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.
Teams analyzed data provided by HanesBrands, a socially responsible manufacturer and marketer of leading everyday basic apparel.
Four professors will work on projects that explore partnerships between students and faculty through dance technique, investigating the effects of learning with nature as a source, and experimenting with different teaching methods in the same course.
Professor of Computing Sciences Megan Squire writes about how a move to ban systems that totally encrypt messages from sender to recipient threatens access to the best security mechanisms. Originally published by The Conversation, the article has appeared in Scientific American, the San Francisco Chronicle, Phys.org and other media outlets.
Squire, a professor of computing sciences, talks about cybersecurity and how to craft stronger passwords.
The patent for Duke Hutchings, associate professor of computing sciences, relates to grouping and manipulating applications or windows on large- and multiple-display computer systems.