Linear Algebra theory combined with applications in Engineering and Computer Science.
Covers basic concepts in computer vision, including image formation, image filtering, feature extraction, stereo vision, and object recognition.
Study of general purpose computation on a GPU. Topics include GPU architecture, CUDA programming, and performance optimization.
Covers sorting and searching algorithms, complexity analysis, and algorithm design techniques.
Graduate-level machine learning topics covering the foundations up to modern publications.