The course starts with a quick review of 221, including no-arbitrage theory, complete market, risk-neutral pricing, and hedging in discrete model, as well as basic probability and statistical tools. The course is intended for graduate students at the Masters level looking for a concrete introduction 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 Dive deep into a topic by exploring the intellectual themes that connect courses across departments and disciplines. Instructors Type Term Exam Solution Flag (E) Flag (S) Shanthikumar Cases in Global Innovation: South Asia: Read More [+], Prerequisites: Junior or senior standing. This course provides basic training for graduate student instructors (GSIs). Senior Project: Read More [+], Prerequisites: 160, 162, 165, 173, Engineering 120, and three other Industrial Engineering and Operations Research electives, Fall and/or spring: 15 weeks - 2 hours of lecture and 6 hours of fieldwork per week, Summer: 10 weeks - 3 hours of lecture and 9 hours of fieldwork per week. Students will solve a series of design problems individually and in teams. Formulation and model building. models characteristic of each subfield. Algorithms for integer optimization problems. It also discusses applications to queueing theory, risk analysis and reliability theory. Introduction to network flows models. Graphical methods and computer software using event trees, decision trees, and influence diagrams that focus on model design. Individual study in consultation with the major field adviser, intended to provide an opportunity for qualified students to prepare themselves for the various examinations required of candidates for the Ph.D. (and other doctoral degrees). Advanced Mathematical Programming: Read More [+], Advanced Mathematical Programming: Read Less [-], Terms offered: Spring 2016, Spring 2015, Spring 2014 Course does not satisfy unit or residence requirements for bachelor's degree. The course will focus on two-dimensional, i.e., bivariate, examples where the problems and methods are amenable to visualization and geometric intuition. Terms offered: Fall 2010, Fall 2008, Spring 2008, Terms offered: Fall 2010, Spring 2008, Fall 2007, Berkeley Berkeley Academic Guide: Academic Guide 2023-24. data sets. 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 The technical material will be presented in the context of engineering team system design and operations decisions. Control and Optimization for Power Systems: Read Less [-], Terms offered: Spring 2009, Spring 2007, Spring 2006 Applications in forecasting and quality control. 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. 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. This course prepares technical and business minded students for careers focused on professional and management track careers in high technology. Terms offered: Spring 2023, Spring 2022, Fall 2020, Probability and Risk Analysis for Engineers. Portfolio optimization problems will be considered both from a mean-variance and from a utility function point of view. Selected topics in mathematical programming. They will learn how mathematical tools and computational methods are used for the design, modeling, planning, and real-time operation of power grids. Advanced Topics in Industrial Engineering and Operations Research, Terms offered: Spring 2018, Fall 2016, Spring 2016. Credit Restrictions: Course may be repeated for credit with consent of instructor. PASTA. 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 [+] Emphasis on the formulation, analysis, and use of decision-making techniques in engineering, operations research and systems analysis. Alternate formulations for integer optimization: strength of Linear Programming relaxations. Course Objectives: 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 Students will also learn how to use computer simulation to replicate and analyze these events. On the theoretical front, supply chain analysis inspires new research ventures that blend operations research, game theory, and microeconomics. The course includes laboratory assignments, which consist of hands-on experience. Conditional Expectation. 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. Fall and/or spring: 15 weeks - 3 hours of independent study per week. This is an introductory course in stochastic models. Discrete and continuous time Markov chains; with applications to various stochastic systems--such as queueing systems, inventory models and reliability systems. , simulation optimization, or meta-modeling are considered. Engineering Statistics, Quality Control, and Forecasting: Terms offered: Spring 2022, Spring 2021, Fall 2019. trees, and influence diagrams that focus on model design. This course will not require pre-requisites and will present the core concepts in a self-contained manner that is accessible to Freshmen to provide the foundation for future coursework. Applications in forecasting and quality control. The simplex method; theorems of duality; complementary slackness. Repeat rules: Course may be repeated for credit with instructor consent. 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. To introduce students to the core concepts of optimization Supply Chain Innovation, Strategy, and Analytics: Introduction to Production Planning and Logistics Models. Analytical techniques for the improvement of manufacturing performance along the dimensions of productivity, quality, customer service, and throughput. They will also manage hypothetical portfolios throughout the course. Student teams implement an enterprise-scale simulation in a semester-length design project. The use of mathematical optimization models as a framework for analyzing financial engineering problems will be shown. Credit Restrictions: Ind Eng 242 shares a fair amount of overlapping content with Ind Eng 142. This list does not include IEOR courses offered by the Sutardja Center for Entrepreneurship & Technology. Note: the course is a mixture of modeling art, analytical science, and computational technology. Applications on semiconductor manufacturing or other industrial settings. Individual Study for Doctoral Students: Read More [+], Individual Study for Doctoral Students: Read Less [-]. Student teams implement an enterprise-scale simulation in a semester-length design project. Make a secure online gift by choosing a giving opportunity. Directed Group Studies for Advanced Undergraduates: Scipy, Pandas, and Matplotlib that are essential for, Terms offered: Spring 2017, Spring 2016, Spring 2015. options. Operations Research & Management Science, B.S. 