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MS&E 20: Discrete Probability Concepts And Models

Concepts and tools for the analysis of problems under uncertainty, focusing on structuring, model building, and analysis. Examples from legal, social, medical, and physical problems. Topics include axioms of probability, probability trees, belief networks, random variables, conditioning, and expectation.
Terms: Sum | Units: 4 | UG Reqs: WAY-FR
Instructors: ; Shachter, R. (PI)

MS&E 22Q: The Flaw of Averages

Uncertain assumptions in business and public policy are often replaced with single ¿best guess¿ or average numbers. This leads to a fallacy as fundamental as the belief that the earth is flat, which I call the Flaw of Averages. It states, in effect, that: plans based on average assumptions are wrong on average. This class will discuss mitigations of the flaw of averages using simulation and other methods from probability management.
Terms: Aut | Units: 3
Instructors: ; Savage, S. (PI)

MS&E 41: Financial Literacy

Practical knowledge about personal finance and money management including budgeting, pay checks, credit cards, banking, insurance, taxes, and saving. Class especially appropriate for those soon to be self-supporting. Limited enrollment. Admission by order of enrollment in Axess.
Last offered: Spring 2015 | Units: 1

MS&E 52: Introduction to Decision Making

How to ensure focus, discipline, and passion when making important decisions. Comprehensive examples illustrate Decision Analysis fundamentals. Consulting case studies highlight practical solutions for real decisions. Student teams present insights from their analyses of decisions for current organizations. Topics: declaring when and how to make a decision, framing and structuring the decision basis, defining values and preferences, creating alternative strategies, assessing unbiased probabilistic judgments, developing appropriate risk/reward and portfolio models, evaluating doable strategies across the range of uncertain future scenarios, analyzing relevant sensitivities, determining the value of additional information, and addressing the qualitative aspects of communication and commitment to implementation. Not intended for MS&E majors.
Terms: Sum | Units: 3

MS&E 92Q: International Environmental Policy

Preference to sophomores. Science, economics, and politics of international environmental policy. Current negotiations on global climate change, including actors and potential solutions. Sources include briefing materials used in international negotiations and the U.S. Congress.
Terms: Win | Units: 3
Instructors: ; Weyant, J. (PI)

MS&E 93Q: Nuclear Weapons, Energy, Proliferation, and Terrorism

Preference to sophomores. At least 20 countries have built or considered building nuclear weapons. However, the paths these countries took in realizing their nuclear ambitions vary immensely. Why is this the case? How do the histories, cultures, national identities, and leadership of these countries affect the trajectory and success of their nuclear programs? This seminar will address these and other questions about nuclear weapons and their proliferation. Students will learn the fundamentals of nuclear technology, including nuclear weapons and nuclear energy, and be expected to use this knowledge in individual research projects on the nuclear weapons programs of individual countries. Case studies will include France, UK, China, India, Israel, Pakistan, North Korea, South Africa, Libya, Iraq, and Iran, among others. Please note any language skills in your application. Recommended: 193 or 293.
Terms: Spr | Units: 3 | UG Reqs: GER:DB-EngrAppSci

MS&E 107: Interactive Management Science (MS&E 207)

Analytical techniques such as linear and integer programming, Monte Carlo simulation, forecasting, decision analysis, and Markov chains in the environment of the spreadsheet. Probability management. Materials include spreadsheet add-ins for implementing these and other techniques. Emphasis is on building intuition through interactive modeling, and extending the applicability of this type of analysis through integration with existing business data structures.
Terms: Aut | Units: 3 | UG Reqs: GER:DB-EngrAppSci, WAY-AQR

MS&E 108: Senior Project

Restricted to MS&E majors in their senior year. Students carry out a major project in groups of four, applying techniques and concepts learned in the major. Project work includes problem identification and definition, data collection and synthesis, modeling, development of feasible solutions, and presentation of results. Service Learning Course (certified by Haas Center).
Terms: Win | Units: 5

MS&E 111: Introduction to Optimization (ENGR 62)

Formulation and analysis of linear optimization problems. Solution using Excel solver. Polyhedral geometry and duality theory. Applications to contingent claims analysis, production scheduling, pattern recognition, two-player zero-sum games, and network flows. Prerequisite: CME 100 or MATH 51.
Terms: Aut, Spr | Units: 4 | UG Reqs: GER:DB-EngrAppSci

MS&E 112: Mathematical Programming and Combinatorial Optimization (MS&E 212)

Combinatorial and mathematical programming (integer and non-linear) techniques for optimization. Topics: linear program duality and LP solvers; integer programming; combinatorial optimization problems on networks including minimum spanning trees, shortest paths, and network flows; matching and assignment problems; dynamic programming; linear approximations to convex programs; NP-completeness. Hands-on exercises. Prerequisites: 111 or MATH 103, CS 106A or X.
Terms: Win | Units: 3

MS&E 120: Probabilistic Analysis

Concepts and tools for the analysis of problems under uncertainty, focusing on focusing on structuring, model building, and analysis. Examples from legal, social, medical, and physical problems. Topics include axioms of probability, probability trees, random variables, distributions, conditioning, expectation, change of variables, and limit theorems. Prerequisite: CME 100 or MATH 51.
Terms: Aut | Units: 5 | UG Reqs: GER:DB-EngrAppSci, WAY-AQR, WAY-FR

MS&E 121: Introduction to Stochastic Modeling

Stochastic processes and models in operations research. Discrete and continuous time parameter Markov chains. Queuing theory, inventory theory, simulation. Prerequisite: 120, 125, or equivalents.
Terms: Spr | Units: 4 | UG Reqs: GER:DB-EngrAppSci

MS&E 125: Introduction to Applied Statistics

An increasing amount of data is now generated in a variety of disciplines, ranging from finance and economics, to the natural and social sciences. Making use of this information, however, requires both statistical tools and an understanding of how the substantive scientific questions should drive the analysis. In this hands-on course, we learn to explore and analyze real-world datasets. We cover techniques for summarizing and describing data, methods for statistical inference, and principles for effectively communicating results. Prerequisite: 120, CS 106A, or equivalents.
Terms: Win | Units: 4

MS&E 130: Information Networks and Services

Architecture of the Internet and performance engineering of computer systems and networks. Switching, routing and shortest path algorithms. Congestion management and queueing networks. Peer-to-peer networking. Wireless and mobile networking. Information service engineering and management. Search engines and recommendation systems. Reputation systems and social networking technologies. Security and trust. Information markets. Select special topics and case studies. Prerequisites: 111, 120, and CS 106A.
Terms: Win | Units: 3 | UG Reqs: GER:DB-EngrAppSci

MS&E 135: Networks

This course provides an introduction to how networks underly our social, technological, and natural worlds, with an emphasis on developing intuitions for broadly applicable concepts in network analysis. The course will include: an introduction to graph theory and graph concepts; social networks; information networks; the aggregate behavior of markets and crowds; network dynamics; information diffusion; the implications of popular concepts such as "six degrees of separation", the "friendship paradox", and the "wisdom of crowds".
Terms: Spr | Units: 3

MS&E 140: Accounting for Managers and Entrepreneurs (MS&E 240)

Non-majors and minors who have taken or are taking elementary accounting should not enroll. Introduction to accounting concepts and the operating characteristics of accounting systems. The principles of financial and cost accounting, design of accounting systems, techniques of analysis, and cost control. Interpretation and use of accounting information for decision making. Designed for the user of accounting information and not as an introduction to a professional accounting career. Enrollment limited. Admission by order of enrollment.
Terms: Aut, Win, Sum | Units: 3-4

MS&E 140X: Financial Accounting Concepts and Analysis

Introductory course in financial accounting. Accounting is referred to as the language of business. Developing students ability to read, understand, and use business financial statements. Understanding the mapping between the underlying economic events and financial statements, and how this mapping can affect inferences about future firm profitability. Introduction to measuring and reporting of the operating cycle; the process of preparing and presenting primary financial statements; the judgment involved and discretion allowed in making accounting choices; the effects of accounting discretion on the quality of the (reported) financial information; and the fundamentals of financial statement analysis. Class time will be allocated to a combination of lectures, cases and discussions of cases. Capstone project analyzing a company's financials at the end of the quarter. Enrollment limited. Admission by order of enrollment.
Terms: Spr | Units: 2

MS&E 145: Introductory Financial Analysis

Formerly MS&E 142. Evaluation and management of money, complicated by temporary distributions and uncertainty. The "time-value of money" and its impact on economic decisions (both personal and corporate) with the introduction of interest rate (constant or varying over time); several approaches critically examined and made consistent as suitable metrics of comparison. The concept of investment diversification in the presence of uncertainty; portfolio selection and efficient frontier analysis leading to the formulation of the Capital Asset Pricing Model; practical implementation of the concepts, including comparison of loan (e.g., house and auto) terms, credit card financial terms, interest rate term structure and its relationship to rate-of-return analysis, and graphical presentation of uncertain investment alternatives; and current economic news of interest. Critical thinking, discussion, and interaction, using group and computer labs assignments. Prerequisites: 111, 120, CME 100 or MATH 51, or equivalents.
Terms: Aut | Units: 3

MS&E 146: Corporate Financial Management

Key functions of finance in both large and small companies, and the core concepts and key analytic tools that provide their foundation. Making financing decisions, evaluating investments, and managing cashflow, profitability and risk. Designing performance metrics to effectively measure and align the activities of functional groups and individuals within the firm. Structuring relationships with key customers, partners and suppliers. Prerequisite: 145, 245A, 245G or equivalent.
Terms: Win | Units: 4
Instructors: ; Johnson, B. (PI); Wei, Y. (TA)

