Teaching

Courses (with links to google sites)

1. Deep Learning and Its Connections to Information Theory (ECEN 5002/4732/5732) (AI/ML)
2. Artificial Intelligence: Reasoning and Overview (ECEN 5022/5722) (AI/ML)
3. Machine Learning for Engineers (ECEN 5712) (AI/ML)
4. Digital Communications (ECEN 5692)
   • Communication Standards Surveys by Students
5. Information Theory and Coding (ECEN 5622)
6. Noise and Random Processes (ECEN 5612)
7. Topics in Error Control Coding (ECEN 5002)
8. Introduction to Digital Filtering (ECEN 4632)
9. Communication Theory (ECEN 4242)
   • Communication Standards Surveys by Students
10. Introduction to Probability (ECEN 3810)
11. Linear Systems (ECEN 3300)