Engineering Statistics, Quality Control, and Forecasting: Read More [+], Prerequisites: INDENG172, or STAT134, or an equivalent course in probability theory. This is an introductory course in stochastic models. 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. 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. 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. Applications in production planning, resource allocation, power generation, network design. Authors join us, physically or virtually. Cal Students: Please apply with your CalCentral berkeley.edu email by 12/5/2022 or 1/5/2023 PST to receive . Introduction to Data Modeling, Statistics, and System Simulation: concept, we explore implementing it in Python using libraries for math array functions, manipulation of tables, data architectures, natural language, and ML frameworks. Outline: Specific topics that will be covered include: A Bivariate Introduction to IE and OR: Read Less [-], Terms offered: Spring 2019, Fall 2015, Spring 2015 Development of dynamic activity analysis models for production planning and scheduling. Industrial Engineering and Operations Research (IND ENG), Terms offered: Fall 2017, Fall 2016, Fall 2015. applications such as dieting, scheduling, and transportation. Relational algebra, SQL, normalization. Prior exposure to machine learning is helpful, though this will be covered in the predictive analytics and theory course. understand the array of mathematical toolkits provided by the Python packages covered. Through a series of real-world examples, students will learn to identify opportunities to leverage the capabilities of data analytics and will see how data analytics can provide a competitive edge for companies.4. With the growing complexity of providing healthcare, it is increasingly important to design and manage health systems using engineering and analytics perspectives. In this graduate course, we focus on the systematic design of databases and interfaces for commercial and industrial applications. We are committed to ensuring that all students have equal access to educational opportunities at UC Berkeley. Prerequisites: MATH53, MATH54, and background in Python and programming, Terms offered: Spring 2023, Spring 2022, Spring 2021 Advanced Topics in Industrial Engineering and Operations Research: Read More [+], Terms offered: Fall 2021, Spring 2011 Units may not be used to meet either unit or residence requirements for a master's degree. Prerequisites: IEOR 240 Optimization Analytics, IEOR 241 Risk Modeling & Simulation Analytics, IEOR 242 Applications in Data Analysis. Methods for evaluating real options will be presented. Students will be exposed to the key concepts through a mixture of foundational theory and case studies from a variety of businesses. Simulation techniques will be discussed at the end of the semester, and MATLAB (or C or S-Plus) will be used for computation. On the other hand, the Master of Analytics focuses on . understanding of supply chain management. Students work in teams with local companies on a database design project. Random walks and the GI/G/l queues. GSI Ahmad Masad 16amasad[at]berkeley.edu Please include [IEOR 130] at the beginning of your subject, e.g. What did your. It also discusses applications to queueing theory, risk analysis and reliability theory. Research projects on current topics in information technology. Risk Modeling, Simulation, and Data Analysis. Courses Industrial Engineering and Operations Research (IND ENG) Industrial Engineering and Operations Research (IND ENG) Courses Expand all course descriptions [+] IND ENG 24 Freshman Seminars 1 Unit [+] IND ENG 66 A Bivariate Introduction to IE and OR 3 Units [+] IND ENG 98 Supervised Group Study and Research 1 - 3 Units [+] Advanced seminars in industrial engineering and operations research. Supervised Group Study and Research: Read Less [-], Terms offered: Prior to 2007 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 These ventures result in an unprecedented amalgamation of prescriptive, descriptive, and predictive models characteristic of each subfield. Advanced Topics in Industrial Engineering and Operations Research: Advanced Topics in Industrial Engineering and Operations Research: Entrepreneurial Marketing and Finance, Terms offered: Fall 2017, Spring 2014, Fall 2013. This introductory course provides students with sufficient background in Python programming language Innovations that we will discuss include collaborative forecasting, social media, online procurement, and technologies such as RFID. They will learn how mathematical tools and computational methods are used for the design, modeling, planning, and real-time operation of power grids. Overflow models. To train students in modeling of integer optimization problems; Recommended, but not required to be taken after or along with Engineering 198, Fall and/or spring: 15 weeks - 2 hours of lecture per week, Cases in Global Innovation: China: Read Less [-], Terms offered: Prior to 2007 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. Spring 2017: IEOR 268 - Applied Dynamic Programming. Course Objectives: Students will learn how to model random phenomena and learn about a variety of areas where it is important to estimate the likelihood of uncertain events. Algorithms for integer optimization problems. The Black-Scholes option-pricing formula will be derived and studied. Describe different mathematical abstractions used in IEOR (e.g., graphs, queues, Markov chains), and how to use these abstractions to model real-world problems. Credit Restrictions: Ind Eng 242 shares a fair amount of overlapping content with Ind Eng 142. 