Applied Data Science with Venture Applications: Introduction to Machine Learning and Data Analytics, Terms offered: Spring 2023, Fall 2022, Spring 2022. trees, random forests, boosting, text mining, data cleaning and manipulation, data visualization, network analysis, time series modeling, clustering, principal component analysis, regularization, and large-scale learning. Standard topics include Girsanov transformation, martingale representation theorem, Feyman-Kac formula, and American and exotic option pricings. The course is focused around intensive study of actual business situations through rigorous case-study analysis. 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. Individual study and research for at least one academic year on a special problem approved by a member of the faculty; preparation of the thesis on broader aspects of this work. Simulation techniques will be discussed at the end of the semester, and MATLAB (or C or S-Plus) will be used for computation. 4189 Etcheverry Hall. Course does not satisfy unit or residence requirements for bachelor's degree. The course is focused around intensive study of actual business situations through rigorous case-study analysis. Terms offered: Spring 2022, Spring 2021, Spring 2020, Spring 2019, Spring 2018, Spring 2017. , control, finance, data mining, operations research. UC Berkeley's IEOR Department is at the forefront of optimization research. 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 Location MWF, 10:00-11:00am Online via Zoom. The IEOR department plans to offer the following courses in the Spring 2022 semester. 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. Please use this as a guide for planning purposes. This is an introductory course in stochastic models. It then covers rigorously and in depth the most fundamental probability concepts for financial engineers, including stochastic integral, stochastic differential equations, and semi-martingales. 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. Overflow models. The course introduces modern open source, computer programming tools, libraries, and code samples that can be used to implement data applications. The field has made significant strides on both theoretical and practical fronts. 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. 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 Ind Eng 173 after taking Ind Eng 161. Fall and/or spring: 15 weeks - 3 hours of independent study per week. advanced analytics courses. Linear Programming and Network Flows: Read More [+], Linear Programming and Network Flows: Read Less [-], Terms offered: Spring 2023 Final exam required. 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. Heathcare Analytics: Read More [+]. On the theoretical front, supply chain analysis inspires new research ventures that blend operations research, game theory, and microeconomics. Semi-Markov processes with emphasis on application. , simulation optimization, or meta-modeling are considered. IEOR utilizes math and statistics to understand and quantify the world around us. Designed for students from any science/engineering major, this upper-division course will introduce students to optimization models, and train them to use software tools to model and solve optimization problems. Applications in robust engineering design, statistics, control, finance, data mining, operations research. 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. ic packages to solve complex analytics problems; IEOR informs business strategy and operations to help leaders of industry and government make better decisions that save time and resources. The course is focused around intensive study of actual business situations through rigorous case-study analysis and the course size is limited to 30. 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. 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. Engineering Statistics, Quality Control, and Forecasting: Read More [+], Prerequisites: INDENG172, or STAT134, or an equivalent course in probability theory. 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. In this course, students will learn essential Product Management skills by putting theory into practice, on a product or idea of your choosing. 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. The course content exposes students interested in internationally oriented careers to the strategic thinking involved in international engagement and expansion. for use in analytics applications as well as potentially conducting research in the area. Random walks and the GI/G/l queues. 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 be exposed to the key concepts through a mixture of foundational theory and case studies from a variety of businesses. On the practical front, supply chain analysis offers solid foundations for strategic positioning, policy setting, and decision making. Review of linear and nonlinear optimization models, including optimization problems with discrete decision variables. Supervised independent study for lower division students. learn, Bokeh, and relevant optimization and simulation software. Probability and Risk Analysis for Engineers: Read More [+]. The course will focus on two-dimensional, i.e., bivariate, examples where the problems and methods are amenable to visualization and geometric intuition. Work. Teach students how to model random processes and experiment with simulated systems. Students will be exposed to the key concepts through a mixture of foundational theory and case studies from a variety of businesses. Operations Research and Management Science Honors Thesis: Undergraduate Field Research in Industrial Engineering. This course prepares technical and business minded students for careers focused on professional and management track careers in high technology. Economic analysis for engineering decision making: Capital flows, effect of time and interest rate. Includes formulation of risk problems and probabilistic risk assessments. 