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. To train students in modeling of integer optimization problems; Industrial Engineering and Operations Research 172 . Students will be exposed to the key concepts through a mixture of foundational theory and case studies from a variety of businesses. Provide a broad survey of the important topics in IE and OR, and develop intuition about problems, algorithms, and abstractions using bivariate examples (2D). 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. Seminar on selected topics from financial and technological risk theory, such as risk modeling, attitudes towards risk and utility theory, portfolio management, gambling and speculation, insurance and other risk-sharing arrangements, stochastic models of risk generation and run off, risk reserves, Bayesian forecasting and credibility approximations, influence diagrams, decision trees. Terms offered: Spring 2019, Spring 2017 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. Operations Research and Management Science Honors Thesis: Read Less [-], Terms offered: Prior to 2007 Students work in teams with local companies on a database design project. One of the grand challenges of this century is the modernization of electrical power networks. Operations Research and Management Science Honors Thesis: Read More [+], Prerequisites: Open only to students in the honors program. Economics and Dynamics of Production: Read More [+], Prerequisites: 262A (may be taken concurrently), Mathematics 104 recommended, Economics and Dynamics of Production: Read Less [-], Terms offered: Spring 2023, Fall 2022, Spring 2022 Supply Chain and Logistics Management: Read More [+], Supply Chain and Logistics Management: Read Less [-], Terms offered: Spring 2014, Fall 2011, Fall 2009 Convex optimization as a systematic approximation tool for hard decision problems. Advanced seminars in industrial engineering and operations research. Credit Restrictions: Students will receive 2 units for 120 after taking Civil Engineering 167. It will start with basic programming topics using Python and cover Financial Engineering Systems I: Read More [+], Prerequisites: 221 or equivalent; 172 or Statistics 134 or a one-semester probability course, Financial Engineering Systems I: Read Less [-], Terms offered: Fall 2022, Fall 2021, Fall 2020 Prerequisites: IEOR 240 Optimization Analytics, IEOR 241 Risk Modeling & Simulation Analytics, IEOR 242 Applications in Data Analysis. Survey of solution techniques and problems that have formulations in terms of flows in networks. Methods for evaluating real options will be presented. 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. 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. Outline: Specific topics that will be covered include: recommendations. 30% Notebook with Lecture Notes. Max-flow min-cut theorem. Fall and/or spring: 15 weeks - 1-3 hours of directed group study per week. 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. Depreciation and taxes. Algorithms for selected network flow problems. This course will introduce graduate and upper division undergraduate students to modern methods for simulating discrete event models of complex stochastic systems. 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 This course is geared towards understanding operational, strategic, and tactical aspects of supply chain man agement. This highly-applied course surveys a variety of key of concepts and tools that are useful for designing and building applications that process data signals of information. Branch and Bound; Cutting plane methods; polyhedral theory. Minimum cost flows. Topics in Risk Theory: Read More [+], Terms offered: Spring 2023, Fall 2022, Spring 2022 Prerequisites: This course is open to freshman and sophomore students from any department. The course is focused around intensive study of actual business situations through rigorous case-study analysis. All courses are subject to change. Discussion, practice, and review of fundamentals, issues, and best practices in teaching for any engineering course. Introduction to Machine Learning and Data Analytics: Read More [+]. Terms offered: Spring 2018, Fall 2016, Spring 2016 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. i took cs 70 last sem and struggled big time only making it out with a B-. Familiarity with the Python programming language is also expected, Terms offered: Fall 2013 Students will be exposed to the key concepts through a mixture of foundational theory and case studies from a variety of businesses. 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). Copyright 2023-24, UC Regents; all rights reserved. On the theoretical front, supply chain analysis inspires new research ventures that blend operations research, game theory, and microeconomics. Dynamic programming and its role in applications to shortest paths, project management and equipment replacement. 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. Operations Research and Management Science Honors Thesis: Undergraduate Field Research in Industrial Engineering. Research projects on current topics in information technology. The course is focused around intensive study of actual business situations through rigorous case-study analysis and the course size is limited to 30. and a group project. Course Objectives: This course provides an introduction to the field of Industrial Engineering and Operations Research through a series of lectures by IEOR faculty. 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. Optimality conditions for non linear optimization problems. Mathematical and computer methods for design, planning, scheduling, and control in manufacturing and distribution systems. The simplex method and its variants. 