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. The goal of the instructors is to equip the students with sufficient technical background to be able to do research in this area. Freshman Seminars: Read More [+]. Control and Optimization for Power Systems: Terms offered: Spring 2009, Spring 2007, Spring 2006. use machine learning to provide the adaptation. Heathcare Analytics: Read More [+]. 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. Minimum cost flows. 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 Students will also learn how to use computer simulation to replicate and analyze these events. Dynamic programming formulation of deterministic decision process problems, analytical and computational methods of solution, application to problems of equipment replacement, resource allocation, scheduling, search and routing. Dynamic Production Theory and Planning Models: Terms offered: Spring 2017, Spring 2014, Spring 2011, Terms offered: Spring 2016, Spring 2015, Spring 2014, Group Studies, Seminars, or Group Research. Optimization and Algorithms Machine Learning and Data Science Probability and Risk Analysis for Engineers: Read More [+]. This course applies foundational concepts in programming, databases, machine learning, and statistical modeling to answer questions from business and social science. Tau Beta Pi Engineering Honor Society, California Alpha Chapter Quantitative models for operational and tactical decision making in production systems, including production planning, inventory control, forecasting, and scheduling. Prerequisites: Graduate Standing or ASE (Academic Student Employee) Status, Fall and/or spring: 15 weeks - 2 hours of seminar per week, Subject/Course Level: Industrial Engin and Oper Research/Professional course for teachers or prospective teachers, GSI Proseminar on Teaching Engineering: Read Less [-], Terms offered: Fall 2010, Fall 2008, Spring 2008 Supervised Independent Study: Read More [+], Prerequisites: Consent of instructor and major adviser. The far-reaching research done at Berkeley IEOR has applications in many fields such as energy systems, healthcare, sustainability, innovation, robotics, advanced manufacturing, finance, computer science, data science, and other service systems. Enrollment restrictions apply. 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 Portfolio optimization problems will be considered both from a mean-variance and from a utility function point of view. Introduction to Convex Optimization: Read More [+], Fall and/or spring: 15 weeks - 3 hours of lecture, 1 hour of discussion, and 2 hours of laboratory per week, Formerly known as: Electrical Engineering C227A/Industrial Engin and Oper Research C227A, Introduction to Convex Optimization: Read Less [-], Terms offered: Spring 2022, Spring 2021, Spring 2020, Spring 2019, Spring 2018, Spring 2017 This course uses simulation models for analyzing and optimizing systems where the underlying processes and/or parameters are not fully known, but data may be available, sampled, or artificially generated. A project course for students interested in applications of operations research and engineering methods. 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. Advanced Topics in Industrial Engineering and Operations Research: Read More [+], Terms offered: Spring 2017, Fall 2014, Spring 2014 Endless discovery, industry engagement and exciting career opportunities. The first part of the course will cover statistical modeling procedures that can be defined as the minimizer of a suitable optimization problem. Course Objectives: Students will understand the similarities and differences in methods for simulating the dynamics of complex, stochastic systems and apply these to model real systems. Fall and/or spring: 15 weeks - 1-3 hours of directed group study per week. Course Objectives: Students will work on group projects along with 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 Automation is a central aspect of contemporary industrial engineering that combines sensors, actuators, and computing to monitor and perform operations. IEOR 166, Decision Analysis IEOR 262A, Mathematical Programming I IEOR 262B, Mathematical Programming II IEOR 190D, Market Engineering and Applications E120, Engineering Economics . Spring 2017: IEOR 258 - Control and Optimization for Power Systems. Advanced Topics in Industrial Engineering and Operations Research: Entrepreneurial Marketing and Finance: Terms offered: Spring 2020, Fall 2019, Spring 2019, Terms offered: Spring 2017, Fall 2014, Spring 2014, Terms offered: Spring 2013, Spring 2012, Spring 2011. trends to enhance their existing business. 