There are several hundred thousand Brownfield sites across the country. The large number of sites, combined with how a majority of these properties are located in urban and historically underserved communities, dictate that redevelopment of these sites stands to be a common theme in urban planning for the foreseeable future. Students form a grounded understanding of the Brownfield lifecycle: how and why they were created, their potential role in community revitalization, and the general processes governing their redevelopment. Using case studies and guest speakers from the public, private and non-profit sectors, students develop and hone skills to effectively address the problems posed by these inactive sites.

Risk management is a critical part of event management. This worksheet covers definitions of the key aspects of risk management and the steps taken by event management in creating a risk management plan. A case study is provided for students to apply the risk management process in an industry example.

This course integrates studies of engineering sciences, reactor physics and safety assessment into nuclear power plant design. Topics include materials issues in plant design and operations, aspects of thermal design, fuel depletion and fission-product poisoning, and temperature effects on reactivity, safety considerations in regulations and operations, such as the evolution of the regulatory process, the concept of defense in depth, General Design Criteria, accident analysis, probabilistic risk assessment, and risk-informed regulations.

Frameworks and Models for Technology and Policy students explore perspectives in the policy process -- agenda setting, problem definition, framing the terms of debate, formulation and analysis of options, implementation and evaluation of policy outcomes using frameworks including economics and markets, law, and business and management. Methods include cost/benefit analysis, probabilistic risk assessment, and system dynamics. Exercises for Technology and Policy students include developing skills to work on the interface between technology and societal issues; simulation exercises; case studies; and group projects that illustrate issues involving multiple stakeholders with different value structures, high levels of uncertainty, multiple levels of complexity; and value trade-offs that are characteristic of engineering systems. Emphasis on negotiation, team building and group dynamics, and management of multiple actors and leadership. This course explores perspectives in the policy process - agenda setting, problem definition, framing the terms of debate, formulation and analysis of options, implementation and evaluation of policy outcomes using frameworks including economics and markets, law, and business and management. Methods include cost/benefit analysis, probabilistic risk assessment, and system dynamics. Exercises include developing skills to work on the interface between technology and societal issues; simulation exercises; case studies; and group projects that illustrate issues involving multiple stakeholders with different value structures, high levels of uncertainty, multiple levels of complexity; and value trade-offs that are characteristic of engineering systems. Emphasis on negotiation, team building and group dynamics, and management of multiple actors and leadership.

In this class, students use data and systems knowledge to build models of complex socio-technical systems for improved system design and decision-making. Students will enhance their model-building skills, through review and extension of functions of random variables, Poisson processes, and Markov processes; move from applied probability to statistics via Chi-squared t and f tests, derived as functions of random variables; and review classical statistics, hypothesis tests, regression, correlation and causation, simple data mining techniques, and Bayesian vs. classical statistics. A class project is required.

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.

This document provides a checklist tool for managers and leaders in distance education centers and online departments to utilize when prioritizing projects and determining workload allocation. It includes sections on assessing project alignment with organizational goals, evaluating resources needed, considering risks and constraints, and scoring/ranking projects. The checklist encourages objective analysis of proposed initiatives to aid in decision-making on what projects should move forward.

Innovation may bring a lot of good to society, but innovation is not a good in itself. History provides many examples of new technologies that have had serious negative consequences or that simply just failed to address significant societal challenges.

This course discusses the concept of responsible innovation, its meaning and its significance by addressing the societal implications of new technologies and showing how we might incorporate ethical considerations into technical innovations.

In this course, we will:
discuss the concept of responsible innovation, the individual and collective responsibility and the ethical issues regarding innovation
discuss tools and approaches to responsible innovation, like Value Sensitive Design (VSD)
investigate the economic aspects of responsible innovation
introduce constructive technology assessment
elucidate the relation between risk and responsible innovation
We will do so on the basis of technological case studies. Cases that will be discussed are, among others, nanotechnology, offshore wind parks, Google car, nuclear power, cloud computing, smart meters for electricity, robots in the care sector (carebots), low budget meteorological weather stations in Africa and CO2 capture and storage.

During the course you may team-up with your fellow students to discuss the case studies in an international context. Moreover, students are encouraged to bring their own cases in dedicated discussion fora.

This course is for all those interested in the relationship between technological innovations, ethics and society. It is especially relevant for industry, public, and academic professionals working on developing innovative technologies and students following a traditional technical curriculum who are interested in key value questions attached to their studies.

Focuses on the geotechnical aspects of hazardous waste management, with specific emphasis on the design of land-based waste containment structures and hazardous waste remediation. Introduction to hazardous waste; definition of hazardous waste, regulatory requirements, waste characteristics, geo-chemistry, and contaminant transport. The design and operation of waste containment structures, landfills, impoundments, and mine-waste disposal. The characterization and remediation of contaminated sites, the superfund law, preliminary site assessment, site investigation techniques, and remediation technologies. Monitoring requirements.