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The department of computer science and engineering has been accredited by NBA - National Board of Accreditation.

The primary goal of Computer Science and Engineering (CSE) is to provide the best IT infrastructure, world-class learning & research environment, adopt industry practices through industry collaborations and inculcate moral and ethical values. Computer Science & Engineering encompasses a variety of topics that relates to computation, like analysis of algorithms, programming languages, program design, software, and computer hardware. Computer Science engineering has roots in electrical engineering, mathematics, and linguistics. Department has well-qualified and vibrant faculty dedicated to the betterment of the students. Most of the students passed out are well placed or have opted for higher studies. The department has provided a well-equipped computer lab with the latest computer software. The Laboratories are installed with a broadband internet facility. The annual intake of the department is sixty students. The department ensures that program objectives are constantly met and learning outcomes are monitored through periodical tests and assignments. The department is accredited by NBA.

There is a huge scope of placements in CSE. Programming involves a lot of innovations and students who love programming and designing or have a creative mind with a good understanding of coding can get into CSE and fit in very easily. CSE offers some of the highest-paying jobs not only in India but also outside. The following are the Career options for students after completing engineering in Computer Science.

  1. Software Developer
  2. Database Administrator
  3. Computer Hardware Engineer
  4. Computer Systems Analyst
  5. Computer Network Architect
  6. Web Developer
  7. Project Manager
  8. Computer Science Blogger
  9. Content Developer
  10.  Author For Programming Books
  11.  Online Marketer
  12.  Web Designer
  13. Startups
  14.  Marketing And Sales
  15.  Tech Support and Repair
  16.  Professors of programming language
  17.  PCB Designer

About NBA Accreditation of CSE department

An engineering college that has NBA accreditation, carries the stamp of recognition for its education quality assurance both at the undergraduate and postgraduate levels. Colleges are periodically evaluated for stringent NBA accreditation criteria with the purpose that they are on par with international best practices. Our institution has accredited with NBA in Tier-II for UG, Computer Science, and Engineering during the academic year 2019-2020 with validity till June 2022 with the application I.D No: 2676-23/12/17. During NBA accredited period, students got the opportunities to be deemed for graduated with an NBA accredited degree.

CENTRE OF EXCELLENCE – BLOCKCHAIN TECHNOLOGY

  • Rathinam Technical Campus has set up a Centre of Excellence (CoE) in Blockchain Technology with an objective to promote its use and facilitate rapid adoption & on-boarding of Blockchain-based solutions.
  • The CoE will foster stronger collaboration between the government, public and private sectors to ensure that the latest technological tools and frameworks are available for use in different dimensions of governance.
  • Blockchain technology offers a secure, verifiable way to maintain an encrypted accounting ledger of business transactions across multinational borders.
  • This could significantly affect the way that businesses account for business transactions and track products in multinational supply chains.
  • Other promising applications of blockchain and cognitive analytics include financial services, interbank and intra bank fund transfers, insurance, and health care.
  • Blockchain is a revolutionary technology that enables peer-to-peer transfer of digital assets without any intermediaries and is predicted to be just as impactful as the Internet.
  • This specialization in Computer Science Engineering gives students:
    • An understanding and working knowledge of foundational Blockchain concepts
    • A skill set for designing and implementing smart contracts
    • Methods for developing decentralized applications on the Blockchain
    • Information about the ongoing specific industry-wide Blockchain frameworks
  • The specialization also covers a range of essential topics, from the cryptographic underpinnings of Blockchain Technology to enabling decentralized applications on a private Blockchain platform
  • This program will provide a broad overview of the essential concepts of Blockchain Technology – by initially exploring the Bitcoin protocol followed by laying the foundation necessary for developing applications and programming
  • It will also teach our graduates to design, code, deploy and execute a smart contract – the computational element of the Blockchain Technology

Vision

To evolve as a School of Computer Science and Engineering with center of excellence having international reputation.

Mission

M1: Strive for academic excellence in Computer Science and Engineering through student centric innovative teaching-learning process, competent faculty members, efficient assessment and effective use of Information and Communication Technology (ICT).

M2: Establish Centre for Excellence in various verticals of Computer Science and Engineering to promote collaborative research and Industry-Institute Interaction.

M3: Transform the engineering aspirants to socially responsible, ethical and technically competent professionals or entrepreneurs.

List of Program Outcomes (PO’s)

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 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 to reason 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 and need for sustainable development.
PO8 Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO9 Individual and teamwork: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO10 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.
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 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.

Program Specific Outcomes (PSOs)

PSO1 Ability to learn and effectively implement the programming concepts in an effective manner to enhance throughput.
PSO2 Ability to analyze and implement various algorithms and techniques in the area of science and security to create new software applications and solutions to complex problems.

Program Educational Objectives (PEOs)

PEO1 Competent software engineer capable of rendering solutions to industrial and societal needs in an effective manner.
PEO2 Sustained learner by adapting to societal change for improved career opportunities in industries, academics, and entrepreneurial Endeavours.
PEO3 Team leader committed ethically to the profession in a multi-disciplinary environment with a positive approach towards the individual, industry, and society.

The department has the latest technology-based computer systems which include good computing facilities. It has developed different computer laboratories depending on different courses according to the prescribed syllabus of the university and provides hardware, software, and operational support needed for the laboratory work. Each laboratory maintains an adequate number of computers and peripherals of the latest configurations for the students. Almost all the laboratories are equipped with computers to provide one-one support to the students for their lab work. The computers are installed with Linux/Windows operating systems and application software for conducting the official laboratory courses. The laboratories also have a variety of other software that includes various programming languages, development environments, advanced tools for graphics, numerical computing, and final year dissertation works. All computers are connected with a high-end network (both wired and wireless) and supported by multiple high-speed dedicated internet connectivity.

