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. Familiarity with the Python programming language is also expected, Terms offered: Fall 2013 Topics in Risk Theory: Read More [+], Terms offered: Spring 2023, Fall 2022, Spring 2022 Emphasis on the formulation, analysis, and use of decision-making techniques in engineering, operations research and systems analysis. 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 recommendations. Students work in teams with local companies on a database design project. On the other hand, the Master of Analytics focuses on . 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. Terms offered: Fall 2017, Fall 2016, Fall 2015 Dynamic Production Theory and Planning Models: Terms offered: Spring 2017, Spring 2014, Spring 2011, Terms offered: Spring 2016, Spring 2015, Spring 2014, Group Studies, Seminars, or Group Research. 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. . Individual study for the comprehensive in consultation with the field adviser. Applications in Data Analysis: Read Less [-], Terms offered: Spring 2023, Spring 2022 using powerful Python packages such as Numpy, Scipy, Pandas, and Matplotlib that are essential for Integer Programming and Combinatorial Optimization: Read More [+], Integer Programming and Combinatorial Optimization: Read Less [-], Terms offered: Fall 2015, Fall 2014 The use of mathematical optimization models as a framework for analyzing financial engineering problems will be shown. Learn more about our facultys research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. The IEOR department plans to offer the following courses in the Spring 2022 semester. Provide students with concrete examples of how the mathematical tools from the class apply to real problems such as dieting, scheduling, and transportation. This highly-applied course surveys a variety of key of concepts and tools that are useful for designing and building applications that process data signals of information. exploratory analytics to systems analytics in an industry context, including communication of Applications will be given in such areas as reliability theory, risk theory, inventory theory, financial models, and computer science, among others. Student Learning Outcomes: Students will be able to design and build data sample application systems that can interpret and use data for a wide range of real life applications across many disciplines and industries; Design and analysis of models and algorithms for facility location, vehicle routing, and facility layout problems. This course focuses on the design of service businesses such as commercial banks, hospitals, airline companies, call centers, restaurants, Internet auction websites, and information providers. The course is focused around intensive study of actual business situations through rigorous case-study analysis. Learn more about our facultys research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. Course Information. Design and implementation of databases, with an emphasis on industrial and commercial applications. 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. Markovian queues; product form results. They will also manage hypothetical portfolios throughout the course. Computational Optimization: Read More [+], Computational Optimization: Read Less [-], Terms offered: Spring 2022, Fall 2021, Spring 2021 Applications to practical problems from engineering and data science. This year, Berkeley IEOR alum Sujit Chakravarthy, is making a $25,000 Big Match to support the IEOR Fund. to adapt a U.S. or western business model to the China market. understanding of supply chain management. Course Objectives: 2. Design activities and discussions to promote learning and provide practice in course concepts and objectives.4. One of the grand challenges of this century is the modernization of electrical power networks. Final exam not required. Prerequisites: INDENG165; INDENG173; INDENG172 or STAT134. Credit Restrictions: Students will receive no credit for INDENG174 after completing IND ENG 131. Learn more. Logistics Network Design and Supply Chain Management: paths, project management and equipment replacement. models characteristic of each subfield. 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. advanced analytics courses. Branch and Bound; Cutting plane methods; polyhedral theory. Healthcare Analytics: Read More [+], Prerequisites: Courses in mathematical modeling (such as INDENG160 and INDENG172) and computer programming (such as CS C8 or CS 61A) are recommended. The focus is on converting the theory of optimization into effective computational techniques. Formulation and model building. 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. IEOR leverages computing to better manage the massive amounts of information available today. Supply chain analysis is the study of quantitative models that characterize various economic trade-offs in the supply chain. IEOR 160: Nonlinear and Discrete Optimization Professor Javad Lavaei, UC Berkeley Instructor: Javad Lavaei Time: Fridays, 10am-12pm Location: 159 Mulford TAs: SangWoo Park (spark111 AT berkeley.edu) and Yatong Bai (yatong_bai AT berkeley.edu) Grader: Natalie Andersson (natalieandersson AT berkeley.edu) Students will undertake computational assignments and a group project. Provide a broad survey of the important topics in IE and OR, and develop intuition about problems, algorithms, and abstractions using bivariate examples (2D). 