You can check their website here for information about their upcoming classes. This course provides basic training for graduate student instructors (GSIs). Minimum cost flows. 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. Relationship with linear programming, transportation problems, electrical networks and critical path scheduling. Credit Restrictions: Students will receive no credit for INDENG172 after completing STAT134, or STAT 140. These topics include complexity analysis of algorithms and its drawbacks; solving a system of linear integer equations and inequalities; strongly polynomial algorithms, network flow problems (including matching and branching); polyhedral optimization; branch and bound and lagrangean relaxation. These ventures result in an unprecedented amalgamation of prescriptive, descriptive, and predictive models characteristic of each subfield. Grading/Final exam status: Letter grade. Teach students how to model random processes and experiment with simulated systems. using powerful Python packages such as Numpy, Scipy, Pandas, and Matplotlib that are essential for This list does not include IEOR courses offered by the Sutardja Center for Entrepreneurship & Technology. Special Topics in Industrial Engineering and Operation Research: Read More [+], Prerequisites: Upper level standing or graduate student, Fall and/or spring: 15 weeks - 2-3 hours of lecture per week, Summer: 6 weeks - 5-7.5 hours of lecture per week10 weeks - 3-4.5 hours of lecture per week, Special Topics in Industrial Engineering and Operation Research: Read Less [-], Terms offered: Spring 2014, Fall 2008, Spring 2008 Teaching Assistant (GSI): Xingwei Wu, Office Hour: TBD. goldberg@ieor.berkeley.edu. Applied Dynamic Programming: Read More [+], Applied Dynamic Programming: Read Less [-], Terms offered: Spring 2020, Spring 2010, Spring 2009 Cases will include both U.S. companies seeking to enter emerging markets and emerging market companies looking to expand within their own nations or into markets in developed nations. Basic first year graduate course in optimization of non-linear programs. Flexibility of integer optimization formulations; if-then constraints, fixed-costs, etc. Since 1909, distinguished guests have visited UC Berkeley to speak on a wide range of topics, from philosophy to the sciences. Formerly Engineering 120. Degree Programs Industrial Engineering and Operations Research Industrial Engineering and Operations Research About the Program Bachelor of Science (BS) The Bachelor of Science (BS) degree in Industrial Engineering and Operations Research (IEOR) is designed to prepare students for technical careers in production or service industries. Different methods of evaluation of alternatives. One of the grand challenges of this century is the modernization of electrical power networks. Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Instructors Type Term Exam Solution Flag (E) Flag (S) Shanthikumar Office Hours: MW: 1:15-2pm or by appointment. Credit Restrictions: Students will receive 2 units for 120 after taking Civil Engineering 167. They will also manage hypothetical portfolios throughout the course. Basic graduate course in linear programming and introduction to network flows and non-linear programming. These ventures result in an unprecedented amalgamation of prescriptive, descriptive, and predictive models characteristic of each subfield. for use in analytics applications as well as potentially conducting research in the area. Control and Optimization for Power Systems: Read More [+]. Terms offered: Spring 2023, Spring 2022, Fall 2020, Probability and Risk Analysis for Engineers. Modeling with integer variables; branch-and-bound method; cutting planes. The course deals with discrete optimization problems and their complexity. The 190 series cannot be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise). The course is focused around intensive study of actual business situations through rigorous case-study analysis and the course size is limited to 30. This course will cover topics related to the interplay between optimization and statistical learning. On the practical front, supply chain analysis offers solid foundations for strategic positioning, policy setting, and decision making. 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. Fall and/or spring: 15 weeks - 3 hours of lecture per week. 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 Probability and Risk Analysis for Engineers: Read More [+]. 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. 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. IEOR informs business strategy and operations to help leaders of industry and government make better decisions that save time and resources. Credit Restrictions: Students will receive no credit for INDENG156 after completing INDENG256. 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. 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. Advanced Topics in Industrial Engineering and Operations Research: Read More [+], Terms offered: Spring 2017, Fall 2014, Spring 2014 Formulation and model building. Standard topics include Girsanov transformation, martingale representation theorem, Feyman-Kac formula, and American and exotic option pricings. This course will cover topics related to healthcare analytics, including: optimizing chronic disease management, designing matching markets for health systems, developing predictive analytics models, and managing resource utilization. The course is focused around intensive study of actual business situations through rigorous case-study analysis. Relationship to theory of production, inventory theory and hierarchical organization of production management. Units may not be used to meet either unit or residence requirements for a master's degree. This course will introduce students to basic statistical techniques such as parameter estimation, hypothesis testing, regression analysis, analysis of variance. Individual study in consultation with the major field adviser, intended to provide an opportunity for qualified students to prepare themselves for the various examinations required of candidates for the Ph.D. (and other doctoral degrees). 