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On the practical front, supply chain analysis offers solid foundations for strategic positioning, policy setting, and decision making. Terms offered: Spring 2023, Fall 2022, Spring 2022 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 Applications in production planning and resource allocation. Student teams implement an enterprise-scale simulation in a semester-length design project. Operations Research & Management Science, B.S. Standard topics include Girsanov transformation, martingale representation theorem, Feyman-Kac formula, and American and exotic option pricings. The course is 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. Terms offered: Spring 2022, Spring 2021, Spring 2020, Spring 2019, Spring 2018, Spring 2017. , control, finance, data mining, operations research. Repeat rules: Course may be repeated for credit when topic changes. Individual Study for Doctoral Students: Read More [+], Individual Study for Doctoral Students: Read Less [-]. While these two programs share some core technical courses, the IEOR Master of Engineering program prepares students for engineering leadership and offers a curriculum with a balance of management and technical content. Random walks with applications. Applied Dynamic Programming: Read More [+], Applied Dynamic Programming: Read Less [-], Terms offered: Spring 2020, Spring 2010, Spring 2009 Dynamic Production Theory and Planning Models: Read More [+], Dynamic Production Theory and Planning Models: Read Less [-], Terms offered: Spring 2017, Spring 2014, Spring 2011 In this course, students will learn essential Product Management skills by putting theory into practice, on a product or idea of your choosing. Development of analytical tools for improving efficiency, customer service, and profitability of production environments. Simulation for Enterprise-Scale Systems: Read More [+]. Group Studies, Seminars, or Group Research: Read Less [-], Terms offered: Summer 2023 Second 6 Week Session, Fall 2019, Fall 2016 Directed Group Studies for Advanced Undergraduates: Read More [+], Prerequisites: Senior standing in Engineering, Fall and/or spring: 15 weeks - 1-4 hours of directed group study per week, Directed Group Studies for Advanced Undergraduates: Read Less [-], Terms offered: Fall 2022, Fall 2021, Fall 2020 Mathematical Programming II: Read More [+], Mathematical Programming II: Read Less [-], Terms offered: Fall 2022, Fall 2021, Fall 2020 https://ieor.berkeley.edu/wp-content/uploads/2021/10/iise_EDIT_2_captions.mp4, Meet One of UC Berkeleys Oldest Living Alumni, Dr. Ernst S. Valfer, Javad Lavaei Named AAIA Fellow and Awarded IEEE CSS Antonio Ruberti Young Researcher Prize, Berkeley IEOR Graduate Named to Forbes 30-Under-30 List, Student Stories: Community by Shreejal Luitel, B.A. Supervised Group Study and Research: Read Less [-], Terms offered: Prior to 2007 develop custom Python scripts and functions to perform analytic computations; Units may not be used to meet either unit or residence requirements for a master's degree. Topics include: preparing a syllabus; public speaking and coping with language barriers; creating effective slides and exams; differing student learning styles; grading; encouraging diversity, equity, and inclusion; ethics; dealing with conflict and misconduct; and other topics relevant to serving as an effective teaching assistant. These ventures result in an unprecedented amalgamation of prescriptive, descriptive, and predictive models characteristic of each subfield. It also discusses applications to queueing theory, risk analysis and reliability theory. Prerequisites: IEOR 165 or equivalent course in statistics. Organize concepts and objectives covered in an engineering course.3. Since 1909, distinguished guests have visited UC Berkeley to speak on a wide range of topics, from philosophy to the sciences. Technology Firm Leadership: Read More [+]. Transportation and logistics problems. We will focus primarily on both quantitative and qualitative issues which arise in the integrated design and management of the entire logistics network. Design and development of effective industrial production planning systems. 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 Logistics Network Design and Supply Chain Management: Read More [+], Prerequisites: INDENG160, INDENG162 or senior standing, Logistics Network Design and Supply Chain Management: Read Less [-], Terms offered: Not yet offered Practice fair and helpful evaluation of student work.After completion of the course, GSIs will be able to perform the following course-related tasks: Support Berkeleys commitment to excellence and opportunity! Students will solve a series of design problems individually and in teams. Simulation for Enterprise-Scale Systems: Read Less [-], Terms offered: Spring 2023, Spring 2022, Spring 2021 The emphasis will be on computational methods such as variants of GARCH, Black-Litterman, conic optimization, Monte Carlo simulation for risk and optimization, factor modeling. Supply Chain Innovation, Strategy, and Analytics: Read More [+], Prerequisites: Introductory course on Production and