Intensity and color transforms. Spatial and frequency filtering. Segmentation and morphological operations. Super resolution and image enhancement.
Classification, regression, clustering, and dimension reduction frameworks. Theory of learing. Issues with learning. Probabilistic modeling.
Convolutional neural networks. Image recognition and segmentation. Advanced neural networks for computer vision. Recurrent neural networks for NLP.
Presentation slides, organization, and delivery. Reading scientific material. Report and paper writing. Email writing. Finding a research problem.