BSOS330

Programming for the Social Sciences: Statistical Computing using R

Reviews for this courseTestudo

R is an open-source programming language, specialized for statistical computing, and provides a variety of statistical and graphical techniques that might be relevant for any BSOS program, such descriptive statistics, linear and non-linear regression, text mining, image processing. The R language is increasingly often employed in advanced statistics and data analytics, offering a wide range of application packages for effective programming. This course introduces the R language and several powerful packages in form of lectures, worked-out examples, and group exercises.

Past Semesters

Franz Klein

0 reviews
Average rating: N/A

During the Spring 2020 and Spring 2021 semesters, students could choose to take some of their courses pass-fail mid-semester which skews grade data aggregated across multiple semesters.

Average GPA of 2.06 between 53 students*

BSOS330 Grade Distribution+-051015202530354045% of studentsABCDFWother
A-: 9.43%
A: 20.75%
A+: 11.32%
B-: 1.89%
B: 1.89%
B+: 3.77%
C: 1.89%
C+: 5.66%
D+: 1.89%
F: 15.09%
W: 26.42%
* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.