Credit Restrictions: Students will receive no credit for INDENG156 after completing INDENG256. Upon completion of the course students will have learned how to: 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 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. It then covers Brownian motion, martingales, and Ito's calculus, and deals with risk-neutral pricing in continuous time models. 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. Operations Research and Management Science Honors Thesis: Read Less [-], Terms offered: Prior to 2007 Support Berkeleys commitment to excellence and opportunity! Understand the University policies and procedures on academic integrity and ethics. Instructors Type Term Exam Solution Flag (E) Flag (S) Munoz Different methods of evaluation of alternatives. Office Hours: MW: 1:15-2pm or by appointment. learn, Bokeh, and relevant optimization and simulation software. Random walks with applications. Heathcare Analytics: Read More [+]. They will also manage hypothetical portfolios throughout the course. Alternative to final exam. Algorithms for integer optimization problems. Nonlinear and Discrete Optimization: Read More [+], Nonlinear and Discrete Optimization: Read Less [-], Terms offered: Spring 2023, Fall 2022, Spring 2022 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 This course will study and draw connections between disparate fields to trace the development and influence of this view. 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. Introduce the different technologies used to develop simulation models and simulator products in order to become critical consumers of simulation study results. UC Berkeley's IEOR Department is at the forefront of optimization research. Familiarize students in leading methodologies for solving integer optimization problems, and techniques in these methodologies. This is an advanced project course in data science that offers a "maker" and/or "innovation" viewpoint. Join the online learning revolution! Renewal reward processes with application to inventory, congestion, and replacement models. Credit Restrictions: Enrollment is restricted; see the Introduction to Courses and Curricula section of this catalog. Terms offered: Spring 2023, Fall 2022, Spring 2022 Credit Restrictions: Course may be repeated for credit with consent of instructor. Industrial Engineering and Operations Research Courses Search Courses. Relational algebra, SQL, normalization. Cases in Global Innovation: China: Read More [+], Prerequisites: Junior or senior standing. On the practical front, supply chain analysis offers solid foundations for strategic positioning, policy setting, and decision making. 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. 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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: understand the array of mathematical toolkits provided by the Python packages covered. Design and development of effective industrial production planning systems. Technology Firm Leadership: Read More [+]. 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: preparing a syllabus; public speaking and coping with language barriers; creating effective slides and exams; differing student learning styles; grading; encouraging diversity, equity, and inclusion; ethics; dealing with conflict and misconduct; and other topics relevant to serving as an effective teaching assistant. Recommended but not required to be taken after or along with Engineering 198, Cases in Global Innovation: South Asia: Read Less [-], Terms offered: Fall 2022 A Grading/Final exam status: The grading option will be decided by the instructor when the class is offered. Graph and network problems as linear programs with integer solutions. IEOR 130; IEOR 142; IEOR 150; IEOR 151; IEOR 153; IEOR 160; IEOR 161; IEOR 162 Work. Standard topics include Girsanov transformation, martingale representation theorem, Feyman-Kac formula, and American and exotic option pricings. Dynamic Production Theory and Planning Models: Read More [+], Dynamic Production Theory and Planning Models: Read Less [-], Terms offered: Spring 2017, Spring 2014, Spring 2011 Grading/Final exam status: Offered for pass/not pass grade only. Cases in Global Innovation: South Asia: Read More [+], Prerequisites: Junior or senior standing. 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 Special techniques for experimenting with computer simulations and analyzing the results will be used to understand the trade-offs in risk and performance in the presence of uncertainty. Simulation techniques will be discussed at the end of the semester, and MATLAB (or C or S-Plus) will be used for computation. Course Objectives: This course provides an introduction to the field of Industrial Engineering and Operations Research through a series of lectures by IEOR faculty. Units may not be used to meet either unit or residence requirements for a master's degree. Fall and/or spring: 15 weeks - 1 hour of seminar per week, Subject/Course Level: Industrial Engin and Oper Research/Undergraduate. 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. Network Flows and Graphs: Read More [+], Prerequisites: 262A (may be taken concurrently), Terms offered: Spring 2022, Spring 2016, Spring 2015 This course addresses modeling and algorithms for integer programming problems, which are constrained optimization problems with integer-valued variables. 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 Advanced techniques such as variance reduction, simulation optimization, or meta-modeling are considered. Student teams implement an enterprise-scale simulation in a semester-length design project. Credit Restrictions: Students will receive no credit for Ind Eng 171 after taking UGBA105. This course addresses modeling and algorithms for optimization of linear constrained optimization problems. IEOR is the process of inventing and designing ways to analyze and improve complex systems. This will be an introductory first-year graduate course covering fundamental models in production planning and logistics. Week, Subject/Course Level: industrial Engin and Oper Research/Undergraduate and/or Spring: 15 weeks - 1 of... ) Munoz Different methods of evaluation of alternatives: China: Read More [ +,! 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