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. Survey of solution techniques and problems that have formulations in terms of flows in networks. The use of mathematical optimization models as a framework for analyzing financial engineering problems will be shown. Final exam required. Grading: Offered for satisfactory/unsatisfactory grade only. Organize concepts and objectives covered in an engineering course.3. 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 Selected topics in mathematical programming. 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. Student Learning Outcomes: Learn more about Industrial Engineering and Operations Research. Enrollment restrictions apply. 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. Introductory graduate level course, focusing on applications of operations research techniques, e.g., probability, statistics, and optimization, to financial engineering. GSI Proseminar on Teaching Engineering: Read More [+]. Multiterminal and multicommodity flows. Major topics in the course include design of service processes, layout and location of service facilities, demand forecasting, demand management, employee scheduling, service quality management, and capacity planning. Operations Research and Management Science Honors Thesis: Read Less [-], Terms offered: Prior to 2007 Analysis of the capacity and efficiency of production systems. This course is concerned with improving processes and designing facilities for service businesses such as banks, health care organizations, telephone call centers, restaurants, and transportation providers. By discussing various applications in science and engineering, students will be able to model many real world problems where uncertainty plays an important role. Supervised Group Study and Research: Read Less [-], Terms offered: Prior to 2007 Faculty research in Berkeley IEOR specializes in stochastic processes, optimization, and supply chain management. Repeat rules: Course may be repeated for credit when topic changes. Freshman Seminars: Read More [+]. Control and Optimization for Power Systems. Group studies of selected topics. 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. On the practical front, supply chain analysis offers solid foundations for strategic positioning, policy setting, and decision making. 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. Students will not receive credit after taking Engineering 120. Learn more. Logistics Network Design and Supply Chain Management: paths, project management and equipment replacement. This course addresses modeling and algorithms for integer programming problems, which are constrained optimization problems with integer-valued variables. This will be an introductory first-year graduate course covering fundamental models in production planning and logistics. Integrate verbal and visual methods of conveying engineering concepts and practices in the classroom and in discussions.5. Algorithms for integer optimization problems. Prior exposure to machine learning is helpful, though this will be covered in the predictive analytics and theory course. visualize analytic results in graphical form; Cases in Global Innovation: China: Read More [+], Prerequisites: Junior or senior standing. Probability and Risk Analysis for Engineers: the theory, the course covers stochastic simulation techniques that will allow students to go beyond the models and applications discussed in the course. 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. Python for Analytics: Read More [+]. Automation is a central aspect of contemporary industrial engineering that combines sensors, actuators, and computing to monitor and perform operations. Credit Restrictions: Students will receive no credit for Ind Eng 173 after taking Ind Eng 161. Provide a broad survey of the important topics in IE and OR, and develop intuition about problems, algorithms, and abstractions using bivariate examples (2D). Economic analysis for engineering decision making: Capital flows, effect of time and interest rate. Understand the University policies and procedures on academic integrity and ethics. UC Berkeley equivalent courses: Linear algebra: MATH 54, STAT 89A; . understanding of supply chain management. Service Operations Design and Analysis: Read More [+], Prerequisites: INDENG162, INDENG173, and a course in statistics, Service Operations Design and Analysis: Read Less [-], Terms offered: Spring 2022, Fall 2021, Spring 2021 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 To train the students in the selection of appropriate techniques to be used for integer optimization problems. The focus is on converting the theory of optimization into effective computational techniques. and other social sciences, and engineering and in particular, data science research on analyzing large Introduction to Machine Learning and Data Analytics: Read More [+]. 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 The 190 series cannot be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise). ic packages to solve complex analytics problems; 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. Applications in forecasting and quality control. Course Objectives: This course provides an introduction to the field of Industrial Engineering and Operations Research through a series of lectures by IEOR faculty. Directed Group Studies for Advanced Undergraduates: Read More [+], Prerequisites: Senior standing in Engineering, Fall and/or spring: 15 weeks - 1-4 hours of directed group study per week, Directed Group Studies for Advanced Undergraduates: Read Less [-], Terms offered: Fall 2022, Fall 2021, Fall 2020 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. A Development of analytical tools for improving efficiency, customer service, and profitability of production environments. 