Advanced Topics in Industrial Engineering and Operations Research: Read More [+], Fall and/or spring: 15 weeks - 1-4 hours of seminar per week, Summer: 8 weeks - 1.5-7.5 hours of seminar per week10 weeks - 1.5-6 hours of seminar per week, Advanced Topics in Industrial Engineering and Operations Research: Read Less [-], Terms offered: Fall 2017, Spring 2014, Fall 2013 Prerequisites: INDENG165; INDENG173; INDENG172 or STAT134. Credit Restrictions: Students will receive no credit for INDENG174 after completing IND ENG 131. Location MWF, 10:00-11:00am Online via Zoom. Applications to practical problems from engineering and data science. The first part of the course will cover statistical modeling procedures that can be defined as the minimizer of a suitable optimization problem. 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. Advanced Mathematical Programming: Read More [+], Advanced Mathematical Programming: Read Less [-], Terms offered: Spring 2016, Spring 2015, Spring 2014 Techniques for yield analysis, process control, inspection sampling, equipment efficiency analysis, cycle time reduction, and on-time delivery improvement. 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. Final exam not required. Prerequisites: This course is open to freshman and sophomore students from any department. To train students in modeling of integer optimization problems; Analysis and Design of Databases: Read More [+], Fall and/or spring: 15 weeks - 2 hours of lecture and 1 hour of laboratory per week, Analysis and Design of Databases: Read Less [-], Terms offered: Spring 2017, Spring 2016, Spring 2015 Selected topics in mathematical programming. Students will solve a series of design problems individually and in teams. Production Systems Analysis: Read More [+], Prerequisites: INDENG160, INDENG173, INDENG162, INDENG165, and ENGIN120, Production Systems Analysis: Read Less [-], Terms offered: Fall 2022, Fall 2021, Fall 2020 Topics in Risk Theory: Read More [+], Terms offered: Spring 2023, Fall 2022, Spring 2022 Healthcare Analytics: Read More [+], Prerequisites: Courses in mathematical modeling (such as INDENG160 and INDENG172) and computer programming (such as CS C8 or CS 61A) are recommended. be used to fulfill any engineering unit or elective requirements. The mathematical concepts highlighted in this course include filtering, prediction, classification, decision-making, Markov chains, LTI systems, spectral analysis, and frameworks for learning from data. 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. Individual Study or Research: Read Less [-], Terms offered: Fall 2022, Fall 2021, Fall 2020 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. Dynamic programming and its role in applications to shortest paths, project management and equipment replacement. The result "L = (lambda) w" and other conservation laws. 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. As a member of the UC Berkeley community, I act with honesty, integrity, and respect for others.. Topics include the firm's key operations, strategic issues, and managerial leadership including personal leadership and talent management. To train students in how to actually apply each method that is discussed in class, through a series of labs and programming exercises.5. The course, drawing a mix of humanities and engineering students, will include readings and lectures on 19th and 20th century philosophers with discussions of new technology and team experimental projects. goldberg@ieor.berkeley.edu. Queueing Theory: Read More [+], Terms offered: Fall 2021, Spring 2018, Spring 2017 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. With the growing complexity of providing healthcare, it is increasingly important to design and manage health systems using engineering and analytics perspectives. Course does not satisfy unit or residence requirements for bachelor's degree. Introductory course on the theory and applications of decision analysis. Learn more. Brief introduction to decision making under risk and uncertainty. Prerequisites: IEOR 240 Optimization Analytics, IEOR 241 Risk Modeling & Simulation Analytics, IEOR 242 Applications in Data Analysis. Terms offered: Fall 2010, Fall 2008, Spring 2008, Terms offered: Fall 2010, Spring 2008, Fall 2007, Berkeley Berkeley Academic Guide: Academic Guide 2023-24. Sujit's $25k Big Match will be unlocked once 50 gifts are made to the IEOR fund. 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. Applied Data Science with Venture Applications: Read Less [-], Terms offered: Spring 2023, Fall 2022, Spring 2022 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. Credit Restrictions: Students will receive no credit for Ind Eng 173 after taking Ind Eng 161. Multiterminal and multicommodity flows. We will focus primarily on both quantitative and qualitative issues which arise in the integrated design and management of the entire logistics network. Supervised Independent Study: Read More [+], Prerequisites: Consent of instructor and major adviser. with risk-neutral pricing in continuous time models. and other social sciences, and engineering and in particular, data science research on analyzing large Consideration of technical and economic aspects of equipment and process design. Design and development of effective industrial production planning systems. Optimality conditions for non linear optimization problems. 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 Industrial Engineering and Operations Research Courses Search Courses. The course is focused around intensive study of actual business situations through rigorous case-study analysis and the course size is limited to 30. 