Course Objectives: Provide an introduction to the field of Industrial Engineering and Operations Research through a series of lectures. 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. The reversed chain concept in continuous time Markov chains with applications of queueing theory. learn, Bokeh, and relevant optimization and simulation software. Semi-Markov processes with emphasis on application. Course Objectives: On the theoretical front, supply chain analysis inspires new research ventures that blend operations research, game theory, and microeconomics. Risk Modeling, Simulation, and Data Analysis: Supply Chain Innovation, Strategy, and Analytics. 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. 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 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. Transportation and logistics 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. 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 Quantitative models for operational and tactical decision making in production systems, including production planning, inventory control, forecasting, and scheduling. 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. 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. The IEOR department plans to offer the following courses in the Spring 2022 semester. optimization methods using software packages, and will require some programming. Since 1909, distinguished guests have visited UC Berkeley to speak on a wide range of topics, from philosophy to the sciences. Students work in teams under faculty supervision. Teach strengths and weaknesses of different approaches for a foundation for selecting methodologies. descriptive, predictive, and prescriptive analytics. Introduce students to the data analysis process including: developing a hypothesis, acquiring data, processing the data, testing the hypothesis, and presenting results. Join the online learning revolution! With the growing complexity of providing healthcare, it is increasingly important to design and manage health systems using engineering and analytics perspectives. WWW design and queries. This course is geared towards understanding operational, strategic, and tactical aspects of supply chain man agement. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. These topics include complexity analysis of algorithms and its drawbacks; solving a system of linear integer equations and inequalities; strongly polynomial algorithms, network flow problems (including matching and branching); polyhedral optimization; branch and bound and lagrangean relaxation. A Bivariate Introduction to IE and OR: Read More [+]. Dive deep into a topic by exploring the intellectual themes that connect courses across departments and disciplines. exploratory analytics to systems analytics in an industry context, including communication of It is applied to a broad range of applications from manufacturing to transporation to healthcare. 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 Introduction to Stochastic Processes: Read More [+]. The result "L = (lambda) w" and other conservation laws. . Probability and Risk Analysis for Engineers: 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 Basic first year graduate course in optimization of non-linear programs. Risk Modeling, Simulation, and Data Analysis: Read More [+], Prerequisites: Basic notions of probability, statistics, and some programming and spreadsheet analysis experience, Risk Modeling, Simulation, and Data Analysis: Read Less [-], Terms offered: Spring 2023, Fall 2022, Spring 2022 Introductory course on the theory and applications of decision analysis. Welcome to UC Berkeleys Industrial Engineering and Operations Research Department. Formulation and model building. The goal is for students to develop the experience and intuition to gather and build new datasets and answer substantive questions. Terms offered: Spring 2023, Fall 2022, Spring 2022 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 The technical material will be presented in the context of engineering team system design and operations decisions. Convex optimization as a systematic approximation tool for hard decision problems. 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. A deficient grade in INDENG174 may be removed by taking IND ENG 131. Watch, listen, and learn. Students work on a field project under the supervision of a faculty member. 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. Operations Research and Management Science Honors Thesis: Undergraduate Field Research in Industrial Engineering. Credit Restrictions: Students will receive no credit for INDENG165 after completing STAT135. Random walks with applications. Immerse yourself in performances and programs from around the world that explore the intersections of education and the performing arts. Different methods of evaluation of alternatives. The first part of the course will cover statistical modeling procedures that can be defined as the minimizer of a suitable optimization problem. Continuous time Markov chains. 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. This course explores key management and leadership concepts relevant to the high-technology world. Applied Data Science with Venture Applications: Read More [+]. Applications on semiconductor manufacturing or other industrial settings. Emphasis will be placed on both the use of computers and the theoretical analysis of models and algorithms. This introductory course provides students with sufficient background in Python programming language 4189 Etcheverry Hall. 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 Algorithms for selected network flow problems. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Applications in production planning and resource allocation. Units may not be used to meet either unit or residence requirements for a master's degree. Group Studies, Seminars, or Group Research: Read More [+], Fall and/or spring: 15 weeks - 1-4 hours of colloquium per week. The field has made significant strides on both theoretical and practical fronts. 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. Modelling principles are illustrated by reviewing actual large-scale planning systems successfully implemented for naval ship overhaul and for semiconductor manufacturing. In addition, the course will introduce elements of financial markets and asset classes. 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 Help us reach our goal Semester course unit value and contact hours will have a one-to-one ratio. 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. Applied Data Science with Venture Applications: Read More [+], Prerequisites: Prerequisites include: ability to write code in Python, and a probability or statistics course, Fall and/or spring: 15 weeks - 3 hours of lecture per week15 weeks - 3 hours of lecture per week, Terms offered: Fall 2022, Fall 2021, Fall 2020 Dynamic programming and its role in applications to shortest paths, project management and equipment replacement. Instructor Professor Robert C. Leachman 510-517-6113 leachman[at]ieor.berkeley.edu Office hours: MWF 11:00-12:00pm Online via Zoom . 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. To train students in how to actually apply each method that is discussed in class, through a series of labs and programming exercises.5. 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. Introductory graduate level course, focusing on applications of operations research techniques, e.g., probability, statistics, and optimization, to financial engineering. 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 Introduction to Financial Engineering: Read More [+], Prerequisites: 162 or 262A, course in probability, or consent of instructor, Introduction to Financial Engineering: Read Less [-], Terms offered: Spring 2023, Fall 2022, Spring 2022 Course Objectives: Provide an introduction to IE and OR: Read More [ ]! Eng 131 welcome to UC Berkeleys Industrial Engineering themes that connect courses departments! Specializes in stochastic processes, optimization, and Analytics perspectives background in Python programming language 4189 Etcheverry Hall reviewing large-scale! `` L = ( lambda berkeley ieor courses w '' and other conservation laws some! 4189 Etcheverry Hall a faculty member management Science Honors Thesis: Undergraduate field Research in Berkeley IEOR in. 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