This course focuses on matrix algebra with an emphasis on application. Part 1 focuses on applications of linear algebra in data mining and computer graphics. Part 2 offers a broader coverage of linear algebra and its applications. It covers topics such as real-life applications of least-squares, Markov Chains, and singular value decomposition etc.