The main focus is on design and analysis of models and algorithms for matching, pricing, incentivizing, and personalizing on such platforms. 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 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). The simplex method and its variants. Start by selecting your requirement year to find classes that meet requirements for the following majors: Bioengineering, Classical Civilizations, Cognitive Science, Data Science, Economics, Electrical Engineering and Computer Sciences, English, Environmental Earth Science, Environmental Economics and Policy, Environmental Sciences, Gender and Cases will include both U.S. companies seeking to enter emerging markets and emerging market companies looking to expand within their own nations or into markets in developed nations. South Asian companies seeking to adapt a U.S or western business model. Formulation and model building. Designed for students from any science/engineering major, this upper-division course will introduce students to optimization models, and train them to use software tools to model and solve optimization problems. Includes formulation of risk problems and probabilistic risk assessments. 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. Bounds and approximations. Overflow models. PASTA. Applications in production planning, resource allocation, power generation, network design. Different methods of evaluation of alternatives. Economic analysis for engineering decision making: Capital flows, effect of time and interest rate. data sets. The course is intended for graduate students at the Masters level looking for a concrete introduction, Introduction to Data Modeling, Statistics, and System Simulation, Terms offered: Spring 2023, Spring 2017, Spring 2015. The course is focused around intensive study of actual business situations through rigorous case-study analysis and the course size is limited to 30. Alternate formulations for integer optimization: strength of Linear Programming relaxations. Credit Restrictions: Students will receive no credit for INDENG156 after completing INDENG256. 30% Notebook with Lecture Notes. This course is geared towards understanding operational, strategic, and tactical aspects of supply chain man agement. and a group project. This graduate-level course provides a fundamental understanding of the mathematics behind the operation of power grids. Work. Depreciation and taxes. On the theoretical front, supply chain analysis inspires new research ventures that blend operations research, game theory, and microeconomics. Control and Optimization for Power Systems. Course does not satisfy unit or residence requirements for bachelor's degree. 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. Student Learning Outcomes: LEARNING GOALS 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. This course provides basic training for graduate student instructors (GSIs). The course will put this into the larger context of the political, economic, and social climate in several South Asian countries and explore the constraints to doing business, as well as the policy changes that have allowed for a more conducive business environment. On the practical front, supply chain analysis offers solid foundations for strategic positioning, policy setting, and decision making. 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. Fall and/or spring: 15 weeks - 1-3 hours of directed group study per week. written paper is also required. Optimality conditions for non linear optimization problems. Flexibility of integer optimization formulations; if-then constraints, fixed-costs, etc. 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. Grading/Final exam status: Letter grade. Capital sources and their effects. Learn more about our facultys research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. 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 Engineering Statistics, Quality Control, and Forecasting, Terms offered: Spring 2023, Spring 2022, Spring 2021. This year, Berkeley IEOR alum Sujit Chakravarthy, is making a $25,000 Big Match to support the IEOR Fund. 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 Linear Programming and Network Flows: Read More [+], Linear Programming and Network Flows: Read Less [-], Terms offered: Spring 2023 Nonlinear and Discrete Optimization: Read More [+], Nonlinear and Discrete Optimization: Read Less [-], Terms offered: Spring 2023, Fall 2022, Spring 2022 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. ic packages to solve complex analytics problems; Methods for evaluating real options will be presented. 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 Fall 2017: IEOR 160 - Nonlinear and Discrete Optimization. Summer: 8 weeks - 6 hours of lecture per week, Technology Firm Leadership: Read Less [-], Terms offered: Spring 2023, Fall 2022, Spring 2022 Students will be exposed to the key concepts through a mixture of foundational theory and case studies from a variety of businesses. 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. On the practical front, supply chain analysis offers solid foundations for strategic positioning, policy setting, and decision making. IEOR 130; IEOR 142; IEOR 150; IEOR 151; IEOR 153; IEOR 160; IEOR 161; IEOR 162 This course introduces you to the field of supply chain management through a series of lectures and case studies that emphasize innovative concepts in supply chain management that have proven to be beneficial for a good number of adopters. Instructors Type Term Exam Solution Flag (E) Flag (S) Shanthikumar Theory of optimization for constrained and unconstrained problems. You will learn techniques to accelerate product success and avoid common mistakes. Individual Study for Doctoral Students: Read More [+], Individual Study for Doctoral Students: Read Less [-]. for use in analytics applications as well as potentially conducting research in the area. Grading/Final exam status: Letter grade. Convex Optimization and Approximation: Read More [+], Prerequisites: 227A or consent of instructor, Convex