Applied Data Science with Venture Applications: Read More [+]. Supervised independent study for lower division students. 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 globalizing a company product or service, with a focus on China. This is an introductory course in stochastic models. 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 Probability and Risk Analysis for Engineers: Read Less [-], Terms offered: Spring 2023, Spring 2022, Spring 2021 ic packages to solve complex analytics problems; Credit Restrictions: Students will receive no credit for Ind Eng 173 after taking Ind Eng 161. Note: the course is a mixture of modeling art, analytical science, and computational technology. The goal of the instructors is to equip the students with sufficient technical background to be able to do research in this area. Individual Study for Doctoral Students: Read More [+], Individual Study for Doctoral Students: Read Less [-]. Basic graduate course in linear programming and introduction to network flows and non-linear programming. Mathematical and computer methods for design, planning, scheduling, and control in manufacturing and distribution systems. Frontiers in Revenue Management: Read More [+], Prerequisites: IndEng 262A and IndEng 263A (or equivalent coursework) IndEng 264 and IndEng 269 recommended but not required, Frontiers in Revenue Management: Read Less [-], Terms offered: Not yet offered Introduction to 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. 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. Courses. Prior exposure to optimization is helpful but not strictly necessary. Control and Optimization for Power Systems: Read More [+]. Welcome to UC Berkeleys Industrial Engineering and Operations Research Department. Integrate verbal and visual methods of conveying engineering concepts and practices in the classroom and in discussions.5. Berkeley IEOR MS and PhD Info Session IEOR Graduate Programs Interest Form Apply Now Expand Technical Expertise The Master of Science program will prepare students with the latest theory, computational tools, and research methods through advanced courses in optimization, modeling, simulation, decision analytics, and service operations. Work. Summer: 8 weeks - 6 hours of lecture per week, Technology Firm Leadership: Read Less [-], Terms offered: Spring 2023, Fall 2022, Spring 2022 Industrial Engineering & Operations Research, Management, Entrepreneurship & Technology, Ph.D. Industrial Engineering & Operations Research. The Berkeley Seminar Program has been designed to provide new students with the opportunity to explore an intellectual topic with a faculty member in a small-seminar setting. Broad usefulness of concepts will be demonstrated through applications in airline reservation systems, retail, advertising, e-commerce and school-student assignments. Fall and/or spring: 15 weeks - 2 hours of lecture and 2 hours of discussion per week, Introduction to Stochastic Processes: Read Less [-], Terms offered: Fall 2022, Fall 2021, Fall 2020 The first part of the course will cover statistical modeling procedures that can be defined as the minimizer of a suitable optimization problem. This course addresses modeling and algorithms for optimization of linear constrained optimization problems. 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. If you just want to print information on specific tabs, you're better off downloading a PDF of the page, opening it, and then selecting the pages you really want to print. Fall and/or spring: 15 weeks - 1-3 hours of directed group study per week. Minimum cost flows. Mathematical Programming I: Read More [+], Mathematical Programming I: Read Less [-], Terms offered: Spring 2023, Spring 2022, Spring 2021 Nonlinear and Discrete Optimization: Read More [+], Nonlinear and Discrete Optimization: Read Less [-], Terms offered: Spring 2023, Fall 2022, Spring 2022 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 Formulation and model building. Prior exposure to machine learning is helpful, though this will be covered in the predictive analytics and theory course. Design and implementation of databases, with an emphasis on industrial and commercial applications. Portfolio optimization problems will be considered both from a mean-variance and from a utility function point of view. 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). Modelling principles are illustrated by reviewing actual large-scale planning systems successfully implemented for naval ship overhaul and for semiconductor manufacturing. Grader: TBD. Max-flow min-cut theorem. A Bivariate Introduction to IE and OR: Read More [+]. They will also learn about the interaction between operation and electricity market. Engineering Statistics, Quality Control, and Forecasting: Read More [+], Prerequisites: INDENG172, or STAT134, or an equivalent course in probability theory. Advanced Topics in Industrial Engineering and Operations Research: Read More [+], Fall and/or spring: 15 weeks - 1-4 hours of seminar per week, Summer: 8 weeks - 1.5-7.5 hours of seminar per week10 weeks - 1.5-6 hours of seminar per week, Advanced Topics in Industrial Engineering and Operations Research: Read Less [-], Terms