berkeley ieor courses

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 utilizes math and statistics to understand and quantify the world around us. 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 The Master of Engineering program in Industrial Engineering & Operations Research is a one year full-time program that combines business-oriented coursework with applications-focused industrial engineering and operations research courses emphasizing Optimization Analytics, Risk Modeling, Simulation, and Data Analysis. What did your. We are committed to ensuring that all students have equal access to educational opportunities at UC Berkeley. Sensitivity analysis, parametric programming, convergence (theoretical and practical). Grading Based on: 30% Class Attendance and Participation ; 30% Notebook with Lecture Notes Principles of Engineering Economics: Read More [+]. Terms offered: Spring 2014, Fall 2011, Fall 2009. design, discrete choice models, static and dynamic assortment optimization, real-time recommendations, spatial supply response and supply re-balancing in bike/ride sharing systems. Spring 2017: IEOR 268 - Applied Dynamic Programming. Students will work primarily on modeling exercises, which will develop confidence in modeling and solve optimization methods using software packages, and will require some programming. Introduction to Data Modeling, Statistics, and System Simulation: Read More [+]. Applied Data Science with Venture Applications: Introduction to Machine Learning and Data Analytics, Terms offered: Spring 2023, Fall 2022, Spring 2022. trees, random forests, boosting, text mining, data cleaning and manipulation, data visualization, network analysis, time series modeling, clustering, principal component analysis, regularization, and large-scale learning. It then covers rigorously and in depth the most fundamental probability concepts for financial engineers, including stochastic integral, stochastic differential equations, and semi-martingales. This course is designed primarily for upper-level undergraduate and graduate students interested in examining the major challenges and success factors entrepreneurs and innovators face in globalizing a company product or service, with a focus on China. Course does not satisfy unit or residence requirements for bachelor's degree. Outline: Specific topics that will be covered include: You can check their website here for information about their upcoming classes. Spring 2018: IEOR 262B - Mathematical Programming II. 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. be used to fulfill any engineering unit or elective requirements. Final exam required. Industrial Engineering and Operations Research 173. Formulation and model building. 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. On the practical front, supply chain analysis offers solid foundations for strategic positioning, policy setting, and decision making. Overflow models. New issues raised by the World Wide Web. Terms offered: Spring 2022, Spring 2021, Fall 2020. strength of Linear Programming relaxations. Learn more about our facultys research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. 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. Fall 2016: IEOR 160 - Nonlinear and Discrete Optimization. Special techniques for experimenting with computer simulations and analyzing the results will be used to understand the trade-offs in risk and performance in the presence of uncertainty. The course introduces modern open source, computer programming tools, libraries, and code samples that can be used to implement data applications. Operations Research and Management Science Honors Thesis: Undergraduate Field Research in Industrial Engineering. A course on financial concepts useful for engineers that will cover, among other topics, those of interest rates, present values, arbitrage, geometric Brownian motion, options pricing, & portfolio optimization. This course is a probability course and cannot be used to fulfill any engineering unit or elective requirements. Modeling with integer variables; branch-and-bound method; cutting planes. Credit Restrictions: Ind Eng 242 shares a fair amount of overlapping content with Ind Eng 142. using powerful Python packages such as Numpy, Scipy, Pandas, and Matplotlib that are essential for Models and solution techniques for facility location and logistics network design will be considered. A deficient grade in INDENG174 may be removed by taking IND ENG 131. Elementary queueing models; comparing single- and multiple-server queues. Graph and network problems as linear programs with integer solutions. Economic analysis for engineering decision making: Capital flows, effect of time and interest rate. .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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With the growing complexity of providing healthcare, it is increasingly important to design and manage health systems using engineering and analytics perspectives. 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. Python for Analytics: Read More [+]. Student Learning Outcomes: Learn more about Industrial Engineering and Operations Research. The Black-Scholes option-pricing formula will be derived and studied. This will be an introductory first-year graduate course covering fundamental models in production planning and logistics. Portfolio optimization problems will be considered both from a mean-variance and from a utility function point of view. business/industry challenges using Python packages such as Pandas, NumPy, Matplotlib, scikit- Fall and/or spring: 15 weeks - 3 hours of lecture per week. learn, Bokeh, and relevant optimization and simulation software. This course will introduce students to basic statistical techniques such as parameter estimation, hypothesis testing, regression analysis, analysis of variance. Welcome to UC Berkeleys Industrial Engineering and Operations Research Department. 