EE 178 Probabilistic Systems Analysis

Instructor: Prof. Balaji Prabhakar
Course Assistant: Zi Yin
Contact: balaji, zyin at stanford

Course Information

Introduction to probability and statistics and their role in modeling and analyzing real world phenomena. Events, sample space, and probability. Discrete random variables, probability mass functions, independence and conditional probability, expectation and conditional expectation. Continuous random variables, probability density functions, independence and expectation, derived densities. Transforms, moments, sums of independent random variables. Simple random processes. Limit theorems. Introduction to statistics: significance, estimation and detection. Prerequisites: basic calculus.

Grading: 20% Homework, 35% Midterm, 45% Final

Lectures

Tue, Thu 1:30 PM - 2:50 PM 160-315

Office Hour:
Prof. Prabhakar, Tuesday 9:30-11:00am at Packard 269
Zi Yin, Thursday 9:30-11:30am at Packard 270