About IT – CSICE

Department of Information Technology

The Department of Information Technology (IT) was started in the year 2001. IT Department has well qualified and dedicated faculty members with excellent teaching and research skills. Our faculty members are working in wide variety of research areas such as Distributed Computing, Security, Embedded Systems, Internet of Things, Networking, Data Mining, Big Data Analytics and Software Testing. Faculty members are encouraged to carry out research activities by setting up industry linked labs and getting funded projects from Government and Private agencies. They are also encouraged to carry out industrial consultancy projects.

The IT Department has well established laboratories with good computing facilities, software tools and applications to provide practical exposure to students. The following labs are set up in the Department in line with technology trends: Python Programming laboratory, networking laboratory, Cloud and Data Analytics laboratory. We conduct Value Added Courses, Hands-on workshops and Technical Talks throughout the academic year in order to bridge the gap between the industry and the institute. Conducting the above mentioned events help the students to enhance their skill set. Our students regularly participate in Design Contests and Conferences and win prizes. The placement for IT has been excellent with an average salary of 6.52 Lakhs per annum. Our recruiters include top companies such as Amazon, Accenture, CTS, TCS and Zoho. Students are encouraged and motivated to do Mini Projects, Online Courses such as NPTEL, Coursera, Udemy, Udacity and Internships which are very much helpful during campus recruitment season.

Vision

To raise technocrats on par with global standards in education and research imbibed with social responsibility.

Mission

To produce competent engineers with ethical values and commitment for lifelong learning.
To promote the state of art technologies in finding solutions to societal problems.
To make the department a lecture for creative learning and research.

Programme Education Objectives (PEOs)

PEO1: Graduates will be proficient in utilizing the fundamental knowledge of basic sciences, mathematics and Information Technology for the applications relevant to various streams of Engineering and Technology.

PEO2: Graduates with the core competencies necessary for applying knowledge of computers and telecommunications equipment to store, retrieve, transmit, manipulate and analyze data in the context of business enterprise.

PEO3:Graduates to think logically, pursue lifelong learning and will have the capacity to understand technical issues related to computing systems and to design optimal solutions.

PEO4: Graduates to develop hardware and software systems by understanding the importance of social, business and environmental needs in the human context.

PEO5: Graduates to gain employment in organizations and establish themselves as professionals by applying their technical skills to solve real world problems and meet the diversified needs of industry, academia and research.

Programme Outcomes (POs)

Engineering Graduates will be able to:

Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
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.
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.
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.
Modern tool usage: Create, select and apply appropriate techniques, resources and modern engineering and IT tools, including prediction and modelling to complex engineering activities, with an understanding of the limitations.
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.
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.
Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
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.
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.
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.

Programme Specific Outcomes (PSOs):

At the end of the program, the students will be able to:

PSO1: create, select, and apply appropriate techniques, resources, modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.

PSO2: manage complex IT projects with consideration of the human, financial, ethical and environmental factors and an understanding of risk management processes, and operational and policy implications.