About the Department
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 Potential skills of the students are improved by encouraging them to prepare technical articles for the department magazine. The Department has signed MoU with Google Developers group, TIMS, Favoriot, Techvolt Software Pvt Limited, Orita Sinclair school of Design 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, Wipro, EMC2 etc. to make students trained and get placed in companies.
Vision
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.
Mission
- 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.
Courses Offered
- B-Tech. Information Technology
- Ph.D Information Technology
Lab Facilities
- Watson Lab
- Tarvolds Lab
- Von Newman Lab
- IT Project Lab
Programme Educational Objectives
- PEO1: Graduates will have successful professional career in software industries or pursue higher education in reputed institutions or execute entrepreneurial ventures.
- PEO2: Graduates will deliver effectual computing solutions for real time problems and function as individual or member of multi-disciplinary team.
- PEO3: Graduates will demonstrate continual learning pursuit and exhibit ethical values.
PO1: Engineering knowledge
Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization as specified in WK1 to WK4 respectively to develop to the solution of complex engineering problems
PO2: Problem analysis
Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development. (WK1 to WK4)
PO3: Design/Development of Solutions
Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required. (WK5)
PO4: Conduct investigations of complex problems
Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions. (WK8)
PO5: Engineering Tool Usage
Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems. (WK2 and WK6)
PO6: The Engineer and The World
Analyze and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment. (WK1, WK5, and WK7)
PO7: Ethics
Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws. (WK9)
PO8: Individual and Collaborative Team work
Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.
PO9: Communication
Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language, and learning differences
PO10: Project Management and Finance
Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments
PO11: Life-Long Learning
Recognize the need for, and have the preparation and ability for i) independent and life-long learning ii) adaptability to new and emerging technologies and iii) critical thinking in the broadest context of technological change. (WK8)
- WK1: A systematic, theory-based understanding of the natural sciences applicable to the discipline and awareness of relevant social sciences.
- WK2: Conceptually-based mathematics, numerical analysis, data analysis, statistics and formal aspects of computer and information science to support detailed analysis and modelling applicable to the discipline.
- WK3: A systematic, theory-based formulation of engineering fundamentals required in the engineering discipline.
- WK4: Engineering specialist knowledge that provides theoretical frameworks and bodies of knowledge for the accepted practice areas in the engineering discipline; much is at the forefront of the discipline.
- WK5: Knowledge, including efficient resource use, environmental impacts, whole-life cost, reuse of resources, net zero carbon, and similar concepts, that supports engineering design and operations in a practice area.
- WK6: Knowledge of engineering practice (technology) in the practice areas in the engineering discipline.
- WK7: Knowledge of the role of engineering in society and identified issues in engineering practice in the discipline, such as the professional responsibility of an engineer to public safety and sustainable development.
- WK8: Engagement with selected knowledge in the current research literature of the discipline, awareness of the power of critical thinking and creative approaches to evaluate emerging issues.
- WK9: Ethics, inclusive behavior and conduct. Knowledge of professional ethics, responsibilities, and norms of engineering practice. Awareness of the need for diversity by reason of ethnicity, gender, age, physical ability etc. with mutual understanding and respect, and of inclusive attitudes.
- 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.
| S.No | Name | Designation | Qualification |
|---|---|---|---|
| 1 | Dr. Logeswari S | Professor / Head | M.E, Ph.D |
| 2 | Dr. Jaiganesh. M | Professor | M.E, Ph.D |
| 3 | Dr. Vanitha CN | Professor | M.E, Ph.D |
| 4 | Dr. Rasi D | Professor | M.E, Ph.D |
| 5 | Dr. Kala R | Associate Professor | M.E, Ph.D |
| 6 | Dr. Keerthika R | Associate Professor | M.Tech, Ph.D |
