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. Terms offered: Spring 2022, Spring 2021, Fall 2020. strength of Linear Programming relaxations. Students work in teams under faculty supervision. What did your. 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. The course is focused around intensive study of actual business situations through rigorous case-study analysis. Survey of solution techniques and problems that have formulations in terms of flows in networks. IEOR utilizes math and statistics to understand and quantify the world around us. This course surveys topics related to the design of products and interfaces ranging from alarm clocks, cell phones, and dashboards to logos, presentations, and web sites. The course will focus on two-dimensional, i.e., bivariate, examples where the problems and methods are amenable to visualization and geometric intuition. Branch and Bound; Cutting plane methods; polyhedral theory. to adapt a U.S. or western business model to the China market. Applications in forecasting and quality control. Industrial Engineering & Operations Research, Management, Entrepreneurship & Technology, Ph.D. Industrial Engineering & Operations Research, Applied Data Science with Venture Applications, Logistics Network Design and Supply Chain Management, Engineering Statistics, Quality Control, and Forecasting, Probability and Risk Analysis for Engineers. Graph and network problems as linear programs with integer solutions. This graduate-level course provides a fundamental understanding of the mathematics behind the operation of power grids. Optimization Analytics: Read More [+], Prerequisites: Basic analysis and linear algebra, and basic computer skills and experience, Fall and/or spring: 15 weeks - 3 hours of lecture and 1 hour of laboratory per week, Terms offered: Fall 2022, Fall 2021, Fall 2020 Credit Restrictions: Enrollment is restricted; see the Introduction to Courses and Curricula section of this catalog. Brownian Motion. Teaching Assistant (GSI): Xingwei Wu, Office Hour: TBD. Technology Firm Leadership: Read More [+]. Service Operations Management: Read More [+], Prerequisites: Students who have not advanced to M.S., M.S./Ph.D., or Ph.D. levels or are not in the Industrial Engineering and Operations Research Department must consult with the instructor before taking this course for credit, Service Operations Management: Read Less [-], Terms offered: Spring 2013, Spring 2012, Spring 2011 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. These ventures result in an unprecedented amalgamation of prescriptive, descriptive, and predictive models characteristic of each subfield. 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. 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 The focus is on converting the theory of optimization into effective computational techniques. be used to fulfill any engineering unit or elective requirements. use Python and core scienti Students will work in teams on projects and build solutions to This course prepares technical and business minded students for careers focused on professional and management track careers in high technology. Instructors Type Term Exam Solution Flag (E) Flag (S) Shanthikumar Uncertainty; preference under risk; decision analysis. 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 Recommended but not required to be taken after or along with Engineering 198, Cases in Global Innovation: South Asia: Read Less [-], Terms offered: Fall 2022 Portfolio and Risk Analytics: Read More [+], Prerequisites: A basic understanding of statistics and optimization, as well as fluency in a programming, language is required, Portfolio and Risk Analytics: Read Less [-], Terms offered: Prior to 2007 Algorithms for integer optimization problems. Supervised Group Study and Research: Read More [+]. Provide a broad survey of the important topics in IE and OR, and develop intuition about problems, algorithms, and abstractions using bivariate examples (2D). Logistics Network Design and Supply Chain Management: paths, project management and equipment replacement. The course deals with discrete optimization problems and their complexity. Understand the University policies and procedures on academic integrity and ethics. Instructors Type Term Exam Solution Flag (E) Flag (S) Munoz Emphasis will be placed on both the use of computers and the theoretical analysis of models and algorithms. Terms offered: Fall 2016 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. Decision Analytics: Read More [+], Terms offered: Spring 2022, Spring 2021, Fall 2020 Formerly Engineering 120. Grader: TBD. Alternative to final exam. 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. Final exam required. Industrial and Commercial Data Systems: Read More [+], Fall and/or spring: 15 weeks - 2 hours of lecture and 2 hours of laboratory per week, Industrial and Commercial Data Systems: Read Less [-], Terms offered: Spring 2023 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. 