Course profile
Real analysis
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Course summary
The course covers Lebesgue measure and integration on R and Lp spaces, with varying difficulty levels depending on the professor. It is generally manageable but can be challenging in terms of homework. Students find it easier to get an A due to generous grading.
Grading is generous, making it easy to achieve a high grade despite tough problem sets.
The workload is moderate with challenging problem sets and a term paper. Homework requires significant effort but is not overly time-consuming.
Assessment includes homework, a term paper, and a final exam. The final exam questions are direct from the textbook or practice problems.
Teaching quality varies; some find it engaging while others feel lectures are watered down. Professors like Zhang Rongsen and CWS are mentioned as effective in their own ways.
Focus on understanding key concepts for exams, especially if the professor is not thorough. Thoroughly explore topics to excel in term papers.
AI-generated AI-generated summary based on student reviews, using Qwen 2.5.
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