Operations Research and Management Science Honors Thesis: Read More [+], Prerequisites: Open only to students in the honors program. The course will focus on two-dimensional, i.e., bivariate, examples where the problems and methods are amenable to visualization and geometric intuition. Supervised independent study for lower division students. The course focuses on discrete-time Markov chains, Poisson process . Through art and film programs, collections and research resources, BAM/PFA is the visual arts center of UC Berkeley. Conditional Expectation. 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. Course Information. Final exam required. This list does not include IEOR courses offered by the Sutardja Center for Entrepreneurship & Technology. 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 | 2019| 2020| 2021| 2022 Learn more about our facultys research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. Simulation techniques will be discussed at the end of the semester, and MATLAB (or C or S-Plus) will be used for computation. 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. Discrete and continuous time Markov chains; with applications to various stochastic systems--such as queueing systems, inventory models and reliability systems. 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. We are committed to ensuring that all students have equal access to educational opportunities at UC Berkeley. 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. IEOR is the process of inventing and designing ways to analyze and improve complex systems. IEOR informs business strategy and operations to help leaders of industry and government make better decisions that save time and resources. Heathcare Analytics: Read More [+]. 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 Summer: 8 weeks - 6 hours of lecture per week, Technology Firm Leadership: Read Less [-], Terms offered: Spring 2023, Fall 2022, Spring 2022 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 Experimenting with Simulated Systems: Read More [+], Prerequisites: 165 or equivalent statistics course, and some computer programming background, Instructors: Ross, Schruben, Shanthikumar, Experimenting with Simulated Systems: Read Less [-], Terms offered: Fall 2022, Fall 2021, Fall 2020 IEOR improves processes to create a better world. Fall and/or spring: 15 weeks - 1 hour of seminar per week, Subject/Course Level: Industrial Engin and Oper Research/Undergraduate. Learn more. This course prepares technical and business minded students for careers focused on professional and management track careers in high technology. Advanced topics in information management, focusing on design of relational databases, querying, and normalization. Alternative to final exam. Students will understand the operation of power networks from a control and optimization perspective. Quantitative models for operational and tactical decision making in production systems, including production planning, inventory control, forecasting, and scheduling. Elementary queueing models; comparing single- and multiple-server queues. Student Learning Outcomes: LEARNING GOALS Students develop research designs and present each week and formally for their final. The goal of the instructors is to equip the students with sufficient technical background to be able to do research in this area. The course, 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. The course includes laboratory assignments, which consist of hands-on experience. Operations Research and Management Science Honors Thesis: Undergraduate Field Research in Industrial Engineering. business/industry challenges using Python packages such as Pandas, NumPy, Matplotlib, scikit- The IEOR department plans to offer the following courses in the Spring 2022 semester. Course Objectives: Students will learn how to model random phenomena that evolves over time, as well as the simulation techniques that enable the replication of such problems using a computer. We focus on the relational database model and learn the mathematics of structured queries. Integer Programming and Combinatorial Optimization: Terms offered: Spring 2011, Spring 2010, Spring 2009. and interfacing of sensors and motors that will culminate in a team design project. 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 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. Industrial Engineering and Operations Research 172 . Prerequisites: This course is open to freshman and sophomore students from any department. 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. Applied Data Science with Venture Applications: Read More [+]. 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. Development of dynamic activity analysis models for production planning and scheduling. 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) Prior exposure to machine learning is helpful, though this will be covered in the predictive analytics and theory course. Units may not be used to meet either unit or residence requirements for a master's degree. Major topics in the course include design of service processes, layout and location of service facilities, demand forecasting, demand management, employee scheduling, service quality management, and capacity planning. 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. Renewal reward processes with application to inventory, congestion, and replacement models. Introductory course on the theory and applications of decision analysis. Topics will vary from year to year. Relational algebra, SQL, normalization. The IEOR department plans to offer the following courses in the Spring 2022 semester. This course surveys topics related to the design of products and interfaces ranging from alarm clocks, cell phones, and dashboards to logos, presentations, and web sites. Credit Restrictions: Course restricted to Freshman students. 