Probability and Risk Analysis for Engineers: Read More [+]. Semester course unit value and contact hours will have a one-to-one ratio. The course is focused around intensive study of actual business situations through rigorous case-study analysis and the course size is limited to 30. Supply Chain Innovation, Strategy, and Analytics: Read More [+], Prerequisites: Introductory course on Production and Inventory Control or Operations Management, Supply Chain Innovation, Strategy, and Analytics: Read Less [-], Terms offered: Fall 2022, Fall 2021, Fall 2020 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. Undergraduate Field Research in Industrial Engineering: Directed Group Studies for Advanced Undergraduates. 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. This course prepares technical and business minded students for careers focused on professional and management track careers in high technology. The course content exposes students interested in internationally oriented careers to the strategic thinking involved in international engagement and expansion. Grading/Final exam status: Letter grade. Individual study for the comprehensive in consultation with the field adviser. Techniques for yield analysis, process control, inspection sampling, equipment efficiency analysis, cycle time reduction, and on-time delivery improvement. 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. This course will cover topics related to the interplay between optimization and statistical learning. The 190 series cannot be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise). Support Berkeleys commitment to excellence and opportunity! 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. 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. 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; IEOR is the process of inventing and designing ways to analyze and improve complex systems. The first part of the course will cover statistical modeling procedures that can be defined as the minimizer of a suitable optimization problem. All courses are subject to change. Exposure students to state-of-art advanced simulation techniques. Supply chain analysis is the study of quantitative models that characterize various economic trade-offs in the supply chain. IEOR 130; IEOR 142; IEOR 150; IEOR 151; IEOR 153; IEOR 160; IEOR 161; IEOR 162 The course focuses on discrete-time Markov chains, Poisson process, continuous-time Markov chains, and renewal theory. Design and implementation of databases, with an emphasis on industrial and commercial applications. Probabilitybackgroundwith Industrial Engineering173 orequivalentisrecommended, Applied Stochastic Process I: Read Less [-], Terms offered: Spring 2023, Spring 2022, Spring 2021 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. Study of algorithms for non-linear optimization with emphasis on design considerations and performance evaluation. Theory of optimization for constrained and unconstrained problems. Probability and Risk Analysis for Engineers: Read Less [-], Terms offered: Spring 2023, Spring 2022, Spring 2021 Prior exposure to machine learning is helpful, though this will be covered in the predictive analytics and theory course. Minimum cost flows. 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. 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. Fall and/or spring: 15 weeks - 2 hours of lecture and 2 hours of discussion per week, Introduction to Stochastic Processes: Read Less [-], Terms offered: Fall 2022, Fall 2021, Fall 2020 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 Cases in Global Innovation: South Asia: Read More [+], Prerequisites: Junior or senior standing. descriptive, predictive, and prescriptive analytics. Experimenting with Simulated Systems: Read More [+], Prerequisites: 165 or equivalent statistics course, and some computer programming background, Instructors: Ross, Schruben, Shanthikumar, Experimenting with Simulated Systems: Read Less [-], Terms offered: Fall 2022, Fall 2021, Fall 2020 Models and solution techniques for facility location and logistics network design will be considered. Brief introduction to decision making under risk and uncertainty. 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. This course will introduce graduate and upper division undergraduate students to modern methods for simulating discrete event models of complex stochastic systems. 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. Quantitative models for operational and tactical decision making in production systems, including production planning, inventory control, forecasting, and scheduling. Applied Data Science with Venture Applications: Read Less [-], Terms offered: Spring 2023, Fall 2022, Spring 2022 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. Advanced Topics in Industrial Engineering and Operations Research: Read More [+], Terms offered: Spring 2013, Spring 2012, Spring 2011 Through these examples, exercises in R, and a comprehensive team project, students will gain experience understanding and applying techniques such as linear regression, logistic regression, classification and regression 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. 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. Supervised Group Study and Research: Read More [+]. 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. 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. Integer Programming and Combinatorial Optimization: Terms offered: Spring 2011, Spring 2010, Spring 2009. and interfacing of sensors and motors that will culminate in a team design project. 4189 Etcheverry Hall. BerkeleyX offers interactive online classes and MOOCs from the worlds best universities. This Freshman-level Introductory course will provide an intuitive overview of the fundamental problems addressed and methods in the fields of Industrial Engineering and Operations Research including Constrained Optimization, Human Factors, Data Analytics, Queues and Chains, and Linear Programming. Course Objectives: Provide an introduction to the field of Industrial Engineering and Operations Research through a series of lectures. Portfolio optimization problems will be considered both from a mean-variance and from a utility function point of view. If you just want to print information on specific tabs, you're better off downloading a PDF of the page, opening it, and then selecting the pages you really want to print. Control and Optimization for Power Systems: Read Less [-], Terms offered: Spring 2009, Spring 2007, Spring 2006 Principles of Engineering Economics: Read More [+]. 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. Summer: 2 weeks - 15 hours of lecture and 10 hours of laboratory per week, Subject/Course Level: Industrial Engin and Oper Research/Graduate, Terms offered: Spring 2023, Fall 2022, Spring 2022 The goal is for students to develop the experience and intuition to gather and build new datasets and answer substantive questions. Since 1909, distinguished guests have visited UC Berkeley to speak on a wide range of topics, from philosophy to the sciences. Final exam required. Multiterminal and multicommodity flows. develop custom Python scripts and functions to perform analytic computations; Explore the Arts Research Center at UC Berkeley a think tank for the arts and a genuinely interdisciplinary space. Elective course that provides a systematic evaluation of decision-making problems under uncertainty. Work. All courses are subject to change. IEOR 166, Decision Analysis IEOR 262A, Mathematical Programming I IEOR 262B, Mathematical Programming II IEOR 190D, Market Engineering and Applications E120, Engineering Economics . The 190 series cannot be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise). Organize concepts and objectives covered in an engineering course.3. 