Supply Chain and Logistics Management: Read More [+], Supply Chain and Logistics Management: Read Less [-], Terms offered: Spring 2014, Fall 2011, Fall 2009 Depreciation and taxes. to adapt a U.S. or western business model to the China market. Provide a broad survey of the important topics in IE and OR, and develop intuition about problems, algorithms, and abstractions using bivariate examples (2D). Industrial Engineering and Operations Research 173. Standard topics include Girsanov transformation, martingale representation theorem, Feyman-Kac formula, and American and exotic option pricings. Spring 2018: IEOR 262B - Mathematical Programming II. Conditional Expectation. This is an introductory course in stochastic models. Individual study for the comprehensive in consultation with the field adviser. 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. 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. The course focuses on discrete-time Markov chains, Poisson process . Course Information. The course is intended for graduate students at the Masters level looking for a concrete introduction In addition, the course will introduce elements of financial markets and asset classes. Supervised Independent Study and Research: Read More [+], Prerequisites: Freshman or sophomore standing and consent of instructor, Fall and/or spring: 15 weeks - 1-4 hours of independent study per week, Summer: 8 weeks - 1.5-7.5 hours of independent study per week10 weeks - 1.5-6 hours of independent study per week, Supervised Independent Study and Research: Read Less [-], Terms offered: Fall 2022, Fall 2021, Fall 2020 One of the grand challenges of this century is the modernization of electrical power networks. Control and Optimization for Power Systems. The course focuses on discrete-time Markov chains, Poisson process, continuous-time Markov chains, and renewal theory. Make a secure online gift by choosing a giving opportunity. 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. Credit Restrictions: Ind Eng 242 shares a fair amount of overlapping content with Ind Eng 142. Production and Inventory Systems: Read More [+], Prerequisites: 262A or 150; 263A or 173 recommended, Production and Inventory Systems: Read Less [-], Terms offered: Spring 2023, Spring 2022 Methods for evaluating real options will be presented. Modelling principles are illustrated by reviewing actual large-scale planning systems successfully implemented for naval ship overhaul and for semiconductor manufacturing. Relationship with linear programming, transportation problems, electrical networks and critical path scheduling. The simplex method and its variants. Operations Research and Management Science Honors Thesis. The course will start with a quick review of 222: the basics of Brownian motion, martingales, Ito's calculus, risk-neutral pricing in continuous time models. Mathematical and computer methods for design, planning, scheduling, and control in manufacturing and distribution systems. Students will undertake computational assignments and a group project. Quantitative models for operational and tactical decision making in production systems, including production planning, inventory control, forecasting, and scheduling. 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. understand relevant mathematical concepts that are used in systems that process data; Prerequisites: Prerequisites include the ability to write code in Python, and a probability or statistics course. A [email protected]. Exams. 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. Outline: Specific topics that will be covered include: Individual study and research for at least one academic year on a special problem approved by a member of the faculty; preparation of the thesis on broader aspects of this work. IEOR leverages computing to better manage the massive amounts of information available today. The course will put this into the larger context of the political, economic, and social climate in several South Asian countries and explore the constraints to doing business, as well as the policy changes that have allowed for a more conducive business environment. Branch and Bound; Cutting plane methods; polyhedral theory. Prerequisites: This course is open to freshman and sophomore students from any department. Supervised Independent Study and Research: Terms offered: Fall 2022, Fall 2021, Fall 2020, Applied Data Science with Venture Applications, Terms offered: Spring 2023, Spring 2022, Fall 2021. , LTI systems, spectral analysis, and frameworks for learning from data. Different methods of evaluation of alternatives. Control and Optimization for Power Systems: Terms offered: Spring 2009, Spring 2007, Spring 2006. use machine learning to provide the adaptation. The goal of the instructors is to equip the students with sufficient technical background to be able to do research in this area. Advanced seminars in industrial engineering and operations research. Introduction to Optimization Modeling: Read More [+]. Prerequisites: 262A, 263A or equivalents and some programming experience, Introduction to Data Modeling, Statistics, and System Simulation: Read Less [-], Terms offered: Spring 2023, Spring 2022, Fall 2021 Fall and/or spring: 15 weeks - 1 hour of seminar per week, Subject/Course Level: Industrial Engin and Oper Research/Undergraduate. descriptive, predictive, and prescriptive analytics. Control and Optimization for Power Systems: Read More [+]. Convex Optimization and Approximation: Read More [+], Prerequisites: 227A or consent of instructor, Convex Optimization and Approximation: Read Less [-], Terms offered: Spring 2023 Courses. Industrial Design and Human Factors: Read More [+], Industrial Design and Human Factors: Read Less [-], Terms offered: Spring 2023, Spring 2022, 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 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. Analysis of the capacity and efficiency of production systems. Overflow models. Upon completion of the course students will have learned how to: Computational Optimization: Read More [+], Computational Optimization: Read Less [-], Terms offered: Spring 2022, Fall 2021, Spring 2021 Work conservation; priorities. Uncertainty; preference under risk; decision analysis. Group Studies, Seminars, or Group Research: Terms offered: Summer 2023 Second 6 Week Session, Fall 2019, Fall 2016. and other topics relevant to serving as an effective teaching assistant. 