Curriculum
CSE 103. A Practical Introduction to Probability and Statistics
Combinatorics. Distributions over discrete and continuous domains. Conditional probability and Independence. Bayesian inference. Random variables, expectation, mean, variance and covariance. Binomial and Poisson distributions. Markov and Chebyshevâ€™s inequalities. Central limit theorem. Hypothesis testing. Regression, Information theory.
CSE 103 is not duplicate credit for ECE 109, Econ 120A, or Math 183.
Prerequisites: Math 20A and Math 20B.
Plan of classes
 Week1: Introduction and motivation.
 Week2: Sets and Counting.
 Week3: Combinatorics
 Week4: Basic Probability
 Week5: Axioms and Conditional Probability
 Week7: Random Variables
 Week8: Special Distributions.
 Week9: Regression and PCA
 Week10: Information theory
Grading
The final number grade will be on the scale of 0100. With bonus points
 60 points Grades on EdX homework. The lowest 2 grades will be dropped.
 40 points Final Exam

up to 10 Bonus points for participation in class/section/online discussions.
 There will be no Midterms.