Course profile
Big data and data mining
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Course summary
FITE3010 covers big data and data mining, suitable for those with a lower CGPA or seeking easy credits. Grading is unpredictable and perceived as harsh, with a heavy focus on the final exam. The workload is light but the course content may not be deep.
Grading is seen as unpredictable and harsh, with high standards required to achieve an A range in the final exam.
Light overall, though the final exam is challenging and time-consuming.
Final exam (out of 50 points, requiring at least 44+ for an A), group projects, no mention of midterms or quizzes.
Professor Liu Qi's initial approach was engaging but grading was confusing and unfair according to some students. Overall, the course is described as having a low workload with not much depth in content.
Understand that the final exam is critical for high grades; prepare thoroughly despite the unpredictable nature of the questions.
AI-generated AI-generated summary based on student reviews, using Qwen 2.5.
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