Machine learning techniques and applications. Topics include foundational issues; inductive, analytical, numerical, and theoretical approaches; and real-world applications. Credit not awarded for both CS 4641 and CS 7641/CSE 6740/ISYE 6740/ECE 4252.

Computational machine models and their language classes. Undecidability. Resource-bounded computations. Central complexity-theoretic concepts such as complexity classes, reducibility and completeness.

Provides an introduction to copyrights, patents, trade secrets, trademarks, and commercial law pertaining to computer software and hardware.

CS3451 offers a comprehensive introduction to the mathematical and programmatic foundations of computer graphics. The course covers a range of topics, including the mathematical foundations, GPU pipeline, shape representation, procedural modeling, physically-based simulation, character animation, shading, lighting, texturing, and realistic ray-tracing rendering. The coursework encompasses a blend of programming assignments, in-class quizzes, a mid-term project, and a final project. These projects involve developing an interactive application using OpenGL and a modern GPU rendering pipeline to create visually impressive images and animations. Starter codes and code snippets will be provided to support your development. The grading criteria balance the technical implementation and an in-person demonstration of your code, with an emphasis on creativity and the production of striking visual imagery.

Examines the role and impact of information and communication technology in society, with emphasis on ethical, professional, and public policy issues.

Independent research conducted under the guidance of a faculty member.

An introduction to basic computer hardware, machine language, assembly language, and C programming.

Recitation for CS 2050

Recitation for CS 1332

Recitation for CS 1332