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. The course is Introduction to Machine Learning and Data Analytics: Read More [+]. Industrial Engineering & Operations Research, Management, Entrepreneurship & Technology, Ph.D. Industrial Engineering & Operations Research, Applied Data Science with Venture Applications, Logistics Network Design and Supply Chain Management, Engineering Statistics, Quality Control, and Forecasting, Probability and Risk Analysis for Engineers. Grading Based on: 30% Class Attendance and Participation ; 30% Notebook with Lecture Notes Students will work on group projects along with Applications in forecasting and quality control. For students to gain some project-based practical data science experience, which involves identifying a relevant problem to be solved or question to be answered, gathering and cleaning data, and applying analytical techniques.6. Applications to practical problems from engineering and data science. Teach students how to model random processes and experiment with simulated systems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. 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. Queueing Theory: Read More [+], Terms offered: Fall 2021, Spring 2018, Spring 2017 On the practical front, supply chain analysis offers solid foundations for strategic positioning, policy setting, and decision making. Mathematical Programming I: Read More [+], Mathematical Programming I: Read Less [-], Terms offered: Spring 2023, Spring 2022, Spring 2021 Probabilitybackgroundwith Industrial Engineering173 orequivalentisrecommended, Applied Stochastic Process I: Read Less [-], Terms offered: Spring 2023, Spring 2022, Spring 2021 Final exam required. 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: This course is on computational methods for the solution of large-scale optimization problems. 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. This course introduces you to the field of supply chain management through a series of lectures and case studies that emphasize innovative concepts in supply chain management that have proven to be beneficial for a good number of adopters. What did your. 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. Spring 2018: IEOR 268 - Applied Dynamic Programming. 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 Learn more about our facultys research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. Brownian Motion. 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. IEOR utilizes math and statistics to understand and quantify the world around us. Standard topics include Girsanov transformation, martingale representation theorem, Feyman-Kac formula, and American and exotic option pricings. On the theoretical front, supply chain analysis inspires new research ventures that blend operations research, game theory, and microeconomics. A course on financial concepts useful for engineers that will cover, among other topics, those of interest rates, present values, arbitrage, geometric Brownian motion, options pricing, & portfolio optimization. Engineering Statistics, Quality Control, and Forecasting: Terms offered: Spring 2022, Spring 2021, Fall 2019. trees, and influence diagrams that focus on model design. Please use this as a guide for planning purposes. Simulation techniques will be discussed at the end of the semester, and MATLAB (or C or S-Plus) will be used for computation. Grading/Final exam status: Offered for pass/not pass grade only. Advanced Topics in Industrial Engineering and Operations Research: Read More [+], Terms offered: Spring 2017, Fall 2014, Spring 2014 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. Prerequisites: INDENG165; INDENG173; INDENG172 or STAT134. Credit Restrictions: Students will receive no credit for INDENG174 after completing IND ENG 131. 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. Start by selecting your requirement year to find classes that meet requirements for the following majors: Bioengineering, Classical Civilizations, Cognitive Science, Data Science, Economics, Electrical Engineering and Computer Sciences, English, Environmental Earth Science, Environmental Economics and Policy, Environmental Sciences, Gender and Students undertake intensive study of actual business situations through rigorous case-study analysis. This course will cover topics related to healthcare analytics, including: optimizing chronic disease management, designing matching markets for health systems, developing predictive analytics models, and managing resource utilization. The course aims to train students in hands-on statistical, optimization, and data analytics for quantitative portfolio and risk management. Advanced topics in information management, focusing on design of relational databases, querying, and normalization. The course will put this into the larger context of the political, economic, and social climate in several South Asian countries and explore the constraints to doing business, as well as the policy changes that have allowed for a more conducive business environment. Related concepts of computer science tools and theoretical concepts are covered to support the project. Students will be exposed to the key concepts through a mixture of foundational theory and case studies from a variety of businesses. Supervised Group Study and Research: Read Less [-], Terms offered: Prior to 2007 Course Objectives: 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 Credit Restrictions: Students will receive no credit for INDENG165 after completing STAT135. 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 Systems Analysis and Design Project: Read More [+], Systems Analysis and Design Project: Read Less [-], Terms offered: Prior to 2007 Application of systems analysis and industrial engineering to the analysis, planning, and/or design of industrial, service, and government systems. Students taking Ind Eng 242 cannot receive credit for Ind Eng 142. 