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.
Megan Squire in the Department of Computing Sciences is the principal investigator for a three-year, $240,028 grant.
As a growing number of grade schools complement traditional textbooks with computer tablets, senior Jeff Stern is using a top Elon University award to research the way children retain information from the two types of media.
Daniel M. Russell, über tech lead for Google Search Quality & User Happiness, encouraged School of Communications students to stay on top of changes to search engine technology as he offered advice for delving deeper into online queries.
Elon University students in a Winter Term "Burst the Bubble" course welcomed local children and their parents to campus in late January for activities that exposed youth to the academic and career possibilities of programming and software design.
The first paper is on the new tools and artifacts used to study software development empirically, while the second paper describes how to use text mining techniques on the StackOverflow software development website.