Probability spaces as models for phenomena with statistical regularity. Discrete spaces (binomial, hypergeometric, Poisson). Continuous spaces (normal, exponential) and densities. Random variables, expectation, independence, conditional probability. Introduction to the laws of large numbers and central limit theorem.
- Students can choose to take this course for 3, 4, or 5 units. Those who enroll in the course for less than the maximum unit count will have reduced classwork proportional to the amount of units chosen.
- The amount of workload is monitored by the instructor, and it will increase or decrease relative to the number of units undertaken. Students are expected to attend all class/discussion sessions and perform work in proportion to the number of units in which they have enrolled (students often take only the number of units they need to fulfill a degree requirement).