Welcome to CS at Abilene

Founded in 2003, TTU Computer Science at Abilene is a center for post-graduate education and research. Strong research groups exist in areas of artificial intelligence, robotics, software engineering, programming languages, and theory of computation. more...

TTU Abilene is the best place to earn a PhD or Master's degree if you are interested in any of the following areas:

Artificial Intelligence
Automatic Programming
Control Systems
Embedded Systems
Health Care Systems
Language Design
Robotics
Robot Vision
Robot Soccer
Optimal Decision Making
Software Engineering
Security and Trust Management
Ubiquitous and Pervasive Computing

Our faculty are highly regarded in their respective fields. We have no undergraduate program, so our faculty are able to spend their time working closely with graduate students.

Aside from the fact that our students get the best education available, they enjoy living in a small city of about 100,000 people. Abilene has all the benefits of a city, without the crime and stress of a metropolis. With a very low cost of living, moderate climate, diverse cultural events, and many recreational opportunities, Abilene is a great place to work and live. If you really want the noise, haze, crime, and stress of a big city, the Dallas-Fort Worth metroplex is only two and a half hours away by car, or 30 minutes by plane. Visiting a big city occasionally will make you appreciate Abilene that much more.

Our community offers excellent schools, attractive and affordable housing, a regional airport, a historic downtown and a strong community spirit, as well as a wealth of tourism and recreational opportunities.

Abilene is at the center of the Clean Energy Revolution, and has been called the greenest city in America. While people in other parts of the country are talking about it, people in West Texas are doing it. more...

Research Spotlight

Data miners at work.

Classification Rule Induction from Databases
This research, lead by Dr. Rattikorn Hewett, develops data mining techniques and algorithms for extracting information from structured databases. The project includes ongoing development of the SORCER(Second-Order Relation Compression for Extraction of Rules) system. SORCER is based on our induction algorithm referred to as table compression.