Please use this as a guide for planning purposes. 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 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. 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. 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 Credit Restrictions: Students will receive 2 units for 120 after taking Civil Engineering 167. Beginning with the Fall 2021 application cycle, rising sophomores will also be eligible to apply. 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. We are committed to ensuring that all students have equal access to educational opportunities at UC Berkeley. 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. models characteristic of each subfield. GSI Ahmad Masad 16amasad[at]berkeley.edu Please include [IEOR 130] at the beginning of your subject, e.g. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. They will also learn about the interaction between operation and electricity market. All courses are subject to change. Directed Group Studies for Advanced Undergraduates: Scipy, Pandas, and Matplotlib that are essential for, Terms offered: Spring 2017, Spring 2016, Spring 2015. options. 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 Design and development of effective industrial production planning systems. This course addresses modeling and algorithms for optimization of linear constrained optimization problems. 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. Terms offered: Spring 2022, Spring 2021, Fall 2020. strength of Linear Programming relaxations. Prerequisites: This course is open to freshman and sophomore students from any department. Make a secure online gift by choosing a giving opportunity. Course Information. Minimum cost flows. 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. Credit Restrictions: Students will receive no credit for INDENG172 after completing STAT134, or STAT 140. Topics in Risk Theory: Read More [+], Terms offered: Spring 2023, Fall 2022, Spring 2022 Fall and/or spring: 15 weeks - 2 hours of lecture and 2 hours of discussion per week, Introduction to Stochastic Processes: Read Less [-], Terms offered: Fall 2022, Fall 2021, Fall 2020 Course Objectives: Provide an introduction to the field of Industrial Engineering and Operations Research through a series of lectures. IEOR 166, Decision Analysis IEOR 262A, Mathematical Programming I IEOR 262B, Mathematical Programming II IEOR 190D, Market Engineering and Applications E120, Engineering Economics . 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 With the growing complexity of providing healthcare, it is increasingly important to design and manage health systems using engineering and analytics perspectives. 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. Integer Optimization: Read More [+]. Mathematical Programming II: Read More [+], Mathematical Programming II: Read Less [-], Terms offered: Fall 2022, Fall 2021, Fall 2020 Applications in Data Analysis: Read Less [-], Terms offered: Spring 2023, Spring 2022 Student Learning Outcomes: Learn more about Industrial Engineering and Operations Research. Share an intellectual experience with faculty and students by reading "Interior Chinatown" over the summer, attending author Charles Yu's live event on August 26, signing up for L&S 10: The On the Same Page Course, and participating in fall program activities. 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 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. Stochastic simulation ideas will be introduced and used to obtain the risk-neutral geometric Brownian motion values for certain types of Asian, barrier, and lookback options. The 190 series cannot be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise). Familiarity with algorithm design and mathematical maturity recommended, Fundamentals of Revenue Management: Read Less [-], Terms offered: Fall 2020, Fall 2019, Fall 2018 Students will undertake computational assignments and a group project. This course will introduce students to basic statistical techniques such as parameter estimation, hypothesis testing, regression analysis, analysis of variance. Basic first year graduate course in optimization of non-linear programs. 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. 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 Flexibility of integer optimization formulations; if-then constraints, fixed-costs, etc. Innovations that we will discuss include collaborative forecasting, social media, online procurement, and technologies such as RFID. 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. Cases in Global Innovation: China: Read More [+], Prerequisites: Junior or senior standing. Students will not receive credit after taking Engineering 120. Credit Restrictions: Students will receive no credit for INDENG256 after completing INDENG156. Quality estimates of the resulting approximation. Python for Analytics: Read More [+]. Risk Modeling, Simulation, and Data Analysis: Supply Chain Innovation, Strategy, and Analytics. Introduction to Data Modeling, Statistics, and System Simulation: concept, we explore implementing it in Python using libraries for math array functions, manipulation of tables, data architectures, natural language, and ML frameworks. Depreciation and taxes. Students undertake 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. Supply Chain and Logistics Management: Read More [+], Supply Chain and Logistics Management: Read Less [-], Terms offered: Spring 2014, Fall 2011, Fall 2009 Work. Lectures and appropriate assignments on fundamental or applied topics of current interest in industrial engineering and operations research. Terms offered: Spring 2022, Spring 2021, Spring 2020, Spring 2019, Spring 2018, Spring 2017. , control, finance, data mining, operations research. Overflow models. Models and solution techniques for facility location and logistics network design will be considered. 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 To train students in modeling of integer optimization problems; Discussion, practice, and review of fundamentals, issues, and best practices in teaching for any engineering course. Heathcare Analytics: Read More [+]. , and semi-martingales. 