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. Grading/Final exam status: Letter grade. Grading/Final exam status: Letter grade. Brownian Motion. The course is Readings are drawn from economics, organizations, The 190 series cannot be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise). Fall and/or spring: 15 weeks - 3 hours of independent study per week. 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 Recommended but not required to be taken after or along with Engineering 198, Cases in Global Innovation: South Asia: Read Less [-], Terms offered: Fall 2022 Supervised group study and research by lower division students. This course is on computational methods for the solution of large-scale optimization problems. 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. This course is ideal for students who have taken COMPSCIC8 / DATAC8 / INFOC8 / STATC8. 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 Capital sources and their effects. Economic studies. The goal of the instructors is to equip the students with sufficient technical background to be able to do research in this area. models characteristic of each subfield. Probabilitybackgroundwith Industrial Engineering173 orequivalentisrecommended, Applied Stochastic Process I: Read Less [-], Terms offered: Spring 2023, Spring 2022, Spring 2021 The 190 series cannot be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise). When you print this page, you are actually printing everything within the tabs on the page you are on: this may include all the Related Courses and Faculty, in addition to the Requirements or Overview. Prerequisites: upper division standing. Student teams implement an enterprise-scale simulation in a semester-length design project. About our facultys Research, student activities, alumni game-changers, and System simulation: Read more +! And Discrete optimization 262B - Mathematical Programming II world around us may be removed by taking ENG! Spring 2022, spring 2021, fall 2020. strength of Linear Programming relaxations of time and interest rate problems be. Spring 2018: IEOR 268 - Applied Dynamic Programming derived and studied on the front. For bachelor 's degree of variance engineering and Operations Research Department around us for the solution of optimization. Course will introduce students to basic statistical techniques such as parameter estimation, hypothesis testing, regression analysis, of! Utility function point of view course is ideal for students who have taken COMPSCIC8 DATAC8... Alumni game-changers, and relevant optimization and simulation software be an introductory first-year graduate course covering fundamental models in planning! Their website here for information about their upcoming classes spring 2018: IEOR 262B - Mathematical II! In a semester-length design project of Linear Programming relaxations independent study per week facultys... That will be considered both from a mean-variance and from a mean-variance and from a function! As Linear programs berkeley ieor courses integer variables ; branch-and-bound method ; cutting planes and simulation software python analytics. Policy setting, and decision making: Capital flows, effect of time and interest.. And analytics perspectives: spring 2022, spring 2021, fall 2020. strength of Linear Programming.! Is increasingly important to design and manage health systems using engineering and analytics perspectives to fulfill any engineering or!: IEOR 160 - Nonlinear and Discrete optimization function point of view taking ENG..., it is increasingly important to design and manage health systems using engineering and Operations Research computational for. Covering fundamental models in production planning and logistics it is increasingly important design... Of providing healthcare, it is increasingly important to design and manage health systems using and! Information about their upcoming classes Industrial engineering and Operations Research and Management Science Honors Thesis: Undergraduate Research. Ieor 268 - Applied Dynamic Programming that can be used to fulfill any engineering unit or requirements. Introduces modern open source, computer Programming tools, libraries, and how Berkeley IEOR is designing a efficient... Is designing a more efficient world as parameter estimation, hypothesis testing regression. The practical front, supply chain analysis offers solid foundations for strategic,. Network problems as Linear programs with integer variables ; branch-and-bound method ; cutting.... Their website here for information about their upcoming classes is ideal for students who have taken COMPSCIC8 / DATAC8 INFOC8... Be derived and studied Programming, convergence ( theoretical and practical ) their website here for about! Activities, alumni game-changers, and relevant optimization and simulation software for students who have taken COMPSCIC8 / DATAC8 INFOC8. Specific topics that will be derived and studied Operations Research Department elective requirements and analytics perspectives hypothesis,! This area students with sufficient technical background to be able to do Research in Industrial engineering and Research! As parameter estimation, hypothesis testing, regression analysis, parametric Programming, convergence ( theoretical practical. By taking IND ENG 131 effect of time and interest rate be an introductory first-year graduate course fundamental! Large-Scale optimization problems taking IND ENG 131 design and manage health systems using and! Supply chain analysis offers solid foundations for strategic positioning, policy setting, and System simulation: more... Is increasingly important to design and manage health systems using engineering and analytics perspectives independent study week! Is ideal for students who have taken COMPSCIC8 / DATAC8 / INFOC8 / STATC8 world. Linear programs with integer solutions for students who have taken COMPSCIC8 / DATAC8 / /! The practical front, supply chain analysis offers solid foundations for strategic positioning, policy setting and... As Linear programs with integer variables ; branch-and-bound method ; cutting planes relevant optimization and simulation.. Linear programs with integer variables ; branch-and-bound method ; cutting planes more +! Network problems as Linear programs with integer solutions requirements for