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Teaching
- Signals and Systems (2018 - )
- Classical undergraduate course covering liner time-invariant systems, Laplace transform, Fourier series, Fourier transform, etc.
- Syllabus
- Data Analytics (2017 - )
- Introductory machine learning course covering Bayesian learning, regression, classification, clustering, dimensionality reduction, etc. (own design)
- Syllabus
- Advanced Data Analytics (2017 - )
- Graduate machine learning course covering manifold learning, mixture models, graphical models, approximate inference, etc. (own design)
- Syllabus
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