MS&E 152: Introduction to Decision Analysis (MS&E 152W)

How to make good decisions in a complex, dynamic, and uncertain world. People often make decisions that on close examination they regard as wrong. Decision analysis uses a structured conversation based on actional thought to obtain clarity of action in a wide variety of domains. Topics: distinctions, possibilities and probabilities, relevance, value of information and experimentation, relevance and decision diagrams, risk attitude. Students seeking to fulfill the Writing in the Major requirement should register for MS&E 152W.
Terms: Spr | Units: 3-4 | UG Reqs: GER:DB-EngrAppSci, WAY-AQR, WAY-FR

MS&E 152W: Introduction to Decision Analysis (MS&E 152)

How to make good decisions in a complex, dynamic, and uncertain world. People often make decisions that on close examination they regard as wrong. Decision analysis uses a structured conversation based on actional thought to obtain clarity of action in a wide variety of domains. Topics: distinctions, possibilities and probabilities, relevance, value of information and experimentation, relevance and decision diagrams, risk attitude. Students seeking to fulfill the Writing in the Major requirement should register for MS&E 152W.
Terms: Spr | Units: 3-4 | UG Reqs: GER:DB-EngrAppSci, WAY-AQR, WAY-FR

MS&E 174: Social Entrepreneurship Collaboratory (URBANST 133)

Interdisciplinary student teams create and develop U.S. and international social entrepreneurship initiatives. Proposed initiatives may be new entities, or innovative projects, partnerships, and/or strategies impacting existing organizations and social issues in the U.S. and internationally. Focus is on each team¿s research and on planning documents to further project development. Project development varies with the quarter and the skill set of each team, but should include: issue and needs identification; market research; design and development of an innovative and feasible solution; and drafting of planning documents. In advanced cases, solicitation of funding and implementation of a pilot project. Enrollment limited to 20. May be repeated for credit. Prerequisites: 131 and 132, or consent of instructor.
Terms: Aut, Win | Units: 4 | UG Reqs: WAY-SI | Repeatable for credit

MS&E 175: Innovation, Creativity, and Change

Problem solving in organizations; creativity and innovation skills; thinking tools; creative organizations, teams, individuals, and communities. Limited enrollment. (Katila)
Terms: Win | Units: 3-4

MS&E 177: Creativity Rules

This experiential course explores a wide array of tools that are used to enhance innovation and how those tools are applied across engineering disciplines. Using workshops, demonstrations, and field trips, students will learn how creative problem solving is deployed across engineering fields and, in partnership with the Stanford Virtual Human Interaction Lab, expand their own creative problem solving skills with virtual reality experiences that stretch their imagination. Limited enrollment. Admission by application.
Terms: Aut | Units: 4

MS&E 178: The Spirit of Entrepreneurship

Is there more to entrepreneurship than inventing the better mouse trap? This course uses the speakers from the Entrepreneurial Thought Leader seminar (MS&E472) to drive research and discussion about what makes an entrepreneur successful. Topics include venture financing, business models, and interpersonal dynamics in the startup environment. Students meet before and after MS&E 472 to prepare for and debrief after the sessions. Enrollment limited to 50 students.
Terms: Aut, Win, Spr | Units: 3 | Repeatable for credit

MS&E 180: Organizations: Theory and Management

For undergraduates only; preference to MS&E majors. Classical and contemporary organization theory; the behavior of individuals, groups, and organizations. Limited enrollment. Admission by application. Students must attend first session.
Terms: Aut, Spr | Units: 4

MS&E 181: Issues in Technology and Work for a Postindustrial Economy

How changes in technology and organization are altering work and lives. Approaches to studying and designing work. How understanding work and work practices can assist engineers in designing better technologies and organizations. Topics include job design, distributed and virtual organizations, the blurring of boundaries between work and family life, computer supported cooperative work, trends in skill requirements and occupational structures, monitoring and surveillance in the workplace, downsizing and its effects on work systems, project work and project-based lifestyles, the growth of contingent employment, telecommuting, electronic commerce, and the changing nature of labor relations. Enrollment limited to 50 students. Preference to MS&E, STS, and CEE seniors, followed by MS&E, STS, and CEE juniors.
Last offered: Spring 2015 | Units: 3 | UG Reqs: WAY-SI

MS&E 183: Leadership in Action

Leadership in action is designed with a significant lab component in which students will be working on leadership projects throughout the quarter. The projects will provide students with hands on experience trying out new leadership behaviors in a variety of situations, along with the opportunity to reflect on these experience and, in turn, expand their leadership skills. Limited enrollment. Please submit course application at http://goo.gl/forms/fO61GT1NnY by 6pm on Monday, September 21, 2015.
Terms: Aut | Units: 3

MS&E 185: Global Work

Issues, challenges, and opportunities facing workers, teams, and organizations working across national boundaries. Topics include geographic distance, time zones, language and cultural differences, technologies to support distant collaboration, team dynamics, and corporate strategy. Limited enrollment. Recommended: 180.
Terms: Win, Spr | Units: 4

MS&E 189: Social Networks - Theory, Methods, and Applications

Introduces students to the theoretical, substantive, and methodological foundations of social networks. The social network paradigm seeks to explain how social relations facilitate and constrain an actor's opportunities, behaviors, and cognitions. Topics include: network concepts and principles; network data collection, measurement, and analysis; and applications in management, engineering, and related disciplines. Please submit Winter course application at http://goo.gl/forms/3LXFAYFD9t by 6pm on Monday, January 4, 2016.
Terms: Win | Units: 3

MS&E 190: Methods and Models for Policy and Strategy Analysis

Guest lectures by departmental practitioners. Emphasis is on links among theory, application, and observation. Environmental, national security, and health policy; marketing, new technology, and new business strategy analyses. Comparisons between domains and methods.
Terms: Spr | Units: 3
Instructors: ; Suen, S. (PI); Choi, S. (TA)

MS&E 193: Technology and National Security (MS&E 293)

The interaction of technology and national security policy from the perspective of history to implications for the new security imperative, homeland defense. Key technologies in nuclear and biological weapons, military platforms, and intelligence gathering. Policy issues from the point of view of U.S. and other nations. The impact of terrorist threat. Guest lecturers include key participants in the development of technology and/or policy.
Terms: Aut | Units: 3 | UG Reqs: WAY-SI

MS&E 197: Ethics, Technology, and Public Policy

Ethical issues in science- and technology-related public policy conflicts. Focus is on complex, value-laden policy disputes. Topics: the nature of ethics and morality; rationales for liberty, justice, and human rights; and the use and abuse of these concepts in policy disputes. Case studies from biomedicine, environmental affairs, technical professions, communications, and international relations.
Last offered: Winter 2015 | Units: 5 | UG Reqs: GER:DB-Hum, GER:EC-EthicReas, WAY-ER

MS&E 201: Dynamic Systems

Goal is to think dynamically in decision making, and recognize and analyze dynamic phenomena in diverse situations. Concepts: formulation and analysis; state-space formulation; solutions of linear dynamic systems, equilibria, dynamic diagrams; eigenvalues and eigenvectors of linear systems, the concept of feedback; nonlinear dynamics, phase plane analysis, linearized analysis, Liapunov functions, catastrophe theory. Examples: grabber-holder dynamics, technology innovation dynamics, creation of new game dynamics in business competition, ecosystem dynamics, social dynamics, and stochastic exchange dynamics. Prerequisite: CME 100 or MATH 51 or equivalent.
Terms: Spr | Units: 3-4

MS&E 207: Interactive Management Science (MS&E 107)

Analytical techniques such as linear and integer programming, Monte Carlo simulation, forecasting, decision analysis, and Markov chains in the environment of the spreadsheet. Probability management. Materials include spreadsheet add-ins for implementing these and other techniques. Emphasis is on building intuition through interactive modeling, and extending the applicability of this type of analysis through integration with existing business data structures.
Terms: Aut | Units: 3

MS&E 208A: Practical Training

MS&E students obtain employment in a relevant industrial or research activity to enhance professional experience, consistent with the degree program they are pursuing. Students submit a statement showing relevance to degree program along with offer letter to the Student Services Office before the start of the quarter, and a 2-3 page final report documenting the work done and relevance to degree program at the conclusion of the quarter. Students may take each of A, B, and C once.
Terms: Aut, Win, Spr, Sum | Units: 1

MS&E 208B: Practical Training

MS&E students obtain employment in a relevant industrial or research activity to enhance professional experience, consistent with the degree program they are pursuing. Students submit a statement showing relevance to degree program along with offer letter to the Student Services office before the start of the quarter, and a 2-3 page final report documenting the work done and relevance to degree program at the conclusion of the quarter. Students may take each of A, B, and C once.
Terms: Aut, Win, Spr, Sum | Units: 1

MS&E 208C: Practical Training

MS&E students obtain employment in a relevant industrial or research activity to enhance professional experience, consistent with the degree program they are pursuing. Students submit a statement showing relevance to degree program along with offer letter to the Student Services office before the start of the quarter, and a 2-3 page final report documenting the work done and relevance to degree program at the conclusion of the quarter. Students may take each of A, B, and C once.
Terms: Aut, Win, Spr, Sum | Units: 1

MS&E 208D: Practical Training

MS&E students obtain employment in a relevant industrial or research activity to enhance professional experience, consistent with the degree program they are pursuing. Students submit a one-page statement showing relevance to degree program along with offer letter before the start of the quarter, and a 2-3 page final report documenting the work done and relevance to degree program at the conclusion of the quarter. Students may take each of A, B, and C once, and may petition to take D.
Terms: Aut, Win, Spr | Units: 1

