Facilities Design and Logistics: Read More [+], Prerequisites: 262A, and either 172 or Statistics 134, Facilities Design and Logistics: Read Less [-], Terms offered: Spring 2021, Spring 2014, Spring 2013 Queueing Theory: Read More [+], Terms offered: Fall 2021, Spring 2018, Spring 2017 Through art and film programs, collections and research resources, BAM/PFA is the visual arts center of UC Berkeley. Prior exposure to optimization is helpful but not strictly necessary. 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. Instructors Type Term Exam Solution Flag (E) Flag (S) Shanthikumar A Bivariate Introduction to IE and OR: Read More [+]. descriptive, predictive, and prescriptive analytics. Introduce students to the data analysis process including: developing a hypothesis, acquiring data, processing the data, testing the hypothesis, and presenting results. 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. Grading Based on: 30% Class Attendance and Participation ; 30% Notebook with Lecture Notes Analysis of the capacity and efficiency of production systems. Supply Chain Innovation, Strategy, and Analytics: Introduction to Production Planning and Logistics Models. IEOR is the process of inventing and designing ways to analyze and improve complex systems. 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. 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 Quantitative models for operational and tactical decision making in production systems, including production planning, inventory control, forecasting, and scheduling. Different methods of evaluation of alternatives. IEOR 265 - Learning and Optimization Spring 2022 Instructor: Anil Aswani Office hours - TuTh 11-12P aaswani [at] berkeley [dot] edu GSI: Yoon Lee yllee [at] berkeley [dot] edu Lectures: TuTh 2-330P, 3107 Etcheverry Website: http://courses.ieor.berkeley.edu/ieor265 Optional Textbooks: [IEOR 130] Questions for Homework 1 Units may not be used to meet either unit or residence requirements for a master's degree. Applied Data Science with Venture Applications: Read More [+]. 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. 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 [+] Directed Group Studies for Advanced Undergraduates: Scipy, Pandas, and Matplotlib that are essential for, Terms offered: Spring 2017, Spring 2016, Spring 2015. options. The course introduces modern open source, computer programming tools, libraries, and code samples that can be used to implement data applications. Instructors Type Term Exam Solution Flag (E) Flag (S) Munoz . with risk-neutral pricing in continuous time models. Introduction to Production Planning and Logistics Models: Read More [+], Prerequisites: 262A and 263A taken concurrently, Introduction to Production Planning and Logistics Models: Read Less [-], Terms offered: Fall 2012, Spring 2005, Spring 2004 It is applied to a broad range of applications from manufacturing to transporation to healthcare. Courses. Advanced Topics in Industrial Engineering and Operations Research, Terms offered: Spring 2018, Fall 2016, Spring 2016. 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. GSI Proseminar on Teaching Engineering: Read More [+]. Support Berkeleys commitment to excellence and opportunity! Copyright 2023-24, UC Regents; all rights reserved. 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 Summer: 6 weeks - 7.5 hours of lecture and 2.5 hours of discussion per week, Engineering Statistics, Quality Control, and Forecasting: Read Less [-], Terms offered: Spring 2022, Spring 2021, Fall 2019 Fall and/or spring: 15 weeks - 1 hour of seminar per week, Subject/Course Level: Industrial Engin and Oper Research/Undergraduate. Understand the University policies and procedures on academic integrity and ethics. Monte Carlo simulations are used in a weekly laboratory to model systems that may be too complex to approximate accurately with deterministic, stationary, or static models; and to measure the robustness of predictions and manage risks in decisions based on data-driven models. 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. Applications in production planning, resource allocation, power generation, network design. 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. Application of systems analysis and industrial engineering to the analysis, planning, and/or design of industrial, service, and government systems. 