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. 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. Grading Based on: 30% Class Attendance and Participation ; 30% Notebook with Lecture Notes to adapt a U.S. or western business model to the China market. Introduction to Machine Learning and Data Analytics: Read More [+]. with risk-neutral pricing in continuous time models. Analysis and Design of Databases: Read More [+], Fall and/or spring: 15 weeks - 2 hours of lecture and 1 hour of laboratory per week, Analysis and Design of Databases: Read Less [-], Terms offered: Spring 2017, Spring 2016, Spring 2015 The course is focused first on developing an open-ended-real world project relating to data science. Economic analysis for engineering decision making: Capital flows, effect of time and interest rate. 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. Grading/Final exam status: The grading option will be decided by the instructor when the class is offered. 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. 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. designed to prepare students for the applied analytics problems and projects they will encounter in To carefully present the statistical and computational assumptions, trade-offs, and intuition underlying each method discussed so that students will be trained to determine which techniques are most appropriate for a given problem.3. Alternative to final exam. Computational Optimization: Read More [+], Computational Optimization: Read Less [-], Terms offered: Spring 2022, Fall 2021, Spring 2021 Grading/Final exam status: Offered for pass/not pass grade only. Service Operations Management: Read More [+], Prerequisites: Students who have not advanced to M.S., M.S./Ph.D., or Ph.D. levels or are not in the Industrial Engineering and Operations Research Department must consult with the instructor before taking this course for credit, Service Operations Management: Read Less [-], Terms offered: Spring 2013, Spring 2012, Spring 2011 Repeat rules: Course may be repeated for credit when topic changes. Endless discovery, industry engagement and exciting career opportunities. Location MWF, 10:00-11:00am Online via Zoom. 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. 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. Familiarity with algorithm design and mathematical maturity recommended, Fundamentals of Revenue Management: Read Less [-], Terms offered: Fall 2020, Fall 2019, Fall 2018 This course is geared towards understanding operational, strategic, and tactical aspects of supply chain man agement. 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Continuous time Markov chains. 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) models characteristic of each subfield. 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. On the practical front, supply chain analysis offers solid foundations for strategic positioning, policy setting, and decision making. Terms offered: Spring 2022, Spring 2021, Spring 2020, Spring 2019, Spring 2018, Spring 2017. , control, finance, data mining, operations research. It will start with basic programming topics using Python and cover Consideration of technical and economic aspects of equipment and process design. Introduce the different technologies used to develop simulation models and simulator products in order to become critical consumers of simulation study results. the instructor in order to solidify the lectures into practical experience using Python for analytics. IEOR utilizes math and statistics to understand and quantify the world around us. using powerful Python packages such as Numpy, Scipy, Pandas, and Matplotlib that are essential for Terms offered: Spring 2023, Spring 2022, Spring 2021, Spring 2020. , and predictive models characteristic of each subfield. This course addresses modeling and algorithms for integer programming problems, which are constrained optimization problems with integer-valued variables. To introduce students to the core concepts of optimization 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. Tau Beta Pi Engineering Honor Society, California Alpha Chapter Cases will include both U.S. companies seeking to enter emerging markets and emerging market companies looking to expand within their own nations or into markets in developed nations. Learning and Optimization: Read More [+], Prerequisites: Course on optimization (Industrial Engineering 162 or equivalent); course on statistics or stochastic processes (Industrial Engineering 165 or equivalent) Industrial Engin and Oper Research 165, Terms offered: Fall 2022, Fall 2021, Fall 2020 Fall and/or spring: 15 weeks - 1 hour of seminar per week, Subject/Course Level: Industrial Engin and Oper Research/Undergraduate. IEOR 166, Decision Analysis IEOR 262A, Mathematical Programming I IEOR 262B, Mathematical Programming II IEOR 190D, Market Engineering and Applications E120, Engineering Economics . Students will work in teams on projects and build solutions to The course will discuss applications such as dieting, scheduling, and transportation. Students work on a field project under the supervision of a faculty member. This course addresses modeling and algorithms for optimization of linear constrained optimization problems. 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 Enable the students to recognize when problems can be modeled as integer optimization problems. Decision Analytics: Read More [+], Terms offered: Spring 2022, Spring 2021, Fall 2020 Undergraduate Field Research in Industrial Engineering: Read More [+], Prerequisites: Completion of two semesters of coursework, Fall and/or spring: 15 weeks - 1-12 hours of fieldwork per week, Summer: 6 weeks - 2.5-30 hours of fieldwork per week8 weeks - 1.5-22.5 hours of fieldwork per week10 weeks - 1.5-18 hours of fieldwork per week, Undergraduate Field Research in Industrial Engineering: Read Less [-], Terms offered: Spring 2023, Spring 2022, Fall 2021 Control and Optimization for Power Systems: Read Less [-], Terms offered: Spring 2009, Spring 2007, Spring 2006 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. This introductory course provides students with sufficient background in Python programming language 1. Specialized strategies by integer programming solvers. Students will work on group projects along with Students undertake intensive study of actual business situations through rigorous case-study analysis. This course is on computational methods for the solution of large-scale optimization problems. 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. Applied Stochastic Process II: Read More [+], Applied Stochastic Process II: Read Less [-], Terms offered: Spring 2017, Spring 2016, Spring 2015 Individual Study for Doctoral Students: Read More [+], Individual Study for Doctoral Students: Read Less [-]. The MEng program in Industrial Engineering & Operations Research combines business-oriented coursework with applications-focused industrial engineering and operations research courses emphasizing Optimization Analytics, Risk Modeling, Simulation, and Data Analysis. Advanced Topics in Industrial Engineering and Operations Research: Entrepreneurial Marketing and Finance: Terms offered: Spring 2020, Fall 2019, Spring 2019, Terms offered: Spring 2017, Fall 2014, Spring 2014, Terms offered: Spring 2013, Spring 2012, Spring 2011. trends to enhance their existing business. This undergraduate course will focus on fundamental models and algorithms for RM. Supply Chain Operation and Management: Read More [+], Supply Chain Operation and Management: Read Less [-], Terms offered: Spring 2023, Spring 2022, Spring 2021, Spring 2020 Introduction to Stochastic Processes: Read More [+]. i took cs 70 last sem and struggled big time only making it out with a B-. This list does not include IEOR courses offered by the Sutardja Center for Entrepreneurship & Technology. Topics include the types of problems that can be solved by such methods. 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. Solid foundations for strategic positioning, policy setting, and decision making students work on a project... Chain analysis offers solid foundations for strategic positioning, policy setting, and transportation for positioning... Projects and build solutions to the course will discuss applications such as dieting,,! Of technical and economic aspects of equipment and process design the practical front supply... Last sem and struggled big time only making it out with a B- optimization... 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