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 Production and Inventory Systems: Read More [+], Prerequisites: 262A or 150; 263A or 173 recommended, Production and Inventory Systems: Read Less [-], Terms offered: Spring 2023, Spring 2022 This list does not include IEOR courses offered by the Sutardja Center for Entrepreneurship & Technology. Applications in production planning and resource allocation. Credit Restrictions: Students will receive no credit for INDENG256 after completing INDENG156. You can check their website here for information about their upcoming classes. Portfolio optimization problems will be considered both from a mean-variance and from a utility function point of view. 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: 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 Optimization and Algorithms Machine Learning and Data Science Introduce the different technologies used to develop simulation models and simulator products in order to become critical consumers of simulation study results. Includes formulation of risk problems and probabilistic risk assessments. Relational algebra, SQL, normalization. This course will cover topics related to healthcare analytics, including: optimizing chronic disease management, designing matching markets for health systems, developing predictive analytics models, and managing resource utilization. Authors join us, physically or virtually. Random walks and the GI/G/l queues. Special Topics in Industrial Engineering and Operation Research. develop custom Python scripts and functions to perform analytic computations; Special Topics in Industrial Engineering and Operation Research: Dynamic Production Theory and Planning Models, Terms offered: Spring 2014, Fall 2008, Spring 2008. Methods for evaluating real options will be presented. 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 will introduce students to basic statistical techniques such as parameter estimation, hypothesis testing, regression analysis, analysis of variance. a series of design problems individually and in teams. Introductory course on design, programming, and statistical analysis of simulation methods and tools for enterprise-scale systems such as traffic and computer networks, health-care and financial systems, and factories. Minimum cost flows. Terms offered: Spring 2023, Spring 2022, Spring 2021, Spring 2020. , and predictive models characteristic of each subfield. The 190 series cannot be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise). 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 Supply Chain Innovation, Strategy, and Analytics: Introduction to Production Planning and Logistics Models. It also discusses applications to queueing theory, risk analysis and reliability theory. This course is on computational methods for the solution of large-scale optimization problems. Semi-Markov processes with emphasis on application. Dynamic programming and its role in applications to shortest paths, project management and equipment replacement. Control and Optimization for Power Systems. Industrial Engineering and Operations Research 172 . IEOR utilizes math and statistics to understand and quantify the world around us. Simulation techniques will be discussed at the end of the semester, and MATLAB (or C or S-Plus) will be used for computation. Prerequisites: IEOR 165 or equivalent course in statistics. It then covers rigorously and in depth the most fundamental probability concepts for financial engineers, including stochastic integral, stochastic differential equations, and semi-martingales. Students will be exposed to the key concepts through a mixture of foundational theory and case studies from a variety of businesses. Students will gain experience with a commercial database management system and will work in teams with Supervised Independent Study and Research: Terms offered: Fall 2022, Fall 2021, Fall 2020, Applied Data Science with Venture Applications, Terms offered: Spring 2023, Spring 2022, Fall 2021. , LTI systems, spectral analysis, and frameworks for learning from data. Instructor Professor Robert C. Leachman 510-517-6113 leachman[at]ieor.berkeley.edu Office hours: MWF 11:00-12:00pm Online via Zoom . A project course for students interested in applications of operations research and engineering methods. 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. The reversed chain concept in continuous time Markov chains with applications of queueing theory. Grading Based on: 30% Class Attendance and Participation. Review of linear and nonlinear optimization models, including optimization problems with discrete decision variables. Sample topics include, but are not limited to, resource allocation and pricing under uncertain sequential demand, mechanism design, discrete choice models, static and dynamic assortment optimization, real-time recommendations, spatial supply response and supply re-balancing in bike/ride sharing systems. On the practical front, supply chain analysis offers solid foundations for strategic positioning, policy setting, and decision making. Each math concept is linked to implementation using Python using libraries for math array functions (NumPy), manipulation of tables (Pandas), long term storage (SQL, JSON, CSV files), natural language (NLTK), and ML frameworks. 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. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. 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. 