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121 - 130 of 147 results for: MS&E

MS&E 237: The Social Data Revolution: Data Mining and Electronic Business

Hands-on exploration of current and emergent data sources and their impactnnon individuals, business and society: recommendation engines, reputationnnsystems, social network analysis, and engagement metrics. Guest speakers,nnhomework assignments and group projects (e.g., Twitter and Facebook apps)nncombine data strategy, machine learning, modern and traditional marketing,nnbehavioral economics, and incentive design. Cases include Amazon.com,nnBestBuy, MySpace, Lufthansa, and startups. Prerequisites: intellectualnncuriosity, entrepreneurial spirit, some programming experience (details atnnweigend.com/teaching), and willingness to implement in the real world.

MS&E 239: Computational Advertising

Computational, economic, and optimization issues in online advertising, in contexts including web search, social networks, web surfing, and online multimedia. Overview of scientific and engineering issues arising in building online advertising platforms for Internet advertising formats, as well as ad pricing, ad auctions, and ad optimization. Research frontiers of this young discipline. Limited enrollment. Prerequisites: elementary probability and linear algebra.

MS&E 242H: Investment Science Honors

Concepts of modern quantitative finance and investments. Basic concepts under certainty including arbitrage, term structure of interest rates, and bond portfolio immunization. A situation of uncertainty in one period. Topics: arbitrage; theorems of asset pricing; pricing measures; derivative securities; applications and estimating of financial risk measures; mean-variance portfolio analysis; and equilibrium and the capital asset pricing model. Group projects involving financial market data. Enrollment limited. Prerequisites: basic probability, statistics, and economics such as MS&E 120, 121, MATH 51, or equivalents. No prior knowledge of finance required.

MS&E 248: Economics of Natural Resources

Intertemporal economic analysis of natural resource use, particularly energy, and including air, water, and other depletable mineral and biological resources. Emphasis is on an integrating theory for depletable and renewable resources. Stock-flow relationships; optimal choices over time; short- and long-run equilibrium conditions; depletion/extinction conditions; market failure mechanisms (common-property, public goods, discount rate distortions, rule-of-capture); policy options. Prerequisite: 241 or ECON 51.

MS&E 266: Management of New Product Development

Techniques of managing or leading the process of new product development that have been found effective. Emphasis is placed on how much control is desirable and how that control can be exercised in a setting where creativity has traditionally played a larger role than discipline. Topics: design for manufacturability, assessing the market, imposing discipline on the new product development process, selecting the appropriate portfolio of new product development projects, disruptive technology, product development at internet speed, uncertainty in product development, role of experimentation in new product development, creating an effective development organization, and developing products to hit cost targets.

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.

MS&E 283: Scaling up Excellence in Organizations

A problem for every manager is to make 'good' behaviors spread quickly and to shrink 'undesirable' behaviors quickly. This course provides you practical frameworks to accomplish these managerial goals. We will examine issues such as scaling Idea generation, scaling knowledge sharing, scaling the adoption of ideas across firms, scaling change in global firms. We will be using a newly written series of cases for this course and also draw on guest speakers.

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.

MS&E 313: Vector Space Optimization

Optimization theory from the unified framework of vector space theory: treating together problems of mathematical programming, calculus of variations, optimal control, estimation, and other optimization problems. Emphasis is on geometric interpretation. Duality theory. Topics: vector spaces including function spaces; Hilbert space and the projection theorem; dual spaces and the separating hyperplane theorem; linear operators and adjoints; optimization of functionals, including theory of necessary conditions in general spaces, and convex optimization theory; constrained optimization including Fenchel duality theory. Prerequisite: MATH 115.

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.
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