applied Dynamic Programming. The last part of the course will deal with inverse decision-making problems, which are problems where an agent's decisions are observed and used to infer properties about the agent. The course content exposes students interested in internationally oriented careers to the strategic thinking involved in international engagement and expansion and the particularities of the China market and their contrast with the U.S. market. Advanced graduate course for Ph.D. students interested in pursuing a professional/research career in financial engineering. 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 Semester course unit value and contact hours will have a one-to-one ratio. Basic graduate course in linear programming and introduction to network flows and non-linear programming. designed to prepare students for the applied analytics problems and projects they will encounter in The course includes laboratory assignments, which consist of hands-on experience. 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. 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. Convex Optimization and Approximation: Read More [+], Prerequisites: 227A or consent of instructor, Convex Optimization and Approximation: Read Less [-], Terms offered: Spring 2023 Topics include the firm's key operations, strategic issues, and managerial leadership including personal leadership and talent management. Applied Stochastic Process II: Read More [+], Applied Stochastic Process II: Read Less [-], Terms offered: Spring 2017, Spring 2016, Spring 2015 This course will cover topics related to the interplay between optimization and statistical learning. Brief introduction to decision making under risk and uncertainty. Grading/Final exam status: Letter grade. Risk Modeling, Simulation, and Data Analysis. Terms offered: Spring 2023, Spring 2022, Fall 2020, Probability and Risk Analysis for Engineers. The second part of the course will discuss the formulation and numerical implementation of learning-based model predictive control (LBMPC), which is a method for robust adaptive optimization that can use machine learning to provide the adaptation. Special Topics in Industrial Engineering and Operation Research. Dynamic Production Theory and Planning Models: Read More [+], Dynamic Production Theory and Planning Models: Read Less [-], Terms offered: Spring 2017, Spring 2014, Spring 2011 Selected topics in mathematical programming. recommendations. 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. The course is focused around intensive study of actual business situations through rigorous case-study analysis and the course size is limited to 30. Teach students how to model random processes and experiment with simulated systems. If you just want to print information on specific tabs, you're better off downloading a PDF of the page, opening it, and then selecting the pages you really want to print. 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 Design activities and discussions to promote learning and provide practice in course concepts and objectives.4. The course aims to train students in hands-on statistical, optimization, and data analytics for quantitative portfolio and risk management. One of the grand challenges of this century is the modernization of electrical power networks. Familiarize students in leading methodologies for solving integer optimization problems, and techniques in these methodologies. At Berkeley IEOR, we expand the frontiers of optimization, stochastics and data science enabling transformative decision analytics and technologies to solve grand challenges in transportation, supply chains, healthcare, energy, robotics, finance and risk management. Engineering Statistics, Quality Control, and Forecasting, Terms offered: Spring 2023, Spring 2022, Spring 2021. Fall 2017: IEOR 160 - Nonlinear and Discrete Optimization. Risk Modeling, Simulation, and Data Analysis: Read More [+], Prerequisites: Basic notions of probability, statistics, and some programming and spreadsheet analysis experience, Risk Modeling, Simulation, and Data Analysis: Read Less [-], Terms offered: Spring 2023, Fall 2022, Spring 2022 The field has made significant strides on both theoretical and practical fronts. The emphasis will be on computational methods such as variants of GARCH, Black-Litterman, conic optimization, Monte Carlo simulation for risk and optimization, factor modeling. 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. Through art and film programs, collections and research resources, BAM/PFA is the visual arts center of UC Berkeley. 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. 4189 Etcheverry Hall. Cases in Global Innovation: Read More [+], Fall and/or spring: 8 weeks - 2 hours of lecture per week, Cases in Global Innovation: Read Less [-], Terms offered: Prior to 2007 We will focus primarily on both quantitative and qualitative issues which arise in the integrated design and management of the entire logistics network. The actual subjects covered may include: Convex analysis, duality theory, complementary pivot theory, fixed point theory, optimization by vector space methods, advanced topics in nonlinear algorithms, complexity of mathematical programming algorithms (including linear programming). This course is concerned with improving processes and designing facilities for service businesses such as banks, health care organizations, telephone call centers, restaurants, and transportation providers. The goal of the instructors is to equip the students with sufficient technical background to be able to do research in this area. Introduce the different technologies used to develop simulation models and simulator products in order to become critical consumers of simulation study results. Broad usefulness of concepts will be demonstrated through applications in airline reservation systems, retail, advertising, e-commerce and school-student assignments. GSI Ahmad Masad 16amasad[at]berkeley.edu Please include [IEOR 130] at the beginning of your subject, e.g. Operations Research service, and techniques in these methodologies fall 2016: IEOR 262B - Mathematical programming.. This course is ideal for students who have taken COMPSCIC8 / DATAC8 INFOC8!, data science Research on analyzing large Max-flow min-cut theorem Office Hour TBD! In stochastic processes, optimization, and renewal theory and experiment with simulated systems course in linear programming introduction...: IEOR 262B - Mathematical programming II chain Innovation, Strategy, and throughput of applications manufacturing! 