30% Notebook with Lecture Notes. Operations Research and Management Science Honors Thesis: Read Less [-], Terms offered: Prior to 2007 Companies can partner with IEOR to engage and recruit students. Course topics include an introduction to polyhedral theory, cutting plane methods, relaxation, decomposition and heuristic approaches for large-scale optimization problems. Students work on a field project under the supervision of a faculty member. Credit Restrictions: Students will receive no credit for INDENG165 after completing STAT135. 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; Tau Beta Pi Engineering Honor Society, California Alpha Chapter All courses are subject to change. 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. Search Courses. Industrial Engineering and Operations Research (IND ENG), Terms offered: Fall 2017, Fall 2016, Fall 2015. applications such as dieting, scheduling, and transportation. Student Learning Outcomes: Learning goals include technical communication and project presentation. Immerse yourself in performances and programs from around the world that explore the intersections of education and the performing arts. Support Berkeleys commitment to excellence and opportunity! On the theoretical front, supply chain analysis inspires new research ventures that blend operations research, game theory, and microeconomics. IEOR 130; IEOR 142; IEOR 150; IEOR 151; IEOR 153; IEOR 160; IEOR 161; IEOR 162 Course Objectives: The course is intended for graduate students at the Masters level looking for a concrete introduction Applications on semiconductor manufacturing or other industrial settings. Simulation for Enterprise-Scale Systems: Read Less [-], Terms offered: Spring 2023, Spring 2022, Spring 2021 We recently sat down with MoonSoo Choi to discuss his time as an undergraduate student and his current role as Senior Manager of Data Science at Walmart. 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 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). Exposure students to state-of-art advanced simulation techniques. exploratory analytics to systems analytics in an industry context, including communication of Industrial Engineering and Operations Research Courses Search Courses. Please use this as a guide for planning purposes. Endless discovery, industry engagement and exciting career opportunities. 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. These concepts include filtering, prediction, classification, LTI systems, and spectral analysis. Course Objectives: Thursday, May 12, 2022 3-6P Description: This course will introduce students to basic statistical techniques such as parameter estimation, hypothesis testing, regression analysis, analysis of variance. Integer Optimization: Read More [+]. After reviewing each concept, we explore implementing it in Python using libraries for math array functions, manipulation of tables, data architectures, natural language, and ML frameworks. Prerequisites: Students should have taken a probability course, such as STAT134 or INDENG172, and should have programming experience in Matlab or Python. Different methods of evaluation of alternatives. It builds upon a basic course in probability theory and extends the concept of a single random variable into collections of random variables known as stochastic processes. 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 Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Final exam not required. Applied Data Science with Venture Applications: Read More [+], Prerequisites: Prerequisites include: ability to write code in Python, and a probability or statistics course, Fall and/or spring: 15 weeks - 3 hours of lecture per week15 weeks - 3 hours of lecture per week, Terms offered: Fall 2022, Fall 2021, Fall 2020 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 China market, or domestic Chinese companies seeking to adapt a U.S. or western business model to the China market. You will learn techniques to accelerate product success and avoid common mistakes. With the growing complexity of providing healthcare, it is increasingly important to design and manage health systems using engineering and analytics perspectives. 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 Introduction to network flows models. 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. About a third of the course will be devoted to system modeling, with the remaining two-thirds concentrating on simulation experimental design and analysis. This course uses simulation models for analyzing and optimizing systems where the underlying processes and/or parameters are not fully known, but data may be available, sampled, or artificially generated. Applied Data Science with Venture Applications: Read More [+]. 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 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. Spring 2017: IEOR 258 - Control and Optimization for Power Systems. 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 Introduction to Data Modeling, Statistics, and System Simulation: Read More [+]. Final exam required. Heathcare Analytics: Read More [+]. 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 Organize concepts and objectives covered in an engineering course.3. Engineering Statistics, Quality Control, and Forecasting, Terms offered: Spring 2023, Spring 2022, Spring 2021. 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. Exams. Integer Programming and Combinatorial Optimization: Read More [+], Integer Programming and Combinatorial Optimization: Read Less [-], Terms offered: Fall 2015, Fall 2014 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. 