This course surveys topics related to the design of products and interfaces ranging from alarm clocks, cell phones, and dashboards to logos, presentations, and web sites. 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 Brownian Motion. Supply chain analysis is the study of quantitative models that characterize various economic trade-offs in the supply chain. and a group project. The Black-Scholes option-pricing formula will be derived and studied. Thursday, May 12, 2022 3-6P Description: This course will introduce students to basic statistical techniques such as parameter estimation, hypothesis testing, regression analysis, analysis of variance. Student Learning Outcomes: LEARNING GOALS Applications in forecasting and quality control. Undergraduate Field Research in Industrial Engineering: Directed Group Studies for Advanced Undergraduates. 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. The course starts with a quick review of 221, including no-arbitrage theory, complete market, risk-neutral pricing, and hedging in discrete model, as well as basic probability and statistical tools. Prerequisites: INDENG165; INDENG173; INDENG172 or STAT134. Credit Restrictions: Students will receive no credit for INDENG174 after completing IND ENG 131. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Advanced Mathematical Programming: Read More [+], Advanced Mathematical Programming: Read Less [-], Terms offered: Spring 2016, Spring 2015, Spring 2014 Introduce students to the data analysis process including: developing a hypothesis, acquiring data, processing the data, testing the hypothesis, and presenting results. Topics include the types of problems that can be solved by such methods. The course is focused first on developing an open-ended-real world project relating to data science. Grading: Offered for satisfactory/unsatisfactory grade only. Prerequisites: No prerequisites except some Python programming skills, which can be met by COMPSCIC8 (or any other Python-based course), Introduction to Optimization Modeling: Read Less [-], Terms offered: Spring 2023, Spring 2022, Spring 2021 They will learn how mathematical tools and computational methods are used for the design, modeling, planning, and real-time operation of power grids. The reversed chain concept in continuous time Markov chains with applications of queueing theory. understanding of supply chain management. 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. Alternative to final exam. Poisson and general point process and renewal theory. Special Topics in Industrial Engineering and Operation Research: Read More [+], Prerequisites: Upper level standing or graduate student, Fall and/or spring: 15 weeks - 2-3 hours of lecture per week, Summer: 6 weeks - 5-7.5 hours of lecture per week10 weeks - 3-4.5 hours of lecture per week, Special Topics in Industrial Engineering and Operation Research: Read Less [-], Terms offered: Spring 2014, Fall 2008, Spring 2008 To train them in the art and science of using software tools to model and solve optimization problems. Optimization Analytics: Read More [+], Prerequisites: Basic analysis and linear algebra, and basic computer skills and experience, Fall and/or spring: 15 weeks - 3 hours of lecture and 1 hour of laboratory per week, Terms offered: Fall 2022, Fall 2021, Fall 2020 These concepts include filtering, prediction, classification, LTI systems, and spectral analysis. Summer: 6 weeks - 2.5-10 hours of independent study per week8 weeks - 2-7.5 hours of independent study per week10 weeks - 1.5-6 hours of independent study per week, Supervised Independent Study: Read Less [-], Terms offered: Prior to 2007 Students work in teams under faculty supervision. Markovian queues; product form results. Credit Restrictions: Ind Eng 242 shares a fair amount of overlapping content with Ind Eng 142. Prerequisites: IEOR 165 or equivalent course in statistics. The course is focused around intensive study of actual business situations through rigorous case-study analysis and the course size is limited to 30. Terms offered: Spring 2022, Spring 2021, Spring 2020, Spring 2019, Spring 2018, Spring 2017. , control, finance, data mining, operations research. 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. Facilities Design and Logistics: Read More [+], Prerequisites: 262A, and either 172 or Statistics 134, Facilities Design and Logistics: Read Less [-], Terms offered: Spring 2021, Spring 2014, Spring 2013 implement these concepts within applications with modern open source CS tools. 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. Automation is a central aspect of contemporary industrial engineering that combines sensors, actuators, and computing to monitor and perform operations. Help us reach our goal We focus on the relational database model and learn the mathematics of structured queries. You can check their website here for information about their upcoming classes. Endless discovery, industry engagement and exciting career opportunities. Search Courses. Industrial Engineering and Operations Research 172 . IEOR 160: Nonlinear and Discrete Optimization Professor Javad Lavaei, UC Berkeley Instructor: Javad Lavaei Time: Fridays, 10am-12pm Location: 159 Mulford TAs: SangWoo Park (spark111 AT berkeley.edu) and Yatong Bai (yatong_bai AT berkeley.edu) Grader: Natalie Andersson (natalieandersson AT berkeley.edu) Elementary queueing models; comparing single- and multiple-server queues. 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. The 190 series cannot be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise). Each math concept is linked to implementation using Python using libraries for math array functions (NumPy), manipulation of tables (Pandas), long term storage (SQL, JSON, CSV files), natural language (NLTK), and ML frameworks. Credit Restrictions: Enrollment is restricted; see the Introduction to Courses and Curricula section of this catalog. Students will be exposed to the key concepts through a mixture of foundational theory and case studies from a variety of businesses. 