# 20425 Probability for Computer Science Students 1

**Credits**: 4 intermediate credits in Mathematics

**Prerequisites**: none

Required: One of the following: Infinitesimal Calculus I, Differential and Integral Calculus I

This course is an abridged version of **Probability Theory** (20416) that covers the topics required for Computer Science studies. Like **Probability Theory**, it was developed by Abraham Ginzburg, Yossi Kaufman and Naomi Milano-Rosenthal, based on a translation of chapters 1-8 of *A First Course in Probability* (5th ed.), by S. Ross (Prentice Hall, 1998).

**Topics**: Combinatorial analysis; Axioms of probability; Conditional probability and independence; Random variables; Continuous random variables (normal, exponential and uniform); Jointly distributed random variables (discrete); Properties of expectation; Limit theorems.

1There is some overlap in the content of this and other courses. For details, see Overlapping Courses.