One of the grand challenges of this century is the modernization of electrical power networks. 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. Search Courses. Prerequisites: MATH53, MATH54, and background in Python and programming, Terms offered: Spring 2023, Spring 2022, Spring 2021 learn, Bokeh, and relevant optimization and simulation software. Terms offered: Spring 2023, Spring 2022, Fall 2020, Probability and Risk Analysis for Engineers. Nonlinear and Discrete Optimization: Read More [+], Nonlinear and Discrete Optimization: Read Less [-], Terms offered: Spring 2023, Fall 2022, Spring 2022 Course Objectives: Provide an introduction to the field of Industrial Engineering and Operations Research through a series of lectures. Heathcare Analytics: Read More [+]. 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. As a member of the UC Berkeley community, I act with honesty, integrity, and respect for others.. Course Objectives: Uncertainty; preference under risk; decision analysis. The 190 series cannot be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise). Duality theory. To acquire skills in the best modeling approach that is suitable to the practical problem at hand. Fall and/or spring: 15 weeks - 3 hours of independent study per week. Credit Restrictions: Students will receive no credit for INDENG256 after completing INDENG156. 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 Applied Data Science with Venture Applications: Read Less [-], Terms offered: Spring 2023, Fall 2022, Spring 2022 The Master of Engineering program in Industrial Engineering & Operations Research is a one year full-time program that combines business-oriented coursework with applications-focused industrial engineering and operations research courses emphasizing Optimization Analytics, Risk Modeling, Simulation, and Data Analysis. Applications will be given in such areas as reliability theory, risk theory, inventory theory, financial models, and computer science, among others. 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 Tau Beta Pi Engineering Honor Society, California Alpha Chapter Grading/Final exam status: The grading option will be decided by the instructor when the class is offered. develop custom Python scripts and functions to perform analytic computations; Familiarity with algorithm design and mathematical maturity recommended, Fundamentals of Revenue Management: Read Less [-], Terms offered: Fall 2020, Fall 2019, Fall 2018 Since 1909, distinguished guests have visited UC Berkeley to speak on a wide range of topics, from philosophy to the sciences. Applications in production planning and resource allocation. May not be used for unit or residence requirements for the doctoral degree. understand the array of mathematical toolkits provided by the Python packages covered. The 190 series cannot be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise). Research projects on current topics in information technology. Terms offered: Fall 2017, Fall 2016, Fall 2015 Applications in robust engineering design, statistics, control, finance, data mining, operations research. 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 A Applied Stochastic Process I: Read More [+], Prerequisites: Industrial Engineering 172,orStatistics134orStatistics200A. Logistics Network Design and Supply Chain Management: paths, project management and equipment replacement. The emphasis will be on computational methods such as variants of GARCH, Black-Litterman, conic optimization, Monte Carlo simulation for risk and optimization, factor modeling. Supervised Group Study and Research: Read More [+]. . 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. Minimum cost flows. using powerful Python packages such as Numpy, Scipy, Pandas, and Matplotlib that are essential for The simplex method and its variants. Directed Group Studies for Advanced Undergraduates: Scipy, Pandas, and Matplotlib that are essential for, Terms offered: Spring 2017, Spring 2016, Spring 2015. options. a series of design problems individually and in teams. Emphasis on the formulation, analysis, and use of decision-making techniques in engineering, operations research and systems analysis. Probability and Risk Analysis for Engineers: 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 Course does not satisfy unit or residence requirements for bachelor's degree. Introduction to Data Modeling, Statistics, and System Simulation: Read More [+]. IEOR leverages computing to better manage the massive amounts of information available today. Industrial Engineering and Operations Research 172 . Note: the course is a mixture of modeling art, analytical science, and computational technology. Outline: Specific topics that will be covered include: Berkeley Seminars are offered in all campus departments, and topics vary from department to department and semester to semester. Algorithms for integer optimization problems. Renewal reward processes with application to inventory, congestion, and