This class was tough.
Course Overview:
Covers a lot of material in detail, receptive to student concerns, stays on topic
Course highlights:
Basic Set theory Basic axioms of probability Conditional probability Sampling with(out) replacement Permutations/combinations Cumulative Distribution Functions (CDF) Probability Mass Functions (PMF) Probability Mass Functions (PDF) Joint Probability Models (2+ Variables) Central Limit Theorem Moment Generating Functions (MGF) Random Variables (Discrete, Continuous) Expected Values, Variance, Std. Deviation Covariance, Correlation, Correlation Coefficient Independent Events, Law of Total Probability
Hours per week:
9-11 hours
Advice for students:
Study practice problems extensively Highly recommend buying physical textbook and having electronic copy Come to all lectures especially review sessions prior to exam dates Use office hours usually right after lecture ends as needed Find a small group of classmates to work out problems together Find online materials such as videos that offer solutions or walk through tough concepts