Spring 2014  |  PA 5741 Section 001: Risk Analysis and Policy (67075)

Instructor(s)
Class Component:
Lecture
Credits:
3 Credits
Grading Basis:
Student Option
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Times and Locations:
Regular Academic Session
 
01/21/2014 - 05/09/2014
Wed, Fri 09:45AM - 11:00AM
UMTC, West Bank
Carlson School of Management L-118
Also Offered:
Course Catalog Description:
Interplay between risk analysis, decision making, and risk policy. Role of S&T. Assessment methods; risk management processes, issues and methods; role/treatment of uncertainty; factors in decision making; risk-based rule making; public values; risk communication and perception. Scientific, technical, social, political, and ethical issues.
Class Description:
This class will focus on the interplay between risk analysis, decision making, and risk policy for societal issues involving human, environmental, and ecological health and well-being. The role of S&T in risk analysis, either as the subjects or the tools, will be explored. A mix of readings, class discussions, problem solving and group exercises will be used to facilitate understanding of technical risk assessment methods; risk management processes, issues and methods; the role and treatment of uncertainty; factors in decision making; risk-based rule making; public values about risk; risk communication; and risk perception. Scientific, technical, social, political, and ethical issues for select case studies will be discussed. The class will help students develop skills for formulating questions for risk policy research, structuring risk analyses and problems, critiquing analytical and political choices involving risk, and building conceptual models of systems involving risk and decision-making. We will be spending about half the course on the risk policy dimensions (i.e. where risk and S&T intersect with ?society?) and the other half understanding the methodologies and techniques used in risk analysis so that we can be better analysts, consumers, or policy makers in the face of risk information. Although we will do some basic modeling and calculations, sophisticated mathematical abilities are not required. Rudimentary knowledge of statistics and ability to work with algebraic equations will be helpful.
Grading:
15% Final Exam
40% Reports/Papers
30% Written Homework
15% Class Participation
Workload:
50-75 Pages Reading Per Week
8-15 Pages Writing Per Term
1 Exam(s)
2 Paper(s)
2 Presentation(s)
6 Problem Set(s)
Textbooks:
https://bookstores.umn.edu/course-lookup/67075/1143
Instructor Supplied Information Last Updated:
21 January 2014

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