replacement models. Understand the University policies and procedures on academic integrity and ethics. The IEOR department is excited to announce that more than 50% of our Fall 2022 undergraduate and master's cohorts are female-identifying and non-binary. This course is on computational methods for the solution of large-scale optimization problems. Optimization and Algorithms Machine Learning and Data Science Risk Modeling, Simulation, and Data Analysis. The course will start with a quick review of 222: the basics of Brownian motion, martingales, Ito's calculus, risk-neutral pricing in continuous time models. Convex Optimization and Approximation: Read More [+], Prerequisites: 227A or consent of instructor, Convex Optimization and Approximation: Read Less [-], Terms offered: Spring 2023 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. 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 This course is concerned with improving processes and designing facilities for service businesses such as banks, health care organizations, telephone call centers, restaurants, and transportation providers. Production Systems Analysis: Read More [+], Prerequisites: INDENG160, INDENG173, INDENG162, INDENG165, and ENGIN120, Production Systems Analysis: Read Less [-], Terms offered: Fall 2022, Fall 2021, Fall 2020 In this course, students will learn essential Product Management skills by putting theory into practice, on a product or idea of your choosing. Watch, listen, and learn. Exams. The first part of the course will cover statistical modeling procedures that can be defined as the minimizer of a suitable optimization problem. The IEOR department plans to offer the following courses in the Spring 2022 semester. Introduction to network flows models. 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 Minimum-cost life and replacement analysis. Teach strengths and weaknesses of different approaches for a foundation for selecting methodologies. The course is focused around intensive study of actual business situations through rigorous case-study analysis. 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. 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. Repeat rules: Course may be repeated for credit when topic changes. Credit Restrictions: Students will receive no credit for INDENG172 after completing STAT134, or STAT 140. 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 Terms offered: Spring 2022, Spring 2016, Spring 2015, Terms offered: Fall 2021, Spring 2018, Spring 2017, Integer Programming and Combinatorial Optimization, Terms offered: Spring 2020, Spring 2010, Spring 2009. Credit Restrictions: Course may be repeated for credit with consent of instructor. The technical material will be presented in the context of engineering team system design and operations decisions. It also discusses applications to queueing theory, risk analysis and reliability theory. Group Studies, Seminars, or Group Research: Read Less [-], Terms offered: Summer 2023 Second 6 Week Session, Fall 2019, Fall 2016 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. Embedded Markov chains. Fall 2016: IEOR 160 - Nonlinear and Discrete Optimization. Specialized strategies by integer programming solvers. 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 Prerequisites: upper division standing. Elective course that provides a systematic evaluation of decision-making problems under uncertainty. 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 Students will solve a series of design problems individually and in teams. IEOR informs business strategy and operations to help leaders of industry and government make better decisions that save time and resources. Introduce students to the data analysis process including: developing a hypothesis, acquiring data, processing the data, testing the hypothesis, and presenting results. 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 Polynomial time algorithms. 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. Advanced techniques such as variance reduction, simulation optimization, or meta-modeling are considered. Risk Modeling, Simulation, and Data Analysis: Read More [+], Prerequisites: Basic notions of probability, statistics, and some programming and spreadsheet analysis experience, Risk Modeling, Simulation, and Data Analysis: Read Less [-], Terms offered: Spring 2023, Fall 2022, Spring 2022 Homeworks and Lab Quizzes: Hardcopies will be . 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 Standard topics include Girsanov transformation, martingale representation theorem, Feyman-Kac formula, and American and exotic option pricings. Computing technology has advanced to the point that commonly available tools can be used to solve practical decision problems and optimize real-world systems quickly and efficiently. Continuous time Markov chains. 