This course explores the intricacies of AI hardware, including the current landscape and anticipating the necessary developments in response to AI's rapid growth and widespread integration across all computing tiers. Through this exploration, you will gain an understanding of both the existing technologies and the future challenges in AI hardware design and implementation. Prerequisites: ECE 2330 or CS 2130. 

Focuses on the techniques for designing and analyzing dependable computer-based systems. Topics include fault models and effects, fault avoidance techniques, hardware redundancy, error detecting and correcting codes, time redundancy, software redundancy, combinatorial reliability modeling, Markov reliability modeling, availability modeling, maintainability, safety modeling, trade-off analysis, design for testability, and the testing of redundant digital systems. Cross-listed as CS 4434. Prerequisite: ECE 3430 or CS 3330 and APMA 3100 or APMA 3110.

Introduces computer architecture and provides a foundation for the design of complex synchronous digital devices, focusing on: 1) Established approaches of computer architecture, 2) Techniques for managing complexity at the register transfer level, and 3) Tools for digital hardware description, simulation, and synthesis. Includes laboratory exercises. Prerequisites: ECE 2330 and CS 2130

Design, analysis and testing of an embedded computer system to meet specific needs, considering public health, safety and welfare as well as societal impacts. Tradeoff analysis and constraint satisfaction facilitated by the use of appropriate engineering analysis techniques. Semester-long team project develops physical prototype. Counts as major design experience for ECE students. Prerequisites (ECE 3430 or ECE 3502 ECR II) AND (ECE 3750 or ECE 2700) AND 4th year standing

A first course in communication networks for upper-level undergraduate students. Topics include the design of modern communication networks; point-to-point and broadcast network solutions; advanced issues such as Gigabit networks; ATM networks; and real-time communications. Cross-listed as CS 4457. Prerequisite:  CS 3330 or ECE 3430

A fourth-level undergraduate course covering a topic not normally covered in the course offerings. The topic usually reflects new developments in the electrical and computer engineering field. Offering is based on student and faculty interests.

A fourth-level undergraduate course covering a topic not normally covered in the course offerings. The topic usually reflects new developments in the electrical and computer engineering field. Offering is based on student and faculty interests.

A lab-based course that provides a hands-on way to learn about new developments in electrical and computer engineering fields. Topics include technologies or application areas that relate to ongoing design and research activities of faculty and students.

Topics include the design and analysis of analog integrated circuits; feedback amplifier analysis and design, including stability, compensation, and offset-correction; layout and floor-planning issues associated with mixed-signal IC design; selected applications of analog circuits such as A/D and D/A converters, references, and comparators; extensive use of CAD tools for design entry, simulation, and layout; and the creation of an analog integrated circuit design project. Prerequisites: ECE 3660 or instructor permission.

Explores the statistical methods of analyzing communications systems: random signals and noise, statistical communication theory, and digital communications. Analysis of baseband and carrier transmission techniques; and design examples in satellite communications. Prerequisite: (APMA 3100 or MATH 3100) AND (ECE 3750 or ECE 2700)