Paper Publication Details

S.NO Paper Publication Details
1 Dr.P.ARULPRAKASH, “Automatic detection of cyberbullying using multi-feature based artificial intelligence with deep decision tree classification”, Computers and Electrical Engineering, 92 (2021) 107186 – September 2020
2 Dr.P.ARULPRAKASH, “A survey on the impact of data analytics techniques in E-commerce”, A survey on the impact of data analytics techniques in E-commerce Materials, Special Issue, November 2020
3 Dr.P.ARULPRAKASH, “Analysis of convolutional recurrent neural network classifier for COVID-19 symptoms over computerized tomography images”, Inderscience Publishers, Regular issue. , March 2021
4 Dr.P.ARULPRAKASH, “Covid Free Challan Form Filling System”, Turkish Online Journal of Qualitative Inquiry (TOJQI), Volume 12, Issue 3, June 2021:41-49, May 2021
5 Mr.T.UDHAYAKUMAR, “Identification of oddity in user browsing behaviors using hidden semi Markov approach “, Journal of Huazhong University of Science and Technology, Volume 50/Issue 05-2021, August 21
6 APARNA CHINNARAJ, UDHAYAKUMAR T, “IDENTIFICATION OF ODDITY IN USER BROWSING BEHAVIORS USING HIDDEN SEMI MARKOV APPROACH”, Journal of Huazhong University of Science and Technology, Volume 50/Issue 6, June/2021.
7 A. WASIM RAJA, C. APARNA, S. Yamini & K. SELVARAJ, “ANALYZING STUDENT PERFORMANCE USING ROBUST CLUSTERING TECHNIQUE”, PROTEUS JOURNAL, VOLUME 11 /ISSUE 11, Nov/2020
8 M.SHYAMALA,” An Enhanced approach using Spectral Cluster-based Decision Tree Data Mining Technique for Analyzing Student Performance in Higher Education Institutions”, PROTEUS JOURNAL,  Volume 11, Issue 11. , November 2020
9 M.SHYAMALA, “Location Privacy and Node Compromise Attack in Wireless Sensor Networks under Global Eavesdropper”, IJCSMC, Volume 2, Issue 10, October 2019

Book Publication Details

S.NO Book Publication Details
1 “Computer Networks”, Dr.P.ARULPRAKASH, Nepress publishing, July 2020.
2 “Database Management Systems”, Dr.P.ARULPRAKASH, Forschung Publishing, September 2020.
3 “Machine Learning”, Dr.P.ARULPRAKASH, Shanlax Publications, August 2021.

Funding Details

S.NO Faculty Name Funding Details Funding Agency Amount Sanctioned

NIL

Patent Details

S.NO Faculty Name Patent Title
1 Mr.T.UDHAYAKUMAR, Mr.P.ARULPRAKASH Adjustable tv cleaner
2 Ms.N.MANJUBHASHINI, Mrs.M.SHYAMALA, Mrs.C.APARNA Mobile and Laptop Camera Cover
3 M.SHYAMALA Foldable Ironing Table
Name: Dr.Madan A Sendil
Designation: Professor
Qualification: B.E., M.S., Ph.D
Area of Interest: Networks, Big Data Analytics
Name: Dr.B.Nagaraj
Designation: Principal/Professor
Qualification: M.E., Ph.D
Area of Interest: Soft Computing, Optimization
Name: Dr.R.Arun Kumar
Designation: Dean – School of Computing
Qualification: M.E., Ph.D
Area of Interest: Deep Learning, Data Mining
Name: Dr.P.Arulprakash
Designation: Associate Professor & Head – CSE
Qualification: M.E., Ph.D.,
Area of Interest: Wireless Sensor Networks, MANET’S
Name: Dr.G.Ganeshkumar
Designation: Associate Professor
Qualification: M.E., Ph.D.,
Area of Interest: Artificial Intelligence, Software Testing
Name: Mr. S. P. Santhosh Kumar
Designation: Assistant Professor
Qualification: M.E., (Ph.D.).,
Area of Interest: Communication Engineering, Internet Programming, Web Technology, Software Engineering, Data Science
Name: Mr.T.Udhaya kumar
Designation: Assistant Professor
Qualification: M.E.,
Area of Interest: Networks, Database Management Systems, Wireless Networks
Name: Mrs.A.Suganyamahalakshmi
Designation: Assistant Professor
Qualification: M.E.,
Area of Interest: DBMS, Big Data, Networks
Name: Ms.Kanakaprabha. S
Designation: Assistant Professor
Qualification: M.Tech.,
Area of Interest: Machine Learning, Deep Learning, Artificial Intelligence, Data Science and Computational Intelligence
Name: Mr.R.Srikanth
Designation: Assistant Professor
Qualification: M.E.,
Area of Interest: Computer Networks, Wireless Ad-Hoc Networks, Artificial Intelligence
Name: Ms.Priyadharshini
Designation: Assistant Professor
Qualification: M.E.,
Area of Interest: Big Data Analytics, Artificial Intelligence
Name: A. Suresh Kumar
Designation: Assistant Professor
Qualification: M.E.,
Area of Interest: Machine Learning
Name: Vineetha Varghese
Designation: Assistant Professor
Qualification: M.E.,
Area of Interest: Artificial intelligence,Data science, IoT
Name: R.Banu Priya
Designation: Assistant Professor
Qualification: M.E.,
Area of Interest: Grid computing
Name: K. Arputha Ajitha Rose
Designation: Assistant Professor
Qualification: M.E.,
Area of Interest: Machine Learning
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