Intermediate topics in Computer Science using the Python programming language. Topics include object oriented programming, runtime analysis, data structures, and software testing methodologies.
4
UnitsLetter
Grading1, 2
PasstimeNone
Level LimitEngineering
CollegeProf K is by far the best CS professor I've had. Teaches very clearly during lectures, uses I-clicker. Materials are structured to help students visualize codes (using graphs) to make it easier to understand the way the codes run step by step. Form a study group, make sure to do the assigned readings, and practice self-explaining concepts.
Professor Kharitonova's CMPSC9 class can be challenging, but manageable if you stay on top of the labs and use resources like the textbook and office hours. I found unstuck ai to be a helpful study tool alongside the class materials. Overall, it's a rewarding course if you're willing to put in the effort.
Had her for 8 and 9, review focuses on 9. Labs were important but very difficult; later ones took many hours to complete. Professor was a little quiet in lectures but explained material decently. Curved grades at end of course (twice, I'm pretty sure). Exams were tricky but doable; focuses on lab concepts.
I really liked Kharitonova! I think there is a lot of overhating towards her. Going to lecture is very important, and you will for sure need to go to understand concepts if you want a high grade. Labs can also be a bit strenuous at times but if you start early it is not that big of a deal. She is a very sweet professor
Very overhated professor, lectures were very clear and helpful and grading is fair. Labs get slightly involved/difficult later in the quarter, but if you get started early and go to office hours for help, you can finish them easily and learn a lot from them. One midterm and final, each will be doable if you read the textbook/pay attention.