MS&E 211: Linear and Nonlinear Optimization

Optimization theory and modeling. The role of prices, duality, optimality conditions, and algorithms in finding and recognizing solutions. Perspectives: problem formulation, analytical theory, computational methods, and recent applications in engineering, finance, and economics. Theories: finite dimensional derivatives, convexity, optimality, duality, and sensitivity. Methods: simplex and interior-point, gradient, Newton, and barrier. Prerequisite: CME 100 or MATH 51.
Terms: Aut | Units: 3-4

MS&E 212: Mathematical Programming and Combinatorial Optimization (MS&E 112)

Combinatorial and mathematical programming (integer and non-linear) techniques for optimization. Topics: linear program duality and LP solvers; integer programming; combinatorial optimization problems on networks including minimum spanning trees, shortest paths, and network flows; matching and assignment problems; dynamic programming; linear approximations to convex programs; NP-completeness. Hands-on exercises. Prerequisites: 111 or MATH 103, CS 106A or X.
Terms: Win | Units: 3

MS&E 220: Probabilistic Analysis

Concepts and tools for the analysis of problems under uncertainty, focusing on model building and communication: the structuring, processing, and presentation of probabilistic information. Examples from legal, social, medical, and physical problems. Spreadsheets illustrate and solve problems as a complement to analytical closed-form solutions. Topics: axioms of probability, probability trees, random variables, distributions, conditioning, expectation, change of variables, and limit theorems. Prerequisite: CME 100 or MATH 51. Recommended: knowledge of spreadsheets.
Terms: Aut | Units: 3-4

MS&E 221: Stochastic Modeling

Focus is on time-dependent random phenomena. Topics: discrete and continuous time Markov chains, renewal processes, queueing theory, and applications. Emphasis is on building a framework to formulate and analyze probabilistic systems. Prerequisite: 220 or consent of instructor.
Terms: Win | Units: 3

MS&E 223: Simulation

Discrete-event systems, generation of uniform and non-uniform random numbers, Monte Carlo methods, programming techniques for simulation, statistical analysis of simulation output, efficiency-improvement techniques, decision making using simulation, applications to systems in computer science, engineering, finance, and operations research. Prerequisites: working knowledge of a programming language such as C, C++, Java, Python, or FORTRAN; calculus-base probability; and basic statistical methods.
Terms: Spr | Units: 3

MS&E 226: "Small" Data

This course is about understanding "small data": these are datasets that allow interaction, visualization, exploration, and analysis on a local machine. 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. 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. Class lectures will be supplemented by data-driven problem sets and a project. Prerequisites: CME 100 or MATH 51; 120, 220 or STATS 116; experience with R at the level of CME/STATS 195 or equivalent.
Terms: Aut | Units: 3

MS&E 231: Introduction to Computational Social Science (SOC 278)

With a vast amount of data now collected on our online and offline actions -- from what we buy, to where we travel, to who we interact with -- we have an unprecedented opportunity to study complex social systems. This opportunity, however, comes with scientific, engineering, and ethical challenges. In this hands-on course, we develop ideas from computer science and statistics to address problems in sociology, economics, political science, and beyond. We cover techniques for collecting and parsing data, methods for large-scale machine learning, and principles for effectively communicating results. To see how these techniques are applied in practice, we discuss recent research findings in a variety of areas. Prerequisites: introductory course in applied statistics, and experience coding in R, Python, or another high-level language.
Terms: Aut | Units: 3

MS&E 233: Networked Markets

An introduction to economic analysis for modern online services and systems. Topics include: Examples of networked markets. Online advertising. Recommendation and reputation systems. Pricing digital media. Network effects and network externalities. Social learning and herd behavior. Markets and information. Prerequisites: CME 100 or Math 51, and probability at the level of MS&E 220 or equivalent. No prior economics background will be assumed; requisite concepts will be introduced as needed.
Last offered: Spring 2014 | Units: 3

MS&E 235: Analytics in Action

Examines the role of analytics in real-world solutions across different industries. Provides a short introduction on the main concepts of analytics, and addresses common modeling approaches for both supervised (e.g., regression and classification) and unsupervised techniques (e.g., clustering, anomaly detection and pattern recognition), using platforms such as Hadoop and R. Discussion of implementations of these models in various industries, such as manufacturing, retail, banking, marketing, telecom and security. Teams of students will be required to prepare and present an analytics use case, covering aspects related to data collection, pre-processing, modeling, analyses, visualization, recommendations, implementation, business value and ROI. Students will be expected to come prepared to class, ready to discuss the case at hand, and offer their thoughts and insights. Cases will be presented in the context of leading a data science team, much as a Chief Analytics Officer (CAO) would be expected to do. Prerequisite: 226, CME 195, or equivalents.
Terms: Win | Units: 3

MS&E 237: Networks, Markets, and Crowds (CME 237)

The course explores the underlying network structure of our social, economic, and technological worlds and uses techniques from graph theory and economics to examine the structure & evolution of information networks, social contagion, the spread of social power and popularity, and information cascades. Prerequisites: basic graph and probability theory.
Terms: Win, Spr | Units: 3
Instructors: ; Saberi, A. (PI)

MS&E 238: Leading Trends in Information Technology

Focuses on new trends and disruptive technologies in IT. Emphasis on the way technologies create a competitive edge and generate business value. Broad range of views presented by guest speakers, including top level executives of technology companies, and IT executives (e.g. CIOs) of Fortune 1000 companies. Special emphasis in technologies such as Virtualization, Cloud Computing, Security, Mobility and Unified Communications.
Terms: Sum | Units: 3
Instructors: ; Barreto, D. (PI)

MS&E 238A: Leading Trends in Information Technology

Focuses on new trends and disruptive technologies in IT. Emphasis on the way technologies create a competitive edge and generate business value. Broad range of views presented by guest speakers, including top level executives of technology companies, and IT executives (e.g. CIOs) of Fortune 1000 companies. Special emphasis in technologies such as Virtualization, Cloud Computing, Security, Mobility and Unified Communications.
Terms: Sum | Units: 1
Instructors: ; Barreto, D. (PI)

MS&E 240: Accounting for Managers and Entrepreneurs (MS&E 140)

Non-majors and minors who have taken or are taking elementary accounting should not enroll. Introduction to accounting concepts and the operating characteristics of accounting systems. The principles of financial and cost accounting, design of accounting systems, techniques of analysis, and cost control. Interpretation and use of accounting information for decision making. Designed for the user of accounting information and not as an introduction to a professional accounting career. Enrollment limited. Admission by order of enrollment.
Terms: Aut, Win, Sum | Units: 3-4

MS&E 241: Economic Analysis

Principal methods of economic analysis of the production activities of firms, including production technologies, cost and profit, and perfect and imperfect competition; individual choice, including preferences and demand; and the market-based system, including price formation, efficiency, and welfare. Practical applications of the methods presented. Recommended: 211, ECON 50.
Terms: Win | Units: 3-4

MS&E 243: Energy and Environmental Policy Analysis

Concepts, methods, and applications. Energy/environmental policy issues such as automobile fuel economy regulation, global climate change, research and development policy, and environmental benefit assessment. Group project. Prerequisite: MS&E 241 or ECON 50, 51.
Terms: Spr | Units: 3

MS&E 244: Economic Growth and Development

Formerly 249. What generates economic growth. Emphasis is on theory accompanied by intuition, illustrated with country cases. Topics: the equation of motion of an economy; optimal growth theory; calculus of variations and optimal control approaches; deriving the Euler and Pontriaguine equations from economic reasoning. Applications: former planned economies in Russia and E. Europe; the present global crisis: causes and consequences; a comparative study of India and China. The links between economic growth and civilization; the causes of the rise and decline of civilizations; lessons for the future. Intended for graduate students. Prerequisite: multivariate calculus and permission of instructor. To receive permission, submit an application at http://web.stanford.edu/~lcottle/forms/244app.fb
Terms: Sum | Units: 3

MS&E 245A: Investment Science

Formerly MS&E 242. Introduction to the basic concepts of modern quantitative finance and investments. Focus is on basic principles and how they are applied in practice. 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 security portfolios; the capital asset pricing model. Group projects involving financial market data. No prior knowledge of finance required. Appropriate for engineering or science students wishing to apply their quantitative skills to develop a basic understanding of financial modeling and markets. Prerequisite: basic preparation in probability, statistics, and optimization.
Terms: Aut | Units: 3

MS&E 245B: Advanced Investment Science

Formerly MS&E 342. Topics: forwards and futures contracts, continuous and discrete time models of stock price behavior, geometric Brownian motion, Ito's lemma, basic options theory, Black-Scholes equation, advanced options techniques, models and applications of stochastic interest rate processes, and optimal portfolio growth. Computational issues and general theory. Teams work on independent projects. Prerequisite: 245A.
Terms: Win | Units: 3
Instructors: ; Ohlrogge, M. (PI)

MS&E 245G: Finance for Non-MBAs (ECON 135)

For graduate students and advanced undergraduates. The foundations of finance; applications in corporate finance and investment management. Financial decisions made by corporate managers and investors with focus on process valuation. Topics include criteria for investment decisions, valuation of financial assets and liabilities, relationships between risk and return, market efficiency, and the valuation of derivative securities. Corporate financial instruments including debt, equity, and convertible securities. Equivalent to core MBA finance course, FINANCE 220. Prerequisites:ECON 50, ECON 102A, or equivalents; ability to use spreadsheets, and basic probability and statistics concepts including random variables, expected value, variance, covariance, and simple estimation and regression.
Terms: Spr | Units: 3
Instructors: ; Asriyan, V. (PI)

