News, Events and Announcements
Noteworthy notices of interest to Computer Science students and faculty
- CCSU Students Defeat UConn in Case Competition more...
A CCSU team has emerged victorious over UConn in the final round of The Hartford Technical Case Competition, earning a total of $2,000.
Round 1 of the competition, which began two weeks ago, paired four interdisciplinary CCSU student teams with mentors from The Hartford to analyze a real-world business problem and create a functional prototype solution. The teams took on the task of creating a new insurance claims system that avoided bottle-necking during catastrophes. The four CCSU teams presented their solutions to senior technical leaders at The Hartford on October 11.
The winning CCSU team -- Melissa Mulcahy (Computer Science), Paul Pioselli (Management Information Systems), Andrew Rose (Accounting and Management Information Systems Minor), and Aaron Zamojski (Computer Science) -- designed a website that is connected to a database that collects and stores data from the website. Two functionalities within the website aid this process. The customer view allows customers to create and review claims as well as manage their policies. The functionalities for the claims adjuster include the ability to edit, create, and manage claims, policies, and clients.
The team was awarded $1,000, and went on to Round 2 to compete against a UConn team on October 15. The CCSU team won that completion and earned an additional $1,000.
- Join the CS club! more...
Join your fellow students in the CS Club. Get to know others in your major better with programming competitions, collaborating on fun projects, or presenting something that is interesting to the group. In addition to fun stuff, we also focus on preparing you for the job market by providing feedback on resumes, mock job interviews, etc. Check us out!
- We are on Facebook! more...
Welcome to our community on Facebook. All students, alumni, faculty, staff, as well as everybody else is welcome. Join the conversation!
- CS Department receives a $600K NSF grant more...
Drs. Kurkovsky and Kjell, together with Dr. Gotchev from the Department of Mathematics and Dr. Sharma from the department of Physics, received a $600,000 grant from the National Science Foundation program Scholarships in Science, Technology, Engineering, and Mathematics (S-STEM). Beginning in the fall 2011, this grant will continue funding scholarships for academically talented but financially needy students majoring in computer science, mathematics, or physics. Scholarships provided through this program will pay up to $5,400 per year for up to four years.
- CS students win a national research competition more...
Tommy Carpenter and Caleb MacDonald, CCSU students majoring in Computer Science, have won the first prize at the national Student Research Competition organized by the Association for Computing Machinery (ACM). The competition took place at the 41st ACM Technical Symposium on Computer Science Education (SIGCSE) on March 10-13, 2010, Milwaukee, WI. SIGCSE is the largest international conference dedicated to Computer Science education that is attended each year by well over 1000 attendees from around the world. Tommy and Caleb’s work focused on using iris recognition to protect mobile devices from unauthorized access. Both of them are supported by Computer Science, Mathematics, and Physics Scholarship program at CCSU funded by a half-million grant from the National Science Foundation.
- The Brian M. O’Connell Fund more...
Working with his family and friends, Central Connecticut State University has established a fund in honor of Brian M. O’Connell, a professor in CCSU’s computer science and philosophy departments who passed away in May 2008.
- Brian M. O'Connell (1960-2008) more...
- Dr. Markov receives a $250K NSF grant more...
Dr. Zdravko Markov has been named co-principal investigator on a $250,000 grant from the National Science Foundation (NSF). The project involves developing, implementing, and testing curricular materials that teach core Artificial Intelligence topics using a unifying theme of machine learning. Machine learning involves developing systems or programs that improve on their performance based on experience.