This course is a required course for students electing the Computer Engineering technology option (CpET) in the Electrical Engineering Technology (EET) program. It is an elective for EET students. The course uses Patterson and Hennessy as a guide but also includes a heavy dose of probabilistic methods and queuing theory to model computers and computer systems. ECET 325 is a lab-based course. Students learn about the architectural aspects of PC and  Sun workstations by using COTS tools as well as writing their own programs and tools to measure computer performance. Students are required to generate their tools in a form that is portable between several operating systems including Windows, Linux, Solaris, and MAC OS X.

This course is an elective for ECET students, focusing on the fundamentals of interconnected computer communication. Local network topologies are defined and developed. Communication protocols are developed using state-event matrices and finite state machines. Microcontrollers and the C programming language are used to develop local networks using several transmission/protocol standards.
 

This course is provided to Computer Information Technology (CIT) students exclusively and is required by the program's Network Engineering Technology option. It bears a resemblence to ECET 474 however it is more suited to those aspiring to set up and provision network elements (NEs). In the lab ECET 374 students setup end-to-end voice and data paths using T1, ISDN, and ATM network elements.

This course is an elective for ECET students. It focuses on layers 1, 2, and 3 in the OSI model. The fundamentals of information theory (Nyquist) and coding techniques are covered extensively. Mediums including copper, optical fiber, and air are explored. Modulation and signaling are covered extensively as well as error probability. Historical evolution of technologies such as T and E carrier, SONET, ATM, and their wireless counterparts such as TDMA and spread spectrum techniques are also explored. In the lab ECET 474 students explore information transfer on the physical medium and the effects of noise and other distortion mechanisms.