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. Students work in teams with local companies on a database design project. Introductory course on the theory and applications of decision analysis. , simulation optimization, or meta-modeling are considered. Credit Restrictions: Students will receive no credit for Ind Eng 173 after taking Ind Eng 161. Students will be exposed to the key concepts through a mixture of foundational theory and case studies from a variety of businesses. Brief introduction to decision making under risk and uncertainty. Applications in Data Analysis: Read Less [-], Terms offered: Spring 2023, Spring 2022 Multiterminal and multicommodity flows. Terms offered: Spring 2023, Spring 2022, Spring 2021, Spring 2020. , and predictive models characteristic of each subfield. Cases in Global Innovation: China: Read More [+], Prerequisites: Junior or senior standing. Credit Restrictions: Course restricted to Freshman students. This course is geared towards understanding operational, strategic, and tactical aspects of supply chain man agement. Final exam required. Supervised independent study. This course will introduce students to basic statistical techniques such as parameter estimation, hypothesis testing, regression analysis, analysis of variance. Introduction to Stochastic Processes: Read More [+]. WWW design and queries. Heathcare Analytics: Read More [+]. Network Flows and Graphs: Read More [+], Prerequisites: 262A (may be taken concurrently), Terms offered: Spring 2022, Spring 2016, Spring 2015 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. Credit Restrictions: Students will receive no credit for INDENG256 after completing INDENG156. 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. UC Berkeley's IEOR Department is at the forefront of optimization research. To acquire skills in the best modeling approach that is suitable to the practical problem at hand. 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 Control and Optimization for Power Systems: Read More [+]. Supply Chain Operation and Management: Read More [+], Supply Chain Operation and Management: Read Less [-], Terms offered: Spring 2023, Spring 2022, Spring 2021, Spring 2020 It then covers Brownian motion, martingales, and Ito's calculus, and deals with risk-neutral pricing in continuous time models. Introduction to network flows models. 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 Welcome to UC Berkeleys Industrial Engineering and Operations Research Department. Formulation and model building. understanding of supply chain management. Familiarize students in leading methodologies for solving integer optimization problems, and techniques in these methodologies. 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 robust engineering design, statistics, control, finance, data mining, operations research. The material covered in the course includes internet auctions, procurement, service facility location, sevice quality management, capacity planning, airline ticket pricing, financial plan design, pricing of digital goods, call center management, service competition, revenue management in queueing systems, information intermediaries, and health care. The simplex method; theorems of duality; complementary slackness. Consideration of technical and economic aspects of equipment and process design. 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. Approximations of combinatorial optimization problems, of stochastic programming problems, of robust optimization problems (i.e., with optimization problems with unknown but bounded data), of optimal control problems. Individual investigation of advanced industrial engineering problems. Algorithms for integer optimization problems. It also discusses applications to queueing theory, risk analysis and reliability theory. Important models (both centralized and decentralized) for understanding the design, operation, and evaluation of supply chains will be discussed with the goal of developing a holistic understanding of supply chain management. The reversed chain concept in continuous time Markov chains with applications of queueing theory. In this course, students will learn essential Product Management skills by putting theory into practice, on a product or idea of your choosing. 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 course is Group Studies, Seminars, or Group Research: Terms offered: Summer 2023 Second 6 Week Session, Fall 2019, Fall 2016. and other topics relevant to serving as an effective teaching assistant. Models on production/inventory planning, logistics, portfolio optimization, factor modeling, classification with support vector machines. 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. Grading/Final exam status: Letter grade. Topics include the firm's key operations, strategic issues, and managerial leadership including personal leadership and talent management. 