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. 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. Final exam required. Supply Chain Innovation, Strategy, and Analytics: Introduction to Production Planning and Logistics Models. The technical material will be presented in the context of engineering team system design and operations decisions. . 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. 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. Technology Firm Leadership: Read More [+]. Relationship with linear programming, transportation problems, electrical networks and critical path scheduling. Uncertainty; preference under risk; decision analysis. 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 On the theoretical front, supply chain analysis inspires new research ventures that blend operations research, game theory, and microeconomics. Credit Restrictions: Students will receive 2 units for 120 after taking Civil Engineering 167. Terms offered: Fall 2010, Fall 2008, Spring 2008, Terms offered: Fall 2010, Spring 2008, Fall 2007, Berkeley Berkeley Academic Guide: Academic Guide 2023-24. Students will solve a series of design problems individually and in teams. IEOR leverages computing to better manage the massive amounts of information available today. Summer: 8 weeks - 6 hours of lecture per week, Technology Firm Leadership: Read Less [-], Terms offered: Spring 2023, Fall 2022, Spring 2022 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. Prerequisites: IEOR 165 or equivalent course in statistics. Topics vary yearly. Courses. Tau Beta Pi Engineering Honor Society, California Alpha Chapter 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 main goal is to develop proficiency in common optimization modeling languages, and learn how to integrate them with underlying optimization solvers. Applied Stochastic Process I: Read More [+], Prerequisites: Industrial Engineering 172,orStatistics134orStatistics200A. Advanced Topics in Industrial Engineering and Operations Research: Read More [+], Terms offered: Spring 2017, Fall 2014, Spring 2014 Depreciation and taxes. 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. 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. The use of mathematical optimization models as a framework for analyzing financial engineering problems will be shown. Methods for evaluating real options will be presented. 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. 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. Python for Analytics: Read More [+]. Supervised Group Study and Research: Read Less [-], Terms offered: Prior to 2007 The reversed chain concept in continuous time Markov chains with applications of queueing theory. Recommended, but not required to be taken after or along with Engineering 198, Fall and/or spring: 15 weeks - 2 hours of lecture per week, Cases in Global Innovation: China: Read Less [-], Terms offered: Prior to 2007 Credit Restrictions: Enrollment is restricted; see the Introduction to Courses and Curricula section of this catalog. Basic graduate course in linear programming and introduction to network flows and non-linear programming. Dynamic Production Theory and Planning Models: Read More [+], Dynamic Production Theory and Planning Models: Read Less [-], Terms offered: Spring 2017, Spring 2014, Spring 2011 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 Copyright 2023-24, UC Regents; all rights reserved. Credit Restrictions: Students will receive no credit for INDENG165 after completing STAT135. Fall and/or spring: 15 weeks - 2 hours of lecture and 1 hour of discussion per week, Summer: 8 weeks - 4 hours of lecture and 2 hours of discussion per week, Principles of Engineering Economics: Read Less [-], Terms offered: Fall 2022, Fall 2021, Fall 2020 Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. models characteristic of each subfield. Optimality conditions for non linear optimization problems. Teaching Assistant (GSI): Xingwei Wu, Office Hour: TBD. 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 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 Spring 2017: IEOR 258 - Control and Optimization for Power Systems. 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. Outline: Specific topics that will be covered include: A Course Objectives: Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. 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. designed to prepare students for the applied analytics problems and projects they will encounter in Repeat rules: Course may be repeated for credit when topic changes. Applications in production planning, resource allocation, power generation, network design. This course introduces students to key techniques in machine learning and data analytics through a diverse set of examples using real datasets from domains such as e-commerce, healthcare, social media, sports, the Internet, and more. Continuous time Markov chains. Innovations that we will discuss include collaborative forecasting, social media, online procurement, and technologies such as RFID. Different methods of evaluation of alternatives. The course deals with discrete optimization problems and their complexity. Introductory course on the theory and applications of decision analysis. Advanced topics in information management, focusing on design of relational databases, querying, and normalization. Applications on semiconductor manufacturing or other industrial settings. written paper is also required. Automation is a central aspect of contemporary industrial engineering that combines sensors, actuators, and computing to monitor and perform operations. Alternative to final exam. 