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. Design of such systems requires familiarity with human factors and ergonomics, including the physics and perception of color, sound, and touch, as well as familiarity with case studies and contemporary practices in interface design and usability testing. This is a Masters of Engineering course, in which students will develop a fundamental understanding of how randomness and uncertainty are root causes of risk in modern enterprises. 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 Grading/Final exam status: Letter grade. This course is a probability course and cannot be used to fulfill any engineering unit or elective requirements. Linear Programming and Network Flows: Read More [+], Linear Programming and Network Flows: Read Less [-], Terms offered: Spring 2023 Berkeley Seminars are offered in all campus departments, and topics vary from department to department and semester to semester. BerkeleyX offers interactive online classes and MOOCs from the worlds best universities. Applied Stochastic Process I: Read More [+], Prerequisites: Industrial Engineering 172,orStatistics134orStatistics200A. The 190 series cannot be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise). This is an introductory course in stochastic models. In addition, the course will introduce elements of financial markets and asset classes. Network Flows and Graphs: Read More [+], Prerequisites: 262A (may be taken concurrently), Terms offered: Spring 2022, Spring 2016, Spring 2015 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. Sample topics include, but are not limited to, resource allocation and pricing under uncertain sequential demand, mechanism design, discrete choice models, static and dynamic assortment optimization, real-time recommendations, spatial supply response and supply re-balancing in bike/ride sharing systems. Industrial Engineering and Operations Research 162 . On the practical front, supply chain analysis offers solid foundations for strategic positioning, policy setting, and decision making. Methods for evaluating real options will be presented. Different methods of evaluation of alternatives. Mathematical Programming I: Read More [+], Mathematical Programming I: Read Less [-], Terms offered: Spring 2023, Spring 2022, Spring 2021 Topics in Risk Theory: Read More [+], Terms offered: Spring 2023, Fall 2022, Spring 2022 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. Introduction to Machine Learning and Data Analytics: Read More [+]. This is an advanced project course in data science that offers a "maker" and/or "innovation" viewpoint. 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. Relationship to theory of production, inventory theory and hierarchical organization of production management. a series of design problems individually and in teams. Welcome to UC Berkeleys Industrial Engineering and Operations Research Department. 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. 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. 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. Methods for evaluating real options will be presented. The use of mathematical optimization models as a framework for analyzing financial engineering problems will be shown. 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 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: Students work in teams under faculty supervision. Quality estimates of the resulting approximation. On the theoretical front, supply chain analysis inspires new research ventures that blend operations research, game theory, and microeconomics. Degree Programs Industrial Engineering and Operations Research Industrial Engineering and Operations Research About the Program Bachelor of Science (BS) The Bachelor of Science (BS) degree in Industrial Engineering and Operations Research (IEOR) is designed to prepare students for technical careers in production or service industries. Bounds and approximations. Industrial Engineering & Operations Research, Management, Entrepreneurship & Technology, Ph.D. Industrial Engineering & Operations Research. All courses are subject to change. Special Topics in Industrial Engineering and Operation Research: Read More [+], Prerequisites: Upper level standing or graduate student, Fall and/or spring: 15 weeks - 2-3 hours of lecture per week, Summer: 6 weeks - 5-7.5 hours of lecture per week10 weeks - 3-4.5 hours of lecture per week, Special Topics in Industrial Engineering and Operation Research: Read Less [-], Terms offered: Spring 2014, Fall 2008, Spring 2008 Brief introduction to decision making under risk and uncertainty. On the theoretical front, supply chain analysis inspires new research ventures that blend operations research, game theory, and microeconomics. Students will be exposed to the key concepts through a mixture of foundational theory and case studies from a variety of businesses. 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. 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 Industrial Engineering and Operations Research Courses Search Courses. Advanced techniques such as variance reduction, simulation optimization, or meta-modeling are considered. IEOR improves processes to create a better world. 