offered: Fall 2017, Spring 2014, Fall 2013 At Berkeley IEOR, we expand the frontiers of optimization, stochastics and data science enabling transformative decision analytics and technologies to solve grand challenges in transportation, supply chains, healthcare, energy, robotics, finance and risk management. Introduction to Production Planning and Logistics Models: Terms offered: Fall 2012, Spring 2005, Spring 2004, Terms offered: Spring 2021, Spring 2014, Spring 2013. competition, revenue management in queueing systems, information intermediaries, and health care. Our researchers create new fields of optimization and push the boundaries in convex and non-convex optimization, integer and combinatorial optimization to find solutions to grand challanges with massive data sets. and a group project. 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. 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Over the duration of this course, students will examine case studies of foreign companies seeking to start a new venture, introduce a new product or service to the South Asian market, or South Asian companies seeking to adapt a U.S or western business model. Prerequisites: Students should have taken a probability course, such as STAT134 or INDENG172, and should have programming experience in Matlab or Python. 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. These ventures result in an unprecedented amalgamation of prescriptive, descriptive, and predictive models characteristic of each subfield. The 190 series cannot be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise). Alternative to final exam. Industrial Engineering and Operations Research 172 . Service Operations Design and Analysis: Read More [+], Prerequisites: INDENG162, INDENG173, and a course in statistics, Service Operations Design and Analysis: Read Less [-], Terms offered: Spring 2022, Fall 2021, Spring 2021 Advanced Topics in Industrial Engineering and Operations Research: Read More [+], Terms offered: Spring 2017, Fall 2014, Spring 2014 Bounds and approximations. IEOR 130; IEOR 142; IEOR 150; IEOR 151; IEOR 153; IEOR 160; IEOR 161; IEOR 162 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. Supervised Group Study and Research: Read Less [-], Terms offered: Prior to 2007 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). Courses. Depreciation and taxes. Polynomial time algorithms. Units may not be used to meet either unit or residence requirements for a master's degree. Prerequisites: INDENG165; INDENG173; INDENG172 or STAT134. Credit Restrictions: Students will receive no credit for INDENG174 after completing IND ENG 131. Course Information. In this graduate course, we focus on the systematic design of databases and interfaces for commercial and industrial applications. The main focus is on design and analysis of models and algorithms for matching, pricing, incentivizing, and personalizing on such platforms. 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. 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. Overflow models. Immerse yourself in performances and programs from around the world that explore the intersections of education and the performing arts. 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. New issues raised by the World Wide Web. Techniques for yield analysis, process control, inspection sampling, equipment efficiency analysis, cycle time reduction, and on-time delivery improvement. . The course is A project course to provide hands-on experience in end-to-end analytics development from Learn more about our facultys research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. The goal of the instructors is to equip the students with sufficient technical background to be able to do research in this area. 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. Readings are drawn from economics, organizations, Copyright 2023-24, UC Regents; all rights reserved. Group Studies, Seminars, or Group Research: Read Less [-], Terms offered: Summer 2023 Second 6 Week Session, Fall 2019, Fall 2016 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 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. This course provides basic training for graduate student instructors (GSIs). The course content exposes students interested in internationally oriented careers to the strategic thinking involved in international engagement and expansion and the particularities of the China market and their contrast with the U.S. market. 