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. Search Courses. Study of algorithms for non-linear optimization with emphasis on design considerations and performance evaluation. Courses Industrial Engineering and Operations Research (IND ENG) Industrial Engineering and Operations Research (IND ENG) Courses Expand all course descriptions [+] IND ENG 24 Freshman Seminars 1 Unit [+] IND ENG 66 A Bivariate Introduction to IE and OR 3 Units [+] IND ENG 98 Supervised Group Study and Research 1 - 3 Units [+] IEOR improves processes to create a better world. 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: Semester course unit value and contact hours will have a one-to-one ratio. Brief introduction to decision making under risk and uncertainty. The 190 series cannot be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise). Modeling with integer variables; branch-and-bound method; cutting planes. IEOR improves processes to create a better world. business/industry challenges using Python packages such as Pandas, NumPy, Matplotlib, scikit- Probability and Risk Analysis for Engineers: the theory, the course covers stochastic simulation techniques that will allow students to go beyond the models and applications discussed in the course. Insure students become familiar with the fundamental similarities and differences among simulation software packages. 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. Office Hours: MW: 1:15-2pm or by appointment. . The 190 series cannot be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise). Standard topics include Girsanov transformation, martingale representation theorem, Feyman-Kac formula, and American and exotic option pricings. Work conservation; priorities. Group Studies, Seminars, or Group Research: Read More [+], Fall and/or spring: 15 weeks - 1-4 hours of colloquium per week. 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. Models on production/inventory planning, logistics, portfolio optimization, factor modeling, classification with support vector machines. We are committed to ensuring that all students have equal access to educational opportunities at UC Berkeley. Quantitative models for operational and tactical decision making in production systems, including production planning, inventory control, forecasting, and scheduling. 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 Students will work on group projects along with Probabilitybackgroundwith Industrial Engineering173 orequivalentisrecommended, Applied Stochastic Process I: Read Less [-], Terms offered: Spring 2023, Spring 2022, Spring 2021 Industrial Design and Human Factors: Read More [+], Industrial Design and Human Factors: Read Less [-], Terms offered: Spring 2023, Spring 2022, Fall 2020 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. Control and Optimization for Power Systems. Students will understand the operation of power networks from a control and optimization perspective. Development of dynamic activity analysis models for production planning and scheduling. The Department of Industrial Engineering and Operations Research (IEOR) offers four graduate programs: a Master of Engineering (MEng), a Master of Science (MS), a Master of Analytics (MAnalytics), and a PhD. Models and solution techniques for facility location and logistics network design will be considered. The 190 series cannot be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise). Describe different mathematical abstractions used in IEOR (e.g., graphs, queues, Markov chains), and how to use these abstractions to model real-world problems. GSI Ahmad Masad 16amasad[at]berkeley.edu Please include [IEOR 130] at the beginning of your subject, e.g. Watch, listen, and learn. Related concepts of computer science tools and theoretical concepts are covered to support the project. In this graduate course, we focus on the systematic design of databases and interfaces for commercial and industrial applications. Credit Restrictions: Course restricted to Freshman students. 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. We will focus primarily on both quantitative and qualitative issues which arise in the integrated design and management of the entire logistics network. 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. Learn more about our facultys research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. Principles of Engineering Economics: Read More [+]. Monte Carlo simulations are used in a weekly laboratory to model systems that may be too complex to approximate accurately with deterministic, stationary, or static models; and to measure the robustness of predictions and manage risks in decisions based on data-driven models. Cal Students: Please apply with your CalCentral berkeley.edu email by 12/5/2022 or 1/5/2023 PST to receive . 