Introduction to Statistical Modeling I
Prof: Paul Villeneuve / Fall 2020
Jan 2, 2022
As someone who is not a math student, I found the course fairly challenging and had to devote a lot of time to reviewing the textbook and tutorial information. The evaluation is based on several assignments, two midterms, and a final exam. I know a lot of frustration among classmates stemmed from technical difficulties— be sure to have reliable access to a printer and scanner because there are penalties for not being able to scan and submit tests within the allotted period of time.
The professor is very knowledgeable and willing to help students understand the material. Would definitely recommend his class.
Prof: Ahmed Almaskut / Winter 2021
Aug 21, 2021
4 assignments (5% each, total 20%), 2 midterms (15% each, 30% total) and a final (50%). If you paid attention in class, most of the examples covered were the same as they were on the assignments and exams. Prof was always available for extra help over zoom during office hours and email.
Lectures should be enough to understand material, but doing the suggested practice questions from the textbook and using MS-LAP will help with making sure you actually know the material and the more you do them, the quicker you will get at doing them. Try to pace yourself with the assignments by doing 1 question a day if possible. My mistake was always leaving it to the last minute and losing lots of marks because I didn't finish.
Prof: Wayne Horn / Winter 2021
Aug 19, 2021
Professor Horn is a really good professor and adapted well in the transition to online learning. He's always available on discord and has always been supportive.
For my class the final exam was worth 50% of the final grade, so make sure to not fall behind.
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