Howard A. Blair, Tomislav Bujanovic, Ilyas Cicekli, Nihan Cicekli, Stephen J. Chapin, Biao Chen, C.Y. Roger Chen, Shiu-Kai Chin, Jun Hwan (Brandon) Choi, Wenliang (Kevin) Du, Sara Eftekharnejad, Ehat Ercanli, Makan Fardad, James W. Fawcett, Prasanta Ghosh, Jennifer Graham, Mustafa Cenk Gursoy, Can Isik, Mina Jung, Mehmet Kaya, Andrew Chung-Yeung Lee, Jay Kyoon Lee, Duane L. Marcy, Patrick McSweeney, Won Kyung Park McSweeney, Chilukuri K. Mohan, Jae C. Oh, Susan Older, Vir Phoha, Qinru Qiu, James S. Royer, Tapan K. Sarkar, Q. Wang Song, Sucheta Soundarajan, Jian Tang, Yuzhe (Richard) Tang, William C. Tetley, Pramod K. Varshney, Senem Velipasalar, Li Wang,Yanzhi Wang, Edmund Yu, Reza Zafarani
The mission of the computer and information science programs is to assist students to be ready for work and ready for change. This means preparing students to make professional contributions to computer and information science immediately upon graduation and throughout their professional careers, and to adapt to technological and societal changes.
This program is accredited by the Computing Accreditation Commission of ABET, http://www.abet.org.
The programs in computer science prepare professionals who will adapt to constant changes in technology and who will be leaders in developing the new technologies of the Information Age. The multidisciplinary nature of the curricula offers students a high degree of flexibility to design a program of study tailored to their interests and professional aspirations.
Computer science focuses on programming, algorithms, large-scale software development, and the principles of computing that underlie these areas. Syracuse’s program weaves together an emphasis on fundamental principles with new developments in computing, producing graduates prepared either to begin careers or to pursue advanced studies in the field.
With this program you will have opportunities to learn about:
- Computer and internet security
- Artificial intelligence and machine learning to develop machines that can work among humans.
- Operating system design to develop the next innovation to change Windows, Mac OS X and Unix or to invent a completely new operating system.
- Innovative thinking so you can design programs that control rockets, future search engines, and cars that drive themselves.
- Mathematics to reveal the limits of today’s computers and explore the possibility of a new kind of computer that has yet to be imagined.
- Problem solving, independent thinking and team collaboration in developing a large-scale software systems with other computer scientists and software engineers.
Graduates of the Syracuse University bachelor of science in computer science program achieve the following student outcomes:
- Ability to apply knowledge of computing and mathematics appropriate to the program’s student outcomes and to the discipline. In particular, students should be able to apply this knowledge in a way that demonstrates comprehension of the tradeoffs involved in modeling, design and development of software systems of various scales and complexity.
- Ability to analyze a problem, and identify and define computing requirements appropriate to its solution.
- Ability to design, implement, and evaluate a computer-based system, process, component, or program to meet desired needs.
- Ability to function effectively on teams to accomplish common goals
- Understanding of professional, ethical, legal, security, and social issues and responsibilities.
- Ability to communicate effectively.
- Ability to analyze the local and global impact to computing on individuals, organizations, and society.
- Recognition of the need for lifelong learning and an ability to engage in the same.
- Ability to use current techniques, skills, and tools necessary for computing practice.
- Ability to apply mathematical foundations, algorithmic principles, and computer science theory in the modeling and design of computer-based systems in a way that demonstrates comprehension of the tradeoffs involved in design choices.
- Ability to apply design and development principles in the construction of software systems of varying complexity