Teaching

  • Spring 2020.  ECE 662: Pattern Recognition
    • Covering: Machine Learning, Learning Theory, Data Analysis, Feature Extraction, Statistical Analysis, Supervised Learning, Unsupervised Learning, Parametric Classifier, Non-parametric Classifier, etc.
  • Fall 2019.  ECE 301: Signals and Systems
    • Covering: Time-domain and Frequency-domain Analysis, Fourier Methods, Complex System Analysis, Laplace Transform, Z Transform, Convolution, Filtering, State Space Analysis, etc.
  • Spring 2019.  ECE 301: Signals and Systems
  • Fall 2018.  ECE 301: Signals and Systems
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