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Course Criteria
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1.00 Credits
Legal: General business and corporate law and structures. Intellectual property law, including patents, copyrights, trademarks and trade secrets. Issues related to inventions stemming from early embryonic ideas, including university research and breakthrough technologies.
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1.00 Credits
Ethics: Implementing technologies that produce radical change inevitably introduces ethical dilemmas for scientists and engineers: professional ethical codes and how to handle dilemmas when they arise. Topics on the ethical engineer/scientist and the ethical organization, special emphasis on entrepreneurs, and research and development and start-up organizations. The interface between ethics and environmental, health and safety issues for scientists and engineers. Ethical dilemmas in large and small organizations.
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0.50 Credits
Accounting: The application of modern accounting practices to the start-up and running of new science and/or engineering based business. Focus is on embryonic technologies. Will cover accounting fundmentals such as income statements, cash flow and balance sheets and the implications for new technology ventures.
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1.00 Credits
Statistical Methods: Overview of statistics, including probability, random variables, probability distributions, expectation, discrete and continuous probability distributions, sampling distributions, and confidence intervals, with a more comprehensive treatment of hypothesis testing, linear regression and correlation, and selected topics from nonparametric statistics. Focus on problems faced by research and development organizations and small, high technology companies.
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0.50 Credits
Financial Mathematics: Utilizing sophisticated mathematical models and algorithms to evaluate and interpret operations and the financial positions of the research and development and science- and engineering-based enterprises. Extrapolation of physical models used in science and engineering to the business sector.
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1.00 Credits
Operations Research Models: Operations research model in terms of deterministic modeling (linear programming, Simplex Method, sensitivity analysis, and problem framing) and probabilistic modeling (Markov chains, queuing theory, inventory theory, forecasting, and decision analysis). Operation research to improving performance in research and development organizations and start-up companies and minimizing risk.
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1.00 Credits
Supply Chain Management Models: Supply chain management is the combination of art and science that goes into improving a company's ability to create and deliver products and services to customers. The basic components of supply chain management in the context of high levels of scientific and engineering innovation will be discussed, both their qualitative and quantitative features, for both small and large organizations.
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0.50 Credits
Research and Development Management: Concepts involved in the strategic and new venture development planning in a modern high technology company and intensive research components. Issues involved in management of research and development and its functional relationship to employees, corporate structure and society. Focus on functional characteristics of breakthrough technologies, small venture expansion via technological innovation, product development in large corporations, and dynamics of management structure to accommodate advances in science and technology. Principles and practices of administering engineering and science activities, including management, planning, result analysis, human resource management, decision-making and communications. Emphasis on creative problem solving and how creative imagination can be more productively utilized in a science and engineering rich environment. Formulating basic plans, investigating new and non-obvious directions, optimization methods in uncertain situations, and competing solutions.
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0.50 Credits
Quality and Project Management: Quality planning, forecasting and project management as an accelerated look at a systems approach to planning, scheduling, and controlling science-based and engineering-based projects, research and development costs, and trade-off analysis in the context of increased productivity and competitiveness. How Six-Sigma planning is useful in small and large organizations.
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3.00 Credits
Study of topics not covered or only briefly covered in other courses. Readings, problems, reports and exams. Focus is technology that is the basis for the ESTEEM Project.
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