MS&E 246: Financial Risk Analytics

Practical introduction to financial risk analytics, focusing on data-driven modeling, computation, and statistical estimation of credit and market risks. Case studies based on real data will be emphasized. Topics include mortgage risk, asset-backed securities, commercial lending, consumer delinquencies, crowd funding, transactions analytics, derivatives risk. Tools from machine learning and statistics will be developed. Data sources will be discussed. Intended to enable students to design and implement risk analytics tools in practice. Prerequisite: 245A or similar, some background in probability and statistics, working knowledge of R, Matlab, or similar computational/statistical package.
Terms: Win | Units: 3
Instructors: ; Giesecke, K. (PI)

MS&E 250A: Engineering Risk Analysis

The techniques of analysis of engineering systems for risk management decisions involving trade-offs (technical, human, environmental aspects). Elements of decision analysis; probabilistic risk analysis (fault trees, event trees, systems dynamics); economic analysis of failure consequences (human safety and long-term economic discounting); and case studies such as space systems, nuclear power plants, and medical systems. Public and private sectors. Prerequisites: probability, decision analysis, stochastic processes, and convex optimization.
Terms: Win | Units: 3

MS&E 250B: Project Course in Engineering Risk Analysis

Students, individually or in groups, choose, define, formulate, and resolve a real risk management problem, preferably from a local firm or institution. Oral presentation and report required. Scope of the project is adapted to the number of students involved. Three phases: risk assessment, communication, and management. Emphasis is on the use of probability for the treatment of uncertainties and sensitivity to problem boundaries. Limited enrollment. Prerequisites: MS&E 250A and consent of instructor.
Terms: Spr | Units: 3

MS&E 251: Stochastic Control (EE 266)

Introduction to stochastic control, with applications taken from a variety of areas including supply-chain optimization, advertising, finance, dynamic resource allocation, caching, and traditional automatic control. Markov decision processes, optimal policy with full state information for finite-horizon case, infinite-horizon discounted, and average stage cost problems. Bellman value function, value iteration, and policy iteration. Approximate dynamic programming. Linear quadratic stochastic control. Formerly EE365. Prerequisites: EE 263, EE 178 or equivalent.
Terms: Spr | Units: 3

MS&E 252: Decision Analysis I: Foundations of Decision Analysis

Coherent approach to decision making, using the metaphor of developing a structured conversation having desirable properties, and producing actional thought that leads to clarity of action. Socratic instruction; computational problem sessions. Emphasis is on creation of distinctions, representation of uncertainty by probability, development of alternatives, specification of preference, and the role of these elements in creating a normative approach to decisions. Information gathering opportunities in terms of a value measure. Relevance and decision diagrams to represent inference and decision. Principles are applied to decisions in business, technology, law, and medicine. See 352 for continuation.
Terms: Aut | Units: 3-4

MS&E 254: The Ethical Analyst

The ethical responsibility for consequences of professional analysts who use technical knowledge in support of any individual, organization, or government. The means to form ethical judgments; questioning the desirability of physical coercion and deception as a means to reach any end. Human action and relations in society in the light of previous thought, and research on the desired form of social interactions. Attitudes toward ethical dilemmas through an explicit personal code.
Terms: Spr | Units: 1-3

MS&E 256: Technology Assessment and Regulation of Medical Devices

(Formerly 475.) Regulatory approval and reimbursement for new medical technologies as a key component of product commercialization. The regulatory and payer environment in the U.S. and abroad, and common methods of health technology assessment. Framework to identify factors relevant to adoption of new medical devices, and the management of those factors in the design and development phases. Case studies; guest speakers from government (FDA) and industry.
Terms: Spr | Units: 3

MS&E 256A: Technology Assessment and Regulation of Medical Devices

Regulatory approval and reimbursement for new medical technologies as a key component of product commercialization. The regulatory and payer environment in the U.S. and abroad, and common methods of health technology assessment. Framework to identify factors relevant to adoption of new medical devices, and the management of those factors in the design and development phases. Case studies; guest speakers from government (FDA) and industry.
Terms: Spr | Units: 1

MS&E 257: Healthcare Reforms and Value-Based Biomedical Technology Innovation

A fundamental transformation of the healthcare system is underway in which policymakers, payers and administrators are intensely focused on new policy mechanisms designed to constrain healthcare costs while promoting quality, outcomes and value. This class evaluates healthcare reforms in the U.S. and abroad with specific focus on examining their impact on the biomedical technology innovation process. Lectures and case studies, guest speakers from health plans, providers, and the medical technology industry perspectives. Students investigate real-world technology innovations in projects.
Terms: Win | Units: 3
Instructors: ; Hernandez, J. (PI)

MS&E 257A: Healthcare Reforms and Value-Based Biomedical Technology Innovation

A fundamental transformation of the healthcare system is underway in which policymakers, payers and administrators are intensely focused on new policy mechanisms designed to constrain healthcare costs while promoting quality, outcomes and value. This class evaluates healthcare reforms in the U.S. and abroad with specific focus on examining their impact on the biomedical technology innovation process. Lectures and case studies, guest speakers from health plans, providers, and the medical technology industry perspectives. Students investigate real-world technology innovations in projects.
Terms: Win | Units: 1
Instructors: ; Hernandez, J. (PI)

MS&E 260: Introduction to Operations Management

Operations management focuses on the effective planning, scheduling, and control of manufacturing and service entities. This course introduces students to a broad range of key issues in operations management. Topics include determination of optimal facility location, production planning, optimal timing and sizing of capacity expansion, and inventory control. Prerequisites: basic knowledge of Excel spreadsheets, probability, and optimization.
Terms: Aut, Sum | Units: 3

MS&E 261: Inventory Control and Production Systems

Topics in the planning and control of manufacturing systems. The functions of inventory, determination of order quantities and safety stocks, alternative inventory replenishment systems, item forecasting, production-inventory systems, materials requirements planning (MRP), just-in-time systems, master and operations scheduling, supply chain management, and service operations. Limited enrollment. Prerequisite: 120, or STATS 116, or equivalent.
Terms: Win | Units: 3

MS&E 262: Supply Chain Management

Definition of a supply chain; coordination difficulties; pitfalls and opportunities in supply chain management; inventory/service tradeoffs; performance measurement and incentives. Global supply chain management; mass customization; supplier management. Design and redesign of products and processes for supply chain management; tools for analysis; industrial applications; current industry initiatives. Enrollment limited to 50. Admission determined in the first class meeting. Recommended: 260 or 261.
Terms: Spr | Units: 3

MS&E 263: Healthcare Operations Management

With healthcare spending in the US exceeding 17% of GDP and growing, improvements in the quality and efficiency of healthcare services are urgently needed. This class focuses on the use of analytical tools to support efficient and effective delivery of health care. Topics include quality control and management, capacity planning, resource allocation, management of patient flows, and scheduling. Prerequisites: basic knowledge of Excel spreadsheets, probability, and optimization.
Terms: Win | Units: 3

MS&E 264: Sustainable Product Development and Manufacturing

For SCPD students only in 2014; not offered on-campus. Strategies and techniques for development of sustainable products and manufacturing processes. Topics: strategic decisions in new product development when environmental and resource externalities are accounted for; effect of regulatory requirements on ability of a firm to achieve its business objectives; contributions of sustainable products/processes to the firm's competitive advantage and operational efficiency and to enabling entrepreneurial opportunities; industrial ecology and life cycle analysis techniques in integrating traditional product development requirements with those of the environment and society. May be repeatable for credit once.
Last offered: Autumn 2014 | Units: 3-4 | Repeatable 2 times (up to 8 units total)

MS&E 265: Product Management Fundamentals

Introduction to Product Management (PM). PM's define a product's functional requirements and lead cross functional teams responsible for development, launch, and ongoing improvement. The course 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. Group projects involve the specification of a software technology product though the skills taught are useful for a variety of product roles. No prior knowledge of design, engineering, or computer science required.
Terms: Spr | Units: 3

MS&E 268: Operations Strategy

The development and implementation of the operations functional strategy. The integration of operations strategy with business and corporate strategies of a manufacturing-based firm. Topics: types and characteristics of manufacturing technologies, quality management, capacity planning and facilities choice, organization and control of operations, and operations' role in corporate strategy. Prerequisites: 260 or 261, or equivalent experience.
Last offered: Spring 2015 | Units: 3

MS&E 270: Strategy in Technology-Based Companies

For graduate students only. Introduction to the basic concepts of strategy, with emphasis on high technology firms. Topics: competitive positioning, resource-based perspectives, co-opetition and standards setting, and complexity/evolutionary perspectives. Limited enrollment.
Terms: Aut | Units: 3-4

MS&E 271: Global Entrepreneurial Marketing

Skills needed to market new technology-based products to customers around the world. Case method discussions. Cases include startups and global high tech firms. Course themes: marketing toolkit, targeting markets and customers, product marketing and management, partners and distribution, sales and negotiation, and outbound marketing. Team-based take-home final exam. Limited enrollment.
Terms: Win, Spr | Units: 3-4

MS&E 272: Startup Boards

Accelerate your startup through hands-on guidance from your own "board of directors" comprised of venture capitalists and experienced entrepreneurs. Like real startup boards, your board will help your team identify critical milestones, assist in achieving them, and hold your team accountable through regular board meetings. Learn how to avoid common mistakes that lead to ineffective board meetings, fired CEOs, and startup failures. Experience the other side of the table as a board member for another startup and learn the principles of effective board services. Topics include building boards, managing board meetings, making strategic decisions, executing board responsibilities, and replacing CEOs. Limited enrollment. Admission by application. Preference given to teams with demonstrated commitment to a viable startup business.
Last offered: Spring 2013 | Units: 3