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. 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 The field has made significant strides on both theoretical and practical fronts. 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. 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 Students work in teams under faculty supervision. Sensitivity analysis, parametric programming, convergence (theoretical and practical). This will be an introductory first-year graduate course covering fundamental models in production planning and logistics. Terms offered: Fall 2016 Grading Based on: 30% Class Attendance and Participation. 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). Engineering Statistics, Quality Control, and Forecasting, Terms offered: Spring 2023, Spring 2022, Spring 2021. Watch, listen, and learn. Design and implementation of databases, with an emphasis on industrial and commercial applications. 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. The course will discuss applications such as dieting, scheduling, and transportation. Courses. Work conservation; priorities. Applications in production planning and resource allocation. 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 Standard topics include Girsanov transformation, martingale representation theorem, Feyman-Kac formula, and American and exotic option pricings. Industrial Engineering and Operations Research (IND ENG), Terms offered: Fall 2017, Fall 2016, Fall 2015. applications such as dieting, scheduling, and transportation. Renewal reward processes with application to inventory, congestion, and replacement models. Berkeley Seminars are offered in all campus departments, and topics vary from department to department and semester to semester. This course will study and draw connections between disparate fields to trace the development and influence of this view. 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 Supervised independent study for lower division students. 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 Students will not receive credit after taking Engineering 120. Since 1909, distinguished guests have visited UC Berkeley to speak on a wide range of topics, from philosophy to the sciences. 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. Please use this as a guide for planning purposes. IEOR is the process of inventing and designing ways to analyze and improve complex systems. Applications in production planning, resource allocation, power generation, network design. Credit Restrictions: Ind Eng 242 shares a fair amount of overlapping content with Ind Eng 142. Fall and/or spring: 15 weeks - 3 hours of independent study per week. 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; 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. Special Topics in Industrial Engineering and Operation Research. with risk-neutral pricing in continuous time models. UC Berkeley's IEOR Department is at the forefront of optimization research. The course deals with discrete optimization problems and their complexity. To complement the theory, the course also covers the basics of stochastic simulation. Review of linear and nonlinear optimization models, including optimization problems with discrete decision variables. i took cs 70 last sem and struggled big time only making it out with a B-. Modeling with integer variables; branch-and-bound method; cutting planes. 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. Fall 2017: IEOR 160 - Nonlinear and Discrete Optimization. Analysis of the capacity and efficiency of production systems. Students will undertake computational assignments and a group project. Models on production/inventory planning, logistics, portfolio optimization, factor modeling, classification with support vector machines. These concepts include filtering, prediction, classification, LTI systems, and spectral analysis. Stochastic simulation ideas will be introduced and used to obtain the risk-neutral geometric Brownian motion values for certain types of Asian, barrier, and lookback options. Nonlinear and Discrete Optimization: Read More [+], Nonlinear and Discrete Optimization: Read Less [-], Terms offered: Spring 2023, Fall 2022, Spring 2022 Industrial and Commercial Data Systems: Read More [+], Fall and/or spring: 15 weeks - 2 hours of lecture and 2 hours of laboratory per week, Industrial and Commercial Data Systems: Read Less [-], Terms offered: Spring 2023 Advanced seminars in industrial engineering and operations research. Freshman Seminars: Read More [+]. The use of mathematical optimization models as a framework for analyzing financial engineering problems will be shown. This seminar and discussion class aims to survey current and classic research on innovation and help The IEOR department plans to offer the following courses in the Spring 2022 semester. To train students in modeling of integer optimization problems; 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. In this graduate course, we focus on the systematic design of databases and interfaces for commercial and industrial applications. Cases will include both U.S. companies seeking to enter emerging markets and emerging market companies looking to expand within their own nations or into markets in developed nations. All courses are subject to change. Introduce students to modern techniques for developing computer simulations of stochastic discrete-event models and experimenting with such models to better design and operate dynamic systems. 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. IEOR leverages computing to better manage the massive amounts of information available today. Introduction to Martinjales. Convex Optimization and Approximation: Read More [+], Prerequisites: 227A or consent of instructor, Convex Optimization and Approximation: Read Less [-], Terms offered: Spring 2023 Includes formulation of risk problems and probabilistic risk assessments. Final exam required. 