printer friendly pageMS&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 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. Cardinal Course certified by the Haas Center. Satisfies the WIM requirement for MS&E majors.
Terms: Win
| Units: 5
Instructors:
Ashlagi, I. (PI)
;
Eesley, C. (PI)
;
Katila, R. (PI)
...
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Instructors:
Ashlagi, I. (PI)
;
Eesley, C. (PI)
;
Katila, R. (PI)
;
Pelger, M. (PI)
;
Sweeney, J. (PI)
;
Edoh, U. (TA)
;
Garg, A. (TA)
MS&E 111DS: Introduction to Optimization: Data Science (MS&E 211DS)
Formulation and computational analysis of linear, discrete, and other optimization problems. Strong emphasis on data science and machine learning applications, as well as applications in matching and pricing in online markets. Prerequisite:
CME 100 or
MATH 51.
Terms: Win
| Units: 3-4
MS&E 112: Graph and Combinatorial Optimization (MS&E 212)
Optimization problems dealing with graph structure. Topics: introduction to graph theory; combinatorial optimization problems on networks including network flows, matching, and assignment problems; NP-completeness and approximation algorithms; applications in the study of social networks, market design, and bioinformatics. Prerequisites: basic concepts in linear algebra, probability theory,
CS 106A or X.
Terms: Win
| Units: 3
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 or equivalent.
Terms: Win
| Units: 4
| UG Reqs: GER:DB-EngrAppSci
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
Instructors:
Bambos, N. (PI)
;
Lotidis, K. (TA)
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: Win
| Units: 3
Instructors:
Ugander, J. (PI)
;
Crichton, C. (TA)
;
Lobato Lopez, R. (TA)
...
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Instructors:
Ugander, J. (PI)
;
Crichton, C. (TA)
;
Lobato Lopez, R. (TA)
;
Love, S. (TA)
;
Parekh, N. (TA)
MS&E 141: Economic Analysis (MS&E 241)
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: 111 or 211, and
ECON 50.
Terms: Win
| Units: 4
Instructors:
Sweeney, J. (PI)
;
Elfarsdottir, A. (TA)
MS&E 145: Introduction to Finance and Investment
Introduction to modern quantitative finance and investments. The course focuses on the basic principles underlying financial decision making which are applicable to all forms of investment: stocks, bonds, real estate, corporate finance, etc., and how they are applied in practice. Topics: 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, value at risk, expected shortfall; designing optimal security portfolios; the capital asset pricing model. Group projects involving financial market data. No prior knowledge of finance required. Prerequisite: MS&E 120 or equivalent.
Terms: Win
| Units: 4
Instructors:
Giesecke, K. (PI)
;
Fan, Y. (TA)
MS&E 146: Corporate Financial Management (MS&E 249)
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. Limited enrollment. Recommended: 145, 245A, or equivalent.
Terms: Win
| Units: 4
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