Course profile
Linear models and forecasting
Course description not available yet.
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Course summary
STAT3907 is a challenging course with a mix of theoretical and practical content, particularly in regression analysis and time series. It's good for students who are comfortable with self-study and R programming. Grading can be generous, especially from Harrison, but the workload is heavy, requiring consistent effort and attendance.
Grading can be generous, especially from Harrison, but overall grading is decent according to some reviews.
The course has a heavy workload with self-study required for the final. Assignments are luck-based and time-consuming, but the final exam is relatively easy if students prepare well.
Assessments include assignments (Assign1), midterm, and a final exam. The final exam is similar to past papers, and full step solutions are provided by Harrison.
Teaching quality varies; some find the professor engaging and helpful, while others feel the pace is too fast or the content abstract.
Attend tutorials for better understanding, go over full step solutions, and prepare thoroughly for assignments. The final exam can be easier if students are familiar with past papers.
AI-generated AI-generated summary based on student reviews, using Qwen 2.5.
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