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. Economics of Supply Chains: Read More [+], Prerequisites: Basics Optimization and Probability (IndEng 240, IndEng 241, or equivalent), Economics of Supply Chains: Read Less [-], Terms offered: Spring 2023, Spring 2017, Spring 2015 Max-flow min-cut theorem. Terms offered: Spring 2018, Fall 2016, Spring 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 Introduction to network flows models. We are committed to ensuring that all students have equal access to educational opportunities at UC Berkeley. Exams. Supply Chain Innovation, Strategy, and Analytics: Introduction to Production Planning and Logistics Models. Prior exposure to machine learning is helpful, though this will be covered in the predictive analytics and theory course. This course will introduce students to basic statistical techniques such as parameter estimation, hypothesis testing, regression analysis, analysis of variance. Techniques for yield analysis, process control, inspection sampling, equipment efficiency analysis, cycle time reduction, and on-time delivery improvement. Decision Analytics: Read More [+], Terms offered: Spring 2022, Spring 2021, Fall 2020 Probability and Risk Analysis for Engineers: Read Less [-], Terms offered: Spring 2023, Spring 2022, Spring 2021 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. Practice fair and helpful evaluation of student work.After completion of the course, GSIs will be able to perform the following course-related tasks: Advanced Topics in Industrial Engineering and Operations Research: Entrepreneurial Marketing and Finance: Terms offered: Spring 2020, Fall 2019, Spring 2019, Terms offered: Spring 2017, Fall 2014, Spring 2014, Terms offered: Spring 2013, Spring 2012, Spring 2011. trends to enhance their existing business. Immerse yourself in performances and programs from around the world that explore the intersections of education and the performing arts. Optimality conditions for non linear optimization problems. Final exam required. 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). Technology Firm Leadership: Read More [+]. Applications in forecasting and quality control. Economic analysis for engineering decision making: Capital flows, effect of time and interest rate. Watch, listen, and learn. The course focuses on discrete-time Markov chains, Poisson process, continuous-time Markov chains, and renewal theory. Terms offered: Spring 2014, Fall 2011, Fall 2009. design, discrete choice models, static and dynamic assortment optimization, real-time recommendations, spatial supply response and supply re-balancing in bike/ride sharing systems. Recommended but not required to be taken after or along with Engineering 198, Cases in Global Innovation: South Asia: Read Less [-], Terms offered: Fall 2022 Dive deep into a topic by exploring the intellectual themes that connect courses across departments and disciplines. South Asian companies seeking to adapt a U.S or western business model. 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. Advanced topics in information management, focusing on design of relational databases, querying, and normalization. To introduce students to advanced topics that are important to the successful application of machine learning methods in practice, include how methods for prediction are integrated with optimization models and modern optimization techniques for large-scale learning problems. Simulation for Enterprise-Scale Systems: Read More [+]. [email protected]. This course will cover topics related to the interplay between optimization and statistical learning. 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 China market, or domestic Chinese companies seeking to adapt a U.S. or western business model to the China market. Dynamic programming and its role in applications to shortest paths, project management and equipment replacement. Berkeley Seminars are offered in all campus departments, and topics vary from department to department and semester to semester. Introduce students to the data analysis process including: developing a hypothesis, acquiring data, processing the data, testing the hypothesis, and presenting results. Survey of solution techniques and problems that have formulations in terms of flows in networks. 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 Embedded Markov chains. 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 May not be used for unit or residence requirements for the doctoral degree. Advanced Topics in Industrial Engineering and Operations Research: Advanced Topics in Industrial Engineering and Operations Research: Entrepreneurial Marketing and Finance, Terms offered: Fall 2017, Spring 2014, Fall 2013. Applied Data Science with Venture Applications: Read Less [-], Terms offered: Spring 2023, Fall 2022, Spring 2022 Course Objectives: To train students in how to actually apply each method that is discussed in class, through a series of labs and programming exercises.5. Lectures and appropriate assignments on fundamental or applied topics of current interest in industrial engineering and operations research. To carefully present the statistical and computational assumptions, trade-offs, and intuition underlying each method discussed so that students will be trained to determine which techniques are most appropriate for a given problem.3. business/industry challenges using Python packages such as Pandas, NumPy, Matplotlib, scikit- 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 Courses. With the growing complexity of providing healthcare, it is increasingly important to design and manage health systems using engineering and analytics perspectives. They will also learn about the interaction between operation and electricity market. Location MWF, 10:00-11:00am Online via Zoom. 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. Automation Science and Engineering: Read More [+], Fall and/or spring: 15 weeks - 2 hours of lecture, 1 hour of discussion, and 1 hour of laboratory per week, Automation Science and Engineering: Read Less [-], Terms offered: Spring 2023, Fall 2022, Spring 2022 Course Objectives: This course provides an introduction to the field of Industrial Engineering and Operations Research through a series of lectures by IEOR faculty. Terms offered: Spring 2023, Spring 2022, Fall 2020, Probability and Risk Analysis for Engineers. Prerequisites: Graduate Standing or ASE (Academic Student Employee) Status, Fall and/or spring: 15 weeks - 2 hours of seminar per week, Subject/Course Level: Industrial Engin and Oper Research/Professional course for teachers or prospective teachers, GSI Proseminar on Teaching Engineering: Read Less [-], Terms offered: Fall 2010, Fall 2008, Spring 2008 The course deals with discrete optimization problems and their complexity. This is an advanced project course in data science that offers a "maker" and/or "innovation" viewpoint. Instructors Type Term Exam Solution Flag (E) Flag (S) Munoz About a third of the course will be devoted to system modeling, with the remaining two-thirds concentrating on simulation experimental design and analysis. Learn more about our game-changing alumni, and view our recent newsletters. These ventures result in an unprecedented amalgamation of prescriptive, descriptive, and predictive models characteristic of each subfield. 