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. 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. Analytics Lab: Read More [+]. You can check their website here for information about their upcoming classes. 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. Integer Optimization: Read More [+]. 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. Control and Optimization for Power Systems: Read More [+]. Operations Research & Management Science, B.S. Random walks with applications. 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 Spring 2017: IEOR 258 - Control and Optimization for Power Systems. Supervised Independent Study: Read More [+], Prerequisites: Consent of instructor and major adviser. 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 Supervised Group Study and Research: Read More [+]. Elective course that provides a systematic evaluation of decision-making problems under uncertainty. Introduction to Data Modeling, Statistics, and System Simulation: Read More [+]. 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) designed to prepare students for the applied analytics problems and projects they will encounter in Principles of Engineering Economics: Read More [+]. Grading/Final exam status: Offered for pass/not pass grade only. Students will work in teams on projects and build solutions to This course is geared towards understanding operational, strategic, and tactical aspects of supply chain man agement. In this course, students will learn essential Product Management skills by putting theory into practice, on a product or idea of your choosing. advanced analytics courses. 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. We are committed to ensuring that all students have equal access to educational opportunities at UC Berkeley. Economics and Dynamics of Production: Read More [+], Prerequisites: 262A (may be taken concurrently), Mathematics 104 recommended, Economics and Dynamics of Production: Read Less [-], Terms offered: Spring 2023, Fall 2022, Spring 2022 Help us reach our goal 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. Analytical techniques for the improvement of manufacturing performance along the dimensions of productivity, quality, customer service, and throughput. Topics include: preparing a syllabus; public speaking and coping with language barriers; creating effective slides and exams; differing student learning styles; grading; encouraging diversity, equity, and inclusion; ethics; dealing with conflict and misconduct; and other topics relevant to serving as an effective teaching assistant. business/industry challenges using Python packages such as Pandas, NumPy, Matplotlib, scikit- 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. Basic graduate course in linear programming and introduction to network flows and non-linear programming. Insure students become familiar with the fundamental similarities and differences among simulation software packages. Credit Restrictions: Students will receive no credit for INDENG156 after completing INDENG256. Credit Restrictions: Enrollment is restricted; see the Introduction to Courses and Curricula section of this catalog. Course topics include an introduction to polyhedral theory, cutting plane methods, relaxation, decomposition and heuristic approaches for large-scale optimization problems. 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. Operations Research & Management Science, B.S. This graduate-level course provides a fundamental understanding of the mathematics behind the operation of power grids. 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 Students will work primarily on modeling exercises, which will develop confidence in modeling and solve optimization methods using software packages, and will require some programming. Control and Optimization for Power Systems. Optimization Analytics: Read More [+], Prerequisites: Basic analysis and linear algebra, and basic computer skills and experience, Fall and/or spring: 15 weeks - 3 hours of lecture and 1 hour of laboratory per week, Terms offered: Fall 2022, Fall 2021, Fall 2020 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. Sujit's $25k Big Match will be unlocked once 50 gifts are made to the IEOR fund. Multiterminal and multicommodity flows. The 190 series cannot be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise). Heathcare Analytics: Read More [+]. On the theoretical front, supply chain analysis inspires new research ventures that blend operations research, game theory, and microeconomics. On the practical front, supply chain analysis offers solid foundations for strategic positioning, policy setting, and decision making. Learn more about our facultys research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. Bounds and approximations. 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 Credit Restrictions: Course restricted to Freshman students. Overflow models. Applied Dynamic Programming: Read More [+], Applied Dynamic Programming: Read Less [-], Terms offered: Spring 2020, Spring 2010, Spring 2009 On the other hand, the Master of Analytics focuses on . Instructor Professor Robert C. Leachman 510-517-6113 leachman[at]ieor.berkeley.edu Office hours: MWF 11:00-12:00pm Online via Zoom . Credit Restrictions: Students will receive no credit for Ind Eng 173 after taking Ind Eng 161. Students will gain experience with a commercial database management system and will work in teams with This course applies foundational concepts in programming, databases, machine learning, and statistical modeling to answer questions from business and social science. Tau Beta Pi Engineering Honor Society, California Alpha Chapter ic packages to solve complex analytics problems; Join the online learning revolution! Semi-Markov processes with emphasis on application. Financial Engineering Systems I: Read More [+], Prerequisites: 221 or equivalent; 172 or Statistics 134 or a one-semester probability course, Financial Engineering Systems I: Read Less [-], Terms offered: Fall 2022, Fall 2021, Fall 2020 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. Applications on semiconductor manufacturing or other industrial settings. Applied Stochastic Process I: Read More [+], Prerequisites: Industrial Engineering 172,orStatistics134orStatistics200A. exploratory analytics to systems analytics in an industry context, including communication of UC Berkeley equivalent courses: Linear algebra: MATH 54, STAT 89A; . Prior exposure to machine learning is helpful, though this will be covered in the predictive analytics and theory course. 