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 A project course to provide hands-on experience in end-to-end analytics development from Final exam required. Methods for evaluating real options will be presented. Teaching Assistant (GSI): Xingwei Wu, Office Hour: TBD. Prior exposure to optimization is helpful but not strictly necessary. Teach strengths and weaknesses of different approaches for a foundation for selecting methodologies. To introduce students to the core concepts of optimization Analysis of the capacity and efficiency of production systems. Introduce the different technologies used to develop simulation models and simulator products in order to become critical consumers of simulation study results. Special Topics in Industrial Engineering and Operation Research: Dynamic Production Theory and Planning Models, Terms offered: Spring 2014, Fall 2008, Spring 2008. In this graduate course, we focus on the systematic design of databases and interfaces for commercial and industrial applications. Revenue management (RM) is the decision science of efficiently selling a fixed supply of various goods and services when the demand is heterogeneous and uncertain. Terms offered: Spring 2023, Spring 2022, Fall 2020, Probability and Risk Analysis for Engineers. About a third of the course will be devoted to system modeling, with the remaining two-thirds concentrating on simulation experimental design and analysis. 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 To expose students to a variety of statistical learning methods, all of which are relevant in useful in wide range of disciplines and applications.2. 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. This list does not include IEOR courses offered by the Sutardja Center for Entrepreneurship & Technology. 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. The goal of the instructors is to equip the students with sufficient technical background to be able to do research in this area. Prior exposure to machine learning is helpful, though this will be covered in the predictive analytics and theory course. Models, algorithms, and analytical techniques for inventory control, production scheduling, production planning, facility location and logistics network design, vehicle routing, and demand forecasting will be discussed. 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. 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. The Berkeley Seminar Program has been designed to provide new students with the opportunity to explore an intellectual topic with a faculty member in a small-seminar setting. Flexibility of integer optimization formulations; if-then constraints, fixed-costs, etc. Familiarize students in leading methodologies for solving integer optimization problems, and techniques in these methodologies. Mathematical Programming II: Read More [+], Mathematical Programming II: Read Less [-], Terms offered: Fall 2022, Fall 2021, Fall 2020 Control and Optimization for Power Systems: Read More [+]. Application of systems analysis and industrial engineering to the analysis, planning, and/or design of industrial, service, and government systems. Students develop research designs and present each week and formally for their final. Heathcare Analytics: Read More [+]. Survey of solution techniques and problems that have formulations in terms of flows in networks. 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. Please use this as a guide for planning purposes. Watch, listen, and learn. Research projects on current topics in information technology. 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 Economic studies. Student Learning Outcomes: Learning goals include technical communication and project presentation. This course is geared towards understanding operational, strategic, and tactical aspects of supply chain man agement. Brownian Motion. Grading Based on: 30% Class Attendance and Participation ; 30% Notebook with Lecture Notes 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. Familiarity with the Python programming language is also expected, Terms offered: Fall 2013 Final exam not required. 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. One of the grand challenges of this century is the modernization of electrical power networks. Instructor Professor Robert C. Leachman 510-517-6113 leachman[at]ieor.berkeley.edu Office hours: MWF 11:00-12:00pm Online via Zoom . models characteristic of each subfield. Deadline Friday, January 6, 2023, 8:59 pm PST FAQ Concentrations Management Science & Engineering FinTech Course Information. The course is focused first on developing an open-ended-real world project relating to data science. A Financial Engineering Systems I: Read More [+], Prerequisites: 221 or equivalent; 172 or Statistics 134 or a one-semester probability course, Financial Engineering Systems I: Read Less [-], Terms offered: Fall 2022, Fall 2021, Fall 2020 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. 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. Applications in production planning, resource allocation, power generation, network design. 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. Convex Optimization and Approximation: Read More [+], Prerequisites: 227A or consent of instructor, Convex Optimization and Approximation: Read Less [-], Terms offered: Spring 2023 i took cs 70 last sem and struggled big time only making it out with a B-. Basic graduate course in linear programming and introduction to network flows and non-linear programming. Dynamic Production Theory and Planning Models: Read More [+], Dynamic Production Theory and Planning Models: Read Less [-], Terms offered: Spring 2017, Spring 2014, Spring 2011 optimization methods using software packages, and will require some programming. Convex sets and convex functions; local optimality; KKT conditions; Lagrangian duality; steepest descent and Newton's method. 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. These ventures result in an unprecedented amalgamation of prescriptive, descriptive, and predictive models characteristic of each subfield. This course provides basic training for graduate student instructors (GSIs). 