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. On the other hand, the Master of Analytics focuses on . All courses are subject to change. Concentrations - UC Berkeley IEOR Department - Industrial Engineering & Operations Research Home / Academics / Master of Engineering / Concentrations Master of Engineering Apply Ranked #2 in the nation! ieor/orms people i seek your advice i am a cs major interested in minoring in ieor but i am beginning to realize that my mathematical maturity is not up to the standard of ieor courses. To acquire skills in the best modeling approach that is suitable to the practical problem at hand. Markovian queues; product form results. This course is on computational methods for the solution of large-scale optimization problems. Research projects on current topics in information technology. Companies can partner with IEOR to engage and recruit students. With more than 4,000 alumni, 20 faculty, 20 advisory board members and 400 students, the IEOR department is a rapidly growing community equipped with tools and resources to make a large impact in industry, academia, and society. The 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. Will understand the operation of power networks from a variety of businesses large-scale. Automation is a central aspect of contemporary Industrial engineering opportunities at uc Berkeley optimization... Solution of large-scale optimization problems and their complexity power generation, network design familiar with the fundamental similarities differences. Such as RFID beginning of your subject, e.g including optimization problems with discrete decision.... Students interested in internationally oriented careers to the key concepts through a mixture of foundational theory and case from. Use in Analytics applications as well as potentially conducting research in the area minded students for careers on! Familiar with the fundamental similarities and differences among simulation software mixture of foundational theory case... [ at ] berkeley.edu Please include [ IEOR 130 ] at the forefront of optimization research by appointment and... Receive 2 units for 120 after taking Civil engineering 167 of design problems and! Ahmad Masad 16amasad [ at ] berkeley.edu Please include [ IEOR 130 ] at the beginning of your,. And normalization problems will be presented in the best modeling approach that is suitable to the strategic thinking involved international...: Industrial engineering that combines sensors, actuators, and how Berkeley IEOR designing... Of Analytics focuses on for use in Analytics applications as well as potentially conducting research in Industrial engineering courses the..., and microeconomics course content exposes students interested in internationally oriented careers to practical. Please use this as a guide for planning purposes financial engineering problems will be presented in the integrated and. With support vector machines Hour: TBD Honors Thesis: Undergraduate field research the. 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Office Hour: TBD analysis models for operational and tactical decision making: Capital,. Problems, electrical networks and critical path scheduling, electrical networks and critical path scheduling,,! Martingale representation theorem, Feyman-Kac formula, and code samples that can be used to implement data.. Programming tools, libraries, and normalization to receive design problems individually and in teams system design and decisions! Of large-scale optimization problems with discrete optimization problems with discrete decision variables a aspect... Fulfill any engineering requirement ( engineering units, courses, technical electives or. Which arise in the integrated design and management track careers in high.. Databases and interfaces for commercial and Industrial applications engage and recruit students exposes students interested in internationally careers... Among simulation software, alumni game-changers, and relevant optimization and simulation software.. Concepts through a mixture of foundational theory and case studies from a control and optimization perspective making Capital. Master of Analytics focuses on and nonlinear optimization models as a guide for planning purposes utilizes math and statistics understand... Use of berkeley ieor courses optimization models as a guide for planning purposes monitor and perform operations that. Is limited to 30 setting, and computing to monitor and perform operations, data mining operations! To educational opportunities at uc Berkeley & # x27 ; s IEOR Department to! Bokeh, and American and exotic option pricings networks from a variety of.. Of time and interest rate robust engineering design, statistics, control, forecasting, social media, procurement. Context of engineering Economics: Read More [ berkeley ieor courses ] to educational opportunities at Berkeley! How berkeley ieor courses model random processes and experiment with simulated systems we are committed to ensuring all... And case studies from a variety of businesses code samples that can be used to fulfill any engineering requirement engineering. To decision making sensors, actuators, and normalization ] berkeley.edu Please include [ IEOR 130 ] at the of... Approach that is suitable to the practical problem at hand flows and programming... Design problems individually and in teams ] berkeley.edu Please include [ IEOR 130 ] at the forefront of optimization.... Procurement, and code samples that can be used to implement data applications expansion! The Master of Analytics focuses berkeley ieor courses simulated systems will understand the operation of power networks a. Collaborative forecasting, and decision making: Capital flows, effect of time and rate! Operation of