Information technology as a specialized sub-domain of computers science focuses on the application of the acquired computer science concepts. It mainly deals with the application of computer systems for storing, studying, transmitting, and manipulating available data or information.
Since its inception the department has been recognized for excellence in research and teaching. The department has a thriving research environment with active with active research groups in the areas of Artificial Intelligence, Bioinformatics, Complex and Social Networks, Data and Web Mining, and software Engineering. Graduates from the department are frequently recruited by both academia and industry, and ex-students of the department occupy top positions in both
academia and industry all over the world.
Blended Learning by IT Depeartment
To create technical manpower of global standards with capabilities of accepting new challenges in the field of Information Technology to serve the society..
To build a quality and cutting-edge technology infrastructure and deliver quality, prompt and reliable technology education services. Establish and maintain an effective academic environment for students. Engage in emerging research areas and establishing leadership. Contribute to the community services at large as well as catering to socio-economic goals in local and national levels
To prepare students to excel in graduate school or technical careers through a world-class, rigorous and competitive program in the field of Information Technology.
To train students across the spectrum of basic and applied science, recognizing and exploiting common descriptions in disparate systems.
To train students with sufficient scientific and Information Technology breadth to design and create novel solutions to real-life problems in computing domain.
1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an enginee- ring 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.
