Courses tagged with "Journalism" (136)

15.975 U-Lab: Leading Profound Innovation for a More Sustainable World is an interactive and experiential class about leading profound innovation for pioneering a more sustainable economy and society. The class is organized around personal reflection practices, relational practices, and societal practices. It focuses on the intertwined relationship between the evolution of capitalism, multi-stakeholder innovation, and presencing.

This course offers an introduction to ethics in business, with a focus on business management. Students explore theoretical concepts in business ethics, and cases representing the challenges they will likely face as managers. There is opportunity to work with guest faculty as well as business and other professional practitioners. Individual class sessions take the form of moderated discussion, with occasional short lectures from the instructor.

15.082J/6.855J/ESD.78J is a graduate subject in the theory and practice of network flows and its extensions. Network flow problems form a subclass of linear programming problems with applications to transportation, logistics, manufacturing, computer science, project management, and finance, as well as a number of other domains. This subject will survey some of the applications of network flows and focus on key special cases of network flow problems including the following: the shortest path problem, the maximum flow problem, the minimum cost flow problem, and the multi-commodity flow problem. We will also consider other extensions of network flow problems.

This course provides a series of strategic frameworks for managing high-technology businesses. The emphasis throughout the course is on the development and application of conceptual models which clarify the interactions between competition, patterns of technological and market change, and the structure and development of organizational capabilities.

This is not a course in how to manage product or process development. The main focus is on the acquisition of a set of powerful analytical tools which are critical for the development of a technology strategy as an integral part of business strategy. These tools can provide the framework for deciding which technologies to invest in, how to structure those investments and how to anticipate and respond to the behavior of competitors, suppliers, and customers. The course should be of particular interest to those interested in managing a business for which technology is likely to play a major role, and to those interested in consulting or venture capital.

Business organizations and markets use a bewildering variety of structures to coordinate the productive activities of their stakeholders. Dramatic changes in information technology and the nature of economic competition are forcing firms to come up with new ways of organizing work. This course uses economic theory to investigate the roles of information and technology in the existing diversity of organizations and markets and in enabling the creating of new organizational forms.

If you are an entrepreneur, one of your priorities, in addition to building your company, is ensuring you have enough money at the right times. Early Stage Capital will consider a broad range of questions that entrepreneurs deal with on this front, including the following: What should your strategy and your priorities be in raising early stage capital? What are the market norms and standards in structuring VC deals? What are the critical negotiating strategies and tactics? How will your company be valued? How can you obtain the optimal valuation for your new venture? What are the critical elements in the relationship between venture capitalists and entrepreneurs? How is the "venture model" evolving? Is it broken? What is the impact of Super Angels and micro VCs?

These are key questions that face all entrepreneurs in 2010, particularly first-time entrepreneurs. This course aims to prepare you for these decisions, as either a potential entrepreneur or venture capitalist. Using live interactions with leading figures in the venture finance community, most of the class sessions will analyze fundamental strategies of the venture-capital investment process and the critical importance of the relationship between entrepreneur and investor. As well, we will have a tactical focus on demystifying the legalities and jargon of the term sheet and the "A round" financing process. Significantly for 2010, we will also frequently consider the rapid and arguably fundamental change in VC today as the "lean startup" model threatens much of the traditional role and value of the venture investor.

Disclaimer: The websites for this course and the materials they offer are provided for educational use only. They are not a substitute for the advice of an attorney and no attorney-client relationship is created by using them. All materials are provided "as-is", without any express or implied warranties.

This course introduces students to the fundamentals of nonlinear optimization theory and methods. Topics include unconstrained and constrained optimization, linear and quadratic programming, Lagrange and conic duality theory, interior-point algorithms and theory, Lagrangian relaxation, generalized programming, and semi-definite programming. Algorithmic methods used in the class include steepest descent, Newton's method, conditional gradient and subgradient optimization, interior-point methods and penalty and barrier methods.

Managers and engineers are constantly attempting to optimize, particularly in the design and operation of complex systems. This course is an application-oriented introduction to (systems) optimization. It seeks to:

• Motivate the use of optimization models to support managers and engineers in a wide variety of decision making situations;
• Show how several application domains (industries) use optimization;
• Introduce optimization modeling and solution techniques (including linear, non-linear, integer, and network optimization, and heuristic methods);
• Provide tools for interpreting and analyzing model-based solutions (sensitivity and post-optimality analysis, bounding techniques); and
• Develop the skills required to identify the opportunity and manage the implementation of an optimization-based decision support tool.