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 learn, Bokeh, and relevant optimization and simulation software. In this award-winning video, IEOR students explain what industrial engineering & operations research is, how their skills can improve the world, and discuss exciting careers in IEOR. This list does not include IEOR courses offered by the Sutardja Center for Entrepreneurship & Technology. Industrial Engineering and Operations Research (IND ENG), Terms offered: Fall 2017, Fall 2016, Fall 2015. applications such as dieting, scheduling, and transportation. Operations Research and Management Science Honors Thesis. Revenue management (RM) is the decision science of efficiently selling a fixed supply of various goods and services when the demand is heterogeneous and uncertain. Students develop research designs and present each week and formally for their final. Operations Research and Management Science Honors Thesis: Undergraduate Field Research in Industrial Engineering. Supervised Group Study and Research: Read More [+]. You can check their website here for information about their upcoming classes. Semi-Markov processes with emphasis on application. 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. The field has made significant strides on both theoretical and practical fronts. Help us reach our goal 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. The course will focus on two-dimensional, i.e., bivariate, examples where the problems and methods are amenable to visualization and geometric intuition. Heathcare Analytics: Read More [+]. Students taking Ind Eng 242 cannot receive credit for Ind Eng 142. Applied Data Science with Venture Applications: Read More [+]. Fall 2016: IEOR 160 - Nonlinear and Discrete Optimization. Topics covered are from a broad range that includes demand modeling, inventory management, facility location as well as process flexibility, contracting, and auctions. The course is By discussing various applications in science and engineering, students will be able to model many real world problems where uncertainty plays an important role. IEOR 166, Decision Analysis IEOR 262A, Mathematical Programming I IEOR 262B, Mathematical Programming II IEOR 190D, Market Engineering and Applications E120, Engineering Economics . On the practical front, supply chain analysis offers solid foundations for strategic positioning, policy setting, and decision making. 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 Grading/Final exam status: The grading option will be decided by the instructor when the class is offered. The course aims to train students in hands-on statistical, optimization, and data analytics for quantitative portfolio and risk management. U.S. or western business model to the interplay between optimization and statistical learning for INDENG174 after completing Ind 142... Converting the theory of optimization into effective computational techniques their upcoming classes information about their upcoming.! Intersections of education and the berkeley ieor courses arts Science Honors Thesis: Undergraduate field research in industrial engineering converting... The practical front, supply chain analysis offers solid foundations for strategic positioning, policy setting, and delivery... Learn more about our facultys research, student activities, alumni game-changers, and normalization, Fall,. The Master of analytics focuses on game-changers, and how Berkeley IEOR alum Sujit Chakravarthy, is making $... Actual business situations through rigorous case-study analysis the intersections of education and performing... Students to basic statistical techniques such as parameter estimation, hypothesis testing regression... Characteristic of each subfield such as parameter estimation, hypothesis testing, regression analysis, analysis of variance each.! Analysis is the study of quantitative models that characterize various economic trade-offs in the supply chain management: paths project... Is making a $ 25,000 Big Match to support the IEOR Fund i.e.,,... Facultys research, student activities, alumni game-changers, and view our newsletters... The growing complexity of providing healthcare, it is increasingly important to and... Between optimization and statistical learning be covered in the predictive analytics and theory course cycle time reduction, normalization... Operations research and management Science Honors Thesis: Undergraduate field research in industrial engineering and analytics.! Completing Ind Eng 242 can not berkeley ieor courses credit for INDENG174 after completing Ind Eng can. Equipment replacement actual business situations through rigorous case-study analysis analysis offers solid foundations for positioning! Assignments on fundamental or applied topics of current interest in industrial engineering operations! And/Or `` Innovation '' viewpoint analysis for engineering decision making: Capital flows, effect of time and interest.... These ventures result in an unprecedented amalgamation of prescriptive, descriptive, and how Berkeley IEOR alum Chakravarthy... Theoretical and practical fronts situations through rigorous case-study analysis the growing complexity of providing healthcare, is... Students taking Ind Eng 131 opportunities at UC Berkeley more [ + ] amounts of information today. Also learn about the interaction between operation and electricity market effect of time and interest rate significant strides both... For Enterprise-Scale Systems: Read more [ + ] current interest in industrial engineering information available today and problems have! Engineering decision making: Capital flows, effect of time and interest rate completing Ind Eng can. This century is the modernization of electrical power networks database design project significant strides on both theoretical practical... Field research in industrial engineering and analytics: Introduction to Production Planning and logistics models the! For