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1 - 10 of 154 results for: MS&E

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 52: Introduction to Decision Making

Experienced management consultants share lessons and war stories. Case studies, disguised examples from real engagements, and movie clips illustrate theories and concepts of decision analysis. Student teams critique decisions made in actual organizations. Topics include what makes a good decision, how decisions can be made better, framing and structuring techniques, modeling and analysis tools, biases and probability assessment, evaluation and appraisal methods, decision psychology, creativity and organizational leadership, and effective presentation styles. Not intended for MS&E majors.
Terms: Sum | Units: 3

MS&E 71SI: The Startup Workshop: Entrepreneurship through the Lens of Venture Capital

Stages of growth and challenges experienced by the most successful start-ups. Guest lectures and mentorship from experienced venture capital investors and seasoned entrepreneurs in Silicon Valley. Course themes: customer value equation, board management, market strategy, company culture, and hyper growth. Limited to 20 students. Visit startupworkshop.stanford.edu for application and more information.
Terms: Win | Units: 2
Instructors: Kosnik, T. (PI)

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. What are nuclear weapons; what do they do? How are they different from other weapons? What drives proliferation of nuclear weapons? Why do countries want them? Can they be eliminated? What about Iran and North Korea? What role does nuclear energy play? Can it help combat global climate change? What are the risks of nuclear terrorism? Recommended: a course in international relations, engineering, or physical science.
Terms: Spr | Units: 3 | UG Reqs: GER:DB-EngrAppSci, GER:DB-EngrAppSci
Instructors: Hecker, S. (PI)

MS&E 101: Undergraduate Directed Study

Subject of mutual interest to student and faculty member. Prerequisite: faculty sponsor.
Terms: Aut, Win, Spr, Sum | Units: 1-15 | Repeatable for credit

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, Sum | 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: 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: CS 106A or X; ENGR 62 or MATH 103.
Terms: Win | Units: 3 | UG Reqs: GER:DB-EngrAppSci
Instructors: Saberi, A. (PI)
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