Department of Information Technology

About the Department

The Department of Information Technology was started in the academic year 2001. The Department is located in a newly constructed 70000 Sq.ft state-of-the art information Sciences Block. The block also houses a separate Laboratory block and one open Air Theater to seat 500 students.
Student activities - Mechatronics Engineering courses in Coimbatore

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.

Regulations

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.
Programme Outcomes (POs)

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)

Knowledge and Attitude Profile (WK)
  • 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.
Program Specific Outcomes (PSOs)
  • 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.
Faculty

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. Deena Dhayalan R Assistant Professor M.E
18 Mr. Prameen D Assistant Professor M.E
19 Ms. Rajeshwari R Assistant Professor M.E
20 Ms. Abirami M Assistant Professor M.E
21 Mr. Jithesh Raju S Assistant Professor M.E
22 Mr. Premkumar M Assistant Professor M.E
23 Ms. Sathya Prabha S Assistant Professor M.E
24 Ms. Agjelia Lydia C Assistant Professor M.E
Google Class Room

(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
Seminar

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.

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