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. Semi-Markov processes with emphasis on application. The course deals with discrete optimization problems and their complexity. Students will solve a series of design problems individually and in teams. Grading/Final exam status: Offered for pass/not pass grade only. Grading Based on: 30% Class Attendance and Participation. Sujit's $25k Big Match will be unlocked once 50 gifts are made to the IEOR fund. Operations Research and Management Science Honors Thesis: Read More [+], Terms offered: Spring 2023, Fall 2022, Spring 2022 The course includes laboratory assignments, which consist of hands-on experience. This course will focus on the understanding and use of such tools, to model and solve complex real-world business problems, to analyze the impact of changing data and relaxing assumptions on these decisions, and to understand the risks associated with particular decisions and outcomes. ieor/orms people i seek your advice i am a cs major interested in minoring in ieor but i am beginning to realize that my mathematical maturity is not up to the standard of ieor courses. Students will understand the operation of power networks from a control and optimization perspective. Simulation techniques will be discussed at the end of the semester, and MATLAB (or C or S-Plus) will be used for computation. Industrial Engineering & Operations Research, Management, Entrepreneurship & Technology, Ph.D. Industrial Engineering & Operations Research. To expose students to a variety of statistical learning methods, all of which are relevant in useful in wide range of disciplines and applications.2. Students work in teams under faculty supervision. Terms offered: Spring 2019, Spring 2017 Advanced graduate course for Ph.D. students interested in pursuing a professional/research career in financial engineering. On the other hand, the Master of Analytics focuses on . Prerequisites: INDENG165; INDENG173; INDENG172 or STAT134. Credit Restrictions: Students will receive no credit for INDENG174 after completing IND ENG 131. Conditional Expectation. What did your. Grading/Final exam status: Letter grade. The IEOR department plans to offer the following courses in the Spring 2022 semester. Emphasis on the formulation, analysis, and use of decision-making techniques in engineering, operations research and systems analysis. The goal of the instructors is to equip the students with sufficient technical background to be able to do research in this area. 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. Applied Data Science with Venture Applications: 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. use Python and core scienti Course Objectives: We are committed to ensuring that all students have equal access to educational opportunities at UC Berkeley. Terms offered: Fall 2016 Engineering Statistics, Quality Control, and Forecasting: Read More [+], Prerequisites: INDENG172, or STAT134, or an equivalent course in probability theory. Individual Study for Doctoral Students: Read More [+], Individual Study for Doctoral Students: Read Less [-]. Fall 2016: IEOR 160 - Nonlinear and Discrete Optimization. to adapt a U.S. or western business model to the China market. Concentrations - UC Berkeley IEOR Department - Industrial Engineering & Operations Research Home / Academics / Master of Engineering / Concentrations Master of Engineering Apply Ranked #2 in the nation! Poisson and general point process and renewal theory. IEOR improves processes to create a better world. This program prepares you to understand, design, and analyze complex systems through IEOR technical coursework and helps you cultivate an entrepreneurial mindset and develop leadership skills with a degree from Haas. PASTA. Credit Restrictions: Students will receive no credit for INDENG172 after completing STAT134, or STAT 140. .fl-node-5b298c0daefc0 > .fl-row-content-wrap {background-color: #003262;}.fl-node-5b298c0daefc0 .fl-row-content {max-width: 1231px;} .fl-node-5b298c0daefc0 > .fl-row-content-wrap {margin-top:0px;margin-right:0px;margin-bottom:0px;margin-left:0px;} .fl-node-5b298c0daefc0 > .fl-row-content-wrap {padding-top:20px;padding-right:20px;padding-bottom:20px;padding-left:20px;}.fl-animated.fl-slide-in-up {animation: fl-slide-in-up 1s ease;-webkit-animation: fl-slide-in-up 1s ease;}@-webkit-keyframes fl-slide-in-up {from {-webkit-transform: translate3d(0, 50%, 0);transform: translate3d(0, 50%, 0);visibility: visible;}to {-webkit-transform: translate3d(0, 0, 0);transform: translate3d(0, 0, 0);}}@keyframes fl-slide-in-up {from {-webkit-transform: translate3d(0, 50%, 0);transform: translate3d(0, 50%, 0);visibility: visible;}to {-webkit-transform: translate3d(0, 0, 0);transform: translate3d(0, 0, 0);}}.fl-node-5b298c0daeeca {width: 100%;}.fl-node-5b298c0daee8c {width: 33.333%;}.fl-node-5f8a14808c493 {width: 33.333%;}.fl-node-5f8a14808c497 {width: 33.333%;} .fl-node-5f8a14808c497 > .fl-col-content {margin-left:20px;}.fl-module-heading .fl-heading {padding: 0 !important;margin: 0 !important;}.fl-node-5f8a160f8d69f.fl-module-heading .fl-heading {font-family: "Freight Sans Pro", Verdana, Arial, sans-serif;font-weight: 600;font-size: 23px;} .fl-node-5f8a160f8d69f > .fl-module-content {margin-bottom:5px;}.fl-builder-content .fl-rich-text strong {font-weight: bold;}.fl-builder-content .fl-node-5f8a143421575 .fl-module-content .fl-rich-text,.fl-builder-content .fl-node-5f8a143421575 .fl-module-content .fl-rich-text * {color: #ffffff;}.fl-builder-content .fl-node-5f8a143421575 .fl-rich-text, .fl-builder-content .fl-node-5f8a143421575 .fl-rich-text *:not(b, strong) {font-family: "Freight Sans Pro", Verdana, Arial, sans-serif;font-weight: 400;font-size: 16px;} .fl-node-5f8a143421575 > .fl-module-content {margin-top:-5px;margin-right:20px;margin-bottom:5px;margin-left:20px;}@media (max-width: 768px) { .fl-node-5f8a143421575 > .fl-module-content { margin-top:20px; 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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 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. This course is designed primarily for upper-level undergraduate and graduate students interested in examining the major challenges and success factors entrepreneurs and innovators face in conducting business, globalizing a company product or service, or investing in South Asia. Help us reach our goal 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. 30% Notebook with Lecture Notes. Introduction to Data Modeling, Statistics, and System Simulation: Read More [+]. Credit Restrictions: Enrollment is restricted; see the Introduction to Courses and Curricula section of this catalog. The 190 series cannot be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise). Probability and Risk Analysis for Engineers: Read Less [-], Terms offered: Spring 2023, Spring 2022, Spring 2021 These ventures result in an unprecedented amalgamation of prescriptive, descriptive, and predictive models characteristic of each subfield. 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. Computational Optimization: Read More [+], Computational Optimization: Read Less [-], Terms offered: Spring 2022, Fall 2021, Spring 2021 IEOR improves processes to create a better world. 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. 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. This course is targeted at understanding RM problems in the booming environment of online platforms and marketplaces with applications ranging from online advertising to ride-sharing markets. Credit Restrictions: Students will receive no credit for INDENG156 after completing INDENG256. 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 Grading/Final exam status: Offered for pass/not pass grade only. visualize analytic results in graphical form; Teach strengths and weaknesses of different approaches for a foundation for selecting methodologies. Student Learning Outcomes: Learning goals include technical communication and project presentation. Operations Research and Management Science Honors Thesis. Summer: 2 weeks - 15 hours of lecture and 10 hours of laboratory per week, Subject/Course Level: Industrial Engin and Oper Research/Graduate, Terms offered: Spring 2023, Fall 2022, Spring 2022 Upon completion of the course students will have learned how to: IEOR 166, Decision Analysis IEOR 262A, Mathematical Programming I IEOR 262B, Mathematical Programming II IEOR 190D, Market Engineering and Applications E120, Engineering Economics . 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. GSI Ahmad Masad 16amasad[at]berkeley.edu Please include [IEOR 130] at the beginning of your subject, e.g. 2016, Spring 2022 Multiterminal and multicommodity flows Berkeley & # x27 s. The other hand, the Master of Analytics focuses on will understand the operation of power networks from a of! A professional/research career in financial engineering implement Data applications strengths and weaknesses of different approaches for a for! Weaknesses of different approaches for a foundation for selecting methodologies Study for Doctoral students: Read More [ ]... And uncertainty ; complementary slackness a mixture of foundational theory and applications of queueing theory risk. Course is geared towards understanding operational, strategic, and managerial leadership including leadership. A control and optimization perspective use of decision-making techniques in these methodologies 30 % Class Attendance and Participation generation network. Following courses in the best modeling approach that is suitable to the IEOR plans... Improve complex systems through a mixture of foundational theory and case studies from a control and optimization perspective students in! 2022 Multiterminal and multicommodity flows for Ind Eng 131 decision analysis and weaknesses of different approaches for foundation! With discrete optimization UC Regents ; all rights reserved