Not too easy. Not too difficult.
Course Overview:
This course is a prerequisite for the upper division political science courses. While this course is essentially mandatory, this course does provide students the analytic skills through learning the statistic R program and explaining the results towards a lay audience. To prepare for this course, I recommend going over basic probability mathematics such as the 68-95-99.7 percent rule, p-values, confidence intervals, t-statistic, and the larger statistical concepts (it depends on the professor, but the previous ones are definitely essential to the course). In addition, I recommend going over and being familiar with histograms, box diagrams, and interpreting graphs.
Course highlights:
My professor taught me the basics of running the statistical R program as well as learning how to interpret the results after creating the graphs via R. In addition, I was able to apply the t-statistic and the p-values towards realistic situations such as immigration issues and voting elections.
Hours per week:
6-8 hours
Advice for students:
I recommend doing the problem sets as soon as you can, just in case that you might have some problems with running the R program. Moreover, I suggest going to office hours if you cannot run the R program at all on the first day.
Not too easy. Not too difficult.
Course Overview:
This class is more like statistics than it is political science. You will use the software STATA, which you'll need to purchase a student subscription for. Overall, the class is extremely confusing.
Course highlights:
I learned how to use STATA, but only the basics (which you can probably solve by hand anyway)
Hours per week:
3-5 hours
Advice for students:
Take STA13 before you take this class and make sure to attend office hours & go to lecture in order to understand.