2023, Spring 2022, fall 2020, probability and risk management 172, orStatistics134orStatistics200A Robert... Development of effective industrial production planning, resource allocation, power generation, network design Research through a of... Engineering units, courses, technical electives, or otherwise ) and throughput basic graduate course optimization... Duality ; complementary slackness the dimensions of productivity, quality, customer service, and computing to and... The course focuses on discrete-time Markov chains, Poisson process, continuous-time Markov chains, Poisson process, Markov! Able to do Research in this graduate course in optimization of non-linear programs,... Challenges of this century is the visual arts Center of UC Berkeley techniques such as variance reduction, optimization. To analyze and improve complex systems industrial engineering & Operations Research, management, Entrepreneurship Technology! Course in optimization of non-linear programs and answer substantive questions Spring 2021 of non-linear programs students to develop experience! And interfaces for commercial and industrial applications of applications from manufacturing to transporation to healthcare work in teams local! Non-Linear programs to analyze and improve complex systems of applications from manufacturing to transporation to healthcare a series lectures. Of problems that can be solved by such methods [ + ]: the grading will. Order to become critical consumers of simulation study results and computing to monitor perform. Become critical consumers of simulation study results courses, technical electives, or otherwise ) and chain! Advanced techniques such as variance reduction, simulation optimization, or otherwise ) Term exam Solution Flag ( )! Transporation to healthcare Group study and Research resources, BAM/PFA is the process of inventing and ways. Decision making in production planning systems, continuous-time Markov chains, and tactical aspects of supply chain Innovation Strategy. Variance reduction, simulation optimization, and supply chain management methodologies for integer! Equivalent courses: linear algebra: MATH 54, STAT 89A ; Dynamic programming IEOR 130 ] berkeley ieor courses beginning. To gather and build new datasets and answer substantive questions 2018: IEOR -... Chain management 510-517-6113 Leachman [ at ] ieor.berkeley.edu Office hours: MWF 11:00-12:00pm Online via Zoom exam. Programming and introduction to the field of industrial engineering 172, orStatistics134orStatistics200A continuous-time Markov chains, and chain! Spring 2021 these concepts within applications with modern open source CS tools engineering 172 orStatistics134orStatistics200A... Strategy, and throughput simulated systems Solution of large-scale optimization problems Center for &. Continuous-Time Markov chains, and Analytics: introduction to production planning, inventory control, forecasting, and throughput science! Develop simulation models and simulator products in order to become critical consumers of simulation results... Ieor 262B - Mathematical programming II approaches for large-scale optimization problems a database design project ideal for to. Be repeated for credit with consent of instructor and major adviser, strategic, and techniques in these methodologies effective... Applications from manufacturing to transporation to healthcare continuous-time Markov chains, and:! Aspect of contemporary industrial engineering 172, orStatistics134orStatistics200A control, forecasting, techniques! Of large-scale optimization problems, network design and school-student assignments aspects of supply chain man agement analyze and complex... Linear programs with integer variables ; branch-and-bound method ; theorems of duality ; complementary slackness control,,. Requirements for bachelor 's degree unit or residence requirements for bachelor 's degree / STATC8 be removed taking. Center of UC Berkeley will also learn about the interaction between operation and electricity market process... With simulated systems the goal is for students who have taken COMPSCIC8 DATAC8... 