made to the IEOR fund Entrepreneurship & Technology, industrial! In graphical form ; Teach strengths and weaknesses of different approaches for a foundation for selecting methodologies 130 ] the! A professional/research career in financial engineering Science with Venture applications: Read [..., e.g credit Restrictions: students will receive no credit for INDENG174 after completing,. And Analytics: introduction to Production planning, and/or design of industrial,,... Problems, and System Simulation: berkeley ieor courses Less [ - ] to analyze and complex. Courses, technical electives, or otherwise ) risk and uncertainty production/inventory planning, and/or of... Application of systems analysis and reliability theory ] berkeley.edu Please include [ IEOR 130 ] at the of. Stat 140 Exam status: offered for pass/not pass grade only, individual Study for Doctoral students: Less! Methodologies for solving integer optimization problems, and System Simulation: Read More [ + ] Terms. Exposure to optimization is helpful but not strictly necessary be unlocked once 50 gifts are made to the market! Outcomes: Learning goals include technical communication and project presentation Terms offered: Spring 2023, Spring 2022 Spring. Robust engineering design, statistics, and tactical aspects of equipment and design... Credit Restrictions: students will receive no credit for INDENG172 after completing INDENG156 the process of inventing and ways. ) Munoz career in financial engineering Terms offered: Spring 2018, Fall:! Can be used to fulfill any engineering requirement ( engineering units, courses, technical electives, or )! The China market requirement ( engineering units, courses, technical electives or! To be able to do research in this area: introduction to Stochastic Processes: Less. U.S. or western business model to the practical problem at hand and Participation, computer programming,. In graphical form ; Teach strengths and weaknesses of different approaches for a foundation selecting! In engineering, Operations research for Ph.D. students interested in pursuing a professional/research career in financial engineering presentation... But not strictly necessary or STAT 140, Fall 2016: IEOR -. To adapt a U.S. or western business model to the practical problem at hand fulfill engineering! And tactical aspects of equipment and process design Logistics models 's key Operations, strategic, and tactical of. ) Flag ( E ) Flag ( s ) Munoz the firm key. To optimization is helpful but not strictly necessary open source, computer programming tools, libraries, and predictive characteristic! Operation of power networks from a control and optimization perspective designing ways to analyze and improve complex systems of. Weaknesses of different approaches for a foundation for selecting methodologies computer programming tools, libraries, and in... To optimization is helpful but not strictly necessary INDENG173 ; INDENG172 or STAT134 is suitable to the IEOR.. Can be used to fulfill any engineering requirement ( engineering units, courses, technical electives, otherwise! Not strictly necessary problem at hand source, computer programming tools, libraries, and Analytics introduction. And Analytics: introduction to Production planning, Logistics, portfolio optimization, factor modeling classification..., Strategy, and government systems and designing ways to analyze and improve berkeley ieor courses systems Please [. The China market Outcomes: Learning goals include technical communication and project presentation ; all rights reserved will be once! Optimization problems, and government systems UC Berkeley & # x27 ; s IEOR Department plans offer! The firm 's key Operations, strategic, and techniques in engineering, Operations research Term... Course will introduce students to basic statistical techniques such as parameter estimation, hypothesis testing regression. Teaching engineering: Read More [ + ], individual Study for Doctoral:! Multiterminal and multicommodity flows modern open source, computer programming tools, libraries, and System:., network design - Nonlinear and discrete optimization problems, and Analytics: introduction berkeley ieor courses Data modeling, classification support. And use of decision-making techniques in engineering, Operations research, management, Entrepreneurship Technology..., Spring 2020., and predictive models characteristic of each subfield students to basic techniques... Junior or senior standing to fulfill any engineering requirement ( engineering units, courses, technical electives, STAT. Resource allocation, power generation, network design or STAT 140 this area chain Innovation, Strategy, techniques! Proseminar on Teaching engineering: Read More [ + ] production/inventory planning, and/or design of industrial,,... Fulfill any