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. Industrial Engineering and Operations Research (IND ENG), Terms offered: Fall 2017, Fall 2016, Fall 2015. applications such as dieting, scheduling, and transportation. Emphasis will be placed on both the use of computers and the theoretical analysis of models and algorithms. The IEOR department is excited to announce that more than 50% of our Fall 2022 undergraduate and master's cohorts are female-identifying and non-binary. BerkeleyX offers interactive online classes and MOOCs from the worlds best universities. 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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. Introductory course on design, programming, and statistical analysis of simulation methods and tools for enterprise-scale systems such as traffic and computer networks, health-care and financial systems, and factories. 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. This course introduces you to the field of supply chain management through a series of lectures and case studies that emphasize innovative concepts in supply chain management that have proven to be beneficial for a good number of adopters. Immerse yourself in performances and programs from around the world that explore the intersections of education and the performing arts. Exams. The material covered in the course includes internet auctions, procurement, service facility location, sevice quality management, capacity planning, airline ticket pricing, financial plan design, pricing of digital goods, call center management, service competition, revenue management in queueing systems, information intermediaries, and health care. 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 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. To train the students in the selection of appropriate techniques to be used for integer optimization problems. In this graduate course, we focus on the systematic design of databases and interfaces for commercial and industrial applications. As a member of the UC Berkeley community, I act with honesty, integrity, and respect for others.. Organize concepts and objectives covered in an engineering course.3. Innovations that we will discuss include collaborative forecasting, social media, online procurement, and technologies such as RFID. The IEOR department plans to offer the following courses in the Spring 2022 semester. Individual Study for Master's Students: Read More [+], Fall and/or spring: 15 weeks - 0 hours of independent study per week, Summer: 8 weeks - 6-68 hours of independent study per week, Subject/Course Level: Industrial Engin and Oper Research/Graduate examination preparation, Individual Study for Master's Students: Read Less [-], Terms offered: Fall 2010, Spring 2008, Fall 2007 Probability and Risk Analysis for Engineers: the theory, the course covers stochastic simulation techniques that will allow students to go beyond the models and applications discussed in the course. Enable the students to recognize when problems can be modeled as integer optimization problems. The course covers some convex optimization theory and algorithms, and describes various applications arising in engineering design, machine learning and statistics, finance, and operations research. Applications in robust engineering design, statistics, control, finance, data mining, operations research. The 190 series cannot be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise). 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. Spring 2017: IEOR 268 - Applied Dynamic Programming. models characteristic of each subfield. The focus is on converting the theory of optimization into effective computational techniques. This course will focus on the understanding and use of such tools, to model and solve complex real-world business problems, to analyze the impact of changing data and relaxing assumptions on these decisions, and to understand the risks associated with particular decisions and outcomes. Advanced Topics in Industrial Engineering and Operations Research: Read More [+], Terms offered: Fall 2021, Spring 2011 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. IEOR 130; IEOR 142; IEOR 150; IEOR 151; IEOR 153; IEOR 160; IEOR 161; IEOR 162 Familiarity with algorithm design and mathematical maturity recommended, Fundamentals of Revenue Management: Read Less [-], Terms offered: Fall 2020, Fall 2019, Fall 2018 With the growing complexity of providing healthcare, it is increasingly important to design and manage health systems using engineering and analytics perspectives. A course on financial concepts useful for engineers that will cover, among other topics, those of interest rates, present values, arbitrage, geometric Brownian motion, options pricing, & portfolio optimization. Since 1909, distinguished guests have visited UC Berkeley to speak on a wide range of topics, from philosophy to the sciences. Methods for evaluating real options will be presented. Renewal reward processes with application to inventory, congestion, and replacement models. Simulation techniques will be discussed at the end of the semester, and MATLAB (or C or S-Plus) will be used for computation. Models on production/inventory planning, logistics, portfolio optimization, factor modeling, classification with support vector machines. This course applies foundational concepts in programming, databases, machine learning, and statistical modeling to answer questions from business and social science. Instructor Professor Robert C. Leachman 510-517-6113 leachman[at]ieor.berkeley.edu Office hours: MWF 11:00-12:00pm Online via Zoom . Start by selecting your requirement year to find classes that meet requirements for the following majors: Bioengineering, Classical Civilizations, Cognitive Science, Data Science, Economics, Electrical Engineering and Computer Sciences, English, Environmental Earth Science, Environmental Economics and Policy, Environmental Sciences, Gender and The course content exposes students interested in internationally oriented careers to the strategic thinking involved in international engagement and expansion. Supply chain analysis is the study of quantitative models that characterize various economic trade-offs in the supply chain. 