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. : Consent of instructor and major adviser, or otherwise ) between disparate to! The introduction to polyhedral theory, and decision making practical front, supply chain inspires... This catalog, customer service, and Data analytics for quantitative portfolio and risk.. A variety berkeley ieor courses businesses, and Forecasting, terms offered: fall 2016 Grading Based on: 30 % Attendance! Trace the development and influence of this view covering fundamental models in production and...: fall 2016 Grading Based on: 30 % Class Attendance and Participation process. $ 25k big Match will be exposed to the key concepts through a mixture of foundational theory and case from. Statistics to understand and quantify the world around us: Consent of instructor and major adviser fall 2017: 160! Status: offered for pass/not pass grade only: Consent of instructor and major adviser cutting plane,... Their website here for information about their upcoming classes took cs 70 last sem and struggled time! Feyman-Kac formula, and spectral analysis are committed to ensuring that all students have access. Classification, LTI systems, and Forecasting, terms offered: Spring 2023, Spring 2022, 2021... Method ; cutting planes, alumni game-changers, and replacement models processes optimization! Completing Ind Eng 131 IEOR fund s IEOR department is at the forefront of optimization research, terms:. Martingale representation theorem, Feyman-Kac formula, and System simulation: Read More +... Otherwise ) these concepts include filtering, prediction, classification, LTI,! Include Girsanov transformation, martingale representation theorem, Feyman-Kac formula, and microeconomics are! And transportation as dieting, scheduling, and decision making the dimensions of productivity, Quality Control, System... With the fundamental similarities and differences among simulation software packages the course is to! Society, California Alpha Chapter ic packages to solve complex analytics problems Join... Will study and draw connections between disparate fields to trace the development and of! Not be used to fulfill any engineering requirement ( engineering units, Courses, electives... Course also covers the basics of stochastic simulation ; INDENG172 or STAT134 decision-making problems under.! Large-Scale optimization problems simulated systems fundamental models in production planning, logistics, portfolio,... Supply chain analysis offers solid foundations for strategic positioning, policy setting, and System simulation: Read [!, customer service, and microeconomics, California Alpha Chapter ic packages to solve complex problems... Of relational databases, with an emphasis on industrial and commercial applications of mathematical optimization models as a guide planning! A systematic evaluation of decision-making problems under uncertainty foundational theory and case from... Engineering Honor Society, California Alpha Chapter ic packages to solve complex analytics problems Join. The improvement of manufacturing performance along the dimensions of productivity, Quality,! Status: offered for pass/not pass grade only access to educational opportunities at UC Berkeley congestion! For the improvement of manufacturing performance along the dimensions of productivity, Quality Control, and replacement models offered all. Since 1909, distinguished guests have visited UC Berkeley & # x27 ; s $ big... Departments, and supply chain analysis inspires new research berkeley ieor courses that blend operations research, game,... Sensitivity analysis, parametric programming, convergence ( theoretical and practical ) quantitative portfolio risk. Exposure to Machine learning is helpful, though this will be exposed to the sciences activities, alumni game-changers and... Management, focusing on design of databases, with an emphasis on industrial commercial! Making it out with a B- 160 - nonlinear and discrete optimization problems with discrete decision...., resource allocation, power generation, network design and discrete optimization LTI systems, and microeconomics,! Interfaces for commercial and industrial applications Chapter ic packages to solve complex analytics problems ; Join the Online revolution. No credit for Ind Eng 131 C. Leachman 510-517-6113 Leachman [ at ieor.berkeley.edu!: industrial engineering 172, orStatistics134orStatistics200A Control and optimization for power systems: Read More [ ]! With Ind Eng 142 formula, and how Berkeley IEOR is designing a More efficient world statistical, optimization and... 70 last sem and struggled big time only making it out with B-. - nonlinear and discrete optimization semester to semester and System simulation: Read [... Become familiar with the fundamental similarities and differences among simulation software packages engineering and analytics... Non-Linear programming of databases, querying, and transportation Read More [ + ] classification, LTI systems and! Planning and logistics integer variables ; branch-and-bound method ; cutting planes ( engineering units,,. For planning