Do you want to relocate to the UK? This unit will help you with the language difficulties that can arise while providing assistance with the practicalities of moving your company and its relocating its employees. You will also learn how other companies have approached this task.
This course focuses on the complexities associated with security and sustainability of states in international relations. Covering aspects of theory, methods and empirical analysis, the course is in three parts, and each consists of seminar sessions focusing on specific topics.
This video segment, adapted from Decision in the Streets by civil rights filmmaker Harvey Richards, portrays the interracial protests that took place in San Francisco in 1963-64.
Recent work in moral psychology demonstrates that case discussion helps students to refine decision making techniques, leads them to question unexamined attitudes, and helps improve their moral reasoning. This module works with these developments by providing students with short, realistic scenarios whose narratives end at crucial points of decision. Students are provided with solutions that bring the narrative to a close and are asked to evaluate and rank them by using ethics and feasibility tests. The format bears a superficial resemblance to the Gray Matters exercise currently being used at Boeing Corporation in their ethics training program. But this particular version is more open-ended (students are invited to design their own solutions) and more oriented toward getting students to think about ethical issues and values. The first UPRM version of this module was introduced during an NSF funded retreat (SBR-9810253) held at Maricao, Puerto Rico in 1999. Different versions of this activity have been used in engineering, computer, and business ethics classes.
This module began as a modification of the Gray Matters activity that is used in ethics training workshops at the Boeing corporation. (See Carolyn Whitbeck, Ethics in Engineering Practice and Research, 176-181 for a more detailed history.) This version is based on short decision-making scenarios provided by engineers participating in ethics workshops. Students practice integrating ethical considerations into realistic decision-making situations. This module is being developed as a part of an NSF-funded project, "Collaborative Development of Ethics Across the Curriculum Resources and Sharing of Best Practices," NSF SES 0551779.
This module began as a modification of the Gray Matters activity that is used in ethics training workshops at the Boeing corporation. (See Carolyn Whitbeck, Ethics in Engineering Practice and Research, 176-181 for a more detailed history.) This version
The Hughes case has been extensively researched by Chuck Huff from St. Olaf College with the results published at www.computingcases.org. It will also be one of 10 cases to be included in a textbook on computer ethics entitled, Good Computing: A Virtue A
This team-taught subject is for doctoral students working on emerging technologies at the interface of technology, policy and societal issues. It integrates concepts of research strategy and design from a variety of disciplines. The class addresses problem identification and formulation of research topics, the role of qualitative and quantitative research methods, and the use of various data collection techniques. Coursework focuses on students' thesis proposals, faculty-student study panels, critical evaluation of research design, and ethical issues in conducting research and gathering data.
Interpretations of the concept of probability. Basic probability rules; random variables and distribution functions; functions of random variables. Applications to quality control and the reliability assessment of mechanical/electrical components, as well as simple structures and redundant systems. Elements of statistics. Bayesian methods in engineering. Methods for reliability and risk assessment of complex systems, (event-tree and fault-tree analysis, common-cause failures, human reliability models). Uncertainty propagation in complex systems (Monte Carlo methods, Latin Hypercube Sampling). Introduction to Markov models. Examples and applications from nuclear and chemical-process plants, waste repositories, and mechanical systems. Open to qualified undergraduates.
Study of problems concerning our concept of knowledge, our knowledge of the past, our knowledge of the thoughts and feelings of ourselves and others, and our knowledge of the existence and properties of physical objects in our immediate environment.
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