| 7 | Dr. Pushpalatha A | Associate Professor | M.E, Ph.D |
| 8 | Dr. Jothi Prakash V | Assistant Professor | M.Tech, Ph.D |
| 9 | Mr. Jegathesh P | Assistant Professor | M.Tech. |
| 10 | Dr. Senthil P | Assistant Professor | M.Tech., Ph.D |
| 11 | Dr. Castro. S | Assistant Professor | M.E, Ph.D |
| 12 | Mr. Ramaraj S | Assistant Professor | M.E |
| 13 | Ms. Arthi A | Assistant Professor | M.Tech. |
| 14 | Mr. Nagaraj S | Assistant Professor | M.E |
| 15 | Ms. Deepa K | Assistant Professor | M.E |
| 16 | Dr. Monisha R | Assistant Professor | M.E, Ph.D |
| 17 | Mr. Prameen D | Assistant Professor | M.E |
| 18 | Ms. Rajeshwari R | Assistant Professor | M.E |
| 19 | Ms. Abirami M | Assistant Professor | M.E |
| 20 | Mr. Jithesh Raju S | Assistant Professor | M.E |
| 21 | Mr. Premkumar M | Assistant Professor | M.E |
| 22 | Ms. Agjelia Lydia C | Assistant Professor | M.E |
(AY 2024-2025)
| COURSE CODE | COURSE TITLE | GOOGLE LINK |
|---|---|---|
| 21FD17 | Information Security | Click |
| 21FD11 | Object Oriented Analysis and Design | Click |
| 21FD08 | High Speed Networks | Click |
| 21ID14 | Machine Learning Techniques | Click |
| 21FD20 | Automata Theory and Compiler Design | Click |
| 21FE27 | Artificial Intelligence | Click |
| 21FE05 | Design and Analysis of Algorithm | Click |
| 21FE18 | Web Application Development Using Java | Click |
| 21LE09 | Cryptography and Network Security | Click |
| 23CSR305 | Computer Architecture | Click |
| 23CSR306 | Java Programming | Click |
| 23CSR302 | Database Management Systems | Click |
| 23CSR304 | Design and Analysis of Algorithms | Click |
| 23ITR301 | Operating Systems | Click |
| 21OA01 | Principles of Management and Engineering Ethics | Click |
| 21FD24 | Cloud Computing | Click |
| 21FD10 | Data Warehousing and Data Miming | Click |
| 21FD19 | Big data Analytics | Click |
| 21FD09 | Software Engineering | Click |
| 21ID14 | Machine Learning Techniques | Click |
| 23ADR304 | Artificial Intelligence | Click |
| 23CSR405 | Advanced Algorithms | Click |
| 23ITR402 | Communication and Networks | Click |
| 23ITR403 | Web Application Development | Click |
(AY 2023-2024)
| COURSE CODE | COURSE TITLE | GOOGLE LINK |
|---|---|---|
| 18FD08 | High Speed Networks | Click |
| 18PE02 | Cloud Computing Techniques | Click |
| 18FD17 | Information Security | Click |
| 18FD19 | Big data Analytics | Click |
| 21FD09 | Software Engineering | Click |
| 21FD20 | Automata Theory and Compiler Design | Click |
| 21PD15 | Data Communication and Computer Networks | Click |
| 21FE05 | Design and Analysis of Algorithms | Click |
| 21FE18 | Web Application Development using Java | Click |
| 21FD02 | Data Structures | Click |
| 21FD05 | Database Management Systems | Click |
| 21FD13 | Java Programming | Click |
| 180A01 | Principles of Management and Engineering Ethics | Click |
| 21FD10 | Data Warehousing and Data Mining | Click |
| 21FD19 | Big data Analytics | Click |
| 21FD24 | Cloud Computing | Click |
| 21FE27 | Artificial Intelligence | Click |
| 21LE09 | Cryptography and Network Security | Click |
| 21FD03 | Operating Systems | Click |
| 21PD08 | Computer Architecture | Click |
| 21FE01 | Advanced Data Structures | Click |
| 21FE04 | Advanced Java Programming | Click |
| 180A01 | Principles of Management and Engineering Ethics | Click |
(AY 2022-2023)
| COURSE CODE | COURSE TITLE | GOOGLE LINK |
|---|---|---|
| 21FD03 | Operating Systems | Click |
| 18FD15 | Mobile Computing And Communication | Click |
| 18FD14 | Computer Graphics And Multimedia | Click |
| 21DD14 | Computer Graphics And Multimedia | Click |
| 18LE09 | Cryptography And Network Security | Click |
| 18OA01 | Principles Of Management And Engineering Ethics | Click |
| 21FE04 | Advanced Java Programming | Click |
| 21FD03 | Operating Systems | Click |
| 18IE02 | Cloud Computing Technique | Click |
| 21PE04 | Advanced Java Programming | Click |
| 21FE04 | Advanced Java Programming | Click |
| 21FE01 | Advanced Data Structures | Click |
| 21PD08 | Computer Architecture | Click |
| 21EC09 | Data Structures | Click |
| 18FD10 | Data Warehousing And Data Mining | CLick |
| 18FE25 | Industry 4.0 | Click |
(AY 2021-2022)
| COURSE CODE | COURSE TITLE | GOOGLE LINK |
|---|---|---|
| 18FD03 | Operating System | Click |
| 18PE04 | Advanced Java Programming | Click |
| 18FE01 | Advanced Data Structures | Click |
| 18LE09 | Cryptography And Network Security | Click |
| 18PD02 | Data Structures | Click |
| 18CC01 | Programming Logic Design | Click |
| 18FC04 | Advanced C Programming | Click |
| 18FD14 | Computer Graphics And Multimedia | Click |
Previous Semester
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.