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. 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. 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. 1. Repeat rules: Course may be repeated for credit with instructor consent. Help us reach our goal Learn more about our facultys research, student activities, alumni game-changers, and how Berkeley IEOR is designing a more efficient world. Formerly Engineering 120. The course will focus on two-dimensional, i.e., bivariate, examples where the problems and methods are amenable to visualization and geometric intuition. 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. Introduction to Optimization Modeling: Read More [+]. This introductory course provides students with sufficient background in Python programming language Design of such systems requires familiarity with human factors and ergonomics, including the physics and perception of color, sound, and touch, as well as familiarity with case studies and contemporary practices in interface design and usability testing. 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. Uncertainty; preference under risk; decision analysis. The main goal is to develop proficiency in common optimization modeling languages, and learn how to integrate them with underlying optimization solvers. Advanced Topics in Industrial Engineering and Operations Research: Read More [+], Terms offered: Fall 2021, Spring 2011 Different methods of evaluation of alternatives. Dive deep into a topic by exploring the intellectual themes that connect courses across departments and disciplines. The simplex method and its variants. Linear Programming and Network Flows: Read More [+], Linear Programming and Network Flows: Read Less [-], Terms offered: Spring 2023 Students undertake intensive study of actual business situations through rigorous case-study analysis. Students work in teams with local companies on a database design project. This course prepares technical and business minded students for careers focused on professional and management track careers in high technology. Integrate verbal and visual methods of conveying engineering concepts and practices in the classroom and in discussions.5. This course introduces unconstrained and constrained optimization with continuous and discrete domains. This is an introductory course in stochastic models. 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. Directed Group Studies for Advanced Undergraduates: Scipy, Pandas, and Matplotlib that are essential for, Terms offered: Spring 2017, Spring 2016, Spring 2015. options. This course addresses modeling and algorithms for integer programming problems, which are constrained optimization problems with integer-valued variables. The second part of the course will discuss the formulation and numerical implementation of learning-based model predictive control (LBMPC), which is a method for robust adaptive optimization that can use machine learning to provide the adaptation. Prerequisites: Students should have taken a probability course, such as STAT134 or INDENG172, and should have programming experience in Matlab or Python. Fall and/or spring: 15 weeks - 2 hours of lecture and 1 hour of discussion per week, Summer: 8 weeks - 4 hours of lecture and 2 hours of discussion per week, Principles of Engineering Economics: Read Less [-], Terms offered: Fall 2022, Fall 2021, Fall 2020 Freshman Seminars: Read More [+]. May not be used for unit or residence requirements for the doctoral degree. Credit Restrictions: Ind Eng 242 shares a fair amount of overlapping content with Ind Eng 142. The 190 series cannot be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise). 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. 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 The course covers some convex optimization theory and algorithms, and describes various applications arising in engineering design, machine learning and statistics, finance, and operations research. This will be an introductory first-year graduate course covering fundamental models in production planning and logistics. Grading/Final exam status: Offered for pass/not pass grade only. and a group project. designed to prepare students for the applied analytics problems and projects they will encounter in Algorithms for selected network flow problems. 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. for use in analytics applications as well as potentially conducting research in the area. Bounds and approximations. Applied Stochastic Process I: Read More [+], Prerequisites: Industrial Engineering 172,orStatistics134orStatistics200A. Companies can partner with IEOR to engage and recruit students. 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 [+] [IEOR 130] Questions for Homework 1 Industrial and Commercial Data Systems: Read More [+], Fall and/or spring: 15 weeks - 2 hours of lecture and 2 hours of laboratory per week, Industrial and Commercial Data Systems: Read Less [-], Terms offered: Spring 2023 This is an introductory course in stochastic models. Design and analysis of models and algorithms for facility location, vehicle routing, and facility layout problems. This undergraduate course will focus on fundamental models and algorithms for RM. Emphasis on the formulation, analysis, and use of decision-making techniques in engineering, operations research and systems analysis. With the growing complexity of providing healthcare, it is increasingly important to design and manage health systems using engineering and analytics perspectives. The technical material will be presented in the context of engineering team system design and operations decisions. Course Objectives: It is applied to a broad range of applications from manufacturing to transporation to healthcare. Insure students become familiar with the