Designing performance metrics to effectively measure and align the activities of functional groups and individuals within the firm. Entrepreneurship Doctoral Research Seminar. 1-3 Unit. Wireless and mobile networking. How to make optimal decisions in the presence of uncertainty, solution techniques for large-scale systems resulting from decision problems under uncertainty, and applications in finance. Key functions of finance in both large and small companies, and the core concepts and key analytic tools that provide their foundation. Search engines and recommendation systems. 3 Units. Graduate students will present their ongoing research to an audience of faculty and graduate students with a diversity of disciplinary perspectives regarding sustainable energy. A total of 90 units is required to complete the dual master’s degree. Limited enrollment. Topics will be drawn from the following list, depending on time constraints and class interest: approaches to data analysis: statistics (frequentist, Bayesian) and machine learning; binary classification; regression; bootstrapping; causal inference and experimental design; multiple hypothesis testing. Applications, theories, and algorithms for finite-dimensional linear and nonlinear optimization problems with continuous variables. Developing decision models that capture the tradeoffs between policy alternatives. Connections will be made to graph-theoretic investigations common in the study of social networks. Prerequisite: CME 100 or MATH 51. The Department of Management Science & Engineering leads at the interface of engineering, business, and public policy. An important component of the class is a research project aimed at understanding a focused issue in reinforcement learning. MS&E 296. Advanced students will make presentations designed for first-year doctoral students regardless of area. Introduction to Optimization. Students are encouraged to plan their academic programs as early as possible, ideally in the freshman or sophomore year. Prerequisites: MS&E 211, 245A, 245B, or equivalents, some exposure to statistics and programming. Healthcare Operations Management. Introduction to Finance and Investment. Limited enrollment. Will then draw on techniques from operations research and economics to explore the design of resource allocation platforms in emerging applications including housing, humanitarian logistics, volunteer coordination, food allocation, conservation and sustainability, and informal markets in the developing world. Topics: basic interest rates; evaluating investments: present value and internal rate of return; fixed-income markets: bonds, yield, duration, portfolio immunization; term structure of interest rates; measuring risk: volatility and value at risk; designing optimal portfolios; risk-return tradeoff: capital asset pricing model and extensions. The program leading to the B.S. Each course session will be devoted to a specific MS&E PhD research area. Student presentations on current research. Management Science and Engineering spans engineering, business and public policy, including areas such as data modeling, behavioral science, finance, entrepreneurship, risk, operations and … This course is equally applicable to EE, CS, and Bioengineering students. The Law School may approve courses from MS&E or courses in the student’s MS&E program from outside of the Department of Management Science and Engineering that may count toward the J.D. Restricted to PhD students, or by consent of instructor. This committee plans the student’s program jointly with the student. Stanford engineers, computer scientists, data scientists, mathematicians and other professionals are building systems for lending, investment and portfolio management decisions that determine future economic and social growth. Other courses in MS&E, Economics, Finance, Scientific Computing, or Statistics at the MS&E 300-level (or comparable in other departments) may be chosen after consulting with the dissertation adviser. For those students who are interested in a career in Patent Law, please note that this course is a prerequisite for ME238 Patent Prosecution. Relevant 200 or 300 level MS&E course in probability or stochastics (e.g. 3 Units. program should spend a substantial amount of full time residency in MS&E. Entrepreneurial Management and Finance. Stage 1 and 2 … Product Managers define a product's functional requirements and lead cross functional teams responsible for development, launch, and ongoing improvement. The Program's affiliated faculty represent over a dozen departments, including Anthropology, Communication, Computer Science, Education, Electrical Engineering, History, Law, Management Science and Engineering, From our beginnings as a merger of three existing departments—Operations Research, Industrial Engineering-Engineering Management, and Engineering-Economic Systems—we have become one of the most respected Management Science and Engineering departments in the … For each of these problems, we formulate a suitable Markov Decision Process (MDP), develop Dynamic Programming (DP) solutions, and explore Reinforcement Learning (RL) algorithms. A maximum of three units of 1-unit courses such as