Introduction
Department of Computer Science and Information Technology is one of the oldest departments of the University. It was established in 2002. It is also the largest department of the University in terms of student’s intake and enrollment. The department offers three academic programs at the undergraduate level. 1. BS (Computer Science) 2. BS (Software Engineering), and 3. BS (Artificial Intelligence) The department has launched its graduate program in the Fall 2011 by initiating MS (Computer Science) program. The Doctoral Program (PhD in Computer Science) was started in Fall 2012. Both the MS and PhD are research based Programs. Four major research areas are offered to the students of graduate program. These include 1. Computer Networks 2. Data Mining 3. Software Engineering 4. Image Processing Students are encouraged to start research immediately after registering their first semester of Master or Doctoral Program. Every possible effort is made to ensure that a student could earn the degree within the minimum prescribed time for the degree.
Vision
To be a leading Department of Computer Science & Information Technology by providing high-quality education, fostering innovation in computing, conducting cutting-edge research, driving technological advancement, and cultivating economic leadership.
Mission
The mission of the Department of Computer Science & Information Technology is to deliver excellence in computing education through outcome-based learning, prepare graduates with strong technical and professional skills, promote creativity and innovation in solving real-world problems, advance knowledge through impactful research, and build strong industry–academia linkages to contribute to technological progress and socio-economic development....
Program Learning Outcomes (PLOs) or GA
1. Academic Education – Completion of an accredited program of study designed to prepare graduates as computing professionals.
2. Knowledge for Solving Computing Problems – Apply knowledge of computing fundamentals, knowledge of a computing specialization, and mathematics, science, and domain knowledge appropriate for the computing specialization to the abstraction and conceptualization of computing models from defined problems and requirements.
3. Problem Analysis – Identify, formulate, research literature, and solve complex computing problems reaching substantiated conclusions using fundamental principles of mathematics, computing sciences, and relevant domain disciplines.
4. Design/Development of Solutions – Design and evaluate solutions for complex computing problems, and design and evaluate systems, components, or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations.
5. Modern Tool Usage – Create, select, adapt and apply appropriate techniques, resources, and modern computing tools to complex computing activities, with an understanding of the limitations.
6. Individual and Teamwork – Function effectively as an individual and as a member or leader in diverse teams and in multi-disciplinary settings.
7. Communication – Communicate effectively with the computing community and with society at large about complex computing activities by being able to comprehend and write effective reports, design documentation, make effective presentations, and give and understand clear instructions.
8. Computing Professionalism and Society – Understand and assess societal, health, safety, legal, and cultural issues within local and global contexts, and the consequential responsibilities relevant to professional computing practice.
9. Ethics – Understand and commit to professional ethics, responsibilities, and norms of professional computing practice.
10. Life-long Learning – Recognize the need, and have the ability, to engage in independent learning for continual development as a computing professional.
Progammes Offered
Concerned Faculty
