We recently sat down with MoonSoo Choi to discuss his time as an undergraduate student and his current role as Senior Manager of Data Science at Walmart. 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 Overflow models. 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. Please use this as a guide for planning purposes. Emphasis will be placed on both the use of computers and the theoretical analysis of models and algorithms. Prerequisites: INDENG165; INDENG173; INDENG172 or STAT134. Credit Restrictions: Students will receive no credit for INDENG174 after completing IND ENG 131. On the other hand, the Master of Analytics focuses on . Homeworks and Lab Quizzes: Hardcopies will be . Course does not satisfy unit or residence requirements for bachelor's degree. Describe different mathematical abstractions used in IEOR (e.g., graphs, queues, Markov chains), and how to use these abstractions to model real-world problems. Applied Data Science with Venture Applications: Read More [+]. Three hours of lecture per week. 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 Enrollment restrictions apply. Tau Beta Pi Engineering Honor Society, California Alpha Chapter Development of analytical tools for improving efficiency, customer service, and profitability of production environments. Models on production/inventory planning, logistics, portfolio optimization, factor modeling, classification with support vector machines. Course Objectives: Students will learn how to model random phenomena and learn about a variety of areas where it is important to estimate the likelihood of uncertain events. Supply chain analysis is the study of quantitative models that characterize various economic trade-offs in the supply chain. IEOR is the process of inventing and designing ways to analyze and improve complex systems. 4189 Etcheverry Hall. Dynamic Production Theory and Planning Models: Read More [+], Dynamic Production Theory and Planning Models: Read Less [-], Terms offered: Spring 2017, Spring 2014, Spring 2011 Applications will be given in such areas as reliability theory, risk theory, inventory theory, financial models, and computer science, among others. 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 Prior exposure to machine learning is helpful, though this will be covered in the predictive analytics and theory course. They will also manage hypothetical portfolios throughout the course. Explore the Arts Research Center at UC Berkeley a think tank for the arts and a genuinely interdisciplinary space. Special techniques for experimenting with computer simulations and analyzing the results will be used to understand the trade-offs in risk and performance in the presence of uncertainty. Insure students become familiar with the fundamental similarities and differences among simulation software packages. Special Topics in Industrial Engineering and Operation Research. Introduction to Convex Optimization: Read More [+], Fall and/or spring: 15 weeks - 3 hours of lecture, 1 hour of discussion, and 2 hours of laboratory per week, Formerly known as: Electrical Engineering C227A/Industrial Engin and Oper Research C227A, Introduction to Convex Optimization: Read Less [-], Terms offered: Spring 2022, Spring 2021, Spring 2020, Spring 2019, Spring 2018, Spring 2017 Applications in forecasting and quality control. This course is ideal for students who have taken COMPSCIC8 / DATAC8 / INFOC8 / STATC8. 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. Grading/Final exam status: Offered for pass/not pass grade only. Supervised independent study for lower division students. The 190 series cannot be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise). 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 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. With the growing complexity of providing healthcare, it is increasingly important to design and manage health systems using engineering and analytics perspectives. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. 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 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. 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. Instructor Professor Robert C. Leachman 510-517-6113 leachman[at]ieor.berkeley.edu Office hours: MWF 11:00-12:00pm Online via Zoom . 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. Systems Analysis and Design Project: Read More [+], Systems Analysis and Design Project: Read Less [-], Terms offered: Prior to 2007 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 Service Operations Management: Read More [+], Prerequisites: Students who have not advanced to M.S., M.S./Ph.D., or Ph.D. levels or are not in the Industrial Engineering and Operations Research Department must consult with the instructor before taking this course for credit, Service Operations Management: Read Less [-], Terms offered: Spring 2013, Spring 2012, Spring 2011 Instructors Type Term Exam Solution Flag (E) Flag (S) Munoz Innovations that we will discuss include collaborative forecasting, social media, online procurement, and technologies such as RFID. Berkeley Seminars are offered in all campus departments, and topics vary from department to department and semester to semester. Modeling with integer variables; branch-and-bound method; cutting planes. Course Objectives: The main goal is to develop proficiency in common optimization modeling languages, and learn how to integrate them with underlying optimization solvers. 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. Individual Study or Research: Read More [+], Fall and/or spring: 15 weeks - 3-36 hours of independent study per week, Summer: 6 weeks - 7.5-40 hours of independent study per week8 weeks - 6-40 hours of independent study per week10 weeks - 4.5-40 hours of independent study per week. Search Courses. Exams. 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. Discrete and continuous time Markov chains; with applications to various stochastic systems--such as queueing systems, inventory models and reliability systems. About a third of the course will be devoted to system modeling, with the remaining two-thirds concentrating on simulation experimental design and analysis. 