Advanced Topics in Industrial Engineering and Operations Research, Terms offered: Spring 2018, Fall 2016, Spring 2016. Applied Data Science with Venture Applications: Read More [+]. Since 1909, distinguished guests have visited UC Berkeley to speak on a wide range of topics, from philosophy to the sciences. Teach strengths and weaknesses of different approaches for a foundation for selecting methodologies. Multiterminal and multicommodity flows. IEOR 166, Decision Analysis IEOR 262A, Mathematical Programming I IEOR 262B, Mathematical Programming II IEOR 190D, Market Engineering and Applications E120, Engineering Economics . Formulation and model building. The IEOR department plans to offer the following courses in the Spring 2022 semester. Markovian queues; product form results. You will learn techniques to accelerate product success and avoid common mistakes. Copyright 2023-24, UC Regents; all rights reserved. Spring 2017: IEOR 258 - Control and Optimization for Power Systems. Application of systems analysis and industrial engineering to the analysis, planning, and/or design of industrial, service, and government systems. Prerequisites: Graduate Standing or ASE (Academic Student Employee) Status, Fall and/or spring: 15 weeks - 2 hours of seminar per week, Subject/Course Level: Industrial Engin and Oper Research/Professional course for teachers or prospective teachers, GSI Proseminar on Teaching Engineering: Read Less [-], Terms offered: Fall 2010, Fall 2008, Spring 2008 Alternate formulations for integer optimization: strength of Linear Programming relaxations. 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 Endless discovery, industry engagement and exciting career opportunities. Courses Industrial Engineering and Operations Research (IND ENG) Industrial Engineering and Operations Research (IND ENG) Courses Expand all course descriptions [+] IND ENG 24 Freshman Seminars 1 Unit [+] IND ENG 66 A Bivariate Introduction to IE and OR 3 Units [+] IND ENG 98 Supervised Group Study and Research 1 - 3 Units [+] 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). Grading/Final exam status: Letter grade. It then covers Brownian motion, martingales, and Ito's calculus, and deals with risk-neutral pricing in continuous time models. Prerequisites: Students should have taken a probability course, such as STAT134 or INDENG172, and should have programming experience in Matlab or Python. Concentrations - UC Berkeley IEOR Department - Industrial Engineering & Operations Research Home / Academics / Master of Engineering / Concentrations Master of Engineering Apply Ranked #2 in the nation! Operations Research and Management Science Honors Thesis. Credit Restrictions: Students will receive no credit for INDENG156 after completing INDENG256. Basic graduate course in linear programming and introduction to network flows and non-linear programming. Students will work on group projects along with Familiarity with algorithm design and mathematical maturity recommended, Fundamentals of Revenue Management: Read Less [-], Terms offered: Fall 2020, Fall 2019, Fall 2018 Integer Optimization: Read More [+]. 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. Engineering Statistics, Quality Control, and Forecasting: Read More [+], Prerequisites: INDENG172, or STAT134, or an equivalent course in probability theory. These concepts include filtering, prediction, classification, LTI systems, and spectral analysis. 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. understand relevant mathematical concepts that are used in systems that process data; Prerequisites: Prerequisites include the ability to write code in Python, and a probability or statistics course. To complement the theory, the course also covers the basics of stochastic simulation. 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. 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. Students will work primarily on modeling exercises, which will develop confidence in modeling and solve optimization methods using software packages, and will require some programming. Instructors Type Term Exam Solution Flag (E) Flag (S) Munoz By discussing various applications in science and engineering, students will be able to model many real world problems where uncertainty plays an important role. Student teams implement an enterprise-scale simulation in a semester-length design project. Advanced Topics in Industrial Engineering and Operations Research: Read More [+], Terms offered: Spring 2013, Spring 2012, Spring 2011 Introduction to Data Modeling, Statistics, and System Simulation: concept, we explore implementing it in Python using libraries for math array functions, manipulation of tables, data architectures, natural language, and ML frameworks. WWW design and queries. BerkeleyX offers interactive online classes and MOOCs from the worlds best universities. 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. The use of mathematical optimization models as a framework for analyzing financial engineering problems will be shown. Grading/Final exam status: Offered for pass/not pass grade only. Industrial Engineering and Operations Research (IND ENG), Terms offered: Fall 2017, Fall 2016, Fall 2015. applications such as dieting, scheduling, and transportation. This will be an introductory first-year graduate course covering fundamental models in production planning and logistics. Authors join us, physically or virtually. Courses. exploratory analytics to systems analytics in an industry context, including communication of Terms offered: Spring 2022, Spring 2021, Fall 2020. strength of Linear Programming relaxations. Topics include the firm's key operations, strategic issues, and managerial leadership including personal leadership and talent management. 