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. Flexibility of integer optimization formulations; if-then constraints, fixed-costs, etc. Upon completion of the course students will have learned how to: Integer Programming and Combinatorial Optimization: Read More [+], Integer Programming and Combinatorial Optimization: Read Less [-], Terms offered: Fall 2015, Fall 2014 Introduction to Optimization Modeling: Read More [+]. Watch, listen, and learn. The 190 series cannot be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise). Logistics Network Design and Supply Chain Management: Read More [+], Prerequisites: INDENG160, INDENG162 or senior standing, Logistics Network Design and Supply Chain Management: Read Less [-], Terms offered: Not yet offered Duality theory. Course Objectives: The use of mathematical optimization models as a framework for analyzing financial engineering problems will be shown. Credit Restrictions: Students will receive no credit for INDENG156 after completing INDENG256. Grader: TBD. Companies can partner with IEOR to engage and recruit students. Conditional Expectation. Modeling with integer variables; branch-and-bound method; cutting planes. To train the students in the selection of appropriate techniques to be used for integer optimization problems. The course content exposes students interested in internationally oriented careers to the strategic thinking involved in international engagement and expansion. 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. Courses. using powerful Python packages such as Numpy, Scipy, Pandas, and Matplotlib that are essential for Grading/Final exam status: Letter grade. Spring 2018: IEOR 262B - Mathematical Programming II. Credit Restrictions: Students will receive 2 units for 120 after taking Civil Engineering 167. The last part of the course will deal with inverse decision-making problems, which are problems where an agent's decisions are observed and used to infer properties about the agent. Prerequisites: This course is open to freshman and sophomore students from any department. Sujit's $25k Big Match will be unlocked once 50 gifts are made to the IEOR fund. Elective course that provides a systematic evaluation of decision-making problems under uncertainty. Instructors Type Term Exam Solution Flag (E) Flag (S) Munoz Student teams implement an enterprise-scale simulation in a semester-length design project. Prerequisites: Students should have taken a probability course, such as STAT134 or INDENG172, and should have programming experience in Matlab or Python. .fl-node-5b298c0daefc0 > .fl-row-content-wrap {background-color: #003262;}.fl-node-5b298c0daefc0 .fl-row-content {max-width: 1231px;} .fl-node-5b298c0daefc0 > .fl-row-content-wrap {margin-top:0px;margin-right:0px;margin-bottom:0px;margin-left:0px;} .fl-node-5b298c0daefc0 > .fl-row-content-wrap {padding-top:20px;padding-right:20px;padding-bottom:20px;padding-left:20px;}.fl-animated.fl-slide-in-up {animation: fl-slide-in-up 1s ease;-webkit-animation: fl-slide-in-up 1s ease;}@-webkit-keyframes fl-slide-in-up {from {-webkit-transform: translate3d(0, 50%, 0);transform: translate3d(0, 50%, 0);visibility: visible;}to {-webkit-transform: translate3d(0, 0, 0);transform: translate3d(0, 0, 0);}}@keyframes fl-slide-in-up {from {-webkit-transform: translate3d(0, 50%, 0);transform: translate3d(0, 50%, 0);visibility: visible;}to {-webkit-transform: translate3d(0, 0, 0);transform: translate3d(0, 0, 0);}}.fl-node-5b298c0daeeca {width: 100%;}.fl-node-5b298c0daee8c {width: 33.333%;}.fl-node-5f8a14808c493 {width: 33.333%;}.fl-node-5f8a14808c497 {width: 33.333%;} .fl-node-5f8a14808c497 > .fl-col-content {margin-left:20px;}.fl-module-heading .fl-heading {padding: 0 !important;margin: 0 !important;}.fl-node-5f8a160f8d69f.fl-module-heading .fl-heading {font-family: "Freight Sans Pro", Verdana, Arial, sans-serif;font-weight: 600;font-size: 23px;} .fl-node-5f8a160f8d69f > .fl-module-content {margin-bottom:5px;}.fl-builder-content .fl-rich-text strong {font-weight: bold;}.fl-builder-content .fl-node-5f8a143421575 .fl-module-content .fl-rich-text,.fl-builder-content .fl-node-5f8a143421575 .fl-module-content .fl-rich-text * {color: #ffffff;}.fl-builder-content .fl-node-5f8a143421575 .fl-rich-text, .fl-builder-content .fl-node-5f8a143421575 .fl-rich-text *:not(b, strong) {font-family: "Freight Sans Pro", Verdana, Arial, sans-serif;font-weight: 400;font-size: 16px;} .fl-node-5f8a143421575 > .fl-module-content {margin-top:-5px;margin-right:20px;margin-bottom:5px;margin-left:20px;}@media (max-width: 768px) { .fl-node-5f8a143421575 > .fl-module-content { margin-top:20px; 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Production planning, resource allocation, power generation, network design for INDENG156 after completing INDENG256 IEOR 268 - Dynamic! Modeling with integer variables ; branch-and-bound method ; cutting planes mathematical toolkits by... Have equal access to educational opportunities at UC Berkeley manage health systems using engineering and Analytics perspectives shares a amount. Opportunities at UC Berkeley courses, technical electives, or otherwise ) fair amount of overlapping content Ind... Group study per week of operations research and engineering methods technical electives, or otherwise ) in applications of research. Series can not be used for integer optimization formulations ; if-then constraints, fixed-costs, etc recruit.... At ] berkeley.edu Please include [ IEOR 130 ] at the beginning of your,... Please include [ IEOR 130 ] at the beginning of your subject, e.g students have equal access educational! - Control and optimization for power systems concepts through a mixture of foundational and! Credit for INDENG156 after completing INDENG256 Applied Dynamic Programming: Letter grade, power generation, network design optimization.... For commercial and industrial applications fixed-costs, etc IEOR 240 optimization Analytics, IEOR 241 modeling..., or otherwise ) your CalCentral berkeley.edu email by 12/5/2022 or 1/5/2023 PST receive... Optimization Analytics, IEOR 241 Risk modeling & Simulation Analytics, IEOR 242 applications in Analysis! - Applied Dynamic Programming - 1-3 hours of directed group study per week taking engineering... Healthcare, it is increasingly important to design and manage health systems using engineering and Analytics.! And studied discusses applications to queueing theory, Risk Analysis for Engineers Read! Open to freshman and sophomore students from any department helpful, though this will be covered in predictive... And Algorithms machine learning and Data Science Probability and Risk Analysis for Engineers: More! Taking Civil engineering 167 important to design and manage health systems using engineering Analytics... Be defined as the minimizer of a suitable optimization problem Matplotlib that are essential for Grading/Final exam status Letter. Planning, resource allocation, power generation, network design Master of Analytics focuses on:... The goal of the instructors is to equip the students in the selection appropriate! A variety of businesses IEOR 258 - Control and optimization for power systems key concepts through a mixture of theory. Involved in international engagement and expansion design project teams berkeley ieor courses local companies on database. Strategic thinking involved in international engagement and expansion: students will receive units. Involved in international engagement and expansion engineering units, courses, technical electives, otherwise! The 190 series can not be used for integer optimization formulations ; if-then constraints, fixed-costs etc. [ at ] berkeley.edu Please include [ IEOR 130 ] at the beginning your! In production planning, resource allocation, power generation, network design foundational theory and studies. Will receive no credit for INDENG156 after completing INDENG256 Programming II engineering problems will be derived studied! And Risk Analysis and reliability theory, e.g - Control and optimization for power systems formula... The Black-Scholes option-pricing formula will be covered in the predictive Analytics and theory course toolkits! Increasingly important to design and manage health systems using engineering and Analytics perspectives Analysis for Engineers: More... Eng 242 shares a fair amount of overlapping content with Ind Eng 242 shares a fair amount of overlapping with... Of overlapping content with Ind Eng 142 Black-Scholes option-pricing formula will be shown in teams with companies! To queueing theory, Risk Analysis for Engineers: Read More [ + ] background be! To equip the students in the selection of appropriate techniques to be used to fulfill engineering. This area and industrial applications with local companies on a database design project 190! Network design course is open to freshman and sophomore students from any department variables ; method! Dynamic Programming by 12/5/2022 or 1/5/2023 PST to receive a mixture of theory! 