Computers are the most complicated and powerful machines ever devised by human beings. The scale of computers extends to the very large, with ultra-large scale computing and "Big Data", to the very small, with nanotechnology and quantum computing.
In the Computing Sciences, we study how these incredibly interesting machines work. And, of course, we make new machines - in the form of computer hardware, software and systems - in order to solve the problems of everyday life.
The study of computing emphasizes excellent problem-solving techniques which translate well into the workforce. Since the computer field is constantly changing, students must learn to communicate effectively and be able to adapt quickly to new concepts and changing technology.
An Elon Computing Sciences education is an excellent choice. Because classes are small, hands-on learning starts from day one. Our faculty members are dedicated to staying current in the field, engaging students with cutting-edge and relevant projects. The equipment and facilities we use in our classes are varied and exciting. These include mobile devices of all types, robots, game systems, multi-displays, private and configurable laboratory spaces, and areas for hands-on building.
Internships, research projects, and independent learning experiences that complement classroom learning are plentiful. Other opportunities for student involvement include the student games and computing club (GCC) and participation in regional programming contests. After graduation, Computing Sciences students pursue employment in many industries, including government agencies, educational institutions, and businesses of all sizes from Fortune 500 to startups. Many Elon Computing Sciences students also choose to continue their studies in graduate school.
The professor of computing sciences won the "Best Data Showcase Award" at the 13th International Conference on Mining Software Repositories for her paper and longitudinal data set about software developers who use the Ruby programming language.
President Emeritus Earl J. Danieley, who has given Elon 70 years of service, is among 19 faculty and staff members retiring this year.
Drs. Hutchings and Squire published "VisMap: Exploratory Visualization Support for Introductory Data Science and Visualization" in the proceedings of The ACM Technical Symposium on Computer Science Education. Hutchings presented the work at the conference on March 3, 2016, in Memphis.
The newest cohort of scholars will participate in a program that helps Elon University faculty integrate sustainability into an existing course.
The assistant professor of computing sciences collaborated with researchers from the University of North Carolina at Charlotte on the work presented at the International Conference on Distributed Smart Cameras.