Course Analytics

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

Upper Division


CS 450

Introduction to Computer Graphics

Data Summary





Hours per Week


/ 5.0 Difficulty

Common Pairings

CS 340:

1 time

CS 325:

1 time

CS 361:

1 time

Tips from Students

Page 1 of 1

FA 20226-12 hours/week3 / 5 CS 361

Make sure you ace the projects because the final is more difficult than anything else in the class.

Submitted Tue Dec 13 2022

FA 20226-12 hours/week2 / 5 CS 325

Start the programming assignments early, there are a few tricky things to setup but professor Bailey provides a good amount of starter code and examples. The most difficult assignment was the shaders assignment (Project 4), which was the only one where I was stressed and turned it in late using one of the bonus days (you get 5 and can use up to 2 per assignment). Apparently it was enough trouble that they were kind enough to push the due date back a few days so everyone had more time on it. The class has weekly quizzes, 2 exams and 6 projects. The exams and quizzes are both open notes. Altogether a fun class if you're interested in computer graphics with OpenGL, only available in the Fall term.

Submitted Mon Dec 05 2022

FA 20226-12 hours/week2 / 5 CS 340

Great creative class with Prof. Bailey. The project requirements are straightforward. Reports consist of screenshots and a video link. As long as the rubric is met, you get full points. 450 is less hand-holding than 475 but the main skeleton code is given. Assignment hints are still helpful. Quizzes come straight from notes (mainly code comment highlights). It's nice to see how creative your peers are also!

Submitted Thu Oct 20 2022

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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.
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