Course profile
Statistical learning for risk modelling
Course description not available yet.
AI-generated
Course summary
The course is generally viewed as manageable and beneficial, though some find it academically challenging. It's good for those interested in statistical learning and risk modelling, particularly for SOA preparation.
Grading was seen as fair to generous; some students found the final exam easy to get an A+ but others struggled with a competitive environment.
The workload is moderate, with regular assignments and a final exam. Lectures are described as heavy on content but not overly time-consuming.
Assessments include midterms, finals, and possibly quizzes or projects. The final exam covers key topics from the first few weeks of lectures.
Teaching quality varies; some found it engaging and clear, while others felt it was poor with irrelevant content and errors in lecture materials.
Understand the core concepts well for exams, as they tend to focus on fundamental knowledge. Practice R programming skills for tutorials and assignments.
AI-generated AI-generated summary based on student reviews, using Qwen 2.5.
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