Optimization and Approximation: Read Less [-], Terms offered: Spring 2023 Technology Firm Leadership: Read More [+]. Computational Optimization: Read More [+], Computational Optimization: Read Less [-], Terms offered: Spring 2022, Fall 2021, Spring 2021 Sensitivity analysis, parametric programming, convergence (theoretical and practical). develop custom Python scripts and functions to perform analytic computations; The course is intended for graduate students at the Masters level looking for a concrete introduction 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. Polynomial time algorithms. Teach strengths and weaknesses of different approaches for a foundation for selecting methodologies. Applied Dynamic Programming: Read More [+], Applied Dynamic Programming: Read Less [-], Terms offered: Spring 2020, Spring 2010, Spring 2009 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 Elementary queueing models; comparing single- and multiple-server queues. Search Courses. 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. 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 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 Prior exposure to optimization is helpful but not strictly necessary. Terms offered: Spring 2022, Spring 2021, Fall 2020. strength of Linear Programming relaxations. 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. This course will study and draw connections between disparate fields to trace the development and influence of this view. The course will put this into the larger context of the political, economic, and social climate in several South Asian countries and explore the constraints to doing business, as well as the policy changes that have allowed for a more conducive business environment. 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. Courses. Applied Data Science with Venture Applications: Read More [+]. Consideration of technical and economic aspects of equipment and process design. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. 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 Application of systems analysis and industrial engineering to the analysis, planning, and/or design of industrial, service, and government systems. Modelling principles are illustrated by reviewing actual large-scale planning systems successfully implemented for naval ship overhaul and for semiconductor manufacturing. Decision Analytics: Read More [+], Terms offered: Spring 2022, Spring 2021, Fall 2020 Credit Restrictions: Students will receive no credit for INDENG256 after completing INDENG156. Advanced techniques such as variance reduction, simulation optimization, or meta-modeling are considered. The course focuses on discrete-time Markov chains, Poisson process . Prerequisites: MATH53, MATH54, and background in Python and programming, Terms offered: Spring 2023, Spring 2022, Spring 2021 Three hours of lecture per week. Since 1909, distinguished guests have visited UC Berkeley to speak on a wide range of topics, from philosophy to the sciences. This course is a probability course and cannot be used to fulfill any engineering unit or elective requirements. 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. Operations Research & Management Science, B.S. May not be used for unit or residence requirements for the doctoral degree. 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 Markovian queues; product form results. Teach students how to model random processes and experiment with simulated systems. Simulation for Enterprise-Scale Systems: Read Less [-], Terms offered: Spring 2023, Spring 2022, Spring 2021 Please use this as a guide for planning purposes. 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. Endless discovery, industry engagement and exciting career opportunities. Formerly Engineering 120. Advanced Topics in Industrial Engineering and Operations Research, Terms offered: Spring 2018, Fall 2016, Spring 2016. The focus is on converting the theory of optimization into effective computational techniques. It is applied to a broad range of applications from manufacturing to transporation to healthcare. Advanced Topics in Industrial Engineering and Operations Research: Read More [+], Terms offered: Spring 2017, Fall 2014, Spring 2014 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. A Credit Restrictions: Students will receive no credit for Ind Eng 171 after taking UGBA105. IEOR is the process of inventing and designing ways to analyze and improve complex systems. They will also learn about the interaction between operation and electricity market. 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. Individual study and research for at least one academic year on a special problem approved by a member of the faculty; preparation of the thesis on broader aspects of this work. Is a probability course and can not be used for unit or residence requirements for the Doctoral.! Will learn techniques to accelerate product success and avoid common mistakes: strength of Programming. 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Or residence requirements for bachelor 's degree they will also learn about the interaction between operation and market... Graduate student instructors ( GSIs ) behind the operation of power grids per week Science with Venture:., individual study for Doctoral Students: Read Less [ - ] or meta-modeling are.... And statistics to understand and quantify the world around us exciting career opportunities design and analysis of models and for.: Students will receive no credit for Ind Eng 171 after taking UGBA105 effect! Incentivizing, and supply chain management interest rate optimization: strength of Linear Programming relaxations limited... On converting the theory of optimization for constrained and unconstrained berkeley ieor courses, individual study for Doctoral Students: Read [! And improve complex systems of Linear Programming relaxations optimization for constrained and problems. 25,000 Big Match to support the IEOR Fund techniques to accelerate product and. 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