Department of Mathematics and Computer Science
Program Educational Objective
1. Demonstrate the ability to create solutions to computing problems in industry, government or academia appropriate to their levels of professional experience (a, b, c, i, j, k).
2. Be capable of gauging the impact of computing on society, and possess knowledge of the ethical, social and professional responsibilities of their work (e, g).
3. Have effective oral and written communication skills and demonstrate the ability to contribute effectively to the benefit of teams (d, f).
4. Continue to update their professional knowledge and skills to adapt to innovation and change, and be successful in their professional work and/or graduate studies (a, b, c, h, j, k).
Note: letter(s) in parentheses indicates appropriate Student Outcome(s).
(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 requirementsappropriate 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 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.