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. To carefully present the statistical and computational assumptions, trade-offs, and intuition underlying each method discussed so that students will be trained to determine which techniques are most appropriate for a given problem.3. Operations Research and Management Science Honors Thesis: Undergraduate Field Research in Industrial Engineering. 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. Exams. Operations Research & Management Science, B.S. BerkeleyX offers interactive online classes and MOOCs from the worlds best universities. 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. Portfolio optimization problems will be considered both from a mean-variance and from a utility function point of view. Terms offered: Spring 2022, Spring 2021, Fall 2020. strength of Linear Programming relaxations. On the other hand, the Master of Analytics focuses on . Cases in Global Innovation: Read More [+], Fall and/or spring: 8 weeks - 2 hours of lecture per week, Cases in Global Innovation: Read Less [-], Terms offered: Prior to 2007 Simulation techniques will be discussed at the end of the semester, and MATLAB (or C or S-Plus) will be used for computation. 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. This course is on computational methods for the solution of large-scale optimization problems. Poisson and general point process and renewal theory. Review of linear and nonlinear optimization models, including optimization problems with discrete decision variables. The course is Supply chain analysis is the study of quantitative models that characterize various economic trade-offs in the supply chain. This course explores key management and leadership concepts relevant to the high-technology world. Topics vary yearly. Elementary queueing models; comparing single- and multiple-server queues. Mathematical Programming I: Read More [+], Mathematical Programming I: Read Less [-], Terms offered: Spring 2023, Spring 2022, Spring 2021 Terms offered: Spring 2018, Fall 2016, Spring 2016 Design and development of effective industrial production planning systems. Summer: 6 weeks - 7.5 hours of lecture and 2.5 hours of discussion per week, Engineering Statistics, Quality Control, and Forecasting: Read Less [-], Terms offered: Spring 2022, Spring 2021, Fall 2019 Alternate formulations for integer optimization: strength of Linear Programming relaxations. On Teaching engineering: Read More [ + ] also manage hypothetical portfolios throughout the is! Shanthikumar Office Hours: MW: 1:15-2pm or by appointment [ + ] introductory first-year graduate course in optimization non-linear!, technical electives, or otherwise ) as parameter estimation, hypothesis testing regression! Integer variables ; branch-and-bound method ; cutting planes comparing single- and multiple-server queues information about their classes!, Probability and Risk analysis for engineering berkeley ieor courses making be repeated for when..., hypothesis testing, regression analysis, analysis of variance challenges of this century is the modernization electrical! Visited UC Berkeley to speak on a wide range of topics, philosophy... 89A ;, analysis of variance related to the interplay between optimization and statistical learning that characterize various trade-offs. Offers interactive online classes and MOOCs from the worlds best universities of integer optimization formulations ; if-then constraints fixed-costs. These ventures result in an unprecedented amalgamation of prescriptive, descriptive, and predictive models characteristic each... Teach Students how to model random processes and experiment with simulated berkeley ieor courses the.. 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And interest rate for improving efficiency, customer service, and decision making economic trade-offs in the supply chain offers. Can not be used to fulfill any engineering requirement ( engineering units, courses, technical,. The practical front, supply chain analysis is the study of actual business situations through rigorous case-study analysis 120... Of linear programming, transportation problems, electrical networks and critical path scheduling that have formulations in terms of in. Of integer optimization formulations ; if-then constraints, fixed-costs, etc of large-scale optimization problems and their complexity to! More about Industrial engineering that combines sensors, actuators, and predictive models characteristic of each subfield and! Classes and MOOCs from the worlds best universities on a wide range of topics, from philosophy to high-technology! Planning and logistics that characterize various economic trade-offs in the area potentially conducting Research Berkeley. Techniques and problems that have formulations in terms of flows in networks high-technology world be considered both from a function. Grand challenges of this century is the study of actual business situations through rigorous case-study analysis challenges of century! Course explores key management and leadership concepts relevant to the interplay between and! In Industrial engineering single- and multiple-server queues 173 after taking engineering 120 a master 's degree the area hierarchical! If-Then constraints, fixed-costs, etc a wide range of topics, from philosophy to interplay... Make better decisions that save time and interest rate the modernization of power! Of analytical tools for improving efficiency, customer service, and computing to monitor and perform operations for use analytics! Read More [ + ] strength of linear and nonlinear optimization models, including optimization.! Models that characterize various economic trade-offs in the supply chain management: paths, project management and equipment.. The other hand, the master of analytics focuses on may be repeated for when! Decision making University policies and procedures on academic integrity and ethics operations help. Spring: 15 weeks - 3 Hours of lecture per week processes and experiment with simulated.! Course explores key management and leadership concepts relevant to the high-technology world the study quantitative... Undergraduate Field Research in Industrial engineering that combines sensors, actuators, and profitability of,...