MS&E 273: Technology Venture Formation

Open to graduate students interested in technology driven start-ups. Provides the experience of an early-stage entrepreneur seeking initial investment, including: team building, opportunity assessment, customer development, go-to-market strategy, and IP. Teaching team includes serial entrepreneurs and venture capitalists. Student teams validate the business model using R&D plans and financial projections, and define milestones for raising and using venture capital. Final exam is an investment pitch delivered to a panel of top tier VC partners. In addition to lectures, teams interact with mentors and teaching team weekly. Enrollment by application: http://www.stanford.edu/class/msande273. Recommended: 270, 271, or equivalent.
Terms: Aut | Units: 3-4

MS&E 274: Dynamic Entrepreneurial Strategy

Primarily for graduate students. How entrepreneurial strategy focuses on creating structural change or responding to change induced externally. Grabber-holder dynamics as an analytical framework for developing entrepreneurial strategy to increase success in creating and shaping the diffusion of new technology or product innovation dynamics. Topics: First mover versus follower advantage in an emerging market; latecomer advantage and strategy in a mature market; strategy to break through stagnation; and strategy to turn danger into opportunity. Modeling, case studies, and term project.
Terms: Win | Units: 3

MS&E 275: Foundations for Large-Scale Entrepreneurship

Explore the foundational and strategic elements needed for startups to be designed for "venture scale" at inception. Themes include controversial and disruptive insights, competitive analysis, network effects, organizational design, and capital deployment. Case studies, expert guests, and experiential learning projects will be used. Primarily for graduate students. Limited enrollment. Recommended: basic accounting.
Terms: Spr | Units: 3

MS&E 276: Entrepreneurial Management and Finance

For graduate students only, with a preference for engineering and science majors. Emphasis on managing high-growth, early-stage enterprises, especially those with innovation-based products and services. Students work in teams to develop skills and approaches necessary to becoming effective entrepreneurial leaders and managers. Topics include assessing risk, understanding business models, analyzing key operational metrics, modeling cash flow and capital requirements, evaluating sources of financing, structuring and negotiating investments, managing organizational culture and incentives, managing the interplay between ownership and growth, and handling adversity and failure. Limited enrollment. Admission by application. Recommended: basic accounting.
Last offered: Spring 2015 | Units: 3

MS&E 277: Creativity and Innovation

Experiential course explores factors that promote and inhibit creativity and innovation in individuals, teams, and organizations. Teaches creativity tools using workshops, case studies, field trips, expert guests, and team design challenges. Enrollment limited to 40. Admission by application. See http://dschool.stanford.edu/classes.
Terms: Aut, Spr | Units: 3-4

MS&E 278: Patent Law and Strategy for Innovators and Entrepreneurs (ME 208)

Inventors and entrepreneurs have four concerns related to patent law: protecting their inventions in the very early stages of product development, determining the patentability of their invention, avoiding infringement of a competitor's patent, and leveraging their patent as a business asset. This course will address each of these concerns through the application of law cases and business cases to an invention of the Studentâ¿¿s choice. Although listed as a ME/MSE course, the course is not specific to any discipline or technology.
Terms: Aut | Units: 2-3

MS&E 279A: Entrepreneurial Leadership

This seminar explores a wide range of topics related to entrepreneurial leadership through class discussions, case studies, field trips, and guest speakers. It is part of the DFJ Entrepreneurial Leaders Fellowship, which requires an application during Fall quarter. Details can be found at: http://stvp.stanford.edu/dfj/.
Terms: Win | Units: 1

MS&E 279B: Entrepreneurial Leadership

This seminar explores a wide range of topics related to entrepreneurial leadership through class discussions, case studies, field trips, and guest speakers. It is part of the DFJ Entrepreneurial Leaders Fellowship, which requires an application during Fall quarter. Details can be found at: http://stvp.stanford.edu/dfj/.
Terms: Spr | Units: 1

MS&E 280: Organizational Behavior: Evidence in Action

Organization theory; concepts and functions of management; behavior of the individual, work group, and organization. Emphasis is on cases and related discussion. Enrollment limited; priority to MS&E students. Please submit Winter course application at http://goo.gl/forms/3LXFAYFD9t by 6pm on Monday, January 4, 2016.
Terms: Aut, Win | Units: 3-4

MS&E 282: Transformational Leadership

The personal, team-based and organizational skills needed to become a transformative leader. Case method discussions and lectures. Themes include: personal transformation; the inside-out effect, group transformation; cross-functional teams; re-engineering; rapid - non-profit and for profit - organizational transformation; and social transformation. Course includes a group project that is defined and approved during the first two weeks of class. Limited enrollment. Graduate students only. Admission by application. Prerequisite: 180 or 280.
Terms: Spr | Units: 3
Instructors: ; Tabrizi, B. (PI)

MS&E 284: Designing Modern Work Organizations

This practice-based experiential lab course is geared toward MS&E masters students. Students will master the concepts of organizational design, with an emphasis on applying them to modern challenges (technology, growth, globalization, and the modern workforce). Students will also gain mastery of skills necessary for success in today's workplace (working in teams, communicating verbally, presenting project work). Guest speakers from industry will present real-world challenges related to class concepts. Students will complete a quarter-long project designing and managing an actual online organization. Limited to 25. Admission by application.
Last offered: Winter 2015 | Units: 3

MS&E 292: Health Policy Modeling

Primarily for master's students; also open to undergraduates and doctoral students. The application of mathematical, statistical, economic, and systems models to problems in health policy. Areas include: disease screening, prevention, and treatment; assessment of new technologies; bioterrorism response; and drug control policies.
Terms: Win | Units: 3

MS&E 293: Technology and National Security (MS&E 193)

The interaction of technology and national security policy from the perspective of history to implications for the new security imperative, homeland defense. Key technologies in nuclear and biological weapons, military platforms, and intelligence gathering. Policy issues from the point of view of U.S. and other nations. The impact of terrorist threat. Guest lecturers include key participants in the development of technology and/or policy.
Terms: Aut | Units: 3

MS&E 294: Climate Policy Analysis

Design and application of formal analytical methods in climate policy development. Issues include instrument design, technology development, resource management, multiparty negotiation, and dealing with complexity and uncertainty. Links among art, theory, and practice. Emphasis is on integrated use of modeling tools from diverse methodologies and requirements for policy making application. Prerequisites: ECON 50, MS&E 211, MS&E 252, or equivalents, or permission of instructor.
Terms: Win | Units: 3

MS&E 295: Energy Policy Analysis

Design and application of formal analytical methods for policy and technology assessments of energy efficiency and renewable energy options. Emphasis is on integrated use of modeling tools from diverse methodologies and requirements for policy and corporate strategy development. Prerequisites: ECON 50, MS&E 211, MS&E 252, or equivalents, or permission of instructor.
Last offered: Winter 2015 | Units: 3

MS&E 297: "Hacking for Defense": Solving National Security issues with the Lean Launchpad

In a crisis, national security initiatives move at the speed of a startup yet in peacetime they default to decades-long acquisition and procurement cycles. Startups operate with continual speed and urgency 24/7. Over the last few years they¿ve learned how to be not only fast, but extremely efficient with resources and time using lean startup methodologies. In this class student teams will take actual national security problems and learn how to apply ¿lean startup¿ principles, ("business model canvas," "customer development," and "agile engineering¿) to discover and validate customer needs and to continually build iterative prototypes to test whether they understood the problem and solution. Teams take a hands-on approach requiring close engagement with actual military, Department of Defense and other government agency end-users. Team applications required in February. Limited enrollment. Course builds on concepts introduced in MS&E 477.
Terms: Spr | Units: 3-4

MS&E 299: Voluntary Social Systems

Ethical theory, feasibility, and desirability of a social order in which coercion by individuals and government is minimized and people pursue ends on a voluntary basis. Topics: efficacy and ethics; use rights for property; contracts and torts; spontaneous order and free markets; crime and punishment based on restitution; guardian-ward theory for dealing with incompetents; the effects of state action-hypothesis of reverse results; applications to help the needy, armed intervention, victimless crimes, and environmental protection; transition strategies to a voluntary society.
Terms: Win | Units: 1-3

MS&E 302: Fundamental Concepts in Management Science and Engineering

Each course session will be devoted to a specific MS&E PhD research area. Advanced students will make presentations designed for first-year doctoral students regardless of area. The presentations will be devoted to: illuminating how people in the area being explored that day think about and approach problems, and illustrating what can and cannot be done when addressing problems by deploying the knowledge, perspectives, and skills acquired by those who specialize in the area in question. Area faculty will attend and participate. During the last two weeks of the quarter groups of first year students will make presentations on how they would approach a problem drawing on two or more of the perspectives to which they have been exposed earlier in the class. Attendance is mandatory and performance will be assessed on the basis of the quality of the students¿ presentations and class participation. Restricted to first year MS&E PhD students.
Terms: Aut | Units: 1
Instructors: ; Eisenhardt, K. (PI)

MS&E 310: Linear Programming

Formulation of standard linear programming models. Theory of polyhedral convex sets, linear inequalities, alternative theorems, and duality. Variants of the simplex method and the state of art interior-point algorithms. Sensitivity analyses, economic interpretations, and primal-dual methods. Relaxations of harder optimization problems and recent convex conic linear programs. Applications include game equilibrium facility location. Prerequisite: MATH 113 or consent of instructor.
Terms: Aut | Units: 3
Instructors: ; Ye, Y. (PI)

