teaching

AI-related courses taught, covering key areas Pattern Recognition, Machine learning, Circuit and Electronics, Signal and System and Introduction of AI.

Course Topics

  • PatRecPattern Recognition : Techniques for identifying patterns in data with applications in image, speech, and biometrics.
  • MacLearMachine learning: Core algorithms and models for data-driven decision-making and predictive analysis
  • CirCircuit analysis: Principles of circuit analysis and the operation of electronic components like diodes, transistors, and op-amps
  • SigSignal processing: Techniques for analyzing, filtering, and transforming signals in both time and frequency domains
  • AIEssenAI Essentials: Fundamentals of artificial intelligence, covering problem-solving, search algorithms, and basic machine learning concepts