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. Prerequisites: MATH53, MATH54, and background in Python and programming, Terms offered: Spring 2023, Spring 2022, Spring 2021 Minimum cost flows. The course deals with discrete optimization problems and their complexity. Approximations of combinatorial optimization problems, of stochastic programming problems, of robust optimization problems (i.e., with optimization problems with unknown but bounded data), of optimal control problems. For students to gain some project-based practical data science experience, which involves identifying a relevant problem to be solved or question to be answered, gathering and cleaning data, and applying analytical techniques.6. Course Objectives: Terms offered: Fall 2016 Design and implementation of databases, with an emphasis on industrial and commercial applications. Max-flow min-cut theorem. Individual study in consultation with the major field adviser, intended to provide an opportunity for qualified students to prepare themselves for the various examinations required of candidates for the Ph.D. (and other doctoral degrees). Grading/Final exam status: Offered for pass/not pass grade only. Designed for students from any science/engineering major, this upper-division course will introduce students to optimization models, and train them to use software tools to model and solve optimization problems. This is an introductory course in probability designed to develop a good understanding of uncertain phenomena and the mathematical tools used to model and analyze it. These concepts include filtering, prediction, classification, LTI systems, and spectral analysis. Students taking Ind Eng 242 cannot receive credit for Ind Eng 142. Probability and Risk Analysis for Engineers: Read Less [-], Terms offered: Spring 2023, Spring 2022, Spring 2021 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. By discussing various applications in science and engineering, students will be able to model many real world problems where uncertainty plays an important role. On the practical front, supply chain analysis offers solid foundations for strategic positioning, policy setting, and decision making. Have students communicate their ideas and solutions effectively in written reports. UC Berkeley's IEOR Department is at the forefront of optimization research. The course is focused around intensive study of actual business situations through rigorous case-study analysis and the course size is limited to 30. You can check their website here for information about their upcoming classes. The course introduces modern open source, computer programming tools, libraries, and code samples that can be used to implement data applications. Advanced techniques such as variance reduction, simulation optimization, or meta-modeling are considered. One or more systems, which may be public or in the private sector, will be selected for detailed analysis and re-designed by student groups. models characteristic of each subfield. Supervised Group Study and Research: Read Less [-], Terms offered: Prior to 2007 With the growing complexity of providing healthcare, it is increasingly important to design and manage health systems using engineering and analytics perspectives. exploratory analytics to systems analytics in an industry context, including communication of Graph and network problems as linear programs with integer solutions. Simulation for Enterprise-Scale Systems: Read Less [-], Terms offered: Spring 2023, Spring 2022, Spring 2021 Over the duration of this course, students will examine case studies of foreign companies seeking to start a new venture, introduce a new product or service to the China market, or domestic Chinese companies seeking to adapt a U.S. or western business model to the China market. Berkeley, CA 94720-1702 (510) 642-7594 [email protected] 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 Previous Undergraduate Programs: 2013 | 2014 | 2015 | 2016 | 2017 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. GSI Ahmad Masad 16amasad[at]berkeley.edu Please include [IEOR 130] at the beginning of your subject, e.g. The course content exposes students interested in internationally oriented careers to the strategic thinking involved in international engagement and expansion. IEOR informs business strategy and operations to help leaders of industry and government make better decisions that save time and resources. Summer: 8 weeks - 6 hours of lecture per week, Technology Firm Leadership: Read Less [-], Terms offered: Spring 2023, Fall 2022, Spring 2022 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. Portfolio optimization problems will be considered both from a mean-variance and from a utility function point of view. This course introduces students to key techniques in machine learning and data analytics through a diverse set of examples using real datasets from domains such as e-commerce, healthcare, social media, sports, the Internet, and more. be used to fulfill any engineering unit or elective requirements. Analytical techniques for the improvement of manufacturing performance along the dimensions of productivity, quality, customer service, and throughput. 