Course profile
Data visualization
Course description not available yet.
AI-generated
Course summary
The course focuses on data visualization using R and covers both theoretical aspects and practical applications through case studies. It is generally seen as manageable with good grades achievable without extensive effort, though some find the lecture pace slow.
Grading appears generous; many students can achieve an A with minimal effort.
Light to moderate workload; mainly covers R-based assignments and tests but not overly time-consuming. Tutorials are sometimes seen as less helpful.
Assessment includes two tests, two assignments, a group project involving creating an app and writing a report, with no final exam.
Teaching is mixed; some find the lectures engaging while others feel they move too slowly. The professor is generally praised for their contributions to the course.
Bring prior knowledge of R as it can be helpful but not strictly necessary. Focus on understanding the theoretical aspects and practicing with R assignments.
AI-generated AI-generated summary based on student reviews, using Qwen 2.5.
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