Courses

  • EE 364: Introduction to Probability and Statistics Panayiotis (Panos) Georgiou The course focuses on reasoning with probabilistic uncertainty. This involves developing skills in logical reasoning and applying those skills to a wide range of problems. It also aims to give students needed preparations for future courses. Introduction to concepts of randomness and uncertainty: probability, random variables, statistics. Applications may be from digital communications, signal processing, automatic control, computer engineering and computer science.
  • EE 434L: Digital Signal Processing Design Lab Panayiotis (Panos) Georgiou Real-time signal processing experiments and design projects using special purpose DSP processor. Focus on C programming for embedded platforms. Understand real-time processing system issues including constraints of embedded systems and complexity analysis for improved algorithm design.
  • EE 586L: Advanced Digital Signal Processing Design Lab Panayiotis (Panos) Georgiou Real-time signal processing experiments and design projects using special purpose DSP processor. Focus on C programming for embedded platforms. Understand real-time processing system issues including constraints of embedded systems and complexity analysis for improved algorithm design.