Course profile

IMSE2132

Statistical analysis

Department of Data and Systems Engineering

Course description not available yet.

Credits6
Reviews0
SummaryAvailable

AI-generated

Course summary

Mixed

IMSE2132 is generally seen as an approachable statistics course that covers STAT1603 content in more depth. It's recommended to engage with practice problems outside of class for better performance, but the grading is considered generous. The professor, Bill Chan, is described as clear and helpful.

Grading

Grading is considered generous based on one review, but not enough information is provided to confirm this across all reviews.

Workload

The workload is moderate with a few tutorial sessions before midterms and finals. Students suggest doing exercises thoroughly for better grades.

Assessments

Assessments include midterm(s), final exam, and tutorials for Q&A or review of exercise problems.

Teaching

Professor Bill Chan is described as clear and helpful in explaining concepts and responding to emails quickly.

Tips

Engage with practice problems outside class and attend tutorial sessions before exams for better performance.

generous gradingmoderate workloadclear teaching

AI-generated AI-generated summary based on student reviews, using Qwen 2.5.

Student reviews

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