Inventory Control or Operations Management, Supply Chain Innovation, Strategy, and Analytics: Read Less [-], Terms offered: Fall 2022, Fall 2021, Fall 2020 These ventures result in an unprecedented amalgamation of prescriptive, descriptive, and predictive models characteristic of each subfield. In this graduate course, we focus on the systematic design of databases and interfaces for commercial and industrial applications. Please use this as a guide for planning purposes. The use of mathematical optimization models as a framework for analyzing financial engineering problems will be shown. The result "L = (lambda) w" and other conservation laws. Final exam not required. Learn more about our facultys research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. Cases in Global Innovation: South Asia: Read More [+], Prerequisites: Junior or senior standing. 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 using powerful Python packages such as Numpy, Scipy, Pandas, and Matplotlib that are essential for Location MWF, 10:00-11:00am Online via Zoom. Share an intellectual experience with faculty and students by reading "Interior Chinatown" over the summer, attending author Charles Yu's live event on August 26, signing up for L&S 10: The On the Same Page Course, and participating in fall program activities. The field has made significant strides on both theoretical and practical fronts. Integer Programming and Combinatorial Optimization: Read More [+], Integer Programming and Combinatorial Optimization: Read Less [-], Terms offered: Fall 2015, Fall 2014 On the practical front, supply chain analysis offers solid foundations for strategic positioning, policy setting, and decision making. 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 The PDF will include all information unique to this page. Control and Optimization for Power Systems: Terms offered: Spring 2009, Spring 2007, Spring 2006. use machine learning to provide the adaptation. Students will not receive credit after taking Engineering 120. Relationship with linear programming, transportation problems, electrical networks and critical path scheduling. The course introduces modern open source, computer programming tools, libraries, and code samples that can be used to implement data applications. The Black-Scholes option-pricing formula will be derived and studied. Credit Restrictions: Students will receive no credit for INDENG172 after completing STAT134, or STAT 140. Supervised independent study. Methods for evaluating real options will be presented. Student teams implement an enterprise-scale simulation in a semester-length design project. This seminar and discussion class aims to survey current and classic research on innovation and help Decision Analytics: Read More [+], Terms offered: Spring 2022, Spring 2021, Fall 2020 Course Objectives: Branch and Bound; Cutting plane methods; polyhedral theory. Spring 2017: IEOR 268 - Applied Dynamic Programming. doctoral students formulate their research designs. Dynamic programming and its role in applications to shortest paths, project management and equipment replacement. On the other hand, the Master of Analytics focuses on . 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. This course addresses modeling and algorithms for integer programming problems, which are constrained optimization problems with integer-valued variables. 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. Topics in Risk Theory: Read More [+], Terms offered: Spring 2023, Fall 2022, Spring 2022 IEOR utilizes math and statistics to understand and quantify the world around us. 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 This course will introduce students to basic statistical techniques such as parameter estimation, hypothesis testing, regression analysis, analysis of variance. Describe different mathematical abstractions used in IEOR (e.g., graphs, queues, Markov chains), and how to use these abstractions to model real-world problems. Systems Analysis and Design Project: Read More [+], Systems Analysis and Design Project: Read Less [-], Terms offered: Prior to 2007 ic packages to solve complex analytics problems; Degree Programs Industrial Engineering and Operations Research Industrial Engineering and Operations Research About the Program Bachelor of Science (BS) The Bachelor of Science (BS) degree in Industrial Engineering and Operations Research (IEOR) is designed to prepare students for technical careers in production or service industries. Enable the students to recognize when problems can be modeled as integer optimization problems. Renewal reward processes with application to inventory, congestion, and replacement models. 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. Summer: 8 weeks - 6 hours of lecture per week, Technology Firm Leadership: Read Less [-], Terms offered: Spring 2023, Fall 2022, Spring 2022 The simplex method and its variants. Prerequisites: upper division standing. Probability and Risk Analysis for Engineers: the theory, the course covers stochastic simulation techniques that will allow students to go beyond the models and applications discussed in the course. 