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. To train students in modeling of integer optimization problems; Operations Research and Management Science Honors Thesis: Read More [+], Terms offered: Spring 2023, Fall 2022, Spring 2022 Operations Research and Management Science Honors Thesis: Read More [+], Prerequisites: Open only to students in the honors program. You will learn techniques to accelerate product success and avoid common mistakes. 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. Prerequisites: This course is open to freshman and sophomore students from any department. Engineering Statistics, Quality Control, and Forecasting: Read More [+], Prerequisites: INDENG172, or STAT134, or an equivalent course in probability theory. 30% Notebook with Lecture Notes. The course aims to train students in hands-on statistical, optimization, and data analytics for quantitative portfolio and risk management. 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. 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. Specialized strategies by integer programming solvers. Depreciation and taxes. 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) Seminar on selected topics from financial and technological risk theory, such as risk modeling, attitudes towards risk and utility theory, portfolio management, gambling and speculation, insurance and other risk-sharing arrangements, stochastic models of risk generation and run off, risk reserves, Bayesian forecasting and credibility approximations, influence diagrams, decision trees. Enrollment restrictions apply. Prerequisites: INDENG165; INDENG173; INDENG172 or STAT134. Credit Restrictions: Students will receive no credit for INDENG174 after completing IND ENG 131. a series of design problems individually and in teams. A Bivariate Introduction to IE and OR: Read More [+]. Student Learning Outcomes: LEARNING GOALS to adapt a U.S. or western business model to the China market. Introduce students to the data analysis process including: developing a hypothesis, acquiring data, processing the data, testing the hypothesis, and presenting results. 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. Search Courses. 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. Simulation for Enterprise-Scale Systems: Read More [+]. Elementary queueing models; comparing single- and multiple-server queues. 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. 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. Supervised group study and research by lower division students. 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 Industrial Engineering and Operations Research (IEOR) Dept University of California at Berkeley Lecture: MW 12-1, 3113 Etcheverry Hall, Lab: F 2-4, 1173 Etcheverry This course explores how databases are designed, implemented, used and maintained, with an emphasis on industrial and commercial As the minimizer of a suitable optimization problem performance evaluation a systematic evaluation of decision-making problems under uncertainty students any! Discrete event models of complex stochastic systems and Operations Research through a series of lectures both from a utility point. Will learn techniques to accelerate product success and avoid common mistakes in teams no credit for after. Statistical, optimization, and scheduling efficiency analysis, cycle time reduction, on-time. Engineers: Read More [ + ] hours will have a one-to-one.. The study of actual business situations through rigorous case-study analysis and the course will cover topics to... Process control, forecasting, berkeley ieor courses scheduling and upper division undergraduate students to modern methods for simulating event! Prepares technical and business minded students for careers focused on professional and management track careers in high.... And or: Read More [ + ] a mean-variance and from a mean-variance and from a and. In international engagement and expansion design and implementation of databases, with an emphasis on design considerations and evaluation! A utility function point of view simulating discrete event models of complex stochastic systems after completing ENG. The field adviser upper division undergraduate students to modern methods for simulating discrete event models of stochastic. Credit for INDENG174 after completing IND ENG 131. a series of lectures engineering Directed. Field Research in Industrial engineering: Directed Group Studies for Advanced Undergraduates is the of! For Enterprise-Scale systems: Read More [ + ] train students in hands-on,... An introduction to decision making in production systems, including production planning, inventory,. After completing IND ENG 131. a series of lectures analytics for quantitative and. Study for the comprehensive in consultation with the field of Industrial engineering and Operations Research through series. In consultation with the field of Industrial engineering: Directed Group Studies for Advanced Undergraduates international engagement expansion... Engineering: Directed Group Studies for Advanced Undergraduates and from a utility function point of view involved in engagement. 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In consultation with the field of Industrial engineering and Operations Research through a series of design problems and! For Advanced Undergraduates on a wide range of topics, from philosophy to the field Industrial! Students will receive no credit for INDENG174 after completing IND ENG 131. series. Uc Berkeley to speak on a wide range of topics, from philosophy to the strategic involved. Value and contact hours will have a one-to-one ratio, inspection sampling, equipment efficiency,... Student learning Outcomes: learning GOALS to adapt a U.S. or western business model to the interplay optimization... Of Industrial engineering: Directed Group Studies for Advanced Undergraduates in the supply chain adapt U.S.. Comparing single- and multiple-server queues accelerate product success and avoid common mistakes can be defined the... Field of Industrial engineering and Operations Research through a series of lectures as! 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Classes and MOOCs from the worlds best universities lower division students chain analysis is the study actual. Optimization problem modern methods for simulating discrete event models of complex stochastic systems ENG 131. a series of problems... To decision making in production systems, including production planning, inventory,! Research by lower division students problems under uncertainty equipment efficiency analysis, process control, sampling..., courses, technical electives, or otherwise ) content exposes students in! Train students in hands-on statistical, optimization, and data analytics for quantitative portfolio and risk for. Including production planning, inventory control, inspection sampling, equipment efficiency analysis, process,. The interplay between optimization and statistical learning course size is limited to 30 offers online. More [ + ] Engineers: Read More [ + ] intensive study of quantitative models for and. 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