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B.E. Computer Science & Engineering

NBA Accredited

A COURSE THAT FOCUSES ON THE ELEMENTS OF COMPUTER PROGRAMMING AND NETWORKING.

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The Department caters to the ever- growing technology in the sphere of academic, research and training needs of computing concepts, tools and techniques. The Department of Computer Science is an elite department known for its forward-looking approach to higher education and innovative teaching for producing competent software professionals.

HoD’s MESSAGE

"The Department of Computer Science and Engineering (CSE) is dedicated to shaping the future by offering an education that is not only innovative but also of the highest standard. Our relentless pursuit of academic excellence is driven by a team of distinguished and passionate faculty members, committed to nurturing young minds and preparing them to excel in a global arena. We provide a dynamic platform where students are empowered to unlock their full potential and realize their career aspirations. I warmly invite you to be a part of this transformative journey as we continue to elevate the Department of CSE to new pinnacles of success and distinction."

Dr.S.Raja Mohamed
– Head of the Department

Vision of the Department




  • To produce intellectual graduates to excel in the field of Computer Science Engineering and Technologies.

Mission of the Department




  • Providing excellent and intellectual inputs to the students through qualified faculty members.
  • Imparting technical knowledge in latest technologies through the industry institute interaction and thereby making the graduates ready for the industrial environment.
  • Enriching the student’s knowledge for active participation in co-curricular and extracurricular activities.
  • Promoting research-based projects in contexts to social, legal and technical aspects.

Course Offered

The department offers the following courses:

  • 4 year UG Course – B.E. Computer Science & Engineering
  • 2 year PG Course – M.E. Computer Science & Engineering
  • Ph.D in Computer Science & Engineering

Under-Graduate Programme (PO,PSO,PEO)




Department of Computer Science and Engineering
UG (B.E - C.S.E)

Programme Outcome

After the successful completion of the U.G. programme in Computer Science and Engineering, Graduates will be able to:

  • 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 modelling 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.
  • PO8: Ethics: 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.
  • 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 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.



Programme Specific Outcomes (PSO's)

After the successful completion of the U.G. programme in Computer Science and Engineering, Graduates will be able to:

  • PSO1: Categorize the basic engineering knowledge to solve the problems in Computer Science and Engineering according to the environmental needs.
  • PSO2: Apply the modern tools to design and develop the software system ethically to the industrial needs.



Programme Educational Obejectives (PEO's)
  • PEO1: Graduate will be successful in their profession by taking part actively in the field of software and technology.
  • PEO2: Graduate will be proficient in analyzing and facing the challenge in computer science and engineering.
  • PEO3: Graduate will engage in lifelong learning activities by adapting to the advanced software technologies for continuous professional development.

Post-Graduate Programme (PO,PSO,PEO)




Department of Computer Science and Engineering
PG (M.E - C.S.E)

Programme Outcome

After the successful completion of the P.G. programme in Computer Science and Engineering, Graduates will be able to:

  • PO1: Engineering knowledge: Acquire in-depth knowledge of computer science and engineering to analyse, evaluate, and synthesize computing systems.
  • PO2: Problem analysis: Identify, formulate and critically analyse complex computing problems.
  • PO3: Design/development of solutions: Conceptualize solutions, evaluate the alternatives, and arrive at an optimal solution after considering societal, environmental and cultural factors.
  • PO4: Conduct investigations of complex problems: Apply appropriate research methodologies while solving unfamiliar problems, survey research literature, design & conduct experiments, and analyse & interpret results in a broader perspective.
  • PO5: Modern tool usage: Create, select, and apply state-of-the-art techniques and tools to analyse requirements, design, develop, evaluate, and maintain complex computing systems.
  • PO6: The engineer and society: Demonstrate understanding of societal, health, cultural, safety, environmental and legal issues, and consequent responsibilities relevant to computing 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.
  • PO8: Ethics: Understand and commit to professional ethics and norms of computing practices.
  • PO9: Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  • PO10: Communication: Communicate effectively with diverse stakeholders through clear instructions, reports and presentations.
  • PO11: Project management and finance: Apply management principles to projects in computing as well as multidisciplinary environments considering economic factors.
  • PO12: Life-long learning: Engage in independent, reflective and continuous learning in the context of social and technological changes.



Programme Specific Outcomes (PSO's)

After the successful completion of the P.G. programme in Computer Science and Engineering, Graduates will be able to:

  • PSO1: Acquire proficiency in developing and implementing efficient solutions using emerging technologies, platforms and Free and Open-Source Software (FOSS).
  • PSO2: Gain critical understanding of hardware and software tools catering to the contemporary needs of IT industry.



Programme Educational Obejectives (PEO's)
  • PEO1: Graduates will pursue research, or be successfully employed in academia / industries associated with Computer Science and Engineering, or become entrepreneurs, adapting to new technologies and engaging in continuous education and training.
  • PEO2: Graduates will take leadership roles, making holistic decisions guided by professional, ethical, societal, economic, legal and environmental considerations, and communicating clearly with stakeholders.
  • PEO3: Graduates will engage in lifelong learning activities by adapting to the advanced software technologies for continuous professional development.

