## 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