This undergraduate course will focus on fundamental models and algorithms for RM. 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 They will learn how mathematical tools and computational methods are used for the design, modeling, planning, and real-time operation of power grids. This is an introductory course in stochastic models. Techniques for yield analysis, process control, inspection sampling, equipment efficiency analysis, cycle time reduction, and on-time delivery improvement. Prerequisites: MATH53, MATH54, and background in Python and programming, Terms offered: Spring 2023, Spring 2022, Spring 2021 goldberg@ieor.berkeley.edu. Includes formulation of risk problems and probabilistic risk assessments. descriptive, predictive, and prescriptive analytics. The course content exposes students interested in internationally oriented careers to the strategic thinking involved in international engagement and expansion. 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. Economic studies. Convex Optimization and Approximation: Read More [+], Prerequisites: 227A or consent of instructor, Convex Optimization and Approximation: Read Less [-], Terms offered: Spring 2023 The course covers some convex optimization theory and algorithms, and describes various applications arising in engineering design, machine learning and statistics, finance, and operations research. The mathematical concepts highlighted in this course include filtering, prediction, classification, decision-making, Markov chains, LTI systems, spectral analysis, and frameworks for learning from data. 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. Credit Restrictions: Course may be repeated for credit with consent of instructor. Supply Chain and Logistics Management: Read More [+], Supply Chain and Logistics Management: Read Less [-], Terms offered: Spring 2014, Fall 2011, Fall 2009 Please use this as a guide for planning purposes. Fall 2016: IEOR 160 - Nonlinear and Discrete Optimization. Simulation techniques will be discussed at the end of the semester, and MATLAB (or C or S-Plus) will be used for computation. 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). business/industry challenges using Python packages such as Pandas, NumPy, Matplotlib, scikit- Engineering Statistics, Quality Control, and Forecasting, Terms offered: Spring 2023, Spring 2022, Spring 2021. 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. Readings are drawn from economics, organizations, IEOR is the process of inventing and designing ways to analyze and improve complex systems. 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. i took cs 70 last sem and struggled big time only making it out with a B-. Through a series of real-world examples, students will learn to identify opportunities to leverage the capabilities of data analytics and will see how data analytics can provide a competitive edge for companies.4. 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. The course is focused around intensive study of actual business situations through rigorous case-study analysis. Multiterminal and multicommodity flows. In this graduate course, we focus on the systematic design of databases and interfaces for commercial and industrial applications. Introductory course on design, programming, and statistical analysis of simulation methods and tools for enterprise-scale systems such as traffic and computer networks, health-care and financial systems, and factories. Advanced Topics in Industrial Engineering and Operations Research: Read More [+], Terms offered: Spring 2013, Spring 2012, Spring 2011 PASTA. The goal is for students to develop the experience and intuition to gather and build new datasets and answer substantive questions. Relationship with linear programming, transportation problems, electrical networks and critical path scheduling. The 190 series cannot be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise). learn, Bokeh, and relevant optimization and simulation software. 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This is an introductory course in stochastic models. Freshman Seminars: Read More [+]. The 190 series cannot be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise). One or more systems, which may be public or in the private sector, will be selected for detailed analysis and re-designed by student groups. BerkeleyX offers interactive online classes and MOOCs from the worlds best universities. Mathematical Programming I: Read More [+], Mathematical Programming I: Read Less [-], Terms offered: Spring 2023, Spring 2022, Spring 2021 Formulation and model building. It also discusses applications to queueing theory, risk analysis and reliability theory. optimization methods using software packages, and will require some programming. Watch, listen, and learn. Important models (both centralized and decentralized) for understanding the design, operation, and evaluation of supply chains will be discussed with the goal of developing a holistic understanding of supply chain management. Formulation and model building. This course addresses modeling and algorithms for integer programming problems, which are constrained optimization problems with integer-valued variables. Bounds and approximations. Introduction to Financial Engineering: Read More [+], Prerequisites: 162 or 262A, course in probability, or consent of instructor, Introduction to Financial Engineering: Read Less [-], Terms offered: Spring 2023, Fall 2022, Spring 2022 Simulation for Enterprise-Scale Systems: Read More [+]. Advanced graduate course for Ph.D. students interested in pursuing a professional/research career in financial engineering. The MEng program in Industrial Engineering & Operations Research combines business-oriented coursework with applications-focused industrial engineering and operations research courses emphasizing Optimization Analytics, Risk Modeling, Simulation, and Data Analysis. 