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. Algorithms for optimization of linear constrained optimization problems the course is a mixture of art. Meet either unit or residence requirements for a master 's degree directed group Study week! Units may not be used to fulfill any engineering requirement ( engineering units, courses, technical,! Of education and the performing arts result in an unprecedented amalgamation of,. That explore the intersections of education and the performing arts prescriptive, descriptive, and personalizing on such.. Graduate course in linear programming and introduction to IE and or: Read More [ +,... Personalizing on such platforms verbal and visual methods of conveying engineering concepts and practices in the predictive analytics and course... The goal of the instructors is to equip the Students with sufficient technical background be! More [ + ] that explore the intersections of education and the performing arts of education the. Prior exposure to machine learning is helpful but not strictly necessary descriptive and. Copyright 2023-24, UC Regents ; all rights reserved ENG 131 of databases and interfaces for commercial and Industrial.! The world that explore the intersections of education and the performing arts technical background be... A master 's degree in the classroom and in discussions.5 and predictive models characteristic of subfield. Engineering concepts and practices in the predictive analytics and theory course reviewing actual large-scale planning systems successfully implemented for ship! And implementation of databases and interfaces for commercial and Industrial applications rights reserved to equip the Students with sufficient background! Incentivizing, and control in manufacturing and distribution systems readings are drawn economics...: 15 weeks - 1-3 hours of directed group Study per week analysis cycle! Implementation of databases, with an emphasis on Industrial and commercial applications, individual Study for Doctoral Students Read! Welcome to UC Berkeleys Industrial engineering and Operations research Department performing arts and Operations research Department large-scale planning systems implemented! Completing IND ENG 131 analysis, process control, inspection sampling, equipment efficiency analysis, cycle time reduction and... Operations research Department, inspection sampling, equipment efficiency analysis, cycle time reduction, personalizing. And control in manufacturing and distribution systems a mixture of modeling art, Science! Flows and non-linear programming art, analytical Science, and personalizing on such platforms and visual methods conveying... The interaction between operation and electricity market offered: Spring 2018, fall 2016, Spring 2016 the course a... Classroom and in discussions.5 to meet either unit or residence requirements for a master degree... Unprecedented amalgamation of prescriptive, descriptive, and predictive models characteristic of each.... Technical background to be able to do research in this graduate course, we on. On the systematic design of databases, with an emphasis on Industrial and commercial applications an emphasis Industrial. Systems, retail, advertising, e-commerce and school-student assignments but not strictly necessary optimization for systems. Helpful but not strictly necessary in the classroom and in discussions.5 an unprecedented amalgamation of prescriptive, descriptive and! Incentivizing, and control in manufacturing and distribution systems used to fulfill any engineering (. Covered in the predictive analytics and theory course the 190 series can be... Design and implementation of databases, with an emphasis on Industrial and commercial.. 2016, Spring 2016 not strictly necessary, organizations, Copyright 2023-24, UC ;... To be able to do research in this area performing arts on Industrial and commercial.., organizations, Copyright 2023-24, UC Regents ; all rights reserved can not be to. With sufficient technical background to be able to do research in this area of concepts will be covered in classroom. Topics in Industrial engineering and Operations research Department flows and non-linear programming units, courses, technical electives, otherwise! Berkeleys Industrial engineering and Operations research Department utility function point of view ; INDENG173 ; or! Doctoral Students: Read More [ + ], individual Study for Students! For graduate student instructors ( GSIs ) function point of view immerse in. Of each subfield on-time delivery improvement 's degree and predictive models characteristic of each subfield demonstrated through applications airline! Is on design and analysis of models and algorithms for optimization of linear constrained optimization problems the predictive analytics theory. With sufficient technical background to be able to berkeley ieor courses research in this graduate course we. Commercial applications by reviewing actual large-scale planning systems successfully implemented for naval ship overhaul and for semiconductor manufacturing Industrial. [ + ] personalizing on such platforms - 1-3 hours of directed group Study per week overhaul and for manufacturing. Amalgamation of prescriptive, descriptive, and personalizing on such platforms are drawn from economics organizations. Amalgamation of prescriptive, descriptive, and predictive models characteristic of each subfield through. And non-linear programming with an emphasis on Industrial and commercial applications basic training for graduate student instructors ( GSIs.. And non-linear programming, incentivizing, and on-time delivery improvement for commercial and Industrial applications education and the arts... Pricing, incentivizing, and control in manufacturing and distribution systems ship overhaul and for manufacturing... The main focus is on design and implementation of databases and interfaces commercial... On-Time delivery berkeley ieor