MS&E 311: Optimization

Applications, theories, and algorithms for finite-dimensional linear and nonlinear optimization problems with continuous variables. Elements of convex analysis, first- and second-order optimality conditions, sensitivity and duality. Algorithms for unconstrained optimization, and linearly and nonlinearly constrained problems. Modern applications in communication, game theory, auction, and economics. Prerequisites: MATH 113, 115, or equivalent.
Terms: Win | Units: 3

MS&E 312: Advanced Methods in Numerical Optimization (CME 334)

Topics include interior-point methods, relaxation methods for nonlinear discrete optimization, sequential quadratic programming methods, optimal control and decomposition methods. Topic chosen in first class; different topics for individuals or groups possible. Individual or team projects. May be repeated for credit.
Terms: Aut | Units: 3 | Repeatable for credit
Instructors: ; Murray, W. (PI)

MS&E 314: Linear and Conic Optimization with Applications (CME 336)

Linear, semidefinite, conic, and convex nonlinear optimization problems as generalizations of classical linear programming. Algorithms include the interior-point, barrier function, and cutting plane methods. Related convex analysis, including the separating hyperplane theorem, Farkas lemma, dual cones, optimality conditions, and conic inequalities. Complexity and/or computation efficiency analysis. Applications to combinatorial optimization, sensor network localization, support vector machine, and graph realization. Prerequisite: MS&E 211 or equivalent.
Last offered: Winter 2015 | Units: 3

MS&E 315: Numerical Optimization (CME 304)

Solution of nonlinear equations; unconstrained optimization; linear programming; quadratic programming; global optimization; general linearly and nonlinearly constrained optimization. Theory and algorithms to solve these problems. Prerequisite: background in analysis and numerical linear algebra.
Terms: Win | Units: 3

MS&E 316: Discrete Mathematics and Algorithms (CME 305)

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. Topics will be illustrated with applications from Distributed Computing, Machine Learning, and large-scale Optimization. Prerequisites: CS 261 is highly recommended, although not required.
Terms: Win | Units: 3

MS&E 317: Algorithms for Modern Data Models (CS 263)

We traditionally think of algorithms as running on data available in a single location, typically main memory. In many modern applications including web analytics, search and data mining, computational biology, finance, and scientific computing, the data is often too large to reside in a single location, is arriving incrementally over time, is noisy/uncertain, or all of the above. Paradigms such as map-reduce, streaming, sketching, Distributed Hash Tables, Bulk Synchronous Processing, and random walks have proved useful for these applications. This course will provide an introduction to the design and analysis of algorithms for these modern data models. Prerequisite: Algorithms at the level of CS 261.
Last offered: Spring 2015 | Units: 3

MS&E 318: Large-Scale Numerical Optimization (CME 338)

The main algorithms and software for constrained optimization emphasizing the sparse-matrix methods needed for their implementation. Iterative methods for linear equations and least squares. The simplex method. Basis factorization and updates. Interior methods. The reduced-gradient method, augmented Lagrangian methods, and SQP methods. Prerequisites: Basic numerical linear algebra, including LU, QR, and SVD factorizations, and an interest in MATLAB, sparse-matrix methods, and gradient-based algorithms for constrained optimization. Recommended: MS&E 310, 311, 312, 314, or 315; CME 108, 200, 302, 304, 334, or 335.
Terms: Spr | Units: 3

MS&E 319: Approximation Algorithms

Combinatorial and mathematical programming techniques to derive approximation algorithms for NP-hard optimization problems. Prossible topics include: greedy algorithms for vertex/set cover; rounding LP relaxations of integer programs; primal-dual algorithms; semidefinite relaxations. May be repeated for credit. Prerequisites: 112 or CS 161.
Terms: Aut | Units: 3 | Repeatable for credit
Instructors: ; Saberi, A. (PI)

MS&E 321: Stochastic Systems

Topics in stochastic processes, emphasizing applications. Markov chains in discrete and continuous time; Markov processes in general state space; Lyapunov functions; regenerative process theory; renewal theory; martingales, Brownian motion, and diffusion processes. Application to queueing theory, storage theory, reliability, and finance. Prerequisites: 221 or STATS 217; MATH 113, 115. (Glynn)
Terms: Spr | Units: 3
Instructors: ; Glynn, P. (PI)

MS&E 322: Stochastic Calculus and Control

Ito integral, existence and uniqueness of solutions of stochastic differential equations (SDEs), diffusion approximations, numerical solutions of SDEs, controlled diffusions and the Hamilton-Jacobi-Bellman equation, and statistical inference of SDEs. Applications to finance and queueing theory. Prerequisites: 221 or STATS 217: MATH 113, 115.
Last offered: Spring 2015 | Units: 3

MS&E 330: Law, Order & Algorithms (SOC 279)

Data and algorithms are rapidly transforming law enforcement and criminal justice, including how police officers are deployed, how discrimination is detected, and how sentencing, probation, and parole terms are set. Modern computational and statistical methods offer the promise of greater efficiency, equity, and transparency, but their use also raises complex legal, social, and ethical questions. In this course, we analyze recent court decisions, discuss methods from machine learning and game theory, and examine the often subtle relationship between law, public policy and statistics. Students work in interdisciplinary teams to explore these issues in an empirical or investigative project of their choice. Prerequisite: An introductory course in applied statistics (e.g. MS&E 125). Recommended: experience programming in R or Python.
Terms: Win | Units: 3

MS&E 332: Topics in Social Algorithms

In depth discussion of selected research topics in social algorithms, including networked markets, collective decision making, recommendation and reputation systems, prediction markets, social computing, and social choice theory. The class will include a theoretical project and a paper presentation. Prerequisites: CS 261 or equivalent; understanding of basic game theory.
Terms: Win | Units: 3
Instructors: ; Goel, A. (PI)

MS&E 333: Social Algorithms

This seminar will introduce students to research in the field of social algorithms, including networked markets, collective decision making, recommendation and reputation systems, prediction markets, social choice theory, and models of influence and contagion.
Last offered: Spring 2015 | Units: 1

MS&E 334: The Structure of Social Data

This course provides a survey of recent research in the study of social networks and large-scale social and behavioral data. Topics will include network models based on random graphs and their properties; centrality and ranking on graphs; ranking from comparisons; heavy-tailed statistical distributions for social data; the wisdom of crowds; homophily and social influence; experimentation and causal inference on networks. Prerequisites: 221, 226, CS161.
Terms: Aut | Units: 3
Instructors: ; Ugander, J. (PI)

MS&E 335: Queueing and Scheduling in Processing Networks

Advanced stochastic modeling and control of systems involving queueing and scheduling operations. Stability analysis of queueing systems. Key results on single queues and queueing networks. Controlled queueing systems. Dynamic routing and scheduling in processing networks. Applications to modeling, analysis and performance engineering of computing systems, communication networks, flexible manufacturing, and service systems. Prerequisite: 221 or equivalent.
Terms: Aut | Units: 3
Instructors: ; Bambos, N. (PI)

MS&E 336: Platform and Marketplace Design

The last decade has witnessed a meteoric rise in the number of online markets and platforms competing with traditional mechanisms of trade. Examples of such markets include online marketplaces for goods, such as eBay; online dating markets; markets for shared resources, such as Lyft, Uber, and Airbnb; and online labor markets. We will review recent research that aims to both understand and design such markets. Emphasis on mathematical modeling and methodology, with a view towards preparing Ph.D. students for research in this area. Prerequisites: Mathematical maturity; 300-level background in optimization and probability; prior exposure to game theory.
Last offered: Winter 2015 | Units: 3 | Repeatable for credit

MS&E 338: Advanced Topics in Information Science and Technology

Advanced material in this area is sometimes taught for the first time as a topics course. Prerequisite: consent of instructor.
Last offered: Winter 2015 | Units: 3

MS&E 347: Credit Risk: Modeling and Management

Credit risk modeling, valuation, and hedging emphasizing underlying economic, probabilistic, and statistical concepts. Point processes and their compensators. Structural, incomplete information and reduced form approaches. Single name products: corporate bonds, equity, equity options, credit and equity default swaps, forwards and swaptions. Multiname modeling: index and tranche swaps and options, collateralized debt obligations. Implementation, calibration and testing of models. Industry and market practice. Data and implementation driven group projects that focus on problems in the financial industry.
Terms: Win | Units: 3
Instructors: ; Giesecke, K. (PI)

MS&E 348: Optimization of Uncertainty and Applications in Finance

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. Decision trees, utility, two-stage and multi-stage decision problems, approaches to stochastic programming, model formulation; large-scale systems, Benders and Dantzig-Wolfe decomposition, Monte Carlo sampling and variance reduction techniques, risk management, portfolio optimization, asset-liability management, mortgage finance. Projects involving the practical application of optimization under uncertainty to financial planning.
Terms: Win | Units: 3
Instructors: ; Infanger, G. (PI)

MS&E 350: Doctoral Seminar in Risk Analysis

Limited to doctoral students. Literature in the fields of engineering risk assessment and management. New methods and topics, emphasizing probabilistic methods and decision analysis. Applications to risk management problems involving the technical, economic, and organizational aspects of engineering system safety. Possible topics: treatment of uncertainties, learning from near misses, and use of expert opinions.
Last offered: Spring 2005 | Units: 3 | Repeatable for credit

MS&E 351: Dynamic Programming and Stochastic Control

Markov population decision chains in discrete and continuous time. Risk posture. Present value and Cesaro overtaking optimality. Optimal stopping. Successive approximation, policy improvement, and linear programming methods. Team decisions and stochastic programs; quadratic costs and certainty equivalents. Maximum principle. Controlled diffusions. Examples from inventory, overbooking, options, investment, queues, reliability, quality, capacity, transportation. MATLAB. Prerequisites: MATH 113, 115; Markov chains; linear programming.
Last offered: Autumn 2014 | Units: 3

