Computer Science and Engineering Program Objectives and Outcomes
Program Educational Objectives and Student Outcomes for the Computer Science and Engineering Program at ITER
Duration : 4 years
Degree Awarded : Bachelor of Technology (Computer Science and Engineering)
PROGRAM EDUCATIONAL OBJECTIVES
PEO 1: Our graduates will have successful professional careers in industry, government, academia or non-profit organizations
PEO 2: Our graduates will effectively lead, work and communicate in multidisciplinary teams and apply sound engineering principles and design methodology to solve societal problems
PEO 3: Our graduates will maintain currency in their chosen field through higher study, through organizational participation and through participation in professional developmental activities.
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. A. 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.