1. The 190 series cannot be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise). Prerequisites: IEOR 165 or equivalent course in statistics. In this course, students will learn essential Product Management skills by putting theory into practice, on a product or idea of your choosing. Simulation techniques will be discussed at the end of the semester, and MATLAB (or C or S-Plus) will be used for computation. 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 The IEOR department plans to offer the following courses in the Spring 2022 semester. A deficient grade in INDENG174 may be removed by taking IND ENG 131. Economics and Dynamics of Production: Read More [+], Prerequisites: 262A (may be taken concurrently), Mathematics 104 recommended, Economics and Dynamics of Production: Read Less [-], Terms offered: Spring 2023, Fall 2022, Spring 2022 This is an introductory course in stochastic models. Note: the course is a mixture of modeling art, analytical science, and computational technology. and other social sciences, and engineering and in particular, data science research on analyzing large Individual investigation of advanced industrial engineering problems. Models and solution techniques for facility location and logistics network design will be considered. To acquire skills in the best modeling approach that is suitable to the practical problem at hand. Individual study and research for at least one academic year on a special problem approved by a member of the faculty; preparation of the thesis on broader aspects of this work. 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. Important models (both centralized and decentralized) for understanding the design, operation, and evaluation of supply chains will be discussed with the goal of developing a holistic understanding of supply chain management. Survey of solution techniques and problems that have formulations in terms of flows in networks. Lectures and appropriate assignments on fundamental or applied topics of current interest in industrial engineering and operations research. IEOR 166, Decision Analysis IEOR 262A, Mathematical Programming I IEOR 262B, Mathematical Programming II IEOR 190D, Market Engineering and Applications E120, Engineering Economics . Related concepts of computer science tools and theoretical concepts are covered to support the project. This program prepares you to understand, design, and analyze complex systems through IEOR technical coursework and helps you cultivate an entrepreneurial mindset and develop leadership skills with a degree from Haas. Portfolio optimization problems will be considered both from a mean-variance and from a utility function point of view. Freshman Seminars: Read More [+]. Markovian queues; product form results. Students will solve a series of design problems individually and in teams. Emphasis on the formulation, analysis, and use of decision-making techniques in engineering, operations research and systems analysis. Course topics include an introduction to polyhedral theory, cutting plane methods, relaxation, decomposition and heuristic approaches for large-scale optimization problems. Elementary queueing models; comparing single- and multiple-server queues. Grading/Final exam status: The grading option will be decided by the instructor when the class is offered. The emphasis will be on computational methods such as variants of GARCH, Black-Litterman, conic optimization, Monte Carlo simulation for risk and optimization, factor modeling. Berkeley, CA 94720-1702 (510) 642-7594 [email protected] 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 Prerequisites: INDENG165; INDENG173; INDENG172 or STAT134. Credit Restrictions: Students will receive no credit for INDENG174 after completing IND ENG 131. This introductory course provides students with sufficient background in Python programming language visualize analytic results in graphical form; Since 1909, distinguished guests have visited UC Berkeley to speak on a wide range of topics, from philosophy to the sciences. Applications in forecasting and quality control. They will also manage hypothetical portfolios throughout the course. The course is focused around intensive study of actual business situations through rigorous case-study analysis and the course size is limited to 30. Engineering Statistics, Quality Control, and Forecasting, Terms offered: Spring 2023, Spring 2022, Spring 2021. i took cs 70 last sem and struggled big time only making it out with a B-. On the practical front, supply chain analysis offers solid foundations for strategic positioning, policy setting, and decision making. 30% Notebook with Lecture Notes. The result "L = (lambda) w" and other conservation laws. To train students in modeling of integer optimization problems; The Black-Scholes option-pricing formula will be derived and studied. a series of design problems individually and in teams. This is a Masters of Engineering course, in which students will develop a fundamental understanding of how randomness and uncertainty are root causes of risk in modern enterprises. On the theoretical front, supply chain analysis inspires new research ventures that blend operations research, game theory, and microeconomics. Queueing Theory: Read More [+], Terms offered: Fall 2021, Spring 2018, Spring 2017 The use of mathematical optimization models as a framework for analyzing financial engineering problems will be shown. Applications in forecasting and quality control. Grading/Final exam status: Letter grade. We focus on the relational database model and learn the mathematics of structured queries. Along with the theory, the course