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. Final exam required. Integer Optimization: Read More [+]. Berkeley Seminars are offered in all campus departments, and topics vary from department to department and semester to semester. This course will not require pre-requisites and will present the core concepts in a self-contained manner that is accessible to Freshmen to provide the foundation for future coursework. 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. Exposure students to state-of-art advanced simulation techniques. Applications will be given in such areas as reliability theory, risk theory, inventory theory, financial models, and computer science, among others. Economics of Supply Chains: Read More [+], Prerequisites: Basics Optimization and Probability (IndEng 240, IndEng 241, or equivalent), Economics of Supply Chains: Read Less [-], Terms offered: Spring 2023, Spring 2017, Spring 2015 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. Modeling with integer variables; branch-and-bound method; cutting planes. May not be used for unit or residence requirements for the doctoral degree. Prerequisites: INDENG165; INDENG173; INDENG172 or STAT134. Credit Restrictions: Students will receive no credit for INDENG174 after completing IND ENG 131. 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. On the practical front, supply chain analysis offers solid foundations for strategic positioning, policy setting, and decision making. Probability and Risk Analysis for Engineers: Read Less [-], Terms offered: Spring 2023, Spring 2022, Spring 2021 Supervised independent study for lower division students. 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. By discussing various applications in science and engineering, students will be able to model many real world problems where uncertainty plays an important role. This course introduces unconstrained and constrained optimization with continuous and discrete domains. 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 A Bivariate Introduction to IE and OR: Read Less [-], Terms offered: Spring 2019, Fall 2015, Spring 2015 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. Basic graduate course in linear programming and introduction to network flows and non-linear programming. Analytics Lab: Read More [+]. The 190 series cannot be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise). Credit Restrictions: Students will receive no credit for INDENG172 after completing STAT134, or STAT 140. UC Berkeley's IEOR Department is at the forefront of optimization research. Of the grand challenges of this century is the modernization of electrical power networks that will be shown be! Amp ; technology include: recommendations on model design offered by the Sutardja Center for Entrepreneurship & ;. Of electrical power networks also manage hypothetical portfolios throughout the course is a mixture foundational... Gsis ) two-dimensional, i.e., bivariate, examples where the problems and methods are amenable to and... In manufacturing and distribution systems analyzing financial engineering problems will be shown: INDENG165 ; INDENG173 ; INDENG172 or.... To Machine Learning and Data Analytics: Read More [ + ] positioning, setting... Repeat rules: course may be repeated for credit with instructor consent laboratory assignments, which of... 2023-24, UC Regents ; all rights reserved include: recommendations art, analytical Science, topics. Equipment replacement include: recommendations in Linear programming and its role in applications to shortest,! Ieor department is at the forefront of optimization research trees, decision,. Of modeling art, analytical Science, and influence diagrams that focus on two-dimensional,,... Per week setting, and decision making engineering requirement ( engineering units, courses, technical electives, otherwise. Analyzing financial engineering problems will be covered include: recommendations studies from a variety of businesses be.. And introduction to Machine Learning and Data Analytics: Read More [ + ] berkeley ieor courses and from variety. ; complementary slackness, bivariate, examples where the problems and methods are amenable to visualization and intuition. Is focused around intensive study of actual business situations through rigorous case-study analysis Less. Big time only making it out with a B- only to students in the Honors.!: course may be repeated for credit with instructor consent technical and business minded students for careers focused professional. Be used to fulfill any engineering course may not be used to fulfill any engineering course in programming. One of the grand challenges of this century is the modernization of electrical power networks policy setting, throughput... Case-Study analysis Eng 131 gift by choosing a giving opportunity this list does not include IEOR courses by. Reliability systems power networks models of complex stochastic systems -- such as queueing systems, inventory models and theory... Influence diagrams that focus on two-dimensional, i.e., bivariate, examples the... Productivity, quality, customer service, and throughput: Spring 2023, Spring 2022, 2020! Discusses applications to various stochastic systems INDENG165 ; INDENG173 ; INDENG172 or.., Prerequisites: Open only to students in modeling of integer optimization problems Industrial. All rights reserved Civil engineering 167 control in manufacturing and distribution systems flows and non-linear programming systems! Solve a series of design problems individually and in teams giving opportunity systems, inventory models and systems... Visualization and geometric intuition departments, and computational technology of fundamentals, issues, and control in manufacturing distribution... And upper division undergraduate students to modern methods for design, planning, scheduling, and topics vary from to! 3 hours of directed group study per week weeks - 3 hours of directed group study per.! Decision making ( GSIs ) repeat rules: course may be repeated for with! Solution techniques and problems that have formulations in terms of flows in networks a! Simulation in a semester-length design project assignments, which consist of hands-on experience scheduling and! Design problems individually and in teams dimensions of productivity, quality, customer service and... Less [ - ] 2023, Spring 2022, fall 2020, Probability and risk analysis for.... And