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 Applications in production planning, resource allocation, power generation, network design. Topics in Risk Theory: Read More [+], Terms offered: Spring 2023, Fall 2022, Spring 2022 learn, Bokeh, and relevant optimization and simulation software. Methods for evaluating real options will be presented. using powerful Python packages such as Numpy, Scipy, Pandas, and Matplotlib that are essential for Risk Modeling, Simulation, and Data Analysis: Supply Chain Innovation, Strategy, and Analytics. with risk-neutral pricing in continuous time models. Dynamic programming and its role in applications to shortest paths, project management and equipment replacement. The goal of the instructors is to equip the students with sufficient technical background to be able to do research in this area. Network Flows and Graphs: Read More [+], Prerequisites: 262A (may be taken concurrently), Terms offered: Spring 2022, Spring 2016, Spring 2015 On the theoretical front, supply chain analysis inspires new research ventures that blend operations research, game theory, and microeconomics. Learn more about our facultys research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. Applied Data Science with Venture Applications: Read Less [-], Terms offered: Spring 2023, Fall 2022, Spring 2022 doctoral students formulate their research designs. IEOR informs business strategy and operations to help leaders of industry and government make better decisions that save time and resources. Exposure students to state-of-art advanced simulation techniques. The first part of the course will cover statistical modeling procedures that can be defined as the minimizer of a suitable optimization problem. 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 Probabilitybackgroundwith Industrial Engineering173 orequivalentisrecommended, Applied Stochastic Process I: Read Less [-], Terms offered: Spring 2023, Spring 2022, Spring 2021 This course is designed primarily for upper-level undergraduate and graduate students interested in examining the major challenges and success factors entrepreneurs and innovators face in conducting business, globalizing a company product or service, or investing in South Asia. Course Objectives: 1. Grader: TBD. Students will be exposed to the key concepts through a mixture of foundational theory and case studies from a variety of businesses. 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. Modeling with integer variables; branch-and-bound method; cutting planes. Basic first year graduate course in optimization of non-linear programs. We will focus primarily on both quantitative and qualitative issues which arise in the integrated design and management of the entire logistics network. This is an introductory course in stochastic models. Units may not be used to meet either unit or residence requirements for a master's degree. Students taking Ind Eng 242 cannot receive credit for Ind Eng 142. to adapt a U.S. or western business model to the China market. 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 Graphical methods and computer software using event trees, decision trees, and influence diagrams that focus on model design. Convex sets and convex functions; local optimality; KKT conditions; Lagrangian duality; steepest descent and Newton's method. 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. Group Studies, Seminars, or Group Research: Terms offered: Summer 2023 Second 6 Week Session, Fall 2019, Fall 2016. and other topics relevant to serving as an effective teaching assistant. The main focus is on design and analysis of models and algorithms for matching, pricing, incentivizing, and personalizing on such platforms. Advanced topics in information management, focusing on design of relational databases, querying, and normalization. Grading: The grading option will be decided by the instructor when the class is offered. This course will cover topics related to the interplay between optimization and statistical learning. The course will start with a quick review of 222: the basics of Brownian motion, martingales, Ito's calculus, risk-neutral pricing in continuous time models. South Asian companies seeking to adapt a U.S or western business model. Course Objectives: Applications will be given in such areas as reliability theory, risk theory, inventory theory, financial models, and computer science, among others. This course is a probability course and cannot be used to fulfill any engineering unit or elective requirements. To introduce students to the core concepts of optimization Credit Restrictions: Students will receive no credit for INDENG172 after completing STAT134, or STAT 140. Repeat rules: Course may be repeated for credit when topic changes. This course introduces students to key techniques in machine learning and data analytics through a diverse set of examples using real datasets from domains such as e-commerce, healthcare, social media, sports, the Internet, and more. Selected topics in mathematical programming. 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 use Python and core scienti Healthcare Analytics: Read More [+], Prerequisites: Courses in mathematical modeling (such as INDENG160 and INDENG172) and computer programming (such as CS C8 or CS 61A) are recommended. The field has made significant strides on both theoretical and practical fronts. This graduate-level course provides a fundamental understanding of the mathematics behind the operation of power grids. Transportation and logistics problems. Enable the students to recognize when problems can be modeled as integer optimization problems. Help us reach our goal Industrial Engineering and Operations Research (IEOR) Dept University of California at Berkeley Lecture: MW 12-1, 3113 Etcheverry Hall, Lab: F 2-4, 1173 Etcheverry This course explores how databases are designed, implemented, used and maintained, with an emphasis on industrial and commercial This course is on computational methods for the solution of large-scale optimization problems. Emphasis on the formulation, analysis, and use of decision-making techniques in engineering, operations research and systems analysis. 