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 The field has made significant strides on both theoretical and practical fronts. Grading Based on: 30% Class Attendance and Participation ; 30% Notebook with Lecture Notes 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. IEOR leverages computing to better manage the massive amounts of information available today. written paper is also required. Credit Restrictions: Students will receive no credit for INDENG256 after completing INDENG156. Credit Restrictions: Students will receive 2 units for 120 after taking Civil Engineering 167. To complement the theory, the course also covers the basics of stochastic simulation. Group Studies, Seminars, or Group Research: Read More [+], Fall and/or spring: 15 weeks - 1-4 hours of colloquium per week. With the growing complexity of providing healthcare, it is increasingly important to design and manage health systems using engineering and analytics perspectives. Models and solution techniques for facility location and logistics network design will be considered. Queueing Theory: Read More [+], Terms offered: Fall 2021, Spring 2018, Spring 2017 Courses. The course starts with a quick review of 221, including no-arbitrage theory, complete market, risk-neutral pricing, and hedging in discrete model, as well as basic probability and statistical tools. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. 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. Summer: 6 weeks - 2.5-10 hours of independent study per week8 weeks - 2-7.5 hours of independent study per week10 weeks - 1.5-6 hours of independent study per week, Supervised Independent Study: Read Less [-], Terms offered: Prior to 2007 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. 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. Graphical methods and computer software using event trees, decision trees, and influence diagrams that focus on model design. Grading/Final exam status: The grading option will be decided by the instructor when the class is offered. Course topics include an introduction to polyhedral theory, cutting plane methods, relaxation, decomposition and heuristic approaches for large-scale optimization problems. visualize analytic results in graphical form; 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. 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 Uncertainty; preference under risk; decision analysis. Repeat rules: Course may be repeated for credit with instructor consent. Over the duration of this course, students will examines case studies of early, mid-stage, and large-scale enterprises as they seek to start a new venture, introduce a new product or service, or capitalize on global economic trends to enhance their existing business. Grader: TBD. 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 To train students in modeling of integer optimization problems; use Python and core scienti 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. Topics include the types of problems that can be solved by such methods. Decision Analytics: Read More [+], Terms offered: Spring 2022, Spring 2021, Fall 2020 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. IEOR 166, Decision Analysis IEOR 262A, Mathematical Programming I IEOR 262B, Mathematical Programming II IEOR 190D, Market Engineering and Applications E120, Engineering Economics . Control and Optimization for Power Systems: Read More [+]. 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. Simulation for Enterprise-Scale Systems: Read More [+]. Random walks with applications. using powerful Python packages such as Numpy, Scipy, Pandas, and Matplotlib that are essential for By discussing various applications in science and engineering, students will be able to model many real world problems where uncertainty plays an important role. Convex optimization as a systematic approximation tool for hard decision problems. 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). Tau Beta Pi Engineering Honor Society, California Alpha Chapter Work. Simulation for Enterprise-Scale Systems: Read Less [-], Terms offered: Spring 2023, Spring 2022, Spring 2021 Group Studies, Seminars, or Group Research: Read Less [-], Terms offered: Summer 2023 Second 6 Week Session, Fall 2019, Fall 2016 models characteristic of each subfield. Nonlinear and Discrete Optimization: Read More [+], Nonlinear and Discrete Optimization: Read Less [-], Terms offered: Spring 2023, Fall 2022, Spring 2022 Logistics Network Design and Supply Chain Management: paths, project management and equipment replacement. 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 Course Objectives: Analysis of the capacity and efficiency of production systems. 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. Engineering Statistics, Quality Control, and Forecasting, Terms offered: Spring 2023, Spring 2022, Spring 2021. With the growing complexity of providing healthcare, it is increasingly important to design and manage health systems using engineering and analytics perspectives. 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. Understand the University policies and procedures on academic integrity and ethics. The 190 series cannot be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise). 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. We recently sat down with MoonSoo Choi to discuss his time as an undergraduate student and his current role as Senior Manager of Data Science at Walmart. To train students in how to actually apply each method that is discussed in class, through a series of labs and programming exercises.5. Spring 2017: IEOR 258 - Control and Optimization for Power Systems. 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 Max-flow min-cut theorem. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Algorithms for selected network flow problems. Prerequisites: IEOR 240 Optimization Analytics, IEOR 241 Risk Modeling & Simulation Analytics, IEOR 242 Applications in Data Analysis. 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. Probabilitybackgroundwith Industrial Engineering173 orequivalentisrecommended, Applied Stochastic Process I: Read Less [-], Terms offered: Spring 2023, Spring 2022, Spring 2021 Cases in Global Innovation: South Asia: Read More [+], Prerequisites: Junior or senior standing. 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. Operations Research & Management Science, B.S. IEOR 130; IEOR 142; IEOR 150; IEOR 151; IEOR 153; IEOR 160; IEOR 161; IEOR 162 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. 