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. Grading Based on: 30% Class Attendance and Participation ; 30% Notebook with Lecture Notes Introduction to Data Modeling, Statistics, and System Simulation: Read More [+]. 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. 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. . This course will study and draw connections between disparate fields to trace the development and influence of this view. 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. This course is a probability course and cannot be used to fulfill any engineering unit or elective requirements. Berkeley Seminars are offered in all campus departments, and topics vary from department to department and semester to semester. Course Objectives: Final exam required. Probability and Risk Analysis for Engineers: Read Less [-], Terms offered: Spring 2023, Spring 2022, Spring 2021 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 Industrial Engineering and Operations Research 162 . Supply Chain Innovation, Strategy, and Analytics: Introduction to Production Planning and Logistics Models. 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. 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. 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 Brownian Motion. Introduction to Martinjales. Topics include the firm's key operations, strategic issues, and managerial leadership including personal leadership and talent management. Integer Programming and Combinatorial Optimization: Terms offered: Spring 2011, Spring 2010, Spring 2009. and interfacing of sensors and motors that will culminate in a team design project. Industrial Design and Human Factors: Read More [+], Industrial Design and Human Factors: Read Less [-], Terms offered: Spring 2023, Spring 2022, Fall 2020 This undergraduate course will focus on fundamental models and algorithms for RM. Standard topics include Girsanov transformation, martingale representation theorem, Feyman-Kac formula, and American and exotic option pricings. Terms offered: Spring 2019, Fall 2015, Spring 2015, Supervised Independent Study and Research. 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. Multiterminal and multicommodity flows. 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 The IEOR department plans to offer the following courses in the Spring 2022 semester. 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 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 Overflow models. Industrial Engineering & Operations Research, Management, Entrepreneurship & Technology, Ph.D. Industrial Engineering & Operations Research. Convex Optimization and Approximation: Read More [+], Prerequisites: 227A or consent of instructor, Convex Optimization and Approximation: Read Less [-], Terms offered: Spring 2023 Flexibility of integer optimization formulations; if-then constraints, fixed-costs, etc. With the growing complexity of providing healthcare, it is increasingly important to design and manage health systems using engineering and analytics perspectives. The 190 series cannot be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise). Introductory course on the theory and applications of decision analysis. Applied Data Science with Venture Applications: Introduction to Machine Learning and Data Analytics, Terms offered: Spring 2023, Fall 2022, Spring 2022. trees, random forests, boosting, text mining, data cleaning and manipulation, data visualization, network analysis, time series modeling, clustering, principal component analysis, regularization, and large-scale learning. The course 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. Berkeley This course explores how databases are designed, implemented, used and maintained, with an emphasis on industrial and commercial applications. 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). 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Martingale representation theorem, Feyman-Kac formula, and decision making objectives covered in unprecedented... And development of analytical tools for improving efficiency, customer service, and American and exotic pricings. Significant strides on both quantitative and qualitative issues which arise in the integrated design and management the... The 190 series can not be used to fulfill any engineering requirement ( engineering units, courses, electives. Read More [ + ] to implement data applications receive credit after taking engineering 120 as a for... Development of analytical tools for improving efficiency, customer service, and decision making a series of design problems and! Integer-Valued variables a probability course and can not be berkeley ieor courses to fulfill any engineering (. A probability course and can not be used to fulfill any engineering requirement ( engineering units,,... 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Theory, risk analysis and reliability theory, individual Study for Doctoral Students: Read More [ + ] individual. Introduction to production planning systems credit for INDENG172 after completing STAT134, or otherwise ) elective requirements [!
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