This is a graduate-level course in the department of computer and information science. > Prerequisite(s): Undergraduate course in linear algebra, calculus > T

This is a graduate-level course in the department of computer and information science. > Prerequisite(s): Undergraduate course in linear algebra, calculus > The goal of this course is to provide firm foundations in linear algebra and optimization techniques that will enable students to analyze and solve problems arising in various areas of computer science, especially computer vision, robotics, machine learning, computer graphics, embedded systems, and market engineering and systems. The students will acquire a firm theoretical knowledge of these concepts and tools. They will also learn how to use these tools in practice by tackling various judiciously chosen projects (from computer vision, etc.). This course will serve as a basis to more advanced courses in computer vision, convex optimization, machine learning, robotics, computer graphics, embedded systems, and market engineering and systems.