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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: not given this year | Units: 4 | UG Reqs: WAY-FR | Grading: Letter (ABCD/NP)

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 | Grading: Letter or Credit/No Credit
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.
Terms: not given this year | Units: 1 | Grading: Satisfactory/No Credit

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 | Grading: Letter or Credit/No Credit

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 | Grading: Letter or Credit/No Credit
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 | Grading: Letter or Credit/No Credit
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 | Grading: Letter or Credit/No Credit
Instructors: Ashlagi, I. (PI) ; Bambos, N. (PI) ; Barley, S. (PI) ; Brandeau, M. (PI) ; Byers, T. (PI) ; Chiu, S. (PI) ; Eesley, C. (PI) ; Eisenhardt, K. (PI) ; Giesecke, K. (PI) ; Glynn, P. (PI) ; Goel, A. (PI) ; Goel, S. (PI) ; Hausman, W. (PI) ; Hecker, S. (PI) ; Hinds, P. (PI) ; Howard, R. (PI) ; Johari, R. (PI) ; Katila, R. (PI) ; McGinn, R. (PI) ; Murray, W. (PI) ; Pate-Cornell, E. (PI) ; Pelger, M. (PI) ; Perry, W. (PI) ; Saberi, A. (PI) ; Saunders, M. (PI) ; Seelig, T. (PI) ; Shachter, R. (PI) ; Sutton, R. (PI) ; Sweeney, J. (PI) ; Tse, E. (PI) ; Ugander, J. (PI) ; Valentine, M. (PI) ; Van Roy, B. (PI) ; Weyant, J. (PI) ; Ye, Y. (PI)

MS&E 101A: Undergraduate Directed Study

Subject of mutual interest to student and mentor.
Terms: Aut, Win, Spr, Sum | Units: 1-4 | Repeatable for credit | Grading: Letter or Credit/No Credit
Instructors: Barreto, D. (PI) ; Belani, R. (PI) ; Ben Gal, I. (PI) ; Blank, S. (PI) ; Borland, L. (PI) ; Britos Cavagnaro, L. (PI) ; Cohen, S. (PI) ; Corey, T. (PI) ; Epstein, J. (PI) ; Fuchs, J. (PI) ; Haas, P. (PI) ; Hernandez, J. (PI) ; Hwang, R. (PI) ; Infanger, G. (PI) ; Johnson, B. (PI) ; Kessinger, C. (PI) ; Kosnik, T. (PI) ; Lifschitz, A. (PI) ; Loy, T. (PI) ; Lyons, M. (PI) ; Ma, E. (PI) ; MacLean, A. (PI) ; Matheson, J. (PI) ; Miura-Ko, R. (PI) ; Nesbitt, D. (PI) ; Padilla, M. (PI) ; Pietzsch, J. (PI) ; Robinson, B. (PI) ; Roizen, J. (PI) ; Savage, S. (PI) ; Scheinker, D. (PI) ; Siino, R. (PI) ; Smith, L. (PI) ; Stanton, F. (PI) ; Tabrizi, B. (PI) ; Woehrmann, P. (PI) ; Wong, A. (PI) ; de la Grandville, O. (PI)

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 | Grading: Letter or Credit/No Credit

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 | Grading: Letter (ABCD/NP)
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