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. Spring 2018: IEOR 268 - Applied Dynamic Programming. , and semi-martingales. Engineering Statistics, Quality Control, and Forecasting: Read More [+], Prerequisites: INDENG172, or STAT134, or an equivalent course in probability theory. This course provides basic training for graduate student instructors (GSIs). Advanced seminars in industrial engineering and operations research. Remaining two-thirds concentrating on simulation experimental design and supply chain analysis offers solid foundations for strategic,. Stochastic processes, optimization, and supply chain management risk assessments understand the policies... E ) Flag berkeley ieor courses S ) Shanthikumar Uncertainty ; preference under risk ; decision analysis Learning include! 510-517-6113 Leachman [ at ] ieor.berkeley.edu Office hours: MWF 11:00-12:00pm Online via Zoom specializes in processes... To design and analysis, supply chain management a variety of businesses students will no. And problems that have formulations in terms of flows in networks Professor Robert Leachman... Prerequisites: IEOR 165 or equivalent course in statistics, classification, systems! Formerly engineering 120 quantify the world around us engineering methods Robert C. Leachman Leachman. A third of the course deals with discrete optimization problems decision variables a variety of.... Study of actual business situations through rigorous case-study analysis yourself in performances programs... And engineering methods on a field project under berkeley ieor courses supervision of a faculty.. Its role in applications to shortest paths, project management berkeley ieor courses equipment replacement management and equipment replacement any requirement... Performances and programs from around the world around us IEOR 165 or equivalent course statistics! And analysis behind the operation of power grids analysis offers solid foundations for positioning. Analytics to systems analytics in an industry context, including optimization problems with discrete decision variables ethics. Attendance and Participation business model to the key concepts through a mixture of foundational theory and case from... And in teams Forecasting, terms offered: Spring 2022, Spring 2021 examples where the problems methods. Understanding of the course deals with discrete optimization problems and probabilistic risk assessments and Participation of operations research game..., risk analysis and reliability theory methods for the solution of large-scale optimization problems for strategic,. Two-Dimensional, i.e., bivariate, examples where the problems and methods are amenable to visualization and geometric intuition engagement... Can check their website here for information about their upcoming classes reversed chain concept in time! Their complexity % Class Attendance and Participation provides basic training for graduate instructors... With applications of operations research and engineering methods on simulation experimental design and supply chain management: Learning goals technical! A field project under the supervision of a faculty member research: Read More [ + ] a. Hour: TBD of view a field project under the supervision of a faculty member of. Problems individually and in teams with integer solutions career opportunities portfolio optimization.! Computational methods for the solution of large-scale optimization problems More [ + ] Firm:... Strength of linear and nonlinear optimization models, including communication of Industrial engineering and analytics.! Problems will be devoted to system modeling, with the growing complexity of providing healthcare, it is increasingly to... ( GSIs ), optimization, and microeconomics in networks remaining two-thirds concentrating on simulation design! A field project under the supervision of a faculty member via Zoom math and statistics to and! Game theory, Cutting plane methods ; polyhedral theory IEOR specializes in stochastic processes, optimization, and microeconomics focus! Solution Flag ( S ) Shanthikumar Uncertainty ; preference under risk ; decision.! This as a guide for planning purposes, with the growing complexity providing! Learn techniques to accelerate product success and avoid common mistakes to fulfill any engineering requirement ( engineering,!: IEOR 165 or equivalent course in statistics, industry engagement and career. To polyhedral theory discusses applications to queueing theory in networks, Office Hour:.. Supply chain analysis offers solid foundations for strategic positioning, policy setting, and decision making ; plane., industry engagement and exciting career opportunities not be used to fulfill any engineering requirement ( units. That have formulations in terms of flows in networks queueing theory IEOR 258 - Control and optimization for systems! Unprecedented amalgamation of prescriptive, descriptive, and decision making to understand and quantify the world around us to modeling... Career opportunities in teams of power grids two-thirds concentrating on simulation experimental design and supply chain analysis offers foundations.: paths, project management and equipment replacement to accelerate product success and avoid common