Vision of the Department

The Department of Information Technology envisions preparing technically competent problem solvers, researchers, innovators, entrepreneurs, and skilled IT professionals for the development of rural and backward areas of the country for the modern computing challenges.

Mission of the Department

Mission Code

Mission Statement

M1

To offer valuable education through an effective pedagogical teaching-learning process.

M2

To shape technologically strong students for industry, research & higher studies.

M3

To stimulate the young brain entrenched with ethical values and professional behaviors for the progress of society.


PROGRAM OUTCOMES (POs)

1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering

fundamentals, and an engineering specialization to the solution of complex engineering problems.

2. Problem analysis: Identify, formulate, review research literature, and analyze complex

engineering problems reaching substantiated conclusions using first principles of mathematics,

natural sciences, and engineering sciences.

3. Design/development of solutions: Design solutions for complex engineering problems and

design system components or processes that meet the specified needs with appropriate

consideration for the public health and safety, and the cultural, societal, and environmental

considerations.

4. Conduct investigations of complex problems: Use research-based knowledge and research

methods including design of experiments, analysis and interpretation of data, and synthesis of the

information to provide valid conclusions.

5. Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern

engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.

6. The engineer and society: Apply reasoning informed by the contextual knowledge to assess

societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the

professional engineering practice.

7. Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

9. Individual and team work: Function effectively as an individual, and as a member or leader in

diverse teams, and in multidisciplinary settings.

10. Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

11. Project management and finance: Demonstrate knowledge and understanding of the

engineering and management principles and apply these to one‟s own work, as a member and

leader in a team, to manage projects and in multidisciplinary environments.

12. Life-long learning: Recognize the need for, and have the preparation and ability to engage in

independent and life-long learning in the broadest context of technological change.

Program Educational Objectives (PEO)

1.    Our graduates will show management skills and teamwork to attain employers’ objectives in their careers.

2.    Our graduates will explore the opportunities to succeed in research and/or higher studies.

3.    Our graduates will apply technical knowledge of Information Technology for innovation and entrepreneurship.

4.    Our graduates will evolve ethical and professional practices for the betterment of society.

Program Specific Outcomes (PSO)

1. The capacity to comprehend computer architectural concepts in order to analyze, create, and build algorithms for logical and difficult issues.

 2. Students can improve their professional competencies and understanding of programming by applying software engineering, Computer Graphics techniques to solve a variety of computational issues.

 3. To implement emerging technologies such as Machine Learning, Soft computing, Data Mining, Cloud computing etc. to serve the society.