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. Credit Restrictions: Ind Eng 242 shares a fair amount of overlapping content with Ind Eng 142. The course content exposes students interested in internationally oriented careers to the strategic thinking involved in international engagement and expansion. On the practical front, supply chain analysis offers solid foundations for strategic positioning, policy setting, and decision making. Specialized strategies by integer programming solvers. In addition, qualitative issues in distribution network structuring, centralized versus decentralized network control, variability in the supply chain, strategic partnerships, and product design for logistics will be considered through discussions and cases. Advanced Topics in Industrial Engineering and Operations Research: Read More [+], Terms offered: Spring 2017, Fall 2014, Spring 2014 Explore the Arts Research Center at UC Berkeley a think tank for the arts and a genuinely interdisciplinary space. The 190 series cannot be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise). Operations Research and Management Science Honors Thesis. Grading: The grading option will be decided by the instructor when the class is offered. This course introduces unconstrained and constrained optimization with continuous and discrete domains. Supply Chain Innovation, Strategy, and Analytics: Introduction to Production Planning and Logistics Models. Prerequisites: Students should have a solid knowledge of calculus, including multiple variable integration, such as MATH1A and MATH1B or MATH16A and MATH16B, as well as programming experience in Matlab or Python. 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; The IEOR department plans to offer the following courses in the Spring 2022 semester. Python for Analytics: Read More [+]. 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. goldberg@ieor.berkeley.edu. This introductory course provides students with sufficient background in Python programming language Engineering Statistics, Quality Control, and Forecasting: Terms offered: Spring 2022, Spring 2021, Fall 2019. trees, and influence diagrams that focus on model design. Course Objectives: Students will understand the similarities and differences in methods for simulating the dynamics of complex, stochastic systems and apply these to model real systems. Supervised Independent Study and Research: Terms offered: Fall 2022, Fall 2021, Fall 2020, Applied Data Science with Venture Applications, Terms offered: Spring 2023, Spring 2022, Fall 2021. , LTI systems, spectral analysis, and frameworks for learning from data. 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. Senior Project: Read More [+], Prerequisites: 160, 162, 165, 173, Engineering 120, and three other Industrial Engineering and Operations Research electives, Fall and/or spring: 15 weeks - 2 hours of lecture and 6 hours of fieldwork per week, Summer: 10 weeks - 3 hours of lecture and 9 hours of fieldwork per week. 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 This is an advanced project course in data science that offers a "maker" and/or "innovation" viewpoint. Relational algebra, SQL, normalization. This year, Berkeley IEOR alum Sujit Chakravarthy, is making a $25,000 Big Match to support the IEOR Fund. Applied Dynamic Programming: Read More [+], Applied Dynamic Programming: Read Less [-], Terms offered: Spring 2020, Spring 2010, Spring 2009 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. Insure students become familiar with the fundamental similarities and differences among simulation software packages. Teach students how to model random processes and experiment with simulated systems. Emphasis will be placed on both the use of computers and the theoretical analysis of models and algorithms. Prerequisites: Students should have taken a probability course, such as STAT134 or INDENG172, and should have programming experience in Matlab or Python. Instructors Type Term Exam Solution Flag (E) Flag (S) Shanthikumar Integer Programming and Combinatorial Optimization: Read More [+], Integer Programming and Combinatorial Optimization: Read Less [-], Terms offered: Fall 2015, Fall 2014 Discussion, practice, and review of fundamentals, issues, and best practices in teaching for any engineering course. Depreciation and taxes. Terms offered: Spring 2022, Spring 2021, Spring 2020, Spring 2019, Spring 2018, Spring 2017. , control, finance, data mining, operations research. WWW design and queries. Prerequisites: IEOR 240 Optimization Analytics, IEOR 241 Risk Modeling & Simulation Analytics, IEOR 242 Applications in Data Analysis. 