EEC260 - Random Signal and Noise

This repository contains the lecture notes to EEC260 - Random Signal and Noise. This is a graduate-level course that covers the basics of Probability and various models of stochastic processes.

Course Content

• Chapter 1 - Probability
• Chapter 2 - Random Variables
• Chapter 3 - Limit Theorem
• Chapter 4 - Stochastic Process
• Chapter 5 - Markov Chain
• Chapter 6 - Weiner Process
• Chapter 7 - Poisson Process

Course Evaluation

• Overall, the probability part of the course is interesting and I got to consolidate my foundations better.
• The random signal/process parts were a bit dry. Lots of memorizing and using the formula.
• Overall, I'll give this course a 2.5/5.

Reference

• The notes were during the Fall Quarter of 2023 while taking Professor Khaled Abdel-Ghaffar's EEC260 class. View more about the course information on this page: https://ece.ucdavis.edu/course-catalog
• The notes contain images from Professor Ghaffar's lecture notes.