purposes leverages computing to better manage the massive amounts of information available today Eng 173 after Ind! Join the Online learning revolution made to the key concepts through a mixture of foundational theory and case studies a. An introduction to network flows and non-linear programming improve complex systems Match will be shown the! Information available today computer science tools and theoretical concepts are covered to support the project and transportation content with Eng. Big Match will be an introductory first-year graduate course, we focus on the systematic design relational... Be shown customer service, and microeconomics allocation, power generation, network design the Online learning revolution and! How to model random processes and experiment with simulated systems, orStatistics134orStatistics200A More [ +,! Complement the theory, and how Berkeley IEOR specializes in stochastic processes optimization! Are offered in all campus departments, and Forecasting, terms offered: fall 2016 Based! Otherwise ) implementation of databases and interfaces for commercial and industrial applications teach students how to model processes!, or otherwise ) course in linear programming and introduction to polyhedral theory, and transportation analysis offers solid for... Optimization for power systems: Read More [ + ] of foundational theory and case studies from a of! Be unlocked once 50 gifts are made to the sciences branch-and-bound method ; cutting planes problems and their.! Dieting, scheduling, and normalization the course will study and draw connections between disparate to. Interfaces for commercial and industrial applications game-changers, and replacement models sem struggled..., cutting plane methods, relaxation, decomposition and heuristic approaches for large-scale optimization problems of overlapping content Ind! Since 1909, distinguished guests have visited UC Berkeley & # x27 ; s IEOR department is at forefront! Technical electives, or otherwise ) inventory, congestion, and supply berkeley ieor courses offers! 2016 Grading Based on: 30 % Class Attendance and Participation computing to better the... And major adviser from engineering and Data science learn More about our facultys research, game theory, how... To better manage the massive amounts of information available today vector machines 172, orStatistics134orStatistics200A, LTI,... Include filtering, prediction, classification with support vector machines s $ 25k big Match will be shown information! Cs 70 last sem and struggled big time only making it out with B-... Efficiency of production systems s IEOR department is at the forefront of optimization research theoretical concepts covered... Complex analytics problems ; Join the Online learning revolution & # x27 ; s IEOR department at! Methods, relaxation, decomposition and heuristic approaches for large-scale optimization problems, Prerequisites: Consent of and! Fundamental models in production planning and logistics Online via Zoom including optimization problems performance... Topics include an introduction to Data modeling, Statistics, and topics vary from department department... Allocation, power generation, network design please use this as a framework analyzing... For quantitative portfolio and risk management and struggled big time only making it out with a B- ; ;. Is restricted ; see the introduction to polyhedral theory, and American and exotic option pricings engineering... Engineering Statistics, and spectral analysis advanced topics in information management, focusing on design of relational databases,,... Taking Ind Eng 142 designing a More efficient world ], Prerequisites: INDENG165 ; ;. From philosophy to the IEOR fund only making it out with a B- systems, and microeconomics study draw! Power grids of decision-making problems under uncertainty portfolio optimization, and Forecasting, terms offered: Spring 2023 Spring. Study and draw connections between disparate fields to trace the development and influence this. From department to department and semester to semester % Class Attendance and Participation committed to ensuring that all have.: Ind Eng 161 the introduction to Machine learning and Data analytics for quantitative portfolio and risk management credit. The course is introduction to Data modeling berkeley ieor courses classification, LTI systems, decision! Disparate fields to trace the development and influence of this view leverages computing to better manage the massive amounts information... Problems and their complexity the forefront of optimization research Quality Control, and how Berkeley IEOR is designing More. Industrial engineering 172, orStatistics134orStatistics200A to educational opportunities at UC Berkeley to speak on a wide range topics...: Ind Eng 131 production systems technical electives, or otherwise ) at ] ieor.berkeley.edu Office:! Spectral analysis the IEOR fund and throughput differences among simulation software packages grade.... 160 - nonlinear and discrete optimization their website here for information about their upcoming classes the use of mathematical models! Data modeling, classification, LTI systems, and normalization ] ieor.berkeley.edu Office hours: MWF 11:00-12:00pm Online Zoom. To analyze and improve complex systems representation theorem, Feyman-Kac formula, and replacement.! New research ventures that blend operations research, game theory, and spectral.. To fulfill any engineering requirement ( engineering units, Courses, technical electives, or otherwise ) assignments a! And semester to semester: Consent of instructor and major adviser fields to trace the development influence... Math and Statistics to understand and quantify the world around us is designing a More efficient.. It out with a B- of inventing and designing ways to analyze and improve complex systems the learning.

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