lVaErvC+H+S2COrzPeOalw==fall 2025
Finished the course with an B, achieving a 83.71 %
Background: Bachelor's degree in Computer Science from a university ranked #350-400 out of 436 National Universities in U.S. News English is my second language (TOEFL score: 95/120) 1 year of experience as a full-stack developer and 6 months of experience in data analytics
Overall: This is probably the only B I got in the OMSCS program. I got As in my other courses like GA, ML, AI, KBAI, etc. I took this class because I felt a bit burned-out and wanted an easier semester, but it turned out harder than I thought based on my background. The biggest challenge was the exams because they focused too much on remembering English words and terms. Since English is not my first language, the questions were long and hard to understand sometimes, even though I studied.
Still, I don’t regret taking this class. It was well organized and helped me learn how people use computers and mobile devices. As a data analyst who builds machine learning models for medical systems, this class gave me good ideas about how to collect and use user data.
Major-Case Reflection Assignments (20 / 20%): These assignments are interesting, and as long as you understand what the question is asking and answer it correctly, it shouldn’t be a problem to get 100s.
Weekly Mini-Case Discussions (20 / 20%): Smaller than Major-Case, you only need to watch the lecture video and explain what you think about the question. It’s fun and helps you learn some real historical cases.
Midterm Exam & Final Exam (22.28 + 21.43 / 60%): The weight for this is just too high, as the overall summary explains. I tried my best.
Rating: 5 / 5Difficulty: 2 / 5Workload: 6 hours / week