seminars, colloquia, workshops, in any department, including MS&E 208A, B, C, and D Practical Training, and MS&E 208E Part-Time Practical Training. The role of prices, duality, optimality conditions, and algorithms in finding and recognizing solutions. Global Entrepreneurial Marketing. Current emphasis on approaches to incorporation of uncertainty and technology dynamics into complex systems models. degree, a dual master’s degree in cooperation with each of the other departments in the School of Engineering, and joint master's degrees with the School of Law and the Public Policy Program. Innovation, Creativity, and Change. Prerequisite: 220 or equivalent. The maximum number of law school credits that may be counted toward the M.S. Economics of risk management. All programs represent substantial progress in the major field beyond the bachelor’s degree. Computational Social Choice. On July 30, the Academic Senate adopted grading policies effective for all undergraduate and graduate programs, excepting the professional Graduate School of Business, School of Law, and the School of Medicine M.D. The undergraduate curriculum in Management Science and Engineering provides students training in the fundamentals of engineering systems analysis to prepare them to plan, design, and implement complex economic and technological management systems where a scientific or engineering background is necessary or desirable. No prior knowledge of design, engineering, or computer science required. MS&E 391. Financial Theory and Modeling (select one): Optimization and Analytics (select whichever of optimization or analytics wasn't taken for core): Quantitative Methods and Financial Applications (select three): Operations and Analytics Concentration (four courses required). Directed reading and research on a subject of mutual interest to student and faculty member. Introduction to Game Theory. MS&E 338. Energy and Environmental Policy Analysis. Students choosing F&D as their primary area must take at least two of, Intermediate (has prerequisites and/or appropriate for juniors and seniors), Advanced (intended primarily for graduate students, but may be taken by advanced undergraduates), Students choosing O&A as their primary area may also include one of, Organizations, Technology, and Policy Area, Advanced (has prerequisites and/or appropriate for juniors and seniors), Prerequisites (two courses; letter-graded or CR/NC), Minor requirements (seven courses; all letter-graded), Electives (select any two 100- or 200-level MS&E courses). MS&E 235. Attitudes toward ethical dilemmas through an explicit personal code. 1-2 Unit. MS&E 277A. Limited enrollment. They inform students and advisers about University and department requirements, procedures, opportunities, and maintain the official records of adviser assignments and course approvals. The nature of work is changing, with consequences for how we structure jobs, careers, teams, organizations, and labor markets. MS&E 326. There are no prerequisites, but students should come prepared to use high school level mathematics and deductive reasoning. Mathematical Programming and Combinatorial Optimization. Practical introduction to financial risk analytics. Framework to identify factors relevant to adoption of new medical devices, and the management of those factors in the design and development phases. Stochastic optimization (likelihood ratio method, perturbation analysis, stochastic approximation). MS&E 234. 3 Units. Social Data Analysis. In this course we will survey these results and cover the key algorithmic tools they leverage to achieve these breakthroughs. Modeling, case studies, and term project. The department’s mission is, through 3-4 Units. Topics: Basic Algebraic Graph Theory, Matroids and Minimum Spanning Trees, Submodularity and Maximum Flow, NP-Hardness, Approximation Algorithms, Randomized Algorithms, The Probabilistic Method, and Spectral Sparsification using Effective Resistances. Departments. 2020-2021 Program Sheets In order to approve your AP or IB credit the SoE Office of Student Affairs will need to see your unofficial Stanford transcript; forward this and your major Program Sheet to Darlene Lazar via email . The digital revolution arrived with the promise of improving human life, including through its ability to transform the way in which we make social decisions. The Careers and Collaborative Services is dedicated to connecting students to career development opportunities. Due to the fact that it is near impossible to perform experiments in finance, there is a need for empirical inference and intuition, any model should also be justified in terms of plausibility that goes beyond pure econometric and data mining approaches. 3 Units. Qualitative and analytical basis for assessment, modeling, control, and mitigation of network risks. 