What This Document Is
This is a detailed syllabus for PUBH 6845: Using Demographic Data for Policy Analysis, a graduate-level course offered at the University of Minnesota Twin Cities in the Spring 2009 semester. It outlines the course structure, expectations, and logistical information for students intending to utilize publicly available demographic data in their policy-related research. The syllabus serves as a foundational guide for navigating the complexities of working with real-world datasets.
Why This Document Matters
This syllabus is essential for prospective students, current students enrolled in the course, and anyone interested in understanding the practical application of demographic data to public health and policy challenges. It’s particularly valuable for those seeking to bridge the gap between theoretical knowledge of statistics and research methods and the actual process of conducting policy analysis with complex datasets. Individuals preparing for master's or doctoral research projects involving demographic data will find the overview of course goals and skills acquired particularly useful for assessing course fit.
Common Limitations or Challenges
This syllabus provides a high-level overview of the course and its objectives. It does *not* contain the actual course materials, data sets used in the course, specific analytical techniques taught, or detailed examples of policy analyses. It also doesn’t provide access to the instructor’s lectures or the assignments given to students. It is a planning document, not a substitute for active participation in the course.
What This Document Provides
* Course description and overall learning objectives.
* Information on instructor contact details and office hours.
* A clear outline of the skills students will develop throughout the semester.
* Identification of target student profiles and relevant prerequisites.
* A list of example demographic datasets that will be referenced (e.g., decennial census, Current Population Survey).
* An overview of the types of policy topics suitable for analysis using demographic data.
* Details regarding course credits, meeting times, and location.