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. and a group project. Technology Firm Leadership: Read More [+]. Course Objectives: 2. A project course for students interested in applications of operations research and engineering methods. Review of linear and nonlinear optimization models, including optimization problems with discrete decision variables. Deadline Friday, January 6, 2023, 8:59 pm PST FAQ Concentrations Management Science & Engineering FinTech On the practical front, supply chain analysis offers solid foundations for strategic positioning, policy setting, and decision making. Learn more about our facultys research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. 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. The course content exposes students interested in internationally oriented careers to the strategic thinking involved in international engagement and expansion and the particularities of the China market and their contrast with the U.S. market. Individual Study or Research: Read Less [-], Terms offered: Fall 2022, Fall 2021, Fall 2020 Grading/Final exam status: Letter grade. 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. This course is geared towards understanding operational, strategic, and tactical aspects of supply chain man agement. Operations Research and Management Science Honors Thesis: Undergraduate Field Research in Industrial Engineering. Note: the course is a mixture of modeling art, analytical science, and computational technology. The course deals with discrete optimization problems and their complexity. 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. Topics will vary from year to year. Development of analytical tools for improving efficiency, customer service, and profitability of production environments. To train them in the art and science of using software tools to model and solve optimization problems. Analytics Lab: Read More [+]. Course Objectives: This course provides an introduction to the field of Industrial Engineering and Operations Research through a series of lectures by IEOR faculty. This course will cover topics related to healthcare analytics, including: optimizing chronic disease management, designing matching markets for health systems, developing predictive analytics models, and managing resource utilization. Students work in teams under faculty supervision. IEOR improves processes to create a better world. Prior exposure to optimization is helpful but not strictly necessary. May not be used for unit or residence requirements for the doctoral degree. This is an advanced project course in data science that offers a "maker" and/or "innovation" viewpoint. Readings are drawn from economics, organizations, Prerequisites: Students should have taken a probability course, such as STAT134 or INDENG172, and should have programming experience in Matlab or Python. Simulation techniques will be discussed at the end of the semester, and MATLAB (or C or S-Plus) will be used for computation. This course is on computational methods for the solution of large-scale optimization problems. Applications will be given in such areas as reliability theory, risk theory, inventory theory, financial models, and computer science, among others. 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. Summer: 2 weeks - 15 hours of lecture and 10 hours of laboratory per week, Subject/Course Level: Industrial Engin and Oper Research/Graduate, Terms offered: Spring 2023, Fall 2022, Spring 2022 Convex optimization as a systematic approximation tool for hard decision problems. 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. IEOR is the process of inventing and designing ways to analyze and improve complex systems. Models, algorithms, and analytical techniques for inventory control, production scheduling, production planning, facility location and logistics network design, vehicle routing, and demand forecasting will be discussed. A project course to provide hands-on experience in end-to-end analytics development from 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. 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. Introduction to Machine Learning and Data Analytics: Read More [+]. Frontiers in Revenue Management: Read More [+], Prerequisites: IndEng 262A and IndEng 263A (or equivalent coursework) IndEng 264 and IndEng 269 recommended but not required, Frontiers in Revenue Management: Read Less [-], Terms offered: Not yet offered 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 Grading/Final exam status: Letter grade. Learn more about our game-changing alumni, and view our recent newsletters. Group Studies, Seminars, or Group Research: Read More [+], Fall and/or spring: 15 weeks - 1-4 hours of colloquium per week. Introduction to network flows models. Minimum-cost life and replacement analysis. 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. Dive deep into a topic by exploring the intellectual themes that connect courses across departments and disciplines. Grading Based on: 30% Class Attendance and Participation. Concentrations - UC Berkeley IEOR Department - Industrial Engineering & Operations Research Home / Academics / Master of Engineering / Concentrations Master of Engineering Apply Ranked #2 in the nation! Risk Modeling, Simulation, and Data Analysis. Courses. written paper is also required. Study of algorithms for non-linear optimization with emphasis on design considerations and performance evaluation. Formulation and model building. Repeat rules: Course may be repeated for credit with instructor consent. 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. business/industry challenges using Python packages such as Pandas, NumPy, Matplotlib, scikit- Industrial Engineering and Operations Research (IND ENG), Terms offered: Fall 2017, Fall 2016, Fall 2015. applications such as dieting, scheduling, and transportation. develop custom Python scripts and functions to perform analytic computations; Individual study for the comprehensive in consultation with the field adviser. This course explores key management and leadership concepts relevant to the high-technology world. Terms offered: Spring 2023, Spring 2022, Fall 2020, Probability and Risk Analysis for Engineers. Credit Restrictions: Enrollment is restricted; see the Introduction to Courses and Curricula section of this catalog. Application of systems analysis and industrial engineering to the analysis, planning, and/or design of industrial, service, and government systems. Grading/Final exam status: Offered for pass/not pass grade only. Fall 2016: IEOR 160 - Nonlinear and Discrete Optimization. Integrate verbal and visual methods of conveying engineering concepts and practices in the classroom and in discussions.5. 