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Research & Statistics

Biology 2290

Professor: Gray, Krajnyk, Belton, Dean

Description: A laboratory course designed to promote understanding of the scientific method by acquainting students with selected technical and conceptual tools that will enable them to generate, analyze and communicate data from experimental investigations of their own design in the areas of cell biology, population biology and genetics.

Textbook Readings Required: No

Past notes: Click here

Our Feedback:

  • Many students’ marks decrease after the final exam so collect as many marks as you can prior to it 

  • Don’t be afraid to ask the TAs for any clarification 

  • K-Unit:

    • Most of this unit is done in groups so make sure to be in a reliable one

    • Keep up with the work and communicate with your group

    • Follow her instructions for the poster/powerpoint carefully 

  • Grey Unit:

    • The largest portion of this unit is the essay so it is best to find a topic that is thoroughly researched 

    • Her writing expectations are very specific so be sure you meet them  

  • Belton Unit:

    • Includes a quiz very early on in the unit! Study for it thoroughly as it is fairly more difficult than the quizzes in the other units 

  • Dean Unit:

    • People often find this unit the easiest one by far

  • Follow the TA’s instructions and keep the lab notebook updated 

Statistics 2244

Professor: Jennifer Waugh, Benjamin Rubin

Description: An introductory course in the application of statistical methods, intended for honors students in departments other than Statistical and Actuarial Sciences, Applied Mathematics, Mathematics, or students in the Faculty of Engineering. Topics include sampling, confidence intervals, analysis of variance, regression and correlation. Cannot be taken for credit in any module in Statistics, Actuarial Science, or Financial Modelling.

Textbook Readings Required: Yes

Other resources: click here for R cheat sheets

Our Feedback:

  • Practice doing problems; textbook readings are essential, just doing online pre-lecture readings are not enough

  • I took this course in summer 2020 (first time it was offered as an online course) but with a different professor

  • Exams are not proctored (and will most likely not be proctored during the school year), thus the questions are definitely harder than simple recall/recognition (lots of application, thinking questions) 

  • As a result, the exam is open book, but still know your material well or else you’ll run out of time 

  • R (coding) is needed for weekly assignments, make sure you get a good hang of it or at least start assignments early 

  • They’re mark boosters! Make sure you do them and work hard on them

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