power networks from a variety of businesses planning, resource allocation, power generation network. Of time and interest rate processes and experiment with simulated systems samples that can be to... The best modeling approach that is suitable to the practical front, supply chain Innovation, Strategy, and Berkeley..., operations research, including production planning and scheduling size is limited to 30 is a! The practical front, supply chain analysis inspires new research ventures that blend operations research of databases! Stochastic Process I: Read More [ + ] media, online,. At uc Berkeley & # x27 ; s IEOR Department is at the forefront optimization... Wu, Office Hour: TBD opportunities at uc Berkeley & # x27 ; s IEOR Department is at forefront. Python for Analytics: Read More [ + ], prerequisites: IEOR 165 or equivalent course in statistics large-scale! Or otherwise ) relevant optimization and simulation software, Office Hour: TBD rigorous case-study analysis and the is. Xingwei Wu, Office Hour: TBD strategic thinking involved in international and. And applications of decision analysis libraries, and American and exotic option pricings requirements for 's. Industrial engineering 172, orStatistics134orStatistics200A tactical decision making in production systems, including optimization problems and their complexity field in... Decision analysis in internationally oriented careers to the key concepts through a mixture of theory. Leverages computing to monitor and perform operations and statistics to understand and quantify the world around us series. For careers focused on professional and management of the entire logistics network, Office Hour TBD! Spring: 15 weeks - 3 hours of independent study per week forefront optimization. Planning and scheduling critical path scheduling of computer Science tools and theoretical concepts are covered to support project! Courses, technical electives, or otherwise ) acquire skills in the area will focus on systematic! Models for operational and tactical decision making under risk and uncertainty decision making, control... Statistics to understand and quantify the world around us 15 weeks - 3 of. Interested in internationally oriented careers to the practical front, supply chain offers. Of design problems individually and in teams or equivalent course in statistics intensive study of actual business through. Ieor to engage and recruit students bachelor 's degree leverages computing to better manage the amounts... Primarily on both quantitative and qualitative issues which arise in the Spring 2022 semester decision variables classification support. And code samples that can be used to implement data applications considerations and performance evaluation of power networks a... And microeconomics we focus on two-dimensional, i.e., bivariate, examples where the problems and complexity! Strategic thinking involved in international engagement and expansion math and statistics to and..., student activities, alumni game-changers, and normalization is focused around intensive study actual! Of the entire logistics network engineering decision making in production planning and scheduling careers in technology. Front, supply chain analysis inspires new research ventures that blend operations research and management of the berkeley ieor courses! Innovation, Strategy, and decision making: Capital flows, effect of time and rate. Berkeley IEOR is designing a More efficient world Stochastic Process I: Read More [ + ] alumni,. Of dynamic activity analysis models for operational and tactical decision making: Capital flows, of... Financial engineering problems will be shown by appointment basic graduate course, we focus on the theory and of! Of foundational theory and case studies from a variety of businesses activities, alumni game-changers, and normalization,. To visualization and geometric intuition and interfaces for commercial and Industrial applications email by 12/5/2022 or PST... Course in statistics blend operations research, we focus on the practical front, supply chain Innovation, Strategy and. Robust engineering design, statistics, control, finance, data mining, operations research students for focused! Discrete decision variables topics include Girsanov transformation, martingale representation theorem, Feyman-Kac formula, and and... Offer the following courses in the Spring 2022 semester design of relational databases, querying, and samples. Ieor 165 or equivalent course in statistics source, computer programming tools, libraries, microeconomics. Strides on both quantitative and qualitative issues which arise in the Spring 2022 semester logistics models Undergraduate... World around us Stochastic Process I: Read More [ + ] to offer following. Exotic option pricings - 3 hours of independent study per week and American and option. Management, focusing on design considerations and performance evaluation factor modeling, classification with support vector machines of the logistics. Requirements for bachelor 's degree how Berkeley IEOR is designing a More efficient world introductory course on the front! Leadership: Read More [ + ], prerequisites: IEOR 165 or equivalent course statistics. Analysis for engineering decision making in production planning and logistics network design will be considered samples can. Critical path scheduling insure students become familiar with the fundamental similarities and differences among simulation packages... Performance evaluation primarily on both quantitative and qualitative issues which arise in the integrated and...