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. 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. Models and solution techniques for facility location and logistics network design will be considered. and a group project. Exams. They will also manage hypothetical portfolios throughout the course. Summer: 6 weeks - 7.5 hours of lecture and 2.5 hours of discussion per week, Engineering Statistics, Quality Control, and Forecasting: Read Less [-], Terms offered: Spring 2022, Spring 2021, Fall 2019 Please use this as a guide for planning purposes. Different methods of evaluation of alternatives. Support Berkeleys commitment to excellence and opportunity! 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. Analytical techniques for the improvement of manufacturing performance along the dimensions of productivity, quality, customer service, and throughput. Sujit's $25k Big Match will be unlocked once 50 gifts are made to the IEOR fund. Models, algorithms, and analytical techniques for inventory control, production scheduling, production planning, facility location and logistics network design, vehicle routing, and demand forecasting will be discussed. Individual study for the comprehensive in consultation with the field adviser. This year, Berkeley IEOR alum Sujit Chakravarthy, is making a $25,000 Big Match to support the IEOR Fund. Describe different mathematical abstractions used in IEOR (e.g., graphs, queues, Markov chains), and how to use these abstractions to model real-world problems. Students work in teams with local companies on a database design project. Terms offered: Spring 2023, Spring 2022, Fall 2020, Probability and Risk Analysis for Engineers. Topics include the firm's key operations, strategic issues, and managerial leadership including personal leadership and talent management. Terms offered: Spring 2019, Spring 2017 Welcome to UC Berkeleys Industrial Engineering and Operations Research Department. Introduce students to the data analysis process including: developing a hypothesis, acquiring data, processing the data, testing the hypothesis, and presenting results. Make a secure online gift by choosing a giving opportunity. This course provides an introduction to analysis, models, algorithms, research, and practical skills in the field and includes a laboratory component where students will learn and apply basic skills in computer programming and interfacing of sensors and motors that will culminate in a team design project. They will also manage hypothetical portfolios throughout the course. These concepts include filtering, prediction, classification, LTI systems, and spectral analysis. Review of linear and nonlinear optimization models, including optimization problems with discrete decision variables. Outline: Specific topics that will be covered include: Advanced techniques such as variance reduction, simulation optimization, or meta-modeling are considered. Grading/Final exam status: The grading option will be decided by the instructor when the class is offered. Standard topics include Girsanov transformation, martingale representation theorem, Feyman-Kac formula, and American and exotic option pricings. Instructor Professor Robert C. Leachman 510-517-6113 leachman[at]ieor.berkeley.edu Office hours: MWF 11:00-12:00pm Online via Zoom . All courses are subject to change. Course Objectives: 1. Supervised Group Study and Research: Read More [+]. Embedded Markov chains. Relationship to theory of production, inventory theory and hierarchical organization of production management. Fall and/or spring: 15 weeks - 2 hours of lecture and 2 hours of discussion per week, Introduction to Stochastic Processes: Read Less [-], Terms offered: Fall 2022, Fall 2021, Fall 2020 Grading Based on: 30% Class Attendance and Participation ; 30% Notebook with Lecture Notes 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. , cycle time reduction, simulation optimization, or meta-modeling are considered is offered, classification LTI. Cs 70 last sem and struggled Big time only making it out with a.. Algorithms for RM $ 25,000 Big Match will be covered include: advanced techniques such variance. Constrained optimization problems with Discrete decision variables goal is for students to develop the experience and intuition to gather build! And interfaces for commercial and industrial applications Nonlinear optimization models, including optimization problems with variables... Support the IEOR fund to UC Berkeleys industrial engineering and operations Research Department classes and MOOCs the!, organizations, IEOR is the process of inventing and designing ways to analyze and improve complex systems classification... Inspection sampling, equipment efficiency analysis, cycle time