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 Current Readings in Innovation: Read More [+], Prerequisites: Background: upper level standing or graduate student, any school, Fall and/or spring: 15 weeks - 3 hours of seminar per week, Current Readings in Innovation: Read Less [-], Terms offered: Spring 2011, Spring 2010, Spring 2009 This course is concerned with improving processes and designing facilities for service businesses such as banks, health care organizations, telephone call centers, restaurants, and transportation providers. Make a secure online gift by choosing a giving opportunity. This course applies foundational concepts in programming, databases, machine learning, and statistical modeling to answer questions from business and social science. Supervised Independent Study: Read More [+], Prerequisites: Consent of instructor and major adviser. Semester course unit value and contact hours will have a one-to-one ratio. A project course for students interested in applications of operations research and engineering methods. Flexibility of integer optimization formulations; if-then constraints, fixed-costs, etc. Grading/Final exam status: Offered for pass/not pass grade only. GSI Ahmad Masad 16amasad[at]berkeley.edu Please include [IEOR 130] at the beginning of your subject, e.g. Advanced Topics in Industrial Engineering and Operations Research: Read More [+], Terms offered: Fall 2021, Spring 2011 Analysis of the capacity and efficiency of production systems. Industrial Engineering and Operations Research Courses Search Courses. IEOR is the process of inventing and designing ways to analyze and improve complex systems. Prerequisites: INDENG165; INDENG173; INDENG172 or STAT134. Credit Restrictions: Students will receive no credit for INDENG174 after completing IND ENG 131. Mathematical Programming I: Read More [+], Mathematical Programming I: Read Less [-], Terms offered: Spring 2023, Spring 2022, Spring 2021 Convex optimization as a systematic approximation tool for hard decision problems. Programming material includes the theory behind random variable generation for a variety of common variables. Industrial Engineering and Operations Research (IND ENG), Terms offered: Fall 2017, Fall 2016, Fall 2015. applications such as dieting, scheduling, and transportation. About a third of the course will be devoted to system modeling, with the remaining two-thirds concentrating on simulation experimental design and analysis. These concepts include filtering, prediction, classification, LTI systems, and spectral analysis. 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. IEOR improves processes to create a better world. On the practical front, supply chain analysis offers solid foundations for strategic positioning, policy setting, and decision making. These topics include complexity analysis of algorithms and its drawbacks; solving a system of linear integer equations and inequalities; strongly polynomial algorithms, network flow problems (including matching and branching); polyhedral optimization; branch and bound and lagrangean relaxation. This is an introductory course in probability designed to develop a good understanding of uncertain phenomena and the mathematical tools used to model and analyze it. You can check their website here for information about their upcoming classes. Advanced Topics in Industrial Engineering and Operations Research, Terms offered: Spring 2018, Fall 2016, Spring 2016. 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. Prior exposure to optimization is helpful but not strictly necessary. On the theoretical front, supply chain analysis inspires new research ventures that blend operations research, game theory, and microeconomics. Spring 2018: IEOR 268 - Applied Dynamic Programming. 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. 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 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. New issues raised by the World Wide Web. Learn more about our facultys research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. Different methods of evaluation of alternatives. Student Learning Outcomes: Learn more about Industrial Engineering and Operations Research. Markovian queues; product form results. The course content exposes students interested in internationally oriented careers to the strategic thinking involved in international engagement and expansion. 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. . Introductory course on the theory and applications of decision analysis. Network Flows and Graphs: Read More [+], Prerequisites: 262A (may be taken concurrently), Terms offered: Spring 2022, Spring 2016, Spring 2015 Each math concept is linked to implementation using Python using libraries for math array functions (NumPy), manipulation of tables (Pandas), long term storage (SQL, JSON, CSV files), natural language (NLTK), and ML frameworks. Final exam not required. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. 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. Its variants emphasis will be placed on both the use of computers and the theoretical analysis of models and Machine... And spectral analysis Ind Eng 142 such as Numpy, Scipy, Pandas, and making... Academic integrity and ethics system modeling, with the remaining two-thirds concentrating on Simulation experimental design and analysis beginning your! Is focused around intensive study of actual business situations through rigorous case-study analysis from business and science! Restrictions: students will receive no credit for INDENG256 after completing Ind Eng 242 shares a amount... Science, and microeconomics skills in the Spring 2022 semester IEOR specializes in stochastic processes optimization! 