Please use this as a guide for planning purposes. 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; Introduction to Production Planning and Logistics Models: Terms offered: Fall 2012, Spring 2005, Spring 2004, Terms offered: Spring 2021, Spring 2014, Spring 2013. competition, revenue management in queueing systems, information intermediaries, and health care. Queueing Theory: Read More [+], Terms offered: Fall 2021, Spring 2018, Spring 2017 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. On the practical front, supply chain analysis offers solid foundations for strategic positioning, policy setting, and decision making. Terms offered: Spring 2023, Fall 2022, Spring 2022 Formulation and model building. This course will study and draw connections between disparate fields to trace the development and influence of this view. 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 Senior Project: Read More [+], Prerequisites: 160, 162, 165, 173, Engineering 120, and three other Industrial Engineering and Operations Research electives, Fall and/or spring: 15 weeks - 2 hours of lecture and 6 hours of fieldwork per week, Summer: 10 weeks - 3 hours of lecture and 9 hours of fieldwork per week. Analytical techniques for the improvement of manufacturing performance along the dimensions of productivity, quality, customer service, and throughput. Grading/Final exam status: Offered for pass/not pass grade only. Watch, listen, and learn. . Application of systems analysis and industrial engineering to the analysis, planning, and/or design of industrial, service, and government systems. Research projects on current topics in information technology. 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. Work. This course explores key management and leadership concepts relevant to the high-technology world. 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). To train them in the art and science of using software tools to model and solve optimization problems. IEOR leverages computing to better manage the massive amounts of information available today. Deadline Friday, January 6, 2023, 8:59 pm PST FAQ Concentrations Management Science & Engineering FinTech Different methods of evaluation of alternatives. The course is focused around intensive study of actual business situations through rigorous case-study analysis and the course size is limited to 30. doctoral students formulate their research designs. Prerequisites: IEOR 165 or equivalent course in statistics. 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. 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. with risk-neutral pricing in continuous time models. Emphasis on the formulation, analysis, and use of decision-making techniques in engineering, operations research and systems analysis. 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. to adapt a U.S. or western business model to the China market. To introduce students to the core concepts of optimization Python for Analytics: Read More [+]. 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. This is an introductory course in stochastic models. Course Objectives: 1. Prerequisites: Students should have taken a probability course, such as STAT134 or INDENG172, and should have programming experience in Matlab or Python. Credit Restrictions: Students will receive no credit for Ind Eng 171 after taking UGBA105. This year, Berkeley IEOR alum Sujit Chakravarthy, is making a $25,000 Big Match to support the IEOR Fund. and a group project. Brownian Motion. Advanced techniques such as variance reduction, simulation optimization, or meta-modeling are considered. To train students in how to actually apply each method that is discussed in class, through a series of labs and programming exercises.5. Supply chain analysis is the study of quantitative models that characterize various economic trade-offs in the supply chain. Instructors Type Term Exam Solution Flag (E) Flag (S) Shanthikumar IEOR informs business strategy and operations to help leaders of industry and government make better decisions that save time and resources. This graduate-level course provides a fundamental understanding of the mathematics behind the operation of power grids. 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. Advanced Mathematical Programming: Read More [+], Advanced Mathematical Programming: Read Less [-], Terms offered: Spring 2016, Spring 2015, Spring 2014 The IEOR department plans to offer the following courses in the Spring 2022 semester. 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 Nonlinear and Discrete Optimization: Read More [+], Nonlinear and Discrete Optimization: Read Less [-], Terms offered: Spring 2023, Fall 2022, Spring 2022 Control and Optimization for Power Systems: Read More [+]. This course addresses modeling and algorithms for optimization of linear constrained optimization problems. Introduction to Optimization Modeling: Read More [+]. These ventures result in an unprecedented amalgamation of prescriptive, descriptive, and predictive models characteristic of each subfield. This course is on computational methods for the solution of large-scale optimization problems. This course applies foundational concepts in programming, databases, machine learning, and statistical modeling to answer questions from business and social science. Theory of optimization for constrained and unconstrained problems. This introductory course provides students with sufficient background in Python programming language Credit Restrictions: Students will receive no credit for Ind Eng 173 after taking Ind Eng 161. Risk Modeling, Simulation, and Data Analysis: Supply Chain Innovation, Strategy, and Analytics. 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. May not be used for unit or residence requirements for the doctoral degree. Enable the students to recognize when problems can be modeled as integer optimization problems. 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 IEOR is the process of inventing and designing ways to analyze and improve complex systems. On the other hand, the Master of Analytics focuses on . 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