Objectives and Outcomes
Objectives:
The educational objectives of the Computer Science Program are:
PEO1: Recognize the knowledge of the computing discipline and expertise in solving problems by satisfying system requirements.
PEO2: Identify the social impact of computing science and perform their duties as a group member with appropriate written and verbal communication skills.
PEO3: Be aware of societal aspects and ethical issues of computing science and continue learning and practicing new technologies through self-motivation.
PEO4: Integrate the mathematical background in the computer-based systems with different types of complexity.
Outcomes:
The skills that our students can expect to master in our Computer Science Program by graduation are rooted in the following Student Outcomes:
a) An ability to apply knowledge of computing and mathematics appropriate to the program’s student outcomes and 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 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.