The Department is equipped with excellent computing facilities. The Internet facility is extended to the students free of cost. The laboratory hours have been extended to enable students work on independent projects and to gain hands-on experience. The department is adorned with well-qualified faculty and technical staff members. Curriculum and Syllabus is upgraded with the feedback from all stakeholders from time to time for the benefit of students. The Potential skills of the students are improved by encouraging them to prepare technical articles for the department magazine.
The students are motivated to participate in technical seminars and competition, both within and outside the campus for their overall personality improvement. The Department has signed MoU with EMC2, the leader in Storage Technology, through EMC Academy program and Infosys Technologies Ltd. through campus connect Programme to train our students to meet the growing demands of the IT industries and to increase employability by providing technical and soft skills. Faculty Enablement Programmes are conducted for our faculties through technical experts from Infosys and EMC2.
To provide reliable and modern technology resources to the faculty and students to develop the competence in Information Technology and to endure with the rapidly changing world to serve the mankind.
- Imparting technical knowledge through innovative teaching and research for budding professionals.
- To equip the students with strong fundamentals, programming and problem solving skills with an exposure to emerging technologies and inculcate leadership qualities with a passion to serve society.
- B-Tech. Information Technology
- Ph.D Information Technology
- Qlik Lab
- Tableau Lab
- Microsoft Lab
- Tech Mahendra Lab
Programme Educational Objectives
- PEO1: Graduates will be able to comprehend mathematics, science, engineering fundamentals, laboratory and work-based experiences to formulate and solve problems in the domain of Information Technology and acquire proficiency in Computer-based engineering and the use of computational tools.
- PEO2: Graduates will be prepared to communicate and work effectively on multidisciplinary engineering projects and practicing the ethics of their profession.
- PEO3: Graduates will realize the importance of self-learning and engage in lifelong learning to become experts either as entrepreneurs or employees in the field to widen the professional knowledge.
PO1: Engineering knowledge
Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
PO2: 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.
PO3: 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.
PO4: 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.
PO5: 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.
PO6: 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.
PO7: 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.
Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO9: Individual and team work
Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
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.
PO11: 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.
PO12: 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.
- PSO1: Ability to organize an IT infrastructure, secure the data and analyze the data analytic techniques in the field of data mining, big data as to facilitate in solving problems.
- PSO2: Ability to analyze and design the system in the domain of Cloud and Internet of Things.
Dr. S. Manoj Kumar
Professor and Head
17 Years of experience in teaching with 32 international and national publication to his credit.
|1.||Dr. Manojkumar. S||Professor & Head|
|2.||Dr. Rajeswari. V.||Associate Professor|
|3.||Dr. Madhumitha. R||Associate Professor|
|4.||Dr. Rajeshkumar. G.||Associate Professor|
|5.||Ms. Sreeja. B. P.||Assistant Professor|
|6.||Ms. Indupoornima. R.||Assistant Professor|
|7.||Mr. Mahendhiran. D.||Assistant Professor|
|8.||Mr. Karthiban. K.||Assistant Professor|
|9.||Mr. Manikandan. S.||Assistant Professor|
|10.||Mr. Jothi Prakash. V.||Assistant Professor|
|11.||Ms. Lavanya. S.||Assistant Professor|
|12.||Ms. Sakthipriya. K.||Assistant Professor|
|13.||Ms. Sherubha. P.||Assistant Professor|
|14.||Ms. Deepa. G.||Assistant Professor|
|15.||Ms. Gopinath. G||Assistant Professor|
|16.||Ms. Gayathri. S.||Assistant Professor|
|17.||Mr. Jegathesh. P.||Assistant Professor|
|18.||Ms. Saranya. K||Assistant Professor|
|19.||Ms. Arulmozhi. P||Assistant Professor|
Augmented Reality and Deep Learning with its Application in Medical Diagnosis
CSIR sponsored Two National Level Seminar on Augmented Reality and Deep Learning with its Application in Medical Diagnosis on 21st and 22nd October 2019, jointly Organizing Department of IT and CSE.