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. Grading/Final exam status: Letter grade. Survey of solution techniques and problems that have formulations in terms of flows in networks. The course includes laboratory assignments, which consist of hands-on experience. Alternate formulations for integer optimization: strength of Linear Programming relaxations. The course content exposes students interested in internationally oriented careers to the strategic thinking involved in international engagement and expansion. This introductory course provides students with sufficient background in Python programming language On the practical front, supply chain analysis offers solid foundations for strategic positioning, policy setting, and decision making. . Technology Firm Leadership: Read More [+]. To train students in modeling of integer optimization problems; 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. Endless discovery, industry engagement and exciting career opportunities. Introduce students to the data analysis process including: developing a hypothesis, acquiring data, processing the data, testing the hypothesis, and presenting results. With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. By discussing various applications in science and engineering, students will be able to model many real world problems where uncertainty plays an important role. This is an advanced project course in data science that offers a "maker" and/or "innovation" viewpoint. 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. 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. Operations Research and Management Science Honors Thesis: Read More [+], Terms offered: Spring 2023, Fall 2022, Spring 2022 Design and analysis of models and algorithms for facility location, vehicle routing, and facility layout problems. Analytical techniques for the improvement of manufacturing performance along the dimensions of productivity, quality, customer service, and throughput. Elementary queueing models; comparing single- and multiple-server queues. . Prerequisites: MATH53, MATH54, and background in Python and programming, Terms offered: Spring 2023, Spring 2022, Spring 2021 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 Probabilitybackgroundwith Industrial Engineering173 orequivalentisrecommended, Applied Stochastic Process I: Read Less [-], Terms offered: Spring 2023, Spring 2022, Spring 2021 Introduction to Stochastic Processes: Read More [+]. 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. 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 Prerequisites: This course is open to freshman and sophomore students from any department. Grading: The grading option will be decided by the instructor when the class is offered. We will focus primarily on both quantitative and qualitative issues which arise in the integrated design and management of the entire logistics network. Fall and/or spring: 15 weeks - 3 hours of independent study per week. We focus on the relational database model and learn the mathematics of structured queries. The field has made significant strides on both theoretical and practical fronts. The goal of the instructors is to equip the students with sufficient technical background to be able to do research in this area. 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. 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. Brief introduction to decision making under risk and uncertainty. To acquire skills in the best modeling approach that is suitable to the practical problem at hand. To introduce students to the core concepts of optimization 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. Cases in Global Innovation: Read More [+], Fall and/or spring: 8 weeks - 2 hours of lecture per week, Cases in Global Innovation: Read Less [-], Terms offered: Prior to 2007 Supply Chain Innovation, Strategy, and Analytics: Introduction to Production Planning and Logistics Models. This will be an introductory first-year graduate course covering fundamental models in production planning and logistics. We are committed to ensuring that all students have equal access to educational opportunities at UC Berkeley. Relational algebra, SQL, normalization. Financial Engineering Systems II: Read More [+], Prerequisites: 222 or equivalent; 173 or 263A or equivalent, Financial Engineering Systems II: Read Less [-], Terms offered: Spring 2019, Spring 2018 Berkeley, CA 94720-1702 (510) 642-7594 ess@berkeley.edu Hours: Monday - Thursday, 8 a.m.-5 p.m. Friday, 10 a.m.-5 p.m. 4141 Etcheverry Hall #1777 (510) 642-5484 ieor.berkeley.edu Degree worksheets: 2013 | 2014 | 2015 | 2016 | 2017 | 2018 Previous Undergraduate Programs: 2013 | 2014 | 2015 | 2016 | 2017 Prior exposure to optimization is helpful but not strictly necessary. 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 Grading Based on: 30% Class Attendance and Participation ; 30% Notebook with Lecture Notes When you print this page, you are actually printing everything within the tabs on the page you are on: this may include all the Related Courses and Faculty, in addition to the Requirements or Overview. 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. Fall 2016: IEOR 160 - Nonlinear and Discrete Optimization. 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. Design and implementation of databases, with an emphasis on industrial and commercial applications. Heathcare Analytics: Read More [+]. Fall 2017: IEOR 160 - Nonlinear and Discrete Optimization. Programming material includes the theory behind random variable generation for a variety of common variables. to adapt a U.S. or western business model to the China market. The course is focused around intensive study of actual business situations through rigorous case-study analysis. Operations Research & Management Science, B.S. The main focus is on design and analysis of models and algorithms for matching, pricing, incentivizing, and personalizing on such platforms. 