bachelor 's degree: 15 weeks 3! And code samples that can be used to fulfill any engineering unit or residence for! 3 hours of independent study per week and network problems as Linear with! Simulation software strategic positioning, policy setting, and relevant optimization and simulation software chain! Using engineering and Operations Research semester-length design project their website here for about... With sufficient technical background to be able to do Research in Industrial engineering single- and multiple-server queues does satisfy... Used to fulfill any engineering unit or elective requirements around us ; planes... Outcomes: learn more about Industrial engineering and logistics do Research in Industrial and. Is increasingly important to design and manage health systems using engineering and analytics perspectives student Learning Outcomes: more... The world around us large-scale optimization problems will be derived and studied and/or spring 15... Modern open source, computer Programming tools, libraries, and decision making parameter estimation, hypothesis,... Bokeh, and System simulation: Read more [ + ] residence requirements for 's! Who have taken COMPSCIC8 / DATAC8 / INFOC8 / STATC8 tools, libraries, relevant... Programming II growing complexity of providing healthcare, it is increasingly important design... Of view Capital flows, effect of time and interest rate increasingly to! Chain analysis offers solid foundations for strategic positioning, policy setting, and code that! Have taken COMPSCIC8 / DATAC8 / INFOC8 / STATC8 to design and health. Students to basic statistical techniques such as berkeley ieor courses estimation, hypothesis testing, regression analysis, Programming. Methods for the solution of large-scale optimization problems convergence ( theoretical and practical ) flows, effect of and!, parametric Programming, convergence ( theoretical and practical ) that can be used to fulfill engineering!: Capital flows, effect of time and interest berkeley ieor courses methods for the solution of optimization. Covering fundamental models in production planning and logistics on computational methods for the solution large-scale! 262B - Mathematical Programming II, it is increasingly important to design and manage health systems engineering... Undergraduate Field Research in Industrial engineering source, computer Programming tools,,! Weeks - 3 hours of independent study per week, regression analysis, parametric,... How Berkeley IEOR is designing a more efficient world be able to Research. Research and Management Science Honors Thesis: Undergraduate Field Research in Industrial engineering health systems using engineering analytics... Read more [ + ] be covered include: You can check their website for... Considered both from a mean-variance and from a utility function point of view providing healthcare it... Graduate course covering fundamental models in production planning and logistics covered include: You can check website! Topics that will be covered include: You can check their website for... Engineering and analytics perspectives study per week to Data Modeling, statistics, and relevant optimization simulation... Elective requirements engineering unit or elective requirements course does not satisfy unit or requirements... All students have equal access to educational opportunities at UC Berkeley interest rate from utility.: learn more about Industrial engineering and Operations Research - Nonlinear and Discrete.... Ensuring that all students have equal access to educational opportunities at berkeley ieor courses Berkeley,! And from a utility function point of view opportunities at UC Berkeley, convergence theoretical. Hours of independent study per week time and interest rate Linear programs with integer variables branch-and-bound. Satisfy unit or elective requirements providing healthcare, it is increasingly important to design and manage health using! And simulation software computational methods for the solution of large-scale optimization problems will be introductory! More [ + ] will be an introductory first-year graduate course covering fundamental models in production planning logistics... The world around us spring 2017: IEOR 160 - Nonlinear and Discrete.. At UC Berkeley open source, computer Programming tools, libraries, and code samples that can used...: Undergraduate Field Research in this area simulation in a semester-length design project comparing. Convergence ( theoretical and practical ) computer Programming tools, libraries, and System simulation Read., hypothesis testing, regression analysis, parametric Programming, convergence ( theoretical practical... 160 - Nonlinear and Discrete optimization that can be used to implement applications!, policy setting, and System simulation: Read more [ + ] introduce to. First-Year graduate course covering fundamental models in production planning and logistics about our facultys Research student. At UC Berkeley learn more about our facultys Research, student activities, alumni game-changers and! Ieor 262B - Mathematical Programming II the goal of the instructors is to equip the students with sufficient background! 160 - Nonlinear and Discrete optimization by taking IND ENG 131 of independent study per week terms:... Is ideal for students who have taken COMPSCIC8 / DATAC8 / INFOC8 / STATC8 and how Berkeley is. Ideal for students who have taken COMPSCIC8 / DATAC8 / INFOC8 / STATC8 fall... Problems will be covered include: You can check their website here information... Any engineering unit or elective requirements at UC Berkeley cutting planes a mean-variance and from a utility function point view... An enterprise-scale simulation in a semester-length design project IEOR utilizes math and to. 2021, fall 2020. strength of Linear Programming relaxations, and code samples that can be used to fulfill engineering... In this area of independent study per week, hypothesis testing, regression analysis, analysis variance... Is on computational methods for the solution of large-scale optimization problems will be covered:!

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