Course Handouts for ECE302, Spring 2020




  • Course information and syllabus
  • Set Theory Overview
  • Lecture: January 13
  • Lecture: January 15
  • Lecture: January 17
  • Lecture: January 22
  • Lecture: January 24
  • Lecture: January 27
  • Lecture: January 29
  • Lecture: January 31
  • Lecture: February 3
  • Lecture: February 5
  • Lecture: February 7
  • Lecture: February 10
  • Lecture: February 12
  • Lecture: Exam 1 Review
  • Lecture: February 17
  • Lecture: February 19
  • Lecture: February 21
  • Lecture: February 24
  • Lecture: February 26
  • Lecture: February 28
  • Lecture: March 2
  • Lecture: March 4
  • Lecture: March 6
  • Lecture: March 9
  • Lecture: March 11
  • Lecture: Two random variables introduction (after expectation section)
  • Lecture: Joint cdfs
  • Lecture: Joint pdfs and pmfs
  • Lecture: Joint pmfs, jointly Gaussian, and independent rvs
  • Lecture: Functions of two random variables
  • Lecture: Two functions of two random variables and joint expectation
  • Lecture: Joint expectation (continued from previous lecture)
  • Lecture: Characteristic functions
  • Lecture: Conditional distributions
  • Lecture: Conditional distributions (continued from previous lecture)
  • Lecture: Random processes introduction
  • Lecture: Mean and autocorrelation functions
  • Lecture: Wide-sense stationary
  • Homework 1
  • Homework 1 Solutions
  • Homework 2
  • Homework 2 Solutions
  • Homework 3
  • Homework 3 Solutions
  • Homework 4
  • Homework 4 Solutions
  • Homework 5
  • Homework 5 Solutions
  • Homework 6
  • Homework 6 Solutions
  • Homework 7
  • Homework 7 Solutions
  • Homework 8
  • Homework 8 Solutions
  • Old Homework 8 Solutions
  • Homework 9
  • Homework 9 Solutions
  • Homework 10
  • Homework 10 Solutions
  • Homework 11
  • Homework 11 Solutions
  • Sample Exam 1
  • Sample Exam 1 solutions
  • Sample Exam 2
  • Sample Exam 2 solutions
  • Sample Exam 3
  • Sample Exam 3 solutions
  • Sample final exam
  • Sample final exam solutions