Vision & Mission
Vision
To provide young undergraduate and postgraduate students a responsive research environment and quality education in Information Technology to contribute in education, industry and society at large.
Mission
M1: To nurture and strengthen professional potential of undergraduate and postgraduate students to the highest level.
M2: To provide international standard infrastructure for quality teaching, research and development in Information Technology.
M3: To undertake research challenges to explore new vistas of Information and Communication Technology for sustainable development in a value-based society.
M4: To encourage teamwork for undertaking real life and global challenges.
Program Educational Objectives (PEOs)
PEO1: Demonstrate recognizable expertise to solve problems in the analysis, design, implementation and evaluation of smart, distributed, and secured software systems.
PEO2: Engage in the engineering profession globally, by contributing to the ethical, competent, and creative practice of theoretical and practical aspects of intelligent data engineering.
PEO3: Exhibit sustained learning capability and ability to adapt to a constantly changing field of Information Technology through professional development, and self-learning.
PEO4: Show leadership qualities and initiative to ethically advance professional and organizational goals through collaboration with others of diverse interdisciplinary backgrounds.
Mission - PEO matrix
Ms
PEOs
PEO1
PEO2
PEO3
PEO4
M1
3
2
2
1
M2
2
3
2
2
M3
2
2
3
2
M4
1
1
1
3
(3 – Strong, 2 – Moderate and 1 – Weak)
Program Specific Outcomes (PSOs)
At the end of the program a student will be able to:
PSO1: Apply the principles of theoretical and practical aspects of ever evolving Programming & Software Technology in solving real life problems efficiently.
PSO2: Develop secured software systems considering constantly changing paradigms of communication and computation of web enabled distributed Systems.
PSO3: Design ethical solutions of global challenges by applying intelligent data science & management techniques on suitable modern computational platforms through interdisciplinary collaboration.