Highlights of the Department




  • Accredited by NBA under Tier – I
  • Anna University recognized Research Centre
  • Permanent AICTE Affiliation
  • IIT Bombay Remote Centre
  • Innovative Design Thinking Curriculum developed by well experienced Academic and Industry Experts
  • Integrating modern teaching methodologies, including project-based learning, flipped classrooms, and interactive digital tools with Smart Class rooms having Digital interactive display board.
  • Well Experienced and Qualified Faculty members certified by reputed industries like Intel, IBM, NVidia, Wipro, Altair and renowned institutions such as NITTTR, IIT, IIIT, OpenHPI etc.
  • Internships and certification from Infosys Springboard and Wipro
  • Extensive training in coding through competitive KIT portal.
  • Our vibrant alumni network stands as a testament to the success and impact of our department comprising accomplished professionals across various industries worldwide

Lab Facilities

Academic

  • Internet and Software Systems Lab
  • Open Source and Mobile Computing Lab
  • Graphics and Multimedia Lab
  • Data Structures Lab
  • Computer Centre

Labs with Centre of Excellence

  • Intel powered AI – High Performance Computing Lab
  • Advanced Computing Lab in collaboration with CDAC, Bangalore
  • AICTE – Juniper MistAI Networks Lab
  • DELL-EMC Centre of Excellence for Data Science and Big Data Analytics
  • NVidia DLI Teaching Kits for AI and Deep Learning

MoU Signed




  • Yardstick Digital Solutions
  • Nandha Infotech Solutions
  • Redhat Academy
  • Oracle IT Academy
  • VMWare IT Academy
  • Microsoft IT Academy

Offers value added and Certification Courses




  • Coursera (Exclusive Login)
  • Altair (Rapid miner, IoT)
  • Java certification through (WIPRO)
  • NMEICT- FOSSEE
  • IBM Power Skills Academy
  • Google Cloud ready facilitator Program

Associated with various Professional Bodies




  • CSI (Computer Society of India)
  • ISTE (Indian Society for Technical Education)
  • IEEE

Innovations by the Faculty in Teaching and Learning

Placed Student Details

Board of Studies

BoS Members


S.No Name Category
1 Dr.K.Kumar
Professor / CSE
Government of College of Technology, Burgur.
University Nominee
2 Dr.R.Dhanalakshmi
Associate Professor & HoD / CSE
IIIT, Trichirapalli.
Subject Expert 1 other than parent university
3 Dr.T.Senthil Kumar
Professor / CSE
Amrita School of Engineering, Coimbatore.
Subject Expert 2 other than parent university
4 Mr.R.Venkatesan
Project Manager
Ebix Inc, Coimbatore.
Industry Expert
5 Mr.A.Praveen Raj
Technical Solutions Delivery Engineer
Ocient.
PG Alumnus

Regulation, Curriculum & Syllabi

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M.E Computer Science and Engineering

Faculty

Know more about our experienced faculty members

S.No Name PAN No Qualification Area of Specialization Designation Date of Joining Date on which Designated as Professor/ Associate Professor Currently Associated (Y/N) Nature of Association (Regular/Contract/ Adjunct) If contractual mention Full time or Part time Date of Leaving(In case Currently Associated is “No”)
1 Dr.S.Raja Mohamed AOJPM2049A M.E, Ph.D Soft computing, Robotics Associate Professor & HoD 11.06.2012 1.11.2021 Y Regular - -
2 Dr.S.Santhi BJUPS9362K M.E, Ph.D Image Processing, Deep learning Professor 24.06.2016 - Y Regular - -
3 Dr.K.Deeba AMTPD6728K M.Tech, Ph.D Image Processing Professor 18.06.2018 - Y Regular - -
4 Mr.S.Pandiarajan BFDPP1554D M.Tech Network Security Assistant professor 12.07.2011 - Y Regular - -
5 Ms.M.Jayanthi ARBPJ3471A M.E IoT, Network Security Assistant professor 01.06.2011 - Y Regular - -
6 Ms.S.Deepa ASFPD9486L M.E, (Ph.D) Data mining, Machine Learning Assistant professor 15.06.2012 - Y Regular - -
7 Ms.R.Renugadevi BUHPR0928J M.E Deep Learning Assistant professor 08.04.2021 - Y Regular - -
8 Dr.J.Senthil Kumar EODPS9613Q M.E, Ph.D Image Processing, AI Assistant professor 04.08.2021 - Y Regular - -
9 Dr.C.Suresh FFWPS7109C M.E, Ph.D IoT, Neural Networks Associate professor 25.07.2022 - Y Regular - -
10 Ms.R.Sumathy CJGPS2111F M.E AI, Image Processing Assistant professor 02.11.2022 - Y Regular - -
11 Ms.R.Sasikala HCCPS5432R M.E Image Processing Assistant professor 01.03.2022 - Y Regular - -
12 Ms.M.Ramesh AQBPR8663H M.E Network Security Assistant professor 01.06.2011 - Y Regular - -
13 Ms.M.Revathy BDPQR5412M M.Tech Deep learning Assistant professor 02.01.2023 - Y Regular - -
14 Ms.M.Anitha AXNPA4755E M.Tech Big Data Analytics Assistant professor 15.03.2024 - Y Regular - -
15 Ms.P.Malathi BJXPM7486D M.E Artificial intelligence, Data science Assistant professor 10.05.2024 - Y Regular - -
16 Ms.T.Amsaveni M.E Assistant professor 10.05.2024 - Y Regular - -
17 Mr.M.Gowrisankar AZKPG2579H M.Tech Image Processing, Data science Assistant Professor(Sl.G) 12.07.2023 - Y Regular - -
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