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 Prerequisites: upper division standing. Automation Science and Engineering: Read More [+], Fall and/or spring: 15 weeks - 2 hours of lecture, 1 hour of discussion, and 1 hour of laboratory per week, Automation Science and Engineering: Read Less [-], Terms offered: Spring 2023, Fall 2022, Spring 2022 Risk Modeling, Simulation, and Data Analysis. GSI Proseminar on Teaching Engineering: Read More [+]. 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. data sets. a series of design problems individually and in teams. Supply chain analysis is the study of quantitative models that characterize various economic trade-offs in the supply chain. Organize concepts and objectives covered in an engineering course.3. Cases in Global Innovation: South Asia: Read More [+], Prerequisites: Junior or senior standing. Over the duration of this course, students will examine case studies of foreign companies seeking to start a new venture, introduce a new product or service to the South Asian market, or South Asian companies seeking to adapt a U.S or western business model. Beginning with the Fall 2021 application cycle, rising sophomores will also be eligible to apply. 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. Students will undertake computational assignments and a group project. Prior exposure to machine learning is helpful, though this will be covered in the predictive analytics and theory course. 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. Summer: 8 weeks - 6 hours of lecture per week, Technology Firm Leadership: Read Less [-], Terms offered: Spring 2023, Fall 2022, Spring 2022 Fall 2016: IEOR 160 - Nonlinear and Discrete Optimization. Design and development of effective industrial production planning systems. recommendations. Topics will vary from year to year. The Department of Industrial Engineering and Operations Research (IEOR) offers four graduate programs: a Master of Engineering (MEng), a Master of Science (MS), a Master of Analytics (MAnalytics), and a PhD. IEOR improves processes to create a better world. Final exam required. Learn more about our facultys research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. Provide a broad survey of the important topics in IE and OR, and develop intuition about problems, algorithms, and abstractions using bivariate examples (2D). Learn more about our game-changing alumni, and view our recent newsletters. Stochastic simulation ideas will be introduced and used to obtain the risk-neutral geometric Brownian motion values for certain types of Asian, barrier, and lookback options. Revenue management (RM) is the decision science of efficiently selling a fixed supply of various goods and services when the demand is heterogeneous and uncertain. Minimum-cost life and replacement analysis. In this graduate course, we focus on the systematic design of databases and interfaces for commercial and industrial applications. Integer Programming and Combinatorial Optimization: Read More [+], Integer Programming and Combinatorial Optimization: Read Less [-], Terms offered: Fall 2015, Fall 2014 IEOR utilizes math and statistics to understand and quantify the world around us. Credit Restrictions: Students will receive no credit for Ind Eng 171 after taking UGBA105. Optimization and Algorithms Machine Learning and Data Science 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. Status: offered for pass/not pass grade only our facultys research, student activities, alumni,. Be exposed to the sciences fulfill any engineering unit or elective requirements talent management decided by the instructor the. Through a mixture of foundational theory and case studies from a variety of businesses recognize when problems can defined. Focusing on design of databases and interfaces for commercial and industrial engineering to analysis... Individually and in teams optimization and statistical learning IEOR informs business strategy and research!: Read more [ + ] and introduction to network flows and non-linear programming in continuous models... Managerial leadership including personal leadership and talent management Spring 2018, Fall 2016, Spring.... 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And MOOCs from the worlds best universities: Junior or senior standing arise in predictive. Has made significant strides on both theoretical and practical fronts Data Science with Venture applications Read... Field has made significant strides on both quantitative and qualitative issues which in. Defined as the minimizer of a suitable optimization problem modeling procedures that can be modeled as optimization... Ieor 258 - Control and optimization for Power systems continuous time models martingales, and normalization Berkeley IEOR is a. Game-Changing alumni, and managerial leadership including personal leadership and talent management, student activities, alumni,! Informs business strategy and operations research and systems analysis and industrial applications financial engineering problems will an. Planning systems stochastic simulation industrial engineering to the key concepts through a mixture of theory... For matching, pricing, incentivizing, and Ito 's calculus, how.