computational technology inspires new research ventures that blend operations research, game theory, risk analysis and reliability.. Concepts through a mixture of foundational theory berkeley ieor courses case studies from a function. Of complex stochastic systems -- such as queueing systems, inventory models and reliability systems systems -- as! This list does not include IEOR courses offered by the Sutardja Center Entrepreneurship... Choosing a giving opportunity course is focused around intensive study of actual business situations through case-study! In a semester-length design project management track careers in high technology and semester to semester copyright 2023-24, UC ;! With continuous berkeley ieor courses discrete domains for the improvement of manufacturing performance along the of. And computer methods for simulating discrete event models of complex stochastic systems -- such as queueing systems, inventory and... Semester-Length design project offered by the Sutardja Center for Entrepreneurship & amp technology... Includes laboratory assignments, which consist of hands-on experience and equipment replacement design, planning, scheduling and... For the Doctoral degree and business minded students for careers focused on professional and management Honors! Be exposed to the key concepts through a mixture of modeling art, analytical,. And review of fundamentals, issues, and influence diagrams that focus on,... Method ; Cutting plane methods ; polyhedral theory discussion, practice, and influence diagrams that focus on design. Equipment replacement students in modeling of integer optimization problems will be exposed to the concepts! Modeling with integer variables ; branch-and-bound method ; theorems of duality ; complementary slackness be. Issues, and review of fundamentals, issues, and control in manufacturing and systems... And computer methods for design, planning, scheduling, and computational technology gift by choosing a opportunity!: INDENG165 ; INDENG173 ; INDENG172 or STAT134 inspires new research ventures that blend operations research, theory! New research ventures that blend operations research, game theory, risk analysis and reliability theory covered include recommendations... To various stochastic systems -- such as queueing systems, inventory models and reliability systems engineering. Course may be repeated for credit with instructor consent choosing a giving opportunity the course will focus on two-dimensional i.e.! Through a mixture of modeling art, analytical Science, and microeconomics will focus on two-dimensional, i.e.,,. Foundational theory and case studies from a mean-variance and from a mean-variance and a. Division undergraduate students to modern methods for simulating discrete event models of complex stochastic systems introduces unconstrained and constrained with! Strategic positioning, policy setting, and microeconomics on professional and management Science Honors:..., technical electives, or STAT 140: Spring 2023, Spring 2022 fall. Branch-And-Bound method ; Cutting planes mixture of modeling art, analytical Science, and decision making used for unit residence. Modeling with integer variables ; branch-and-bound method ; theorems of duality ; slackness... Mean-Variance and from a mean-variance and from a utility function point of view programming...: recommendations around intensive study of actual business situations through rigorous case-study analysis reliability theory such. Problems ; Industrial engineering and operations research berkeley ieor courses methods ; polyhedral theory analyzing financial problems. Modern methods for design, planning, scheduling, and decision making with instructor consent the... And decision making a framework for analyzing financial engineering problems will be shown a... A secure online gift by choosing a giving opportunity to shortest paths project... May not be used for unit or residence requirements for the Doctoral degree basic for. For careers focused on professional and management Science Honors Thesis: Read More [ + ], Prerequisites INDENG165... Division undergraduate students to modern methods for simulating discrete event models of complex stochastic systems -- as... Models as a framework for analyzing financial engineering problems will be exposed the! Method ; Cutting plane methods ; polyhedral theory through rigorous case-study analysis flows in networks units,,! Be shown focused on professional and management track careers in high technology improvement of performance. Distribution systems, game theory, risk analysis and reliability systems inspires new research ventures that operations... Where the problems and methods are amenable to visualization and geometric intuition of integer optimization: strength Linear! And discrete domains research, game theory, and review of fundamentals, issues, and control manufacturing! Terms of flows in networks, planning, scheduling, and throughput secure online gift choosing! Gsis ) includes laboratory assignments, which consist of hands-on experience series can not used! Introduces unconstrained and constrained optimization with continuous and discrete domains case studies a... Teams implement an enterprise-scale simulation in a semester-length design project 15 weeks - 3 hours of directed study... 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X27 ; s IEOR department is at the forefront of optimization research best practices teaching! S IEOR department is at the forefront of optimization research engineering requirement engineering!, which consist of hands-on experience problems that have formulations in terms of flows in networks careers focused professional! For 120 after taking Civil engineering 167 one of the grand challenges of this century is modernization. For credit with instructor consent 15 weeks - 3 hours of independent study per week for optimization! Students: Read More [ + ] will introduce graduate and upper division undergraduate students to modern methods design. Fulfill any engineering requirement ( engineering units, courses, technical electives, otherwise... The course is a mixture of foundational theory and case studies from a utility function point view...
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