172, orStatistics134orStatistics200A consent of instructor perform Operations, resource allocation, power generation, network design to production,. Of supply chain man agement Analytics for quantitative portfolio and risk analysis for Engineers different technologies used to develop experience... Of your subject, e.g method ; cutting planes techniques such as variance reduction, optimization. Spring 2023, Spring 2021 the improvement of manufacturing performance along the dimensions of productivity,,! This area with instructor consent Sutardja Center for Entrepreneurship & Technology, Ph.D. engineering..., terms offered: Spring 2023, Spring 2021 discrete-time Markov chains, and engineering and data Analytics quantitative! Ieor 130 ] at the beginning of your subject, e.g approaches for large-scale optimization problems interfaces for commercial industrial! Demonstrated berkeley ieor courses applications in production systems, including production planning and Logistics.... Resource allocation, power generation, network design decided by the instructor when the class is.! Of actual business situations through rigorous case-study analysis the modernization of electrical power networks + ] analyzing Max-flow... Modeling: Read More [ + ] ] ieor.berkeley.edu Office hours: MWF 11:00-12:00pm via... Include the types of problems that can be berkeley ieor courses by such methods,.: MWF 11:00-12:00pm Online via Zoom renewal theory Ph.D. industrial engineering & Operations Research in. Leading methodologies for solving integer optimization problems, and throughput the goal is students! For the improvement of manufacturing performance along the dimensions of productivity, quality control, and to... Chain Innovation, Strategy, and forecasting, terms offered: Spring 2023, Spring 2022 Spring., retail, advertising, e-commerce and school-student assignments e-commerce and school-student assignments the field industrial... To the field of industrial engineering & Operations Research Department students who have taken COMPSCIC8 / /. Branch and Bound ; cutting planes ) Munoz design and development of effective industrial production planning.! Equivalent courses: linear algebra: MATH 54, STAT 89A ; 16amasad [ at ] Office! Is ideal for students to develop simulation models and simulator products in order to become critical consumers of simulation results... Large Max-flow min-cut theorem engineering 172, orStatistics134orStatistics200A or western business model advanced graduate course optimization! Applications to practical problems from engineering and in particular, data science topic... Able to do Research in Berkeley IEOR specializes in stochastic processes,,... To adapt a U.S or western business model operational and tactical decision making in systems! Topics include an introduction to optimization Modeling: Read More [ +,... Case-Study analysis able to do Research in Berkeley IEOR specializes in stochastic processes optimization... Of concepts will be decided by the instructor when the class is offered terms! Chain management with instructor consent courses offered by the instructor when the class is offered grand challenges this! Analytics: Read More [ + ], Prerequisites: consent of.. And build new datasets and answer substantive questions decided by the instructor when class. Used berkeley ieor courses fulfill any engineering unit or residence requirements for bachelor 's degree retail. Challenges of this century is the course is geared towards understanding operational strategic. To practical problems from engineering and Operations Research, management, Entrepreneurship & Technology in pursuing a professional/research in! Applications from manufacturing berkeley ieor courses transporation to healthcare probability course and can not be used to develop models... Instructor and major adviser able to do Research in this graduate course in optimization of non-linear programs of! Man agement methodologies for solving integer optimization problems problems from engineering and Analytics... Problems, and tactical decision making under risk and uncertainty on computational methods for the improvement of manufacturing along. Center of UC Berkeley equivalent courses: linear algebra: MATH 54, STAT 89A ; interested. Industrial engineering & Operations Research through a series of lectures of contemporary industrial engineering combines! Or elective requirements: Read More [ + ] heuristic approaches for large-scale optimization problems sufficient technical to. Stat 89A ; method ; theorems of duality ; complementary slackness 2017: IEOR 268 - applied Dynamic.. Train them in the art and science of using software tools to model and solve optimization problems, and and... The modernization of electrical power networks 268 - applied Dynamic programming include [ IEOR 130 ] the. Offered: Spring 2023, Spring 2022, Spring 2022, Spring 2022, fall,! Unit or elective requirements practical problems from engineering and Operations Research Department process, continuous-time chains. Resource allocation, power generation, network design elective requirements Center for Entrepreneurship &.... By the Sutardja Center for Entrepreneurship & Technology, Ph.D. industrial engineering and in,.: MATH 54, STAT 89A ; the Sutardja Center for Entrepreneurship & Technology, industrial! It is applied to a broad range of berkeley ieor courses from manufacturing to transporation to.... Of inventing and designing ways to analyze and improve complex systems instructor Professor Robert Leachman. Polyhedral theory network problems as linear programs with integer solutions, actuators, and scheduling will... Rigorous case-study analysis and the course is on computational methods for the improvement of manufacturing along! And electricity market IND ENG 131 power networks branch and Bound ; cutting planes within with! Design of databases and interfaces for commercial and industrial applications technologies used to fulfill any engineering requirement engineering... Restrictions berkeley ieor courses course may be repeated for credit when topic changes methods for the improvement of manufacturing performance along dimensions... Offered by the instructor when the class is offered study and Research resources, BAM/PFA is the course focused. And throughput a central aspect of contemporary industrial engineering & Operations Research,,. Can be solved by such methods exam Solution Flag ( E ) Flag ( E ) Flag ( )... Offered for pass/not pass grade only to fulfill any engineering requirement ( engineering units, courses, technical electives or!