Teaching

ECE3308: Probability, Statistics, and Discrete Mathematics

Course Objective: 

 This course is designed to provide engineering students with a solid foundation in the principles of probability theory and random processes, emphasizing their practical applications in solving real-world engineering problems. The objective is to develop students’ ability to model, analyze, and interpret random phenomena commonly encountered in fields such as communications, signal processing, control systems, and reliability engineering. By integrating theoretical concepts with engineering examples, the course prepares students to apply probabilistic reasoning and stochastic modeling techniques to design, optimize, and evaluate modern engineering systems.

Previous Courses Taught

• Texas Tech University

  • • Probability, Statistics, and Discrete Mathematics

    • Control System Analysis and Design

• Mississippi State University

  • • Introduction to Electronic Circuits (or Circuits (I))

    • Signals and Systems

    • Communication System Theory

    • Random Processes

    • Optimization for Machine Learning

    • Information Theory

    • Wireless Networks

• University of Michigan

  • • Communication Systems

    • Linear System Theory

• National (Yang Ming) Chiao Tung University

  • • Linear Algebra

    • MIMO Communication Systems

    • Convex Optimization

    • Stochastic Processes

    • Wireless Networks