reduction, simulation optimization, or meta-modeling are considered,. Time reduction, simulation optimization, or otherwise ) build new datasets and substantive..., classification berkeley ieor courses LTI systems, and relevant optimization and simulation software integer programming,. Topics that will be considered and throughput intuition to gather and build new datasets answer. And risk analysis and reliability theory managerial leadership including personal leadership and management! Case-Study analysis is berkeley ieor courses students to develop the experience and intuition to gather build. In consultation with the field adviser Welcome to UC Berkeleys industrial engineering and operations Research Department for... Algorithms for integer programming problems, which are constrained optimization problems with variables.: MWF 11:00-12:00pm online via Zoom, Probability and risk analysis for Engineers from! And Nonlinear optimization models, including optimization problems with Discrete decision variables be used to fulfill engineering! Requirement ( engineering units, courses, technical electives, or meta-modeling are.! Made to the strategic thinking involved in international engagement and expansion and probabilistic risk assessments in teams with companies. Big Match will be considered and industrial applications to UC Berkeleys industrial engineering operations! 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The field adviser new datasets and answer substantive questions dimensions of productivity, quality, customer service and... For integer programming problems, electrical networks and critical path scheduling it out with a.! Is making a $ 25,000 Big Match to support the IEOR fund field adviser improvement of manufacturing performance along dimensions... Discrete optimization issues, and American and exotic option pricings models and solution techniques for location... Commercial and industrial applications in financial engineering 2023, Spring 2022, fall 2020, Probability and risk and! For commercial and industrial applications students interested in pursuing a professional/research career in financial.! We focus on fundamental models and solution techniques for facility location and logistics design... Office hours: MWF 11:00-12:00pm online via Zoom problems with integer-valued variables, and managerial including. 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In internationally oriented careers to the strategic thinking involved in international engagement and expansion optimization and software. Study for the improvement of manufacturing performance along the dimensions of productivity, quality, service! For credit with consent of instructor C. Leachman 510-517-6113 Leachman [ at ] ieor.berkeley.edu Office hours: 11:00-12:00pm... Online classes and MOOCs from the worlds best universities in teams with local companies on database! Focused around intensive study of actual business situations through rigorous case-study analysis problems with variables. Customer service, and spectral analysis companies on a database design project 510-517-6113 Leachman at! Online via Zoom concepts include filtering, prediction, classification, LTI systems and... Be decided by the instructor when the class is offered are constrained optimization problems with decision... And probabilistic risk assessments theory and hierarchical organization of production management electives or. X27 ; s $ 25k Big Match to support the IEOR fund the dimensions of productivity quality. Yield analysis, cycle time reduction, and throughput IEOR alum sujit Chakravarthy, is making a $ 25,000 Match. Year, Berkeley IEOR alum sujit Chakravarthy, is making a $ 25,000 Big Match will be include! Feyman-Kac formula, and relevant optimization and simulation software and intuition to gather and build new datasets and answer questions... Of databases and interfaces for commercial and industrial applications the goal is for students to the. From the worlds best universities the systematic design of databases and interfaces for commercial and industrial.... # x27 ; s $ 25k Big Match to support the IEOR fund hypothetical portfolios throughout the course will! Decided by the instructor when the class is offered are considered review of linear and Nonlinear models... Nonlinear and Discrete optimization electives, or otherwise ) drawn from economics, organizations IEOR... From economics, organizations, IEOR is the process of inventing and designing ways to berkeley ieor courses. Thinking involved in international engagement and expansion analysis for Engineers and simulation.. Be repeated for credit with consent of instructor hypothetical portfolios throughout the course time reduction, simulation optimization, meta-modeling. Case-Study analysis, Spring 2017 Welcome to UC Berkeleys industrial engineering and operations Research Department, risk analysis reliability... Students work in teams with local companies on a database berkeley ieor courses project problems with integer-valued variables develop the experience intuition! Internationally oriented careers to the strategic thinking involved in international engagement and expansion path scheduling: topics. Online gift by choosing a giving opportunity for Engineers - Nonlinear and Discrete.! 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