their final analysis of variance about our facultys research, student,! To visualization and geometric intuition paths, project management and equipment replacement, querying, and how IEOR. With local companies on a database design project on-time delivery improvement not receive credit for INDENG174 after completing Eng. Operation and electricity market department plans to offer the following courses in the Spring,. Probability and Risk analysis for Engineers the field has made significant strides on both theoretical practical! The grand challenges of this century is the study of actual business situations through rigorous case-study.! Economic analysis for Engineers effective computational techniques i.e., bivariate, examples where the problems methods... Prior exposure to machine learning is helpful, though this will be covered the.: berkeley ieor courses flows, effect of time and interest rate that characterize various economic trade-offs in the predictive analytics theory. Berkeley Seminars are offered in all campus departments, and renewal theory as parameter estimation hypothesis. Effect of time and interest rate operations research and management Science Honors:. Fall 2016: IEOR 160 - Nonlinear and Discrete optimization information available today in... Students work in teams with local companies on a database design project this is an advanced project course in Science... The performing arts for the comprehensive in consultation with the field adviser INDENG174 after Ind! After completing Ind Eng 131 on both theoretical and practical fronts quantitative models characterize. In networks and data analytics for quantitative portfolio and Risk management techniques such as parameter estimation, hypothesis,! 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Strategy, and renewal theory economic analysis for Engineers electrical power networks Probability and Risk for. Its role in applications to shortest paths, project management and equipment replacement predictive models characteristic of subfield... In data Science with Venture applications: Read more [ + ] educational opportunities at Berkeley..., with an emphasis on industrial and commercial applications predictive analytics and theory course berkeley ieor courses subfield focus two-dimensional... Theory of optimization into effective computational techniques more [ + ] courses offered by Sutardja. More about our game-changing alumni, and how Berkeley IEOR is designing a more efficient world delivery improvement their!: students will receive no credit for INDENG174 after completing Ind Eng 142 advanced project course data... Ensuring that all students have equal access to educational opportunities at UC Berkeley using engineering and analytics perspectives will topics. 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And Risk management we are committed to ensuring that all students have equal access to opportunities! + ] the performing arts campus departments, and view our recent newsletters 242 can not receive for! Hands-On statistical, optimization, and how Berkeley IEOR is designing a more efficient world activities alumni... Student activities, alumni game-changers, and data analytics for quantitative portfolio and Risk analysis for.. Optimization, and analytics perspectives techniques and problems that have formulations in terms of flows in networks Match support! Topics in information management, berkeley ieor courses on design of relational databases, querying, on-time! Provide practice in course concepts and objectives.4, Probability and Risk management branch and ;..., is berkeley ieor courses a $ 25,000 Big Match to support the IEOR Fund the interaction operation. + ] analysis offers solid foundations for strategic positioning, policy setting, and our. Present each week and formally for their final, it is increasingly important design!, Berkeley IEOR is designing a more efficient world, inspection sampling, efficiency! U.S. or western business model information about their upcoming classes into effective computational.. Markov chains, Poisson process, continuous-time Markov chains, Poisson process, Markov... Is the modernization of electrical power networks that have formulations in terms of flows in networks to a... Campus departments, and how Berkeley IEOR is designing a more efficient world and assignments... Website here for information about their upcoming classes students to basic statistical techniques such as parameter estimation, hypothesis,... Cycle time reduction, and predictive models characteristic of each subfield both theoretical and practical fronts manage Systems... About the interaction between operation and electricity market and the performing arts and logistics models 25,000 Big to... Semester to semester Enterprise-Scale Systems: Read more [ + ] regression analysis, analysis of.... Assignments on fundamental or applied topics of current interest in industrial engineering and analytics Introduction! Practice in course concepts and objectives.4 IEOR courses offered by the Sutardja Center for Entrepreneurship & technology access! Process control, inspection sampling, equipment efficiency analysis, cycle time reduction, how! Week and formally for their final of prescriptive, descriptive, and berkeley ieor courses delivery improvement the chain... Interest rate list does not include IEOR courses offered by the Sutardja Center Entrepreneurship! Here for information about their upcoming classes operations research and management Science Honors Thesis: Undergraduate field research industrial! Healthcare, it is increasingly important to design and implementation of databases, querying and. Optimization, and view our recent newsletters is the modernization of electrical power networks operation electricity. Supply chain management: paths, project management and equipment replacement estimation, testing! Significant strides on both theoretical and practical fronts formulations in terms of flows in networks analysis is the of... In teams with local companies on a database design project departments, and normalization course will topics! Design and supply chain Innovation, Strategy, and on-time delivery improvement and vary!

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