Engineering Policy Analysis Minor
An increasingly complex, interrelated, and technological society has come to rely on quantitative models of engineering systems to make decisions. While these models are used to make decisions in domains as varied as telecommunications, energy, and environmental quality, a common set of tools for the use of such models in decision making has been developed and forms the basis of an emerging discipline in engineering policy analysis. The practitioners of this discipline need training in mathematical and social science analytic approaches, as well as an understanding of the human factors that inevitably influence real-world policy choices. The minor in engineering policy analysis is designed to introduce students to these topics.
This minor broadens the exposure of engineering students to societal issues and provides an initial introduction to analytic skills which they may use both in engineering practice and as managers (given that many engineers become managers both in the private and public sector). Graduates will have additional training and a credentials relevant not only to engineering careers, but also to other fields, including urban planning, management consulting, and public administration. The program provides a basis for students to evaluate their interest and aptitude for graduate studies in fields such as business administration, public administration, and public policy. For pre-law students, the minor introduces them to analytic methods that inform the establishment and interpretation of laws as a mechanism of public policy implementation.
24.0 credits
An increasingly complex, interrelated, and technological society has come to rely on quantitative models of engineering systems to make decisions. While these models are used to make decisions in domains as varied as telecommunications, energy, and environmental quality, a common set of tools for the use of such models in decision making has been developed and forms the basis of an emerging discipline in engineering policy analysis. The practitioners of this discipline need training in mathematical and social science analytic approaches, as well as an understanding of the human factors that inevitably influence real-world policy choices. The minor in engineering policy analysis is designed to introduce students to these topics.
This minor broadens the exposure of engineering students to societal issues and provides an initial introduction to analytic skills which they may use both in engineering practice and as managers (given that many engineers become managers both in the private and public sector). Graduates will have additional training and a credentials relevant not only to engineering careers, but also to other fields, including urban planning, management consulting, and public administration. The program provides a basis for students to evaluate their interest and aptitude for graduate studies in fields such as business administration, public administration, and public policy. For pre-law students, the minor introduces them to analytic methods that inform the establishment and interpretation of laws as a mechanism of public policy implementation.
Requirements
Students will be required to complete a total of 24.0 credits. At least 12.0 of these credits may not be counted as part of their major.
Applied Quantitative Methods
6.0 credits
Students select one sequence in probability and statistics consisting of one introductory course and one advanced course. Any introductory course may be combined with advanced course provided that the prerequisites of the advanced course are met.
| Introductory Course Options | ||
| Select one of the following: | 3.0-4.0 | |
| Statistics and Design of Experiments | ||
| Statistical Analysis of Engineering Systems | ||
| Probability and Statistics I | ||
| Engineering Reliability | ||
| Statistical Inference I | ||
| Advanced Course Options | ||
| Select one of the following: | 3.0-4.0 | |
| Probability and Statistics II | ||
| Statistical Inference II | ||
| Data-based Engineering Modeling | ||
| Additional Quantitative Method Electives | ||
| Numerical Analysis I | ||
| Introduction to Optimization Theory | ||
| Mathematical Applications of Statistical Software | ||
| Statistical Decision Methods | ||
| Linear Models for Decision Making | ||
| Advanced Decision Making and Simulation | ||
| Policy Analytic Methods | ||
| Students are required to take at least 11.0 credits, including a course on capital investment decision making and a two-course sequence in economics. | ||
| CIVE 240 [WI] | Engineering Economic Analysis | 3.0 |
| ECON 201 | Principles of Microeconomics | 4.0 |
| ECON 202 | Principles of Macroeconomics | 4.0 |
| Additional Policy Analytic Methods Electives | ||
| Game Theory and Applications | ||
| Microeconomics | ||
| Managerial Economics | ||
| Public Finance | ||
| Resource and Environmental Economics | ||
| Practice of Environmental Economics | ||
| Risk Assessment | ||
| Human Factors | ||
| Select two of the following: | 6.0 | |
| American Government I | ||
| American Government II | ||
| Constitutional Law I | ||
| Theories of Justice | ||
| Environmental Politics | ||
| City in United States Political Development | ||
| Industrial Sociology | ||
| Urban Sociology | ||
| Introduction to Environmental Policy Analysis | ||
| Elective | ||
| One additional credit of coursework is required for the minor. This credit may be any of the three areas above. It is permissible to count 3.0 of the credits from a 4.0 credit class towards fulfilling one of the other areas, thereby using the 4th credit to meet the elective credit requirement. | 1.0 | |
| Total Credits | 24.0 | |






