Course Analytics

for Oregon State University's Computer Science Post-Bacc Program

Upper Division


CS 391

Social and Ethical Issues in Computer Science

Data Summary





Hours per Week


/ 5.0 Difficulty

Common Pairings

CS 352:

1 time

CS 271:

1 time

CS 162:

1 time

Tips from Students

Page 1 of 1

FA 20236-12 hours/week1 / 5

A really enjoyable course overall. The only "con" to me about this class is the fact it is only 3 credits. I would have liked it to be 4 and have been able to dedicate more time to the course to dive deeper into some of the subjects. My advice: Relax. Enjoy this course, the readings/lectures/assignments are actually very interesting if you put your time into it. The writing can be done in a presentation format instead in most of the assignments. The professor is amazing. If I had my way, this course would be required for all CS Majors for sure.

Submitted Mon Dec 11 2023

SP 20236-12 hours/week1 / 5 CS 325CS 361

Didn't have to worry about grammar and even made MLA/APA formatting errors in several of my submissions. Can use voice, video, or writing to submit assignments but usually requires a citation for nearly every assignment but could be done about 5-8 hours a week if you're good at writing or submit via recording. Involves a lot of writing, if that's your weakness then this class may be moderately challenging.

Submitted Tue Jun 13 2023

Summer 20220-5 hours/week1 / 5

Easy class that mostly consists of writing assignments. The final project is a power point presentation.

Submitted Thu Sep 22 2022

SU 20220-5 hours/week1 / 5 CS 352

Super easy and enjoyable course. Lots of writing but very well structured.

Submitted Mon Aug 29 2022

Page 1 of 1


Course Analytics was developed for students of Oregon State University's online Computer Science program. The data on difficulty, time commitments, course pairings, and tips have been submitted by real students using this survey. Feel free to add your own reviews if you are a current student! The data is scraped from this spreadsheet.

Course Analytics is an open source project by Nic Nolan.
View the repository on GitHub