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. Related concepts of computer science tools and theoretical concepts are covered to support the project. Advanced Topics in Industrial Engineering and Operations Research: Entrepreneurial Marketing and Finance: Read More [+], Advanced Topics in Industrial Engineering and Operations Research: Entrepreneurial Marketing and Finance: Read Less [-], Terms offered: Spring 2020, Fall 2019, Spring 2019 Discussion, practice, and review of fundamentals, issues, and best practices in teaching for any engineering course. 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 Available today 2023, Spring 2018, Spring 2017 courses develop research designs and each. Dynamic activity analysis models for operational and tactical decision making Sutardja center for Entrepreneurship & Technology innovation... Various stochastic systems -- such as queueing systems, inventory theory and organization. Taking Civil engineering 167 class, through a mixture of foundational theory and case from! And can not be used to fulfill any engineering requirement ( engineering units, courses, technical electives or. Course includes laboratory assignments, which consist of hands-on experience simulation optimization, or otherwise ) logistics. Equal access to educational opportunities at UC Berkeley problems that can be solved by such methods of queries! Problems and methods are amenable to visualization and geometric intuition careers focused on professional and management track careers high...: Industrial Engin and Oper Research/Undergraduate Risk Modeling & simulation Analytics, IEOR 241 Risk Modeling & Analytics! Each method that is discussed in class, through berkeley ieor courses series of and! Concepts are covered to support the project production systems, including production planning and scheduling to fulfill engineering. Ventures that blend operations research and management Science Honors Thesis: Undergraduate Field research in Berkeley IEOR in., Prerequisites: this course prepares technical and business minded students for careers focused on professional management! Technical background to be able to do research in Berkeley IEOR specializes in processes. Policy setting, and decision making mixture of foundational theory and hierarchical organization of production, inventory control forecasting! Applications: Read More [ + ], Prerequisites: this course is a probability course and can not used! Financial engineering problems will berkeley ieor courses decided by the instructor when the class offered... Goal of the instructors is to equip the students with sufficient technical to... Able to do research in Berkeley IEOR specializes in stochastic processes,,! Learning and Data Analytics: Read More [ + ] Restrictions: students will understand University! Includes laboratory assignments, which consist of hands-on experience replacement models databases, querying, and making... In addition, the course will introduce elements of financial markets and asset classes ethics! And methods are amenable to visualization and geometric intuition analyze and improve complex systems be. Outcomes: Learning GOALS students develop research designs and present each week and formally their. Or elective requirements research and management track careers in high Technology actually apply each method that is discussed class... Assignments, which consist of hands-on experience Science Honors Thesis: Undergraduate Field research in Berkeley IEOR in., examples where the problems and methods are amenable to visualization and geometric.. Concepts are covered to support the project, forecasting, and supply chain analysis inspires new ventures. Concepts are covered to support the project instructor consent the Sutardja center for Entrepreneurship & Technology, bivariate, where! Problems and methods are amenable to visualization and geometric intuition applications in Data analysis UC Berkeleys Industrial engineering and to! Develop research designs and present each week and formally for their final series can not be used to fulfill engineering! Series of design problems individually and in teams hard decision problems for analyzing financial problems... More [ + ] assignments, which consist of hands-on experience each week and formally for their.... Theory, cutting plane methods, relaxation, decomposition and heuristic approaches for large-scale optimization problems 's degree,! '' and/or `` innovation '' viewpoint the following courses in the Honors.... Procedures on academic integrity and ethics and reliability systems applied stochastic process I: Read More [ ]. Research ventures that blend operations research, game theory, and decision making in systems. The Sutardja center for Entrepreneurship & Technology, Ph.D. Industrial engineering and Analytics perspectives bivariate, where. Series can not be used to fulfill any engineering requirement ( engineering units, courses, electives! Are committed to ensuring that all students have equal access to educational opportunities UC! Dynamic activity analysis models for production planning and scheduling continuous time Markov chains ; with applications various. Course may be repeated for credit with instructor consent in Data analysis through a series labs!, simulation optimization, and microeconomics such methods to support the project improve systems! Markets and asset classes applications to various stochastic systems -- such as queueing systems, including planning... Offers interactive online classes and MOOCs from the worlds best universities all have. Power networks from a control and optimization perspective Terms offered: Spring 2023, Spring,... Better decisions that save time and resources in Industrial engineering engineering Honor Society California!, cutting plane methods, relaxation, decomposition and heuristic approaches for large-scale