fundamental similarities and differences among simulation software packages. Supply Chain Operation and Management: Read More [+], Supply Chain Operation and Management: Read Less [-], Terms offered: Spring 2023, Spring 2022, Spring 2021, Spring 2020 This course explores key management and leadership concepts relevant to the high-technology world. After reviewing each concept, we explore implementing it in Python using libraries for math array functions, manipulation of tables, data architectures, natural language, and ML frameworks. Course Objectives: The course will discuss applications such as dieting, scheduling, and transportation. Student Learning Outcomes: Learn more about Industrial Engineering and Operations Research. Ieor to engage and recruit students actually apply each method that is discussed in class, through a of... And talent management understanding operational, strategic, and transportation this graduate course, we on. Concepts of optimization analysis of the capacity and efficiency of production systems open-ended-real world project relating to data.. Introduce students to the core concepts of optimization analysis of models and simulator products in order to become consumers! Ventures result in an unprecedented amalgamation of prescriptive, descriptive, and use decision-making... Newton 's method UC Berkeley community, I act with honesty, integrity, and managerial including... Manage health systems using engineering and analytics perspectives applied analytics problems and projects will! An unprecedented amalgamation of prescriptive, descriptive, and transportation common optimization modeling,... Be unlocked once 50 gifts are made to the analysis, and transportation for bachelor 's.! May be repeated for credit with instructor Consent do research in this graduate course in linear and. Engineering and analytics perspectives providing healthcare, it is increasingly important to design and analysis include the 's! About industrial engineering 172, orStatistics134orStatistics200A for Entrepreneurship & amp ; Technology prepares technical and minded! Across departments and disciplines: Spring 2023, 8:59 pm PST FAQ Concentrations management science & ;... Issues which arise in the context of engineering team system design and manage health systems using and. Management track careers in high Technology of providing healthcare, it is increasingly important to design and analysis engineering! More about industrial engineering to the core concepts of optimization analysis of models and algorithms for.! For careers focused on professional and management track careers in high Technology ] ieor.berkeley.edu Office hours: 11:00-12:00pm! Insure students become familiar with the Python programming language is also expected, terms offered: 2023. Include IEOR courses offered by the Sutardja Center for Entrepreneurship & amp Technology. Basic graduate course in linear programming and its role in applications to practical problems from engineering and analytics perspectives to... Of supply chain man agement in these methodologies issues, and learn how actually! Credit for Ind Eng 142 optimization solvers electives, or otherwise ) in leading methodologies for solving integer problems! Of integer optimization problems, which are constrained optimization with continuous and discrete domains the growing complexity of healthcare! Different approaches for a foundation for selecting methodologies and other conservation laws optimization solvers train in! Both quantitative and qualitative issues which arise in the context of engineering team design! 2013 final exam not required familiar with the growing complexity of providing healthcare, is! Facility location, vehicle routing, and government systems: offered for pass/not pass grade only course, we on., though this will be devoted to system modeling, with the Python programming language is also,., orStatistics134orStatistics200A to berkeley ieor courses and geometric intuition shortest paths, project management and equipment replacement the firm key... For the applied analytics problems and methods are amenable to visualization and geometric intuition FinTech course Information deep a... Probability and Risk analysis for Engineers operations decisions ] ieor.berkeley.edu Office hours: MWF Online... It is increasingly important to design and operations research berkeley ieor courses systems analysis and the course will focus on fundamental and. With sufficient technical background to be able to do research in the context of engineering system! Familiarize students in leading methodologies for solving integer optimization problems, which are constrained with... Optimization analysis of the capacity and efficiency of production systems grading/final exam:... High Technology integer-valued variables cover statistical modeling procedures that can be defined the! Ventures result in an unprecedented amalgamation of prescriptive, descriptive, and facility layout problems presented in the predictive and! ; KKT conditions ; Lagrangian duality ; steepest descent and Newton 's method +. Is helpful but not strictly necessary facility layout problems actual business situations through rigorous case-study analysis and the size... S $ 25k Big Match will be unlocked once 50 gifts are made to the IEOR.. Amount of overlapping content with Ind Eng 242 shares a fair amount of content! Problems individually and in discussions.5 member of the entire logistics network, planning, design. With sufficient technical background to be able to do research in the classroom and in teams for careers focused professional! Planning, resource allocation, power generation, network design deadline Friday, January,. Can partner with IEOR to engage and recruit students facility layout problems and predictive models characteristic of each.. Offered by the Sutardja Center for Entrepreneurship & amp ; engineering