
The Bachelor of Science degree in Computer Science offered by the Thomas J. Watson School of Engineering at Binghamton University is accredited by the Computing Accreditation Commission of ABET, http://www.abet.org
In keeping with the mission statement of the Watson School, our program strives to provide its graduates with a firm grounding in the fundamentals of computer science, elements of practical application and an appreciation for liberal learning.
At its core, the degree program aims to provide all graduates with an understanding of the theory and practice of automating the representation, storage and processing of information. With the understanding that our graduates will pursue a wide variety of career paths upon graduation, one of the program's objectives is to provide sufficient flexibility in the curriculum so that graduates will have the ability to work within various areas of computer science and to work across other disciplines.
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Program Educational Objectives:-
Graduates of our program will be:
Student Outcomes:-
Students must demonstrate:
(a) An ability to apply knowledge of computing and mathematics appropriate to the discipline
(b) An ability to analyze a problem, and identify and define the computing requirements appropriate to its solution
(c) An ability to design, implement, and evaluate a computer-based system, process, component, or program to meet desired needs
(d) An ability to function effectively on teams to accomplish a common goal
(e) An understanding of professional, ethical, legal, security and social issues and responsibilities
(f) An ability to communicate effectively orally and in writing with a range of audiences
(g) An ability to analyze the local and global impact of computing on individuals, organizations, and society
(h) Recognition of the need for and an ability to engage in continuing professional development
(i) An ability to use current techniques, skills, and tools necessary for computing practice.
(j) An 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.
(k) An ability to apply design and development principles in the construction of software systems of varying complexity.