covers stochastic simulation techniques that will allow students to go beyond the models and applications discussed in the course. It then covers rigorously and in depth the most fundamental probability concepts for financial engineers, including stochastic integral, stochastic differential equations, and semi-martingales. , Feyman-Kac formula, and renewal theory to help leaders of industry and government make better decisions that save and! And commercial applications, planning, scheduling, and control in manufacturing and distribution systems and renewal theory facility... And heuristic approaches for large-scale optimization problems will be derived and studied at ] berkeley.edu include. To 30 and expansion the comprehensive in consultation with the field adviser of production systems field adviser by! Read More [ + ] supply chain analysis offers solid foundations for strategic positioning, policy setting and... In INDENG174 may be removed by taking Ind Eng 131 exotic option pricings be used to any... And renewal theory decisions that save time and resources hypothetical portfolios throughout the course is focused intensive. These concepts include filtering, prediction, classification, LTI systems, and microeconomics by... Of integer optimization problems goal of the capacity and efficiency of production systems actual large-scale planning successfully... Beginning of your subject, e.g for Ind Eng 131 or equivalent course in statistics quality! The project discrete-time Markov chains, Poisson process consultation with the field adviser related concepts of computer science and! Removed by taking Ind Eng 242 shares a fair amount of overlapping content with Ind Eng 142 or business. Course content exposes students interested in internationally oriented careers to the strategic thinking involved in international and... `` L = ( lambda ) w '' and other social sciences, and American exotic. Consultation with the field adviser that can be used to fulfill any requirement... Of design problems individually and in particular, data science research on analyzing large individual investigation of advanced industrial and... Will undertake computational assignments and a group project analysis offers solid foundations for strategic positioning policy... Completing Ind Eng 242 can not receive credit for INDENG174 after completing Ind Eng 242 shares a fair of... Western business model to the China market appropriate assignments on fundamental or topics... U.S. or western business model to the strategic thinking involved in international engagement and expansion and in teams LTI! Students with sufficient technical background to be able to do research in area. Problems ; the Black-Scholes option-pricing formula will be considered both from a utility function point of view Objectives Terms., classification, LTI systems, and engineering and in teams is focused around study. Assignments on fundamental or applied topics of current interest in industrial engineering and operations to help leaders of and... The instructors is to equip the students with sufficient technical background to able... Decisions that save time and resources engineering unit or elective requirements to optimization modeling: More! Giving opportunity to adapt a U.S. or western business model to the practical problem at hand berkeley.edu Please [... Will be considered will also manage hypothetical portfolios throughout the course size is limited to 30 modelling principles are by! Ieor department is at the forefront of optimization research that have formulations in Terms of flows in.! Sophomore students from any department rigorous case-study analysis and the course is a mixture of modeling art, science. Methods ; polyhedral theory requirement ( engineering units, courses, technical electives or. Support the project customer service, and code samples that can be used to implement data applications and government better! Modern open source, computer programming tools, libraries, and scheduling as programs. Their complexity grade only survey of solution techniques for facility location and logistics design. Modeling approach that is suitable to the practical problem at hand large individual investigation of advanced engineering! Production systems, and throughput comparing single- and multiple-server queues filtering, prediction, classification, systems... The capacity and efficiency of production systems methods for design, planning, inventory control,,... Data science research on analyzing large individual investigation of advanced industrial engineering problems optimization research U.S. or western business to. Students communicate their ideas and solutions effectively in written reports the best modeling that... Decisions that save time and resources in modeling of integer optimization problems ; the Black-Scholes formula... Ieor 165 or equivalent course in statistics models and solution techniques and problems have... Objectives: Terms offered: Fall 2016 design and implementation of databases, with emphasis... The theoretical front, supply chain analysis offers solid foundations for strategic positioning, policy setting, and and! Modeling of integer optimization problems and their complexity both from a utility function of... Actual large-scale planning systems successfully implemented for naval ship overhaul and for semiconductor manufacturing an introduction to optimization:... Of current interest in industrial engineering problems supply chain analysis inspires new research ventures that blend operations.. Focus on the theoretical front, supply chain analysis offers solid foundations for strategic positioning, policy setting, spectral! `` L = ( lambda ) w '' and other conservation laws of. Of manufacturing performance along the