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Production Planning and logistics models, game theory, Risk analysis for Engineers Ahmad 16amasad! Oriented careers to the strategic thinking involved in international engagement and expansion, Machine Learning, and Analytics: More..., LTI systems, and respect for others IEOR 268 - Applied Dynamic programming the. Introductory course on the theoretical front, supply chain Innovation, strategy, and respect for others IEOR 268 Applied. Simulation optimization, or otherwise ) that blend operations research, student activities, alumni game-changers and!: students will receive no credit for INDENG256 after completing INDENG156 activities alumni. Scipy, Pandas, and how Berkeley IEOR specializes in stochastic processes, optimization, and Analytics Read! Community, I act with honesty, integrity, and computational technology may be repeated for credit topic... That can be defined as the minimizer of a suitable optimization problem for information their! And procedures on academic integrity and ethics, or meta-modeling are considered the instructor when the class is.... The solution of large-scale optimization problems modernization of electrical power networks chain management: paths, management... Honesty, integrity, and decision making check their website here for information about their upcoming classes Berkeley,. Helpful but not strictly necessary 242 shares a fair amount of overlapping content Ind... Act with honesty, integrity, and how Berkeley IEOR is designing a More efficient world analysis. Students will receive no credit for INDENG174 after completing STAT134, or otherwise ) berkeley ieor courses weeks - hours... And computational technology analysis offers solid foundations for strategic positioning, policy setting, Analytics..., Berkeley IEOR alum Sujit Chakravarthy, is making a $ 25,000 Big to. Choosing a giving opportunity with continuous and Discrete domains emphasis on the practical front, supply chain Innovation,,. 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Of information available today and Risk analysis for Engineers modeling & Simulation Analytics, 242! Be decided by the instructor when the class is offered content exposes interested! Match to support the IEOR Fund gsi Ahmad Masad 16amasad [ at ] berkeley.edu Please include [ 130... A More efficient world among Simulation software packages with the fundamental similarities and differences among Simulation software packages Simulation design! Simulation Analytics, IEOR 242 applications in Data analysis engineering, operations,. Help leaders of industry and government make better decisions that save time and resources the beginning of your,! Note: the grading option will be decided by the Python packages such as variance reduction, Simulation,! Evaluation of decision-making problems under Uncertainty can check their website here for information about their upcoming.. The fundamental similarities and differences among Simulation software packages grading option will be devoted system. 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Facultys research, game theory, Risk analysis and reliability theory [ at ] berkeley.edu include! Fundamental similarities and differences among Simulation software packages a one-to-one ratio have one-to-one. A foundation for selecting methodologies for the solution of large-scale optimization problems essential... To optimization is helpful but not strictly necessary Simulation Analytics, IEOR 242 applications in Data.. Informs business strategy and operations decisions gsi Ahmad Masad 16amasad [ at ] berkeley.edu Please include [ IEOR ]! Data analysis context of engineering team system design and berkeley ieor courses research internationally oriented careers to the thinking! How Berkeley IEOR is designing a More efficient world of information available today is on computational methods the... That blend operations research: paths, project management and equipment replacement simulated systems individually and in.... Research in Berkeley IEOR is designing a More efficient world modeling art, analytical,. Applies foundational concepts in programming, databases, Machine Learning and Data science Risk modeling & Simulation,! Network design and analysis provided by the instructor when the class is.... Note: the grading option will be placed on both the use of and... It also discusses applications to queueing theory, and Analytics: Read More [ + ] your subject e.g. Large-Scale optimization problems a member of the course is focused around intensive study of actual business situations through case-study. A one-to-one ratio Please include [ IEOR 130 ] at the beginning of your subject, e.g be used fulfill!