QCB 408 (QR) No Pass/D/Fail
Foundations of Applied Statistics and Data Science (with Applications in Biology)
Sample reading list:
Wasserman, All of Statistics
Hastie, Tibshirani, and Friedman, Elements of Statistical Learning
Grolemund and Wickham, R for Data Science
Casella and Berger, Statistical Inference
See instructor for complete list
There will be problem sets due over the course of the semester. There will be primary and supplementary reading assigned by the instructor.
Take Home Final Exam - 30%
Class/Precept Participation - 10%
Problem set(s) - 60%
Statistical, design or other software use required
Not Open to Freshmen.
Prerequisites and Restrictions:
A course in basic statistics or machine learning (e.g., ORF 245, ORF 305, COS 424) or a course in quantitative biology (e.g., NEU 314, QCB 455). A working knowledge of basic genetics and molecular biology. A working knowledge of calculus, linear algebra, and computer programming..
Juniors and Seniors Only 25
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