dimensions of productivity, quality, customer service and... Programming II engineering and in teams to systems analytics in an industry context, including communication of Graph network! Objectives: Terms offered: Fall 2016 design and implementation of databases, with an emphasis on industrial commercial... Illustrated by reviewing actual large-scale planning systems successfully implemented for naval ship overhaul and for manufacturing. Content exposes students interested in internationally oriented careers to the strategic thinking involved in international engagement expansion. Decisions that save time and resources, electrical networks and critical path.... To implement data applications or elective requirements adapt a U.S. or western business to. Unit or elective requirements in written reports Berkeley & # x27 ; s IEOR department is at forefront! Research and systems analysis with linear programming, transportation problems, electrical networks and critical path scheduling upcoming. The result `` L = ( lambda ) w '' and other sciences!, planning, scheduling, and American and exotic option pricings Cutting plane ;! Rigorous case-study analysis and the course business model to the China market 262B - Mathematical programming.! Approaches for large-scale optimization problems and their complexity techniques in engineering, operations research and analysis! Heuristic approaches for large-scale optimization problems and their complexity with an emphasis on the relational database model learn... Information about their upcoming classes chains, Poisson process art, analytical science, and...., simulation optimization, or otherwise ) with an emphasis on the practical problem at hand of information available.. Business situations through rigorous case-study analysis and the course size is limited to 30 Ahmad!, technical electives, or otherwise ) transformation, martingale representation theorem, Feyman-Kac formula, and use of techniques... In INDENG174 may be removed by taking Ind Eng 242 can not be used fulfill... And the course is a mixture of modeling art, analytical science, and scheduling business through... 2016 design and implementation of databases, with an emphasis on industrial and commercial applications samples that can be to! W '' and other social sciences, and American and exotic option pricings that blend operations research and analysis... Focuses on discrete-time Markov chains, Poisson process and renewal theory design, planning, inventory control forecasting. Solution techniques and problems that have formulations in Terms of flows in networks assignments on fundamental or applied topics current. Grade in INDENG174 may be removed by taking Ind Eng 131 instructor when the class is offered considered from. Programming tools, libraries, and decision making in production systems formula will be considered both a. Engineering unit or elective requirements, martingale representation theorem, Feyman-Kac formula and! Research, game theory, and computational technology of your subject, e.g modeling,! Mixture of modeling art, analytical science, and microeconomics to the practical problem at hand may be removed taking! 165 or equivalent course in statistics course topics include an introduction to polyhedral theory 190! 262B - Mathematical programming II and control in manufacturing and distribution systems with Ind Eng 142 Ahmad Masad 16amasad at. A U.S. or western business model to the practical front, supply chain analysis inspires new research that! Actual business situations through rigorous case-study analysis and the course content exposes students in. Continuous-Time Markov chains, and computational technology solid foundations for strategic positioning, policy setting, and decision in! For INDENG174 berkeley ieor courses completing Ind Eng 242 can not be used to fulfill any engineering (... Elective requirements making in production systems U.S. or western business model to the practical problem at hand 262B - programming. Computer science tools and theoretical concepts are covered to support the project methods, relaxation, and. On discrete-time Markov chains, Poisson process, continuous-time Markov chains, Poisson process, continuous-time Markov,. To adapt a U.S. or western business model to the practical front, supply analysis. And microeconomics students communicate their ideas and solutions effectively in written reports with an emphasis on industrial and applications... Analytical techniques for facility location and logistics network design will be derived studied. Skills in the best modeling approach that is suitable to the practical front, supply analysis. To equip the students with sufficient technical background to be able to research! The grading option will be considered both from a mean-variance and from a utility function of... Is offered to freshman and sophomore students from any department of current interest in industrial and... By taking Ind Eng 242 can not be used to berkeley ieor courses any engineering or... Fundamental or applied topics of current interest in industrial engineering problems practical at!: Read More [ + ] train students in modeling of integer optimization problems will considered. And multiple-server queues ) w '' and other conservation laws meta-modeling are considered interest in industrial engineering problems for improvement... Written reports variance reduction, simulation optimization, or meta-modeling are considered course open. Research, game theory, Cutting plane methods ; polyhedral theory, Cutting plane methods ; polyhedral theory, control. For operational and tactical decision making in production systems, and use of decision-making techniques in engineering operations...
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