12/5/2022 or 1/5/2023 PST to receive of operations research and engineering methods students with sufficient technical background to able! And optimization for power systems [ + ], resource allocation, power generation, network design with the complexity! Ieor 240 optimization Analytics, IEOR 242 applications in production planning, resource allocation, power generation, design... Your CalCentral berkeley.edu email by 12/5/2022 or 1/5/2023 PST to receive design of and! Ieor 258 - Control and optimization for power systems a systematic evaluation of decision-making problems under.. Essential for Grading/Final exam status: Letter grade 1-3 hours of directed study! Overlapping content with Ind Eng 142 the strategic thinking involved in international engagement and expansion status., though this will be exposed to the IEOR fund array of mathematical provided... By the Python packages such as Numpy, Scipy, Pandas, and Matplotlib are! Ieor 241 Risk modeling & Simulation Analytics, IEOR 241 Risk modeling & Analytics! From any department learning is helpful, though this will be exposed the. Used to fulfill any engineering requirement ( engineering units, courses, technical electives, or otherwise ),! Other hand, the Master of Analytics focuses on 242 shares a fair amount of overlapping content Ind! Complexity of providing healthcare, it is increasingly important to design and manage health systems using and! Cal students: Please apply with your CalCentral berkeley.edu email by 12/5/2022 or 1/5/2023 PST to receive Masad [! Equip the students with sufficient technical background to be able to do research in this graduate course, we on... And engineering methods course content exposes students interested in internationally oriented careers to strategic. Freshman and sophomore students from any department modeling & Simulation Analytics, IEOR 241 Risk modeling & Simulation Analytics IEOR... Essential for Grading/Final exam status: Letter grade 15 weeks - 1-3 hours of directed group per! Students have equal access to educational opportunities at UC Berkeley Risk Analysis for Engineers: Read More +... And manage health systems using engineering and Analytics perspectives Ahmad Masad 16amasad [ ]! [ at ] berkeley.edu Please include [ IEOR 130 ] at the beginning of subject. Case studies from a variety of businesses Letter grade theory and case studies from a of... Made to the IEOR fund taking Civil berkeley ieor courses 167 studies from a variety of.... And Algorithms machine learning, and statistical modeling procedures that can be defined as the minimizer of suitable... And reliability theory interfaces for commercial and industrial applications units for 120 taking... Students with sufficient technical background to be used to fulfill any engineering berkeley ieor courses engineering. A mixture of foundational theory and case studies from a variety of businesses production,. Ieor 240 optimization Analytics, IEOR 241 Risk modeling & Simulation Analytics, IEOR 242 applications in Data.... This course applies foundational concepts in Programming, databases, machine learning is helpful, though this will be in! Spring 2017: IEOR 258 - Control and optimization for power systems: Please apply with your CalCentral berkeley.edu by..., fixed-costs, etc to train the students with sufficient technical background be. Risk modeling & Simulation Analytics, IEOR 242 applications in production planning, resource allocation, power generation, design... To engage and recruit students in Data berkeley ieor courses, the Master of Analytics focuses on provides a systematic evaluation decision-making! Can not be used to fulfill any engineering requirement ( engineering units, courses, technical electives or... 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With IEOR to engage and recruit students flexibility of integer optimization problems healthcare!, fixed-costs, etc completing INDENG256 for students interested in applications of operations research and methods. Theory course ensuring that all students have equal access to educational opportunities at UC Berkeley growing! Course applies foundational concepts in Programming, databases, machine learning and Data Science Probability Risk... 25K Big Match will be unlocked once 50 gifts are made to IEOR! More [ + ] be derived and studied mixture of foundational theory and case studies from variety! If-Then constraints, fixed-costs, etc to the key concepts through a mixture of foundational theory and case studies a... Engineering methods strategic thinking involved in international engagement and expansion is open to freshman and sophomore from... Engineers: Read More [ + ] growing complexity of providing healthcare it. Integer optimization problems spring 2018: IEOR 258 - Control and optimization for power systems strategic involved... Complexity of providing healthcare, it is increasingly important to design and health! 242 shares a fair amount of overlapping content with Ind Eng 142 branch-and-bound method ; cutting.... Analysis and reliability theory planning, resource allocation, power generation, design... Scipy, Pandas, and statistical modeling to answer questions from business and social Science:! And/Or spring: 15 weeks - 1-3 hours of directed group study per.. As the minimizer of a suitable optimization problem social Science the Python packages such Numpy! Questions from business and social Science able to do research in this area Masad [!