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. 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. A deficient grade in INDENG174 may be removed by taking IND ENG 131. Random walks and the GI/G/l queues. Student Learning Outcomes: Learning goals include technical communication and project presentation. It is applied to a broad range of applications from manufacturing to transporation to healthcare. Course Objectives: IEOR improves processes to create a better world. Student teams implement an enterprise-scale simulation in a semester-length design project. Applied Data Science with Venture Applications: Read Less [-], Terms offered: Spring 2023, Fall 2022, Spring 2022 Supply Chain and Logistics Management: Read More [+], Supply Chain and Logistics Management: Read Less [-], Terms offered: Spring 2014, Fall 2011, Fall 2009 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. In addition, qualitative issues in distribution network structuring, centralized versus decentralized network control, variability in the supply chain, strategic partnerships, and product design for logistics will be considered through discussions and cases. Applied Data Science with Venture Applications: Introduction to Machine Learning and Data Analytics, Terms offered: Spring 2023, Fall 2022, Spring 2022. trees, random forests, boosting, text mining, data cleaning and manipulation, data visualization, network analysis, time series modeling, clustering, principal component analysis, regularization, and large-scale learning. Decision Analytics: Read More [+], Terms offered: Spring 2022, Spring 2021, Fall 2020 Advanced Topics in Industrial Engineering and Operations Research, Terms offered: Spring 2018, Fall 2016, Spring 2016. 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: Duality theory. Learn more about our game-changing alumni, and view our recent newsletters. Introduction to Optimization Modeling: Read More [+]. 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. Practice fair and helpful evaluation of student work.After completion of the course, GSIs will be able to perform the following course-related tasks: Production Systems Analysis: Read More [+], Prerequisites: INDENG160, INDENG173, INDENG162, INDENG165, and ENGIN120, Production Systems Analysis: Read Less [-], Terms offered: Fall 2022, Fall 2021, Fall 2020 Cases in Global Innovation: Read More [+], Fall and/or spring: 8 weeks - 2 hours of lecture per week, Cases in Global Innovation: Read Less [-], Terms offered: Prior to 2007 The course is Network Flows and Graphs: Read More [+], Prerequisites: 262A (may be taken concurrently), Terms offered: Spring 2022, Spring 2016, Spring 2015 Grading/Final exam status: Letter grade. The course is focused around intensive study of actual business situations through rigorous case-study analysis. and other social sciences, and engineering and in particular, data science research on analyzing large While these two programs share some core technical courses, the IEOR Master of Engineering program prepares students for engineering leadership and offers a curriculum with a balance of management and technical content. Endless discovery, industry engagement and exciting career opportunities. It will start with basic programming topics using Python and cover Minimum cost flows. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Computational Optimization: Read More [+], Computational Optimization: Read Less [-], Terms offered: Spring 2022, Fall 2021, Spring 2021 Operations Research and Management Science Honors Thesis: Read More [+], Terms offered: Spring 2023, Fall 2022, Spring 2022 Polynomial time algorithms. This is an introductory course in stochastic models. 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. 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. 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. On the practical front, supply chain analysis offers solid foundations for strategic positioning, policy setting, and decision making. Nonlinear and Discrete Optimization: Read More [+], Nonlinear and Discrete Optimization: Read Less [-], Terms offered: Spring 2023, Fall 2022, Spring 2022 Three hours of lecture per week. IEOR is the process of inventing and designing ways to analyze and improve complex systems. The PDF will include all information unique to this page. 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 Python for Analytics: Read More [+]. Individual Study for Doctoral Students: Read More [+], Individual Study for Doctoral Students: Read Less [-]. In this award-winning video, IEOR students explain what industrial engineering & operations research is, how their skills can improve the world, and discuss exciting careers in IEOR. i took cs 70 last sem and struggled big time only making it out with a B-. They will also manage hypothetical portfolios throughout the course. Students work in teams with local companies on a database design project. Discussion, practice, and review of fundamentals, issues, and best practices in teaching for any engineering course. 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. 2022 semester to answer questions from business and social science the world that explore the intersections of and., portfolio optimization, factor modeling, classification with support vector machines C. Leachman 510-517-6113 Leachman [ ]. 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