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Management Science and Engineering (MS&E) provides programs of education and research by integrating three basic strengths: The analytical and conceptual foundations include decision and risk analysis, dynamic systems, economics, optimization, organizational science, and stochastic systems. Discrete time stochastic control and Bayesian filtering. The class is centered around several data-intensive projects in criminal justice that students work on in interdisciplinary teams. There will be a particular focus on recent developments in discrete choice theory and preference learning. The functional areas of application include entrepreneurship, finance, information, marketing, organizational behavior, policy, production, and strategy. Diffusion approximations, Brownian motion and an introduction to stochastic differential equations. Prerequisites: exposure to probability and background in analysis. Students work closely with criminal justice agencies to carry out these projects, with the goal of producing research that impacts policy. 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. 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. Connections will be made to graph-theoretic investigations common in the study of social networks. students, but masters students with an interested in research topics are welcome. Close associations with other engineering departments and with industry enrich the programs by providing opportunities to apply MS&E methods to important problems and by motivating new theoretical developments from practical experience. Students with a background in statistics, computer science, law, and/or public policy are encouraged to participate. The class will include a theoretical project and a paper presentation. Topics will include random utility models, item-response theory, ranking and learning to rank, centrality and ranking on graphs, and random graphs.

Unlike an MBA, our master’s program addresses the technical as well as the behavioral challenges of running organizations and complex systems. is conferred upon candidates who have demonstrated substantial scholarship and the ability to conduct independent research. 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. In this class, student teams will take actual foreign policy challenges and learn how to apply lean startup principles, ("mission model canvas," "customer development," and "agile engineering¿) to discover and validate agency and user needs and to continually build iterative prototypes to test whether they understood the problem and solution. Team applications required at the end of shopping period. 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. 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. Relaxations of harder optimization problems and recent convex conic linear programs. Modern applications in communication, game theory, auction, and economics. Applicants admitted to the doctoral program, who have indicated on their application that they would like to be considered for financial aid, are automatically considered for these assistantships and fellowships. Students will also gain mastery of skills necessary for success in today's workplace (working in teams, communicating verbally, presenting project work). Primarily for master's students; also open to undergraduates and doctoral students. Explores the relation between technology, war, and national security policy from early history to modern day, focusing on current U. national security challenges and the role that technology plays in shaping our understanding and response to these challenges. response and adaptation to new technologies of military significance. Prerequisites: ECON 50, MS&E 211, MS&E 252, or equivalents, or permission of instructor. Prerequisites: ECON 50, MS&E 211, MS&E 252, or equivalents, or permission of instructor. "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. 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. Theory of polyhedral convex sets, linear inequalities, alternative theorems, and duality. Applications, theories, and algorithms for finite-dimensional linear and nonlinear optimization problems with continuous variables. Topics include interior-point methods, relaxation methods for nonlinear discrete optimization, sequential quadratic programming methods, optimal control and decomposition methods. Possible topics include but are not limited to, spectral graph theory, sparsification, oblivious routing, local partitioning, Laplacian system solving, and maximum flow. New and returning master's students may apply for course assistantships each quarter, but priority is given to MS&E doctoral students. prepares engineers for a lifelong career addressing the critical technical and managerial needs of private and public organizations. The personal, team-based and organizational skills needed to become a transformative leader. Themes include: personal transformation; the inside-out effect, positive intelligence, group transformation; cross-functional teams; re-engineering; rapid - non-profit and for profit - organizational transformation; and social transformation. Guest speakers from industry will present real-world challenges related to class concepts. The application of mathematical, statistical, economic, and systems models to problems in health policy. Topics include the interplay between technology and modes of warfare; dominant and emerging technologies such as nuclear weapons, cyber, sensors, stealth, and biological; security challenges to the U. Startups operate with continual speed and urgency 24/7. Hacking for Diplomacy: Tackling Foreign Policy Challenges with the Lean Launchpad. At a time of significant global uncertainty, diplomats are grappling with transnational and cross-cutting challenges that defy easy solution including: the continued pursuit of weapons of mass destruction by states and non-state groups, the outbreak of internal conflict across the Middle East and in parts of Africa, the most significant flow of refugees since World War II, and a changing climate that is beginning to have impacts on both developed and developing countries. 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. Fundamental Concepts in Management Science and Engineering. Each course session will be devoted to a specific MS&E Ph D research area. Variants of the simplex method and the state of art interior-point algorithms. Elements of convex analysis, first- and second-order optimality conditions, sensitivity and duality. Topic chosen in first class; different topics for individuals or groups possible. This is particularly important for students who would like to study overseas or pursue another major or minor. Students work in teams to develop skills and approaches necessary to becoming effective entrepreneurial leaders and managers. The undergraduate curriculum in Management Science and Engineering provides students training in the fundamentals of engineering systems analysis to prepare them to plan, design, and implement complex economic and technological management systems where a scientific or engineering background is necessary or desirable. What are the unique issues involved in creating a successful startup in emerging economies such as China or India? 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.

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