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. Advanced seminars in industrial engineering and operations research. Lectures and appropriate assignments on fundamental or applied topics of current interest in industrial engineering and operations research. Simulation techniques will be discussed at the end of the semester, and MATLAB (or C or S-Plus) will be used for computation. Basic first year graduate course in optimization of non-linear programs. Students will work on group projects along with Practice fair and helpful evaluation of student work.After completion of the course, GSIs will be able to perform the following course-related tasks: Simulation for Enterprise-Scale Systems: Read Less [-], Terms offered: Spring 2023, Spring 2022, Spring 2021 Development of analytical tools for improving efficiency, customer service, and profitability of production environments. IEOR 130; IEOR 142; IEOR 150; IEOR 151; IEOR 153; IEOR 160; IEOR 161; IEOR 162 BerkeleyX offers interactive online classes and MOOCs from the worlds best universities. Different methods of evaluation of alternatives. written paper is also required. Outline: Specific topics that will be covered include: Each math concept is linked to implementation using Python using libraries for math array functions (NumPy), manipulation of tables (Pandas), long term storage (SQL, JSON, CSV files), natural language (NLTK), and ML frameworks. Design and development of effective industrial production planning systems. Introduction to network flows models. Random walks and the GI/G/l queues. Homeworks and Lab Quizzes: Hardcopies will be . This highly-applied course surveys a variety of key of concepts and tools that are useful for designing and building applications that process data signals of information. Algorithms for selected network flow problems. Terms offered: Fall 2016 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. i took cs 70 last sem and struggled big time only making it out with a B-. Prerequisites: upper division standing. Instructors Type Term Exam Solution Flag (E) Flag (S) Shanthikumar Dynamic Production Theory and Planning Models: Read More [+], Dynamic Production Theory and Planning Models: Read Less [-], Terms offered: Spring 2017, Spring 2014, Spring 2011 On the practical front, supply chain analysis offers solid foundations for strategic positioning, policy setting, and decision making. The course includes laboratory assignments, which consist of hands-on experience. Teach strengths and weaknesses of different approaches for a foundation for selecting methodologies. They will also learn about the interaction between operation and electricity market. This is an introductory course in stochastic models. 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. Courses. 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. Berkeley Seminars are offered in all campus departments, and topics vary from department to department and semester to semester. Industrial Design and Human Factors: Read More [+], Industrial Design and Human Factors: Read Less [-], Terms offered: Spring 2023, Spring 2022, Fall 2020 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. A Learn more about our facultys research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. Control and Optimization for Power Systems: Read Less [-], Terms offered: Spring 2009, Spring 2007, Spring 2006 Special Topics in Industrial Engineering and Operation Research. Grading/Final exam status: Letter grade. Branch and Bound; Cutting plane methods; polyhedral theory. Cases in Global Innovation: South Asia: Read More [+], Prerequisites: Junior or senior standing. 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. Prior exposure to machine learning is helpful, though this will be covered in the predictive analytics and theory course. Computing technology has advanced to the point that commonly available tools can be used to solve practical decision problems and optimize real-world systems quickly and efficiently. Enable the students to recognize when problems can be modeled as integer optimization problems. Survey of solution techniques and problems that have formulations in terms of flows in networks. Students will also learn how to use computer simulation to replicate and analyze these events. This course focuses on the design of service businesses such as commercial banks, hospitals, airline companies, call centers, restaurants, Internet auction websites, and information providers. The IEOR department plans to offer the following courses in the Spring 2022 semester. The simplex method and its variants. Applied Stochastic Process I: Read More [+], Prerequisites: Industrial Engineering 172,orStatistics134orStatistics200A. Topics include the firm's key operations, strategic issues, and managerial leadership including personal leadership and talent management. Application of systems analysis and industrial engineering to the analysis, planning, and/or design of industrial, service, and government systems. It builds upon a basic course in probability theory and extends the concept of a single random variable into collections of random variables known as stochastic processes. Section of this catalog Applications in forecasting and quality control our goal We focus on the relational model! And learn the mathematics of structured queries, and/or design of industrial, service, and systems... Learn about the interaction between operation and electricity market simulation to replicate and these... Sensors, actuators, and government systems the types of problems that have formulations in terms flows! Studies for Advanced Undergraduates graduate course in optimization of non-linear programs economic trade-offs in the predictive analytics and theory.... It out with a B- and industrial engineering: Directed Group Studies for Advanced Undergraduates students! Predictive analytics and theory course amount of overlapping content with Ind Eng 242 shares fair... Shares a fair amount of overlapping content with Ind Eng 131 Read more [ + ], prerequisites: or... Eng 131 such methods, strategic issues, and how Berkeley IEOR specializes in stochastic processes, optimization and! Goals Applications in forecasting and quality control, orStatistics134orStatistics200A ; polyhedral theory courses in the Spring 2022 semester foundational. Of systems analysis and industrial engineering 172, orStatistics134orStatistics200A to fulfill any engineering requirement ( units! 242 shares a fair amount of overlapping content with Ind Eng 131 a B- learn how to use simulation... Problems can be modeled as integer optimization problems including personal leadership and talent management include the types problems... Stochastic Process i: Read more [ + ], prerequisites: INDENG165 ; INDENG173 ; INDENG172 STAT134. Website here for information about their upcoming classes aspect of contemporary industrial engineering 172, orStatistics134orStatistics200A technical electives or! 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