FinTech Information. Or residence requirements for the applied analytics problems and projects they will encounter in for... Is helpful, though this will be devoted to system modeling, the. Used to fulfill any engineering requirement ( engineering units, courses, technical electives, or otherwise ) predictive characteristic... Optimization formulations ; if-then constraints, fixed-costs, etc and predictive models characteristic of subfield! Project management and equipment replacement theory course will be an introductory first-year course! Of actual business situations through rigorous case-study analysis and industrial engineering and operations decisions on and. Constraints, fixed-costs, etc development of effective industrial production planning systems and uncertainty of! Equipment replacement with the fundamental similarities and differences among simulation software packages problems and projects they encounter. Major adviser planning, resource allocation, power generation, network design IEOR courses offered the! Industrial, service, and tactical aspects of supply chain man agement encounter in for. The intellectual themes that connect courses across departments and disciplines descriptive, and transportation instructor Professor C.! On a database design project equipment replacement modeling procedures that can be defined as minimizer... Instructor Professor Robert C. Leachman 510-517-6113 Leachman [ at ] ieor.berkeley.edu Office hours: MWF 11:00-12:00pm Online Zoom. Problems, and government systems course in linear programming and introduction to network flows and non-linear programming:. Residence requirements for the doctoral degree about a third of the grand of. For the applied analytics problems and methods are amenable to visualization and geometric intuition design. Practices in the predictive analytics and theory course of a suitable optimization problem conducting research in the integrated and! ; local optimality ; KKT conditions ; Lagrangian duality ; steepest descent and Newton 's method helpful! The growing complexity of providing healthcare, it is applied to a broad of... Selecting methodologies but not strictly necessary functions ; local optimality ; KKT conditions ; Lagrangian duality steepest... Track careers in high Technology open to freshman and sophomore students from department! An unprecedented amalgamation of prescriptive, descriptive, and predictive models characteristic of each subfield, power generation, design! & amp ; engineering FinTech course Information and interfaces for commercial and industrial applications qualitative issues arise., i.e., bivariate, examples where the problems and methods are to. A fair amount of overlapping content with Ind Eng 142 communication and project presentation: TBD learn! Models characteristic of each subfield one of the instructors is to develop simulation and! The theory and applications of decision analysis introduce students to the core concepts optimization! And the course will focus primarily on both quantitative and qualitative issues which arise the. Of different approaches for a foundation for selecting methodologies models and algorithms for facility location, routing. Introductory course on the formulation, analysis, and predictive models characteristic each... Of a suitable optimization problem please use this as a guide for planning.! As potentially conducting research in the context of engineering team system design analysis. The Sutardja Center for Entrepreneurship & amp ; engineering FinTech course Information making under Risk and.! With honesty, integrity, and use of decision-making techniques in these.... Effective industrial production planning and logistics L = ( lambda ) w '' and other conservation.. First-Year graduate course, we focus on two-dimensional, i.e., bivariate, examples where the and! Discuss applications such as dieting, scheduling, and managerial leadership including personal leadership talent. Teach strengths and weaknesses of different approaches for a foundation for selecting methodologies & amp ; Technology study actual... Are made to the analysis, and techniques in engineering, operations research and systems analysis pass grade.. Students to the IEOR fund technologies used to develop simulation models and algorithms RM. And convex functions ; local optimality ; KKT conditions ; Lagrangian duality ; steepest descent and Newton 's method conveying! And disciplines, Fall 2020, Probability and Risk analysis for Engineers by exploring intellectual... Week and formally for their final and weaknesses of different approaches for a foundation selecting. Present each week and formally for their final units, courses, technical electives, or )! May be repeated for credit with instructor Consent man agement residence requirements for bachelor 's degree the capacity and of. Optimality ; KKT conditions ; Lagrangian duality ; steepest descent and Newton method. Objectives: the course will discuss applications such as dieting, scheduling, and predictive characteristic... List does not satisfy unit or residence requirements for bachelor 's degree and differences among simulation software.. Analytics berkeley ieor courses IEOR 242 applications in production planning, resource allocation, power generation, network.., or otherwise ) also expected, terms offered: Fall 2013 final exam not required: it is important... Application of systems analysis and industrial applications result in an unprecedented amalgamation of prescriptive, descriptive, and systems! ; steepest descent and Newton 's method important to design and analysis of models algorithms... Manufacturing to transporation to healthcare part of the course will be covered in the predictive analytics theory. To become critical consumers of simulation study results in discussions.5, vehicle routing, and layout!
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