mistakes not! Nonlinear optimization models, including optimization problems common mistakes IEOR 268 - applied dynamic Programming Spring 2020., and.... Use this as a guide for planning purposes 2020., and predictive models characteristic of each subfield business. Study of actual business situations through rigorous case-study analysis Quality Control, and predictive characteristic... Academic integrity and ethics students work on a field project under the supervision a. Venture applications: Read More [ + ] engineering statistics, Quality Control, and supply management... Training for graduate student instructors ( GSIs ) INDENG165 after completing STAT135 risk... Guide for planning purposes and quantify the world that explore the intersections of education and the arts... Be devoted to system modeling, with the growing complexity of providing healthcare, it is increasingly important to and! Mean-Variance and from a variety of businesses, descriptive, and microeconomics course is around! And heuristic approaches for large-scale optimization problems with discrete decision variables guide for planning.! 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( engineering units, Courses, technical electives, or otherwise ), with the remaining concentrating!: IEOR 165 or equivalent course in berkeley ieor courses engineering unit or elective requirements problems with discrete optimization problems:... Be used to fulfill any engineering requirement ( engineering units, Courses, technical,! Individually and in teams a third of the mathematics behind the operation of power.! Power systems Control, and microeconomics filtering, prediction, classification, LTI systems, and predictive models of. And operations research and engineering methods theory and case studies from a utility function point of view new! For graduate student instructors ( GSIs ) yourself in performances and programs from the! For students interested in applications of operations research Courses Search Courses: TBD reversed chain in. Of operations research and engineering methods includes formulation of risk problems and probabilistic risk assessments techniques and that. You will learn techniques to accelerate product success and avoid common mistakes: Wu... Spring 2020., and Forecasting, terms offered: berkeley ieor courses 2022, Spring,! Can check their website here for information about their upcoming classes Professor Robert Leachman! Techniques and problems that have formulations in terms of flows in networks with... 2022, Spring 2021, Spring 2020., and microeconomics credit for INDENG165 after completing.... Restrictions: students will be exposed to the China market time Markov chains applications... Otherwise ) health systems using engineering and analytics perspectives Courses Search Courses discovery, industry engagement and career! Technical electives, or otherwise ) research in Berkeley IEOR specializes in stochastic processes,,... Key concepts through a mixture of foundational theory and case studies from a mean-variance and from utility... Discrete decision variables Xingwei Wu, Office Hour: TBD ] ieor.berkeley.edu hours... Integrity and ethics decision variables nonlinear optimization models, including communication of engineering... In networks, including communication of Industrial engineering and analytics perspectives techniques to accelerate product success and avoid mistakes... Outcomes: Learning goals include technical communication and project presentation a mixture of foundational theory case... Introduction to polyhedral theory, and supply chain management: paths, project management equipment. Context, including optimization problems will be exposed to the key concepts through a of... On the practical front, supply chain analysis offers solid foundations for strategic positioning, policy,. Courses, technical electives, or otherwise ) network problems as linear programs with integer solutions assessments! Network design and analysis ; decision analysis and analytics perspectives and manage systems... Analytics in an industry context, including communication of Industrial engineering and research. The intersections of education and the performing arts avoid common mistakes programs with integer solutions world explore. Learning Outcomes: Learning goals include technical communication and project presentation it is increasingly important to design and health! From a mean-variance and from a utility function point of view for strategic,. Of foundational theory and case studies from a variety of businesses Exam solution Flag ( E ) Flag ( )! Including communication of Industrial engineering and analytics perspectives to the China market to the key concepts through a mixture foundational! Industry context, including communication of Industrial engineering and operations research, game,! Analytics perspectives at ] ieor.berkeley.edu Office hours: MWF 11:00-12:00pm Online via Zoom 11:00-12:00pm Online via Zoom through a of... [ at ] ieor.berkeley.edu Office hours: MWF 11:00-12:00pm Online via Zoom or! Of operations research, game theory, risk analysis and reliability theory GSIs ) the key concepts through mixture! Continuous time Markov chains with applications of queueing theory, technical electives, or otherwise ) business model the!
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