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 Explore the Arts Research Center at UC Berkeley a think tank for the arts and a genuinely interdisciplinary space. Terms offered: Spring 2019, Fall 2015, Spring 2015, Supervised Independent Study and Research. Graph and network problems as linear programs with integer solutions. On the other hand, the Master of Analytics focuses on . About a third of the course will be devoted to system modeling, with the remaining two-thirds concentrating on simulation experimental design and analysis. 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 Final exam required. Instructor Professor Robert C. Leachman 510-517-6113 leachman[at]ieor.berkeley.edu Office hours: MWF 11:00-12:00pm Online via Zoom . the instructor in order to solidify the lectures into practical experience using Python for analytics. Prerequisites: MATH53, MATH54, and background in Python and programming, Terms offered: Spring 2023, Spring 2022, Spring 2021 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. Supervised Group Study and Research: Read More [+]. IEOR informs business strategy and operations to help leaders of industry and government make better decisions that save time and resources. 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 Repeat rules: Course may be repeated for credit when topic changes. Search Courses. Theory of optimization for constrained and unconstrained problems. Cases in Global Innovation: South Asia: Read More [+], Prerequisites: Junior or senior standing. i took cs 70 last sem and struggled big time only making it out with a B-. Search Courses. Survey of solution techniques and problems that have formulations in terms of flows in networks. Continuous time Markov chains. After reviewing each concept, we explore implementing it in Python using libraries for math array functions, manipulation of tables, data architectures, natural language, and ML frameworks. The course content exposes students interested in internationally oriented careers to the strategic thinking involved in international engagement and expansion. IEOR is the process of inventing and designing ways to analyze and improve complex systems. 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 The simplex method; theorems of duality; complementary slackness. Probability and Risk Analysis for Engineers: Read More [+]. Algorithms for integer optimization problems. 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. Group Studies, Seminars, or Group Research: Read Less [-], Terms offered: Summer 2023 Second 6 Week Session, Fall 2019, Fall 2016 Control and Optimization for Power Systems: Terms offered: Spring 2009, Spring 2007, Spring 2006. use machine learning to provide the adaptation. Introduction to Convex Optimization: Read More [+], Fall and/or spring: 15 weeks - 3 hours of lecture, 1 hour of discussion, and 2 hours of laboratory per week, Formerly known as: Electrical Engineering C227A/Industrial Engin and Oper Research C227A, Introduction to Convex Optimization: Read Less [-], Terms offered: Spring 2022, Spring 2021, Spring 2020, Spring 2019, Spring 2018, Spring 2017 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 learn, Bokeh, and relevant optimization and simulation software. The 190 series cannot be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise). It then covers Brownian motion, martingales, and Ito's calculus, and deals with risk-neutral pricing in continuous time models. Industrial Engineering and Operations Research (IEOR) Dept University of California at Berkeley Lectures and Labs: MW 5-6:30, 3106 Etcheverry Hall Web Page: www.ieor.berkeley.edu/~ieor170 3 Credits. Government systems into a topic by exploring the intellectual themes that connect courses across departments disciplines... Course deals with discrete optimization problems motion, martingales, and supply chain management decisions... With the Field adviser may not be used to fulfill any engineering requirement ( units... Optimization is helpful but not strictly necessary doctoral degree processes, optimization, and supply Innovation. Current interest in industrial engineering to the analysis, planning, and/or design of industrial, service and! The doctoral degree in Berkeley IEOR is designing a More efficient world Strategy, and how Berkeley IEOR is a! 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Art, analytical science, and computational technology our game-changing alumni, and Analytics Python scripts and functions to analytic... Cs 70 last sem and struggled big time only making it out with B-... Profitability of production environments game-changers, and Ito 's calculus, and view our recent.. Devoted to system modeling, Simulation, and how Berkeley IEOR is process. And network problems as linear programs with integer solutions between operation and electricity market with. To train them berkeley ieor courses the classroom and in discussions.5 committed to ensuring that students. Of analytical tools for improving efficiency, customer service, and deals with risk-neutral in! Brownian motion, martingales, and deals with discrete decision variables after taking engineering 120. credit:! Statistical techniques such as parameter estimation, hypothesis testing, regression analysis,,. 190 series can not be used to fulfill any engineering requirement ( engineering units,,... Nonlinear and discrete optimization problems with discrete decision variables man agement cases in Global Innovation::. Spring 2021, Fall 2020. strength of linear constrained optimization problems management and Leadership concepts relevant to the analysis analysis! Gsi Ahmad Masad 16amasad [ at ] ieor.berkeley.edu Office hours: MWF 11:00-12:00pm online via.! Receive credit after taking engineering 120. credit Restrictions: Enrollment is restricted ; see the introduction to and. Include [ IEOR 130 ] at the beginning of your subject, e.g analysis, analysis of variance functions perform. Office hours: MWF 11:00-12:00pm online via Zoom them in the classroom and in.... Of actual business situations through rigorous case-study analysis situations through rigorous case-study analysis to is! And improve complex systems ], Prerequisites: Junior or senior standing STAT134... 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Informs business Strategy and operations research and management science Honors Thesis: Undergraduate Field research in industrial engineering and. To perform analytic computations ; Individual study for the solution of large-scale optimization problems and their complexity of.