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. A think tank for the improvement of manufacturing performance along the dimensions of productivity, quality customer... The relational database model and learn the mathematics of structured queries pricing, incentivizing, and throughput uncertainty... Rigorous case-study analysis 190 series can not be used to fulfill any engineering requirement ( units... The theoretical analysis of models and algorithms Berkeley IEOR specializes in stochastic processes, optimization, factor,., technical electives, or otherwise ) this as a guide for planning purposes actual! And/Or `` innovation '' viewpoint pricing, incentivizing, and personalizing on platforms... [ + ] to system modeling, with the remaining two-thirds concentrating on simulation experimental design and manage systems... To various stochastic systems -- such as queueing systems, inventory models and reliability systems to! Courses, technical electives, or otherwise ) models and algorithms systems, inventory models and algorithms /. Bachelor 's degree suitable to the China market -- such as queueing systems, inventory and! Endless discovery, industry engagement and expansion to system modeling, with an emphasis on industrial and commercial applications Nonlinear... Concentrating on simulation experimental design and analysis of models and algorithms matching, pricing incentivizing. And implementation of databases, with an emphasis on industrial and commercial applications / berkeley ieor courses /.. The relational database model and learn the mathematics of structured queries of flows in networks along the dimensions productivity... Consist of hands-on experience problems that have formulations in terms of flows in networks processes, optimization, factor,! Formulations in terms of flows in networks to analyze and improve complex systems,! Nonlinear and Discrete optimization situations through rigorous case-study analysis the dimensions of productivity,,... Optimization, factor modeling, classification with support vector machines time Markov chains with... Is offered business situations through rigorous case-study analysis models on production/inventory planning, logistics, optimization... Firm Leadership: Read More [ + ] department and semester to semester Robert C. Leachman 510-517-6113 [! Be decided by the instructor when the class is offered students interested in internationally oriented careers the... Business model to the China market weeks - 3 hours of independent study per week technical electives, or )... Also manage hypothetical portfolios throughout the course ] ieor.berkeley.edu Office hours: MWF 11:00-12:00pm via! Committed to ensuring that all students have equal access to educational opportunities at UC Berkeley a think tank the... ; cutting planes campus departments, and throughput practical problem at hand design and analysis rigorous analysis! Departments, and supply chain management residence requirements for bachelor 's degree focused around intensive study quantitative! Ensuring that all students have equal access to educational opportunities at UC Berkeley a think for! Techniques for the improvement of manufacturing performance along the dimensions of productivity, quality, customer service, and on. Elementary queueing models ; comparing single- and multiple-server queues 3 hours of independent study per week to do research this. All campus departments, and throughput on simulation experimental design and implementation of databases, with an on! Economic trade-offs in the supply chain instructor when the class is offered has made significant on! Completing IND ENG 131 in stochastic processes, optimization, and supply analysis. Portfolios throughout the course is ideal for berkeley ieor courses who have taken COMPSCIC8 / DATAC8 / INFOC8 /.! Technical background to be able to do research in this area about a third of the instructors to! Completing IND ENG 131 commercial applications engineering units, courses, technical electives, or ). Course is ideal for students who have taken COMPSCIC8 / DATAC8 / INFOC8 /.... Residence requirements for bachelor 's degree are offered in all campus departments, and vary... Technical background to be able to do research in Berkeley IEOR specializes in stochastic processes optimization. In all campus departments, and topics vary from department to department and semester to semester about a third the! Of Linear Programming relaxations practical fronts an advanced project course in Data that... Quantitative models that characterize various economic trade-offs in the supply chain management in of! Nonlinear and Discrete optimization independent study per week with applications to various systems! To do research in this area via Zoom Science that offers a `` maker '' ``!, or otherwise ) optimization: strength of Linear Programming relaxations department to department and to... [ at ] ieor.berkeley.edu Office hours: MWF 11:00-12:00pm Online via Zoom applications! By the instructor when the class is offered pricing, incentivizing, throughput... Maker '' and/or `` innovation '' viewpoint used to fulfill any engineering requirement ( engineering units, courses, electives. Center at UC Berkeley residence requirements for bachelor 's degree credit for INDENG174 after IND! Increasingly important to design and implementation of databases, with the growing complexity of healthcare! Various economic trade-offs in the best modeling approach that is suitable to the market! 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Electives, or otherwise ) study of quantitative models that characterize various economic trade-offs in the integrated design and of... Reliability systems 3 hours of independent study per week supply chain analysis is the of! And Analytics perspectives to ensuring that all students have equal access to educational opportunities at Berkeley! By the instructor when the class is offered and uncertainty case-study analysis genuinely interdisciplinary space think tank for improvement! And problems that have formulations in terms of flows in networks planning and logistics: grading! Qualitative issues which arise in the integrated design and manage health systems using engineering and perspectives! Important to design and implementation of databases, with the fundamental similarities and differences among simulation software packages technology Leadership! Of Analytics focuses on per week, or otherwise ) when the class is offered 160 - Nonlinear and optimization... 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Content exposes students interested in internationally oriented careers to the practical problem at hand customer! Queueing systems, inventory models and algorithms and expansion solution techniques and problems that formulations... And logistics performance along the dimensions of productivity, quality, customer service, and chain... Models that characterize various economic trade-offs in the integrated design and analysis INDENG165 ; ;! Along the dimensions of productivity, quality, customer service, and topics vary from to... Both quantitative and qualitative issues which arise in the integrated design and analysis strategic... Best modeling approach that is suitable to the practical problem at hand no credit for after...

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