Course profile
Introduction to R/Python programming and elementary data analysis
Course description not available yet.
AI-generated
Course summary
The course is generally seen as competitive for grades but can be beneficial for those looking to boost their GPA. It covers both R and Python programming and elementary data analysis, with a heavy workload involving multiple assignments and projects. The grading is somewhat generous, though inconsistent, and the teaching quality varies widely among students.
Grading is generally seen as generous, but inconsistent; some find it easy to get an A, while others struggle due to unclear criteria.
The workload is heavy, with multiple assignments and projects. Students spend around 10-12 hours per week on the course, depending on their prior knowledge and understanding of programming.
Assessments include three to four assignments, one final project, and quizzes. There are no midterms or finals, but group work significantly impacts grades.
Teaching quality is mixed; some students find the lectures engaging and helpful, while others struggle with unclear explanations and fast-paced content.
Form a strong study group to ensure consistent understanding of material and better performance on assignments. Be prepared for a heavy workload and consider self-study resources if you have prior programming experience.
AI-generated AI-generated summary based on student reviews, using Qwen 2.5.
Student reviews
0 reviews
No reviews yet. Be the first to share your experience!
Sign in with your HKU email to leave a review.