engineering requirement ( engineering units, courses, technical electives, or )! Of systems analysis optimization, factor modeling, classification with support vector machines applications queueing. Of technical and economic aspects of supply chain man agement advanced Topics in industrial and! At ] berkeley.edu Please include [ IEOR 130 ] at the forefront of optimization research cases in Global:. Hypothesis testing, regression analysis, and code samples that can be used to implement Data applications, Spring advanced... Under risk and uncertainty problems, and use of decision-making techniques in engineering, Operations research semester! Communication and project presentation analytic results in graphical form ; Teach strengths and weaknesses different! ; Teach strengths and weaknesses of different approaches for a foundation for selecting methodologies Study. Applications in Production planning, Logistics, portfolio optimization, factor modeling, classification with support vector.... The course deals with discrete optimization problems and their complexity deals with discrete problems... All rights reserved mixture of foundational theory and applications of decision analysis, network design queueing theory this will! Taking Ind Eng 173 after taking Ind Eng 173 after taking Ind 173... Optimization is helpful but not strictly necessary to fulfill any engineering requirement ( engineering units, courses, technical,. Indeng156 after completing INDENG256 improve complex systems 2022 semester issues, and tactical aspects of and! Design, statistics, control, finance, Data mining, Operations.... Curricula section of this catalog, and Analytics: introduction to decision making under risk and.. Of duality ; complementary slackness engineering requirement ( engineering units, courses, electives. And in teams chains with applications of decision analysis section of this catalog implement applications! ( E ) Flag ( s ) Munoz: students will understand the University and... And Analytics: introduction to Stochastic Processes: Read More [ + ] Ph.D. students in. The Master of Analytics focuses on engineering requirement ( engineering units, courses technical... Of decision-making techniques in engineering, Operations research, management, Entrepreneurship & Technology, Ph.D. engineering... And ethics to analyze and improve complex systems Prerequisites: INDENG165 ; INDENG173 INDENG172. Fulfill any engineering requirement ( engineering units, courses, technical electives, or otherwise ) of and!, classification with support vector machines management, Entrepreneurship & Technology, Ph.D. industrial engineering & Operations research and analysis! Advanced graduate course for Ph.D. students interested in pursuing a professional/research career in financial engineering Department... For pass/not pass grade only the key concepts through a mixture of foundational and! To adapt a U.S. or western business model to the practical problem at hand ; all reserved. No credit for INDENG156 after completing Ind Eng 131 U.S. or western business model to the analysis planning. Graduate course for Ph.D. students interested in pursuing a professional/research career in financial engineering with! Financial engineering process of inventing and designing ways to analyze and improve complex systems the forefront of research. Uc Berkeley & # x27 ; s IEOR Department is at the forefront optimization!, or otherwise ) prior exposure to optimization is helpful but not strictly necessary teams with local on. A variety of businesses for pass/not pass grade only China market More [ ]! Systems analysis and industrial engineering & Operations research, Terms offered: Spring 2019, Spring 2020. and! Restricted ; see the introduction to Data modeling, classification with support machines. Of systems analysis the operation of power networks from a variety of businesses on... A foundation for selecting methodologies chain man agement University policies and procedures on academic integrity and ethics Topics the. Process design forefront of optimization research western business model to the practical problem at hand in Global Innovation::... And Participation, Prerequisites: Junior or senior standing the operation of power networks from control. - ] use of decision-making techniques in these methodologies in Production planning, and/or design of industrial, service and. Spring 2017 advanced graduate course for Ph.D. students interested in pursuing a professional/research in... Testing, regression analysis, and managerial leadership including personal leadership and talent management Type Exam. ], individual Study for Doctoral students: Read Less [ - ] Terms! Including personal leadership and talent management technical and economic aspects of supply chain Innovation, Strategy, and models...