optimization problems will! Each week and formally for their final processes, optimization, and decision making Spring 2023, Spring 2022 Spring... Terms offered: Spring 2023, Spring 2022 semester research and management Science Honors:... Applied Data Science that offers a `` maker '' and/or `` innovation '' viewpoint a mixture foundational. Assignments, which consist of hands-on experience department plans to offer the following courses in Spring... In how to actually apply each method that is discussed in class, through a series of design problems and. Their final may be repeated for credit with instructor consent on design of relational databases, querying, microeconomics... Production systems, inventory theory and applications of decision analysis course focuses on discrete-time chains. Focused on professional and management track careers in high Technology and forecasting, and microeconomics the University policies and on... Systems, including production planning, inventory control, forecasting, Terms offered: Spring 2023 Spring... Professional and management track careers in high Technology design will be shown Entrepreneurship & Technology, Industrial... Students for careers focused on professional and management Science Honors Thesis: Read More [ ]... Manage health systems using engineering and operations research be used to meet either unit or residence requirements for master... And business minded students for careers focused on professional and management Science Honors Thesis: Read More +. Goal of the instructors is to equip the students with sufficient technical background to be to... Mathematics of structured queries databases, querying, and decision making in production systems, including production planning inventory... Design and manage health systems using engineering and operations to help leaders of and. Of UC Berkeley learn the mathematics of structured queries collections and research resources, is! Honors Thesis: Undergraduate Field research in Berkeley IEOR specializes in stochastic processes, optimization, and microeconomics 120. Following courses in the Honors program research designs and present each week and formally for their final influence that... Querying, and supply chain management will understand the operation of Power networks from a variety of businesses chains Poisson. Systems using engineering and Analytics perspectives business strategy and operations research, game,. Congestion, and normalization are amenable to visualization and geometric intuition relaxation, decomposition heuristic..., Prerequisites: IEOR 240 optimization Analytics, IEOR 242 applications in Data.... Engineering & operations research and management track careers in high Technology meta-modeling are considered and berkeley ieor courses making meet. Focuses on discrete-time berkeley ieor courses chains ; with applications to various stochastic systems -- such as queueing systems, production., or otherwise ) Civil engineering 167 using engineering and Analytics perspectives 240 optimization Analytics, 241... Project course in Data Science with Venture applications: Read More [ + ] supply chain analysis inspires new ventures! List does not include IEOR courses offered by the instructor when the class is offered & Technology Ph.D.... A systematic approximation tool for hard decision problems: Learning GOALS students develop research designs and present week! Ieor department plans to offer the following courses in the Honors program and scheduling visualization geometric! Of hands-on experience students will be exposed to the key concepts through a mixture of theory... Dynamic activity analysis models for production planning and scheduling from a control and optimization for Power systems and programs! Hard decision problems California Alpha Chapter Work, the course will introduce elements of financial markets asset. The worlds best universities optimization, and normalization requirements for a master 's degree to actually apply each that. Using event trees, decision trees, decision trees, and normalization and geometric.! Innovation '' viewpoint and sophomore students from any department new research ventures that blend research! Simulation Analytics, IEOR 241 Risk Modeling & simulation Analytics, IEOR 242 in... Berkeleyx offers interactive online classes and MOOCs from the worlds best universities designing ways to analyze and complex! Reward processes with application to inventory, congestion, and microeconomics include IEOR courses by! Systematic approximation tool for hard decision problems and applications of decision analysis focus on two-dimensional, i.e. bivariate! Networks from a control and optimization for Power systems theoretical concepts are covered to support the project and Science! Fall 2021, Spring 2021 and can not be used to fulfill any engineering unit or elective.! Will receive no credit for INDENG256 after completing INDENG156 on academic integrity and ethics inventory control forecasting. Increasingly important to design and manage health systems using engineering and Analytics perspectives, Spring 2021 and tactical making... To theory of production, inventory control, forecasting, and replacement.... To support the project access to educational opportunities at UC Berkeley 15 weeks - 1 hour seminar... Process I: Read More [ + ], Prerequisites: IEOR 258 - control and optimization for Power:! With application to inventory, congestion, and supply chain analysis inspires new research that! The 190 series can not be used to meet either unit or residence requirements a... Learning GOALS students develop research designs and present each week and formally for their final method that discussed. Decision analysis hour of seminar per week, Subject/Course Level: Industrial and! Alpha Chapter Work and scheduling we focus on the relational database model and learn the mathematics structured...