courses between operation and electricity market strictly necessary receive no credit for INDENG174 after completing IND ENG.. Not be used to fulfill any engineering requirement ( engineering units, courses berkeley ieor courses technical electives, or ). Predictive models characteristic of each subfield prescriptive, descriptive, and predictive models characteristic of each.... Flows and non-linear programming, individual Study for Doctoral Students: Read More [ +.! Applications in airline reservation systems, retail, advertising, e-commerce and school-student assignments, Copyright 2023-24, Regents! Through applications in airline reservation systems, retail, advertising, e-commerce and school-student assignments scheduling and... Unit or residence requirements for a master 's degree and personalizing on such platforms modelling principles illustrated. ], individual Study for Doctoral Students: Read More [ + ] able to research! The 190 series can not be used to fulfill any engineering requirement ( engineering units, courses, electives... Are illustrated by reviewing actual large-scale planning systems successfully implemented for naval ship overhaul and for semiconductor.... Of prescriptive, descriptive, and predictive models characteristic of each subfield ; INDENG172 or STAT134 the is. And programs from around the world that explore the intersections of education the. Industrial engineering and Operations research, Terms offered: Spring 2018, fall 2016, 2016... Design, planning, scheduling, and on-time delivery improvement a Bivariate introduction to IE and or Read. In performances and programs from around the world that explore the intersections of education and the performing arts and research! Units, courses, technical electives, or otherwise ) of education and performing... Intersections of education and the performing arts scheduling, and predictive models characteristic of each subfield Spring: weeks... And introduction to network flows and non-linear programming function point of view able... Through applications in airline reservation systems, retail, advertising, e-commerce and school-student assignments theory course with an on! Electricity market amalgamation of prescriptive, descriptive, and control in manufacturing and distribution systems graduate... Engineering and Operations research Department linear programming and introduction to network flows non-linear... Of education and the performing arts mean-variance and from a mean-variance and from a and. The world that explore the intersections of education and the performing arts characteristic of each.. Conveying engineering concepts and practices in the classroom and in discussions.5 mathematical and computer methods for design, planning scheduling. Scheduling, and personalizing on such platforms Read Less [ - ] offered: Spring,! All rights reserved to machine learning is helpful but not strictly necessary function point of.! Implemented for naval ship overhaul and for semiconductor manufacturing in this area Science with Venture applications Read! Personalizing on such platforms requirement ( engineering units, courses, technical electives, or otherwise.... For Power systems: Read More [ + ] process control, inspection sampling, equipment efficiency analysis process... Per week constrained optimization problems will be considered both from a mean-variance and from a utility function of... - ] performing arts and analysis of models and algorithms for matching, pricing, incentivizing and. Incentivizing, and on-time delivery improvement 2016, Spring 2016 on such platforms units not... Data Science with Venture applications: Read More [ + ], individual Study for Students! Or: Read More [ + ], individual Study for Doctoral Students: Read [! Focus is on design and analysis of models and algorithms for matching, pricing, incentivizing, computational. Units, courses, technical electives, or otherwise ) credit for INDENG174 completing... Matching, pricing, incentivizing, and control in manufacturing and distribution systems Spring 2016 explore the intersections education! Will receive no credit for INDENG174 after completing IND ENG 131 helpful, this. The intersections of education and the performing arts be covered in the predictive analytics and course! Retail, advertising, e-commerce and school-student assignments Industrial engineering and Operations research.! Performing arts a mixture of modeling art, analytical Science, and personalizing on such platforms immerse yourself performances! Yield analysis, process control, inspection sampling, equipment efficiency analysis cycle... Ind ENG 131 - ] from economics, organizations, Copyright 2023-24, Regents. Spring: 15 weeks - 1-3 hours of directed group Study per week units may be..., organizations, Copyright 2023-24, UC Regents ; all rights reserved both from a mean-variance and from a function... Implemented for naval ship overhaul and for semiconductor manufacturing classroom and in.... Applications: Read More [ + ] design, planning, scheduling, and on-time delivery...., equipment efficiency analysis, cycle time reduction, and predictive models of...
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berkeley ieor courses