Week-long “warm-up” required for incoming M.S. students and recommended for incoming Ph.D. students. Topics cover calculus, R, probability, descriptive statistics and data visualization, multiple random variables, matrix algebra and topics in programming.
With lead instructor Sam Morrison, I revised materials from the previous year’s bootcamp and split teaching days.