MS&E 352: Decision Analysis II: Professional Decision Analysis

How to organize the decision conversation, the role of the decision analysis cycle and the model sequence, assessing the quality of decisions, framing decisions, the decision hierarchy, strategy tables for alternative development, creating spare and effective decision diagrams, biases in assessment, knowledge maps, uncertainty about probability. Sensitivity analysis, approximations, value of revelation, joint information, options, flexibility, bidding, assessing and using corporate risk attitude, risk sharing and scaling, and decisions involving health and safety. See 353 for continuation. Prerequisite: 252.
Terms: Win | Units: 3-4

MS&E 353: Decision Analysis III: Frontiers of Decision Analysis

The concept of decision composite; probabilistic insurance and other challenges to the normative approach; the relationship of decision analysis to classical inference and data analysis procedures; the likelihood and exchangeability principles; inference, decision, and experimentation using conjugate distributions; developing a risk attitude based on general properties; alternative decision aiding practices such as analytic hierarchy and fuzzy approaches. Student presentations on current research. Goal is to prepare doctoral students for research. Prerequisite: 352.
Terms: Spr | Units: 3

MS&E 355: Influence Diagrams and Probabilistics Networks

Network representations for reasoning under uncertainty: influence diagrams, belief networks, and Markov networks. Structuring and assessment of decision problems under uncertainty. Learning from evidence. Conditional independence and requisite information. Node reductions. Belief propagation and revision. Simulation. Linear-quadratic-Gaussian decision models and Kalman filters. Dynamic processes. Bayesian meta-analysis. Prerequisites: 220, 252, or equivalents, or consent of instructor.
Terms: Win | Units: 3
Instructors: ; Shachter, R. (PI)

MS&E 365: Advanced Models in Operations Management

Primarily for doctoral students. Focus on quantitative models dealing with sustainability and related to operations management. Prerequisite: consent of instructor. May be repeated for credit.
Terms: Spr | Units: 3 | Repeatable for credit
Instructors: ; Ashlagi, I. (PI)

MS&E 371: Innovation and Strategic Change

Doctoral research seminar, limited to Ph.D. students. Current research on innovation strategy. Topics: scientific discovery, innovation search, organizational learning, evolutionary approaches, and incremental and radical change. Topics change yearly. Recommended: course in statistics or research methods.
Terms: Win | Units: 2-3 | Repeatable for credit
Instructors: ; Katila, R. (PI)

MS&E 372: Entrepreneurship Doctoral Research Seminar

Classic and current research on entrepreneurship. Limited enrollment, restricted to PhD students. Prerequisites: SOC 363 or equivalent, and permission of instructor.
Terms: Win, Spr | Units: 1-3
Instructors: ; Eesley, C. (PI)

MS&E 374: Cross Border Regional Innovation

This is an advanced research seminar class that is restricted to students that had taken MS&E 274. Disruptive innovation is the realization of new value proposition through establishment of a new ecosystem. Value proposition depends on the culture and social value in a particular region; while the ability to establish the ecosystem to realize the value proposition is highly dependent on the firm¿s knowledge and skills to operate effectively under the political, social, and economic structure of that particular region. Therefore cross border and regional innovations in different regions will take different path. This course will examine cases that cover innovations in developing economy, cross border e-commerce, and international business groups.
Terms: Spr | Units: 3
Instructors: ; Tse, E. (PI)

MS&E 375: Research on Entrepreneurship

Restricted to Ph.D. students. Organization theory, economics, and strategy perspectives. Limited enrollment. Prerequisites: SOC 360 or equivalent, and consent of instructor.
Terms: Aut | Units: 3
Instructors: ; Eisenhardt, K. (PI)

MS&E 376: Strategy Doctoral Research Seminar

Classic and current research on business and corporate strategy. Limited enrollment, restricted to PhD students. Prerequisites: SOC 363 or equivalent, and permission of instructor. Course may be repeated for credit.
Last offered: Autumn 2014 | Units: 3 | Repeatable for credit

MS&E 380: Doctoral Research Seminar in Organizations

Limited to Ph.D. students. Topics from current published literature and working papers. Content varies. Prerequisite: consent of instructor.
Last offered: Autumn 2013 | Units: 3 | Repeatable for credit

MS&E 381: Doctoral Research Seminar in Work, Technology, and Organization

Enrollment limited to Ph.D. students. Topics from current published literature and working papers. Content varies. Prerequisite: consent of instructor.
Last offered: Winter 2014 | Units: 2-3 | Repeatable for credit

MS&E 383: Doctoral Seminar on Ethnographic Research

For graduate students; upper-level undergraduates with consent of instructor. Interviewing and participant observation. Techniques for taking, managing, and analyzing field notes and other qualitative data. Methods texts and ethnographies offer examples of how to analyze and communicate ethnographic data. Prerequisite: consent of instructor.
Terms: Spr | Units: 3
Instructors: ; Valentine, M. (PI)

MS&E 384: Groups and Teams

Research on groups and teams in organizations from the perspective of organizational behavior and social psychology. Topics include group effectiveness, norms, group composition, diversity, conflict, group dynamics, temporal issues in groups, geographically distributed teams, and intergroup relations.
Terms: Win | Units: 3
Instructors: ; Hinds, P. (PI)

MS&E 387: Design of Field Research Methods

Field research involves collecting original data (qualitative and/or quantitative) in field sites. This course combines informal lecture and discussion with practical exercises to build specific skills for conducting field research in organizations. Readings include books and papers about research methodology and articles that provide exemplars of field research. Specific topics covered include: the role of theory in field research, variance versus process models, collecting and analyzing different kinds of data (observation, interview, survey), levels of analysis, construct development and validity, blending qualitative and quantitative data (in a paper, a study, or a career), and writing up field research for publication. Students will develop intuition about the contingent relationship between the nature of the research question and the field research methods used to answer it as a foundation for conducting original field research.
Terms: Spr | Units: 3

MS&E 388: Themes in Contemporary Meso-level Field Research

Doctoral research seminar, limited to Ph.D. students. Current meso-level field research on organizational behavior, especially work and coordination. Topics: work design, job design, roles, teams, organizational change and learning, knowledge management, performance. Focus on understanding theory development and research design in contemporary field research. Topics change yearly. Recommended: course in statistics or research methods.
Last offered: Autumn 2014 | Units: 3

MS&E 389: Seminar on Organizational Theory (EDUC 375A, SOC 363A)

The social science literature on organizations assessed through consideration of the major theoretical traditions and lines of research predominant in the field.
Last offered: Autumn 2014 | Units: 5

MS&E 390: Doctoral Research Seminar in Health Systems Modeling

Restricted to PhD students, or by consent of instructor. Doctoral research seminar covering current topics in health policy, health systems modeling, and health innovation. May be repeated for credit.
Terms: Aut, Win, Spr | Units: 1-3 | Repeatable for credit
Instructors: ; Brandeau, M. (PI)

MS&E 391: Doctoral Research Seminar in Energy-Environmental Systems Modeling and Analysis

Restricted to PhD students, or by consent of instructor. Doctoral research seminar covering current topics in energy and environmental modeling and analysis. Current emphasis on approaches to incorporation of uncertainty and technology dynamics into complex systems models. May be repeated for credit.
Terms: Aut, Spr | Units: 1-3 | Repeatable for credit
Instructors: ; Weyant, J. (PI)

MS&E 403: Integrative Modeling

Modeling approaches for examining real life problems: how to get started. Critical thinking in framing and problem formulation leading to actionable solutions and communication of results to decision makers. Models to identify and evaluate multiple objectives/metrics. Models examined include both deterministic and probabilistic components. Overview of optimization and probability, decomposition principles to model large scale problems, appropriate integration of uncertainties into model formulations. Primarily team-project based assignments, with three to four group projects. Project topics drawn from applications with real data. Sample project topics include: optimizing group phone plans for large corporations, life insurance business models, making sense of the health care debate, logistic decision problems. Project teams will critically grade other teams¿ project reports using provided guidelines. Project presentations throughout the quarter. Prerequisites: 211, 220.
Terms: Win | Units: 3
Instructors: ; Chiu, S. (PI)

MS&E 431: Projects in Computational Social Science

Students work in interdisciplinary teams to complete a project of their choice in computational social science. Groups present their progress throughout the term, receiving regular feedback on their own projects and providing feedback on other students' projects. Students learn how to deal with the computational and statistical challenges of working with large, real-world datasets in the context of a motivating, substantive problem in the social sciences. Lectures and discussions are tailored to the specific topics that the groups pursue. Enrollment is by application only; details will be posted in the fall quarter. Prerequisite: MS&E 231 or similar.
| Units: 3-4

MS&E 441: Policy and Economics Research Roundtable (PERR)

Research in progress or contemplated in policy and economics areas. Emphasis depends on research interests of participants, but is likely to include energy, environment, transportation, or technology policy and analysis. May be repeated for credit.
Terms: Aut, Win, Spr | Units: 1 | Repeatable for credit
Instructors: ; Sweeney, J. (PI)

MS&E 445: Projects in Wealth Management

Recent theory and standard practice in portfolio design for institutions, individuals, and funds. Student projects and case studies derived from the financial industry.
Terms: Spr | Units: 3-4

MS&E 447: Systemic and Market Risk : Notes on Recent History, Practice, and Policy

The global financial crisis of 2007-8 threw into sharp relief the ongoing challenges of understanding risk, the financial system, links with the global economy, and interactions with policy. We will explore elements of the crisis, a few other key events, and ongoing debates about systemic risk. Group projects will explore in more detail past events and current topics in systemic risk. Supplements a rigorous technical curriculum in modern finance with select aspects relevant to understanding the practice and broader context of modern financial activities such as derivatives, financial engineering, and risk management.
Terms: Aut | Units: 3
Instructors: ; Wong, A. (PI)