4 Units. We cover techniques for collecting and parsing data, methods for large-scale machine learning, and principles for effectively communicating results. Each course session is devoted to a specific MS&E Ph.D. research area. Students interested in a minor should see the Minor tab in this section. Contact The lists may differ depending on whether the student is pursuing an M.S. Emphasis on managing high-growth, early-stage enterprises, especially those with innovation-based products and services. MS&E 322. master’s students have breadth as well as depth. But one of the most common critiques today is that unstructured interactions in social media and online platforms have actually set us back by spreading fake news, amplifying polarization, and failing to aggregate our diverse views and opinions into collective choices that move our society forward. Theories: finite dimensional derivatives, convexity, optimality, duality, and sensitivity. Grading is based on response papers, class participation, and a final project. Interest in either joint degree program should be noted on the student’s admission applications and may be considered by the admission committee of each program. MS&E 297. Enrollment limited. This is precisely what the department educates its students to do. The student must be enrolled in the quarter of their oral examination. Oral presentation and report required. The major prepares students for a variety of career paths, including investment banking, management consulting, facilities and process management, or for graduate school in industrial engineering, operations research, business, economics, law, medicine, or public policy. Serves as an opportunity for students to explore what it means to create and work for principled, entrepreneurial businesses. Intruder detection technologies. The master’s in Management Science and Engineering prepares engineers for a lifelong career addressing the technical and managerial needs of private and public organizations. MS&E 379. Hands-on exercises. Uses a learning-by-doing approach covering the following topics: changing role of a PM at different stages of the product life cycle; techniques to understand customer needs and validate demand; user experience design and testing; role of detailed product specifications; waterfall and agile methods of software development. Key results on single queues and queueing networks. Same as: INTLPOL 256, MS&E 293. to apply knowledge of mathematics, social science, and engineering; to design a system and components to meet desired needs; to identify, formulate, and solve engineering problems; to use techniques, skills, and modern engineering tools necessary for engineering practice; to recognize the need for and demonstrate an ability to engage in life-long learning; to obtain the background necessary for admission to top graduate engineering or professional programs; to understand professional and ethical responsibility; to obtain the broad education necessary to understand the impact of engineering solutions in a global and societal context; and. Minimum combined GPA for all courses in Engineering Topics (Engineering Fundamentals and Depth courses) is 2.0. We will review various systems of preference and information aggregation in small groups as well as large societies, including voting systems, bargaining protocols, and methods of deliberation. Introduction to Optimization. 3 Units. Point processes and their compensators. Primarily for master's students; also open to undergraduates and doctoral students. Pre-requisite: calculus and linear algebra. Prerequisite: 226, CME 195, or equivalents. Advanced Topics in Game Theory with Engineering Applications. Healthcare Systems Design. Prerequisite: CME 100 or MATH 51. No courses taken prior to the first quarter of the sophomore year may be used to meet master’s degree requirements. Admission is by consent of instructor and is limited to 20 students. 3 Units. The course develops an appreciation that innovation in military systems throughout history has followed a repeatable pattern: technology innovation > new weapons > experimentation with new weapons/operational concepts > pushback from incumbents > first use of new operational concepts. May be repeated for credit. Network representations for reasoning under uncertainty: influence diagrams, belief networks, and Markov networks. , or an equivalent multivariable differential calculus course, and CS 106A Programming Methodology, or an equivalent general programming course, before beginning graduate study. The course emphasizes the theory of DP/RL as well as modeling the practical nuances of these finance problems, and strengthening the understanding through plenty of coding exercises of the methods. The course is fast-paced, but it has no prerequisites. ... LinkedIn. California Enrollment limited. After the first quarter at Stanford, students may apply to be admitted to the second department. 3 Units. MS&E 121. The material provides an introduction to applied data analysis, with an emphasis on providing a conceptual framework for thinking about data from both statistical and machine learning perspectives. A written report approved by the supervising faculty member is required on each tutorial. Queuing theory, inventory theory, simulation. Prerequisites: basic mathematical maturity at the level of MATH 51, and probability at the level of MS&E 120, 220 or EE 178. Considering this evidence, the department faculty vote on advancing the student to candidacy in the department at large. Network Structure and Epidemics.