MS&E 448: Big Financial Data and Algorithmic Trading

Project course emphasizing the connection between data, models, and reality. Vast amounts of high volume, high frequency observations of financial quotes, orders and transactions are now available, and poses a unique set of challenges. This type of data will be used as the empirical basis for modeling and testing various ideas within the umbrella of algorithmic trading and quantitative modeling related to the dynamics and micro-structure of financial markets. 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. Introductory lectures, followed by real-world type projects to get a hands-on experience with realistic challenges and hone skills needed in the work place. Work in groups on selected projects that will entail obtaining and cleaning the raw data and becoming familiar with techniques and challenges in handling big data sets. Develop a framework for modeling and testing (in computer languages such as Python, C++ , Matlab and R) and prepare presentations to present to the class. Example projects include optimal order execution, developing a market making algorithm, design of an intra-day trading strategy, and modeling the dynamics of the bid and ask. Prerequisites: MS&E 211, 242, 342, or equivalents, some exposure to statistics and programming. Enrollment limited. Admission by application; details at first class.
Terms: Spr | Units: 3
Instructors: ; Borland, L. (PI)

MS&E 449: Buy-Side Investing

In-class lectures and guest speakers who work in the Buy-Side to explore the synergies amongst the various players¿ roles, risk appetites, and investment time and return horizons. We aim to see the forest and the different species of trees growing in the forest known as the Buy-Side, so as to develop a perspective as financial engineers for how the ecosystem functions, what risks it digests, how it generates capital at what rate and amount for the Sell-Side, and how impacts in the real economy are reflected - or should be reflected - in the culture and risk models adopted by the Buy-Side participants.
Terms: Win | Units: 1-2
Instructors: ; Cahan, B. (PI)

MS&E 450: Lessons in Decision Making

Entrepreneurs, senior management consultants, and executives from Fortune 500 companies share real-world stories and insights from their experience in decision making.
Terms: Spr | Units: 1 | Repeatable for credit

MS&E 452: Decision Analysis Projects: Helping Real Leaders Make Real Decisions

A virtual consulting firm directed by professional decision analysts who offer advice and guidance as student teams help local organizations make a current business strategy or public policy decision. Projects for businesses, governments, or other institutions typically include start-up venture funding, R&D portfolio planning, new product or market entry, acquisition or partnering, cost reduction, program design, or regulatory policy decisions. Emphasis is on developing clarity of action and delivering insights to clients. Satisfies MS&E project course requirement. Prerequiste: 252. Recommended: 352.
Terms: Spr | Units: 3
Instructors: ; Robinson, B. (PI)

MS&E 453: Decision Analysis Applications: Business Strategy and Public Policy

What are the most essential, efficient, and effective ways that important decisions are being made in the real world? Experienced practitioners provide insights from technically challenging and organizationally complex decisions that they helped analyze for decision makers in businesses, nonprofits, and governments. Both the process and content of such decisions are discussed. Process includes disciplined qualitative and quantitative approaches for framing, structuring, modeling, assessing, evaluating, appraising, and communicating decisions. Content broadly covers business and corporate strategy, venture capital investing, financial derivatives and hedging, R&D portfolio management, new product design, technology manufacturing alternatives, business renewal, real estate investment and development, intellectual property litigation risk, interplanetary contamination risk, energy economics and policies, electric power production, nuclear waste disposal, environmental cleanup of mines, marine fisheries and resource protection, medical diagnosis and treatment options, health insurance plans, hospital risk management, pharmaceutical drug trials and backups, behavioral economics lessons, effective interaction techniques, and implications of social psychology for improved organizational decision making. Prerequisite: 252
Terms: Win | Units: 2-3
Instructors: ; Robinson, B. (PI)

MS&E 454: Decision Analysis Seminar

Current research and related topics presented by doctoral students and invited speakers. May be repeated for credit. Prerequisite: 252.
Terms: Aut, Win, Spr | Units: 1 | Repeatable for credit

MS&E 463: Healthcare Systems Design

Students work on projects to analyze and design various aspects of healthcare including hospital patient flow, physician networks, clinical outcomes, reimbursement incentives, and community health. Students work in small teams under the supervision of the course instructor and partners at the Lucille Packard Children's Hospital, the Stanford Hospital, and other regional healthcare providers. Prerequisite: 263.
Terms: Spr | Units: 3
Instructors: ; Scheinker, D. (PI)

MS&E 464: Global Project Coordination

Students engage in projects that are global in nature and related to the planning, design, and operations of supply chains, marketing, manufacturing, and product development processes. Stanford students work with students from an overseas university in teams of 6-8, using email, teleconferencing, and videoconferencing to meet on a regular basis. As part of the course, students travel to Hong Kong during Stanford's spring break. Applications due by November 15. Information session on October 29. Please see https://stanford.qualtrics.com/SE/?SID=SV_3a8ZBx2NWB8p73T for more information.
Last offered: Winter 2014 | Units: 3-4

MS&E 467: Strategic Operations Consulting

Restricted to MS&E masters students. Guided by industry practitioners, students work in teams to conduct an in-depth consulting project for a sponsoring company, assessing operational challenges and developing effective solutions. Projects range from the planning, design, and operation of supply chains to manufacturing to new product introduction. Emphasis is on developing diagnostic skills and designing effective and actionable solutions that provide new insights to clients. Students will be taught and coached on business writing and presentation skills. Projects culminate with a comprehensive presentation of findings and recommended actions to the sponsor. Satisfies MS&E project course requirement. Prerequisites: 260 or 261. Admission by application, limited enrollment.
Last offered: Spring 2015 | Units: 3

MS&E 472: Entrepreneurial Thought Leaders' Seminar

Entrepreneurial leaders share lessons from real-world experiences across entrepreneurial settings. ETL speakers include entrepreneurs, leaders from global technology companies, venture capitalists, and best-selling authors. Half-hour talks followed by half hour of class interaction. Required web discussion. May be repeated for credit.
Terms: Aut, Win, Spr | Units: 1 | Repeatable for credit

MS&E 476: Entrepreneurship Through the Lens of Venture Capital: Venture Capital From Past to Present

Explores changes in the venture capital industry: rise of SiliconnValley and Sand Hill Road, investing in the dot-com bubble, incubatorsnand accelerators, equity crowd funding platform, and different modelsnof venture capital. Explores how companies are funded, grown, andnscale by meeting with individuals who have been at the forefront ofnthis change. See www.lensofvc.com.
Terms: Spr | Units: 2
Instructors: ; Fu, E. (PI); Weyant, J. (PI)

MS&E 477: Silicon Valley and the U.S. Government: Scaling Business-to-Government Technology

Understanding how to sell and scale dual-use technologies in the business-to-government (B2G) market. Dual-use technologies are viable consumer and commercial technologies with relevance in government, or B2G, marketplaces. Government technology needs, government acquisitions channels, and how to locate and access government funding. Students gain exposure to Silicon Valley venture investors familiar with funding dual-use technologies. Topics introduced are particularly relevant to technology researchers in academia, founders of technology companies, and future employees of startups pursuing dual-use technologies.
Terms: Win | Units: 2-3
Instructors: ; Fu, E. (PI); Weyant, J. (PI)

MS&E 478: The Spirit of Entrepreneurship

This course uses the speakers from the Entrepreneurial Thought Leader seminar (MS&E472) to drive research and discussion about what makes an entrepreneur successful. Students meet before and after MS&E 472 to prepare for and debrief after the sessions. It is part of the DFJ Entrepreneurial Leaders Fellowship, which requires an application during Fall quarter. Details can be found at: http://stvp.stanford.edu/dfj/.
Terms: Win | Units: 2

MS&E 487: D.ORG: PROTOTYPING ORGANIZATIONAL CHANGE

d.org will send outstanding, proven design thinkers into organizations tonjump-start ¿organizational R&D¿ experiments. Students will work directlynwith senior leaders to prototype ways to reinforce culture through policies,nrituals, and behavioral norms.
Terms: Spr | Units: 2-4

MS&E 488: Prototyping and Rapid Experiment Lab

Gain a deeper understanding of the prototyping and user feedback parts of the design thinking process with a focus on rapid experimentation. Explore prototyping and user feedback that happens in later stages of iteration when design ideas are somewhat gelled, but designers are still uncertain about whether the design will meet the need and evoke the response intended. Introduce and generate creative ways to discover what users will do in the real world with the designs we envision. For seasoned students who thoroughly understand the design thinking process or, more broadly, human-centered design and now want to focus on one later stage aspect of it in more depth. An application process will happen in Fall Quarter. Please contact the d.school for more details.
Last offered: Spring 2015 | Units: 4

MS&E 489: d.Leadership: Design Leadership in Context (ME 368)

d.Leadership is a course that teaches the coaching and leadership skills needed to drive good design process in groups. d.leaders will work on real projects driving design projects within organizations and gain real world skills as they experiment with their leadership style. Take this course if you are inspired by past design classes and want skills to lead design projects beyond Stanford. Preference given to students who have taken other Design Group or d.school classes. Admission by application. See dschool.stanford.edu/classes for more information
Terms: Win | Units: 1-3

MS&E 494: The Energy Seminar (CEE 301, ENERGY 301)

Interdisciplinary exploration of current energy challenges and opportunities, with talks by faculty, visitors, and students. May be repeated for credit.
Terms: Aut, Win, Spr | Units: 1 | Repeatable for credit
Instructors: ; Weyant, J. (PI)
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