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B.E. Computer Science & Engineering

NBA Accredited

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

 computer science engineering course, best colleges in coimbatore for computer science engineering, best colleges for computer engineering

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 CSE is striving hard towards the goal of providing innovative and quality education with high standard to achieve academic excellence and provides platform for the students to achieve their career goals. The department has a team of highly experienced and motivated faculty members who are in process of tuning the young minds to make them globally competitive. I invite you to be part of our efforts as we propel the Computer Science Department to ever-greater heights."

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




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




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
  • Permanent AICTE Affiliation
  • IIT Bombay Remote Centre
  • Established National Cyber Defense Research Centre (NCDRC) Laboratory

Lab Facilities

The Department has state of art laboratories

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

MoU Signed




  • Here maps
  • Apcomart Pvt Ltd., Bangalore
  • NCDRC - Artificial Intelligence Lab
  • National Cyber Defense Research Centre (NCDRC)
  • Microsoft IT Academy
  • VMware IT Academy
  • EMC2 – Centre of Excellence in Data Science & Big Data Analytics
  • ZOHO Creator
  • Amphisoft Technologies

Offers Value Added Programs And Certification Courses




  • ORACLE
  • .Net technology
  • Java (Core and advanced)
  • Cloud Infrastructure Services
  • ZOHO CREATOR
  • Data Science & Big Data Analytic
  • VMware-Virtualization

Associated With Various Professional Bodies




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

Innovations by the Faculty in Teaching and Learning

Placed Student Details

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.Mahalakshmi ARCPM2027N M.E, Ph.D Software Engineering, Data Mining Professor 03.06.2020 - Y Regular - -
4 Dr.K.Deeba AMTPD6728K M.Tech, Ph.D Image Processing Professor 18.06.2018 - Y Regular - -
5 Dr.C.Deepa AMOPD2951 M.E, Ph.D Wireless Sensor Network, Deep Learning Associate Professor 20.04.2018 05.10.2020 Y Regular - -
6 Ms.N.Gugha Priya BUTPP0558C M.E Data Mining Assistant professor 01.06.2011 - Y Regular - -
7 Mr.S.Pandiarajan BFDPP1554D M.Tech Network Security Assistant professor 12.07.2011 - Y Regular - -
8 Ms.M.Jayanthi ARBPJ3471A M.E IoT, Network Security Assistant professor 01.06.2011 - Y Regular - -
9 Ms.S.Deepa ASFPD9486L M.E, (Ph.D) Data mining, Machine Learning Assistant professor 15.06.2012 - Y Regular - -
10 Mr.V.M.Prabhakaran BPYPP0450D M.E Cloud Computing Assistant professor 30.06.2015 - Y Regular - -
11 Ms.A.Anu Priya BCIPA4532Q M.E Network Security Assistant professor 01.07.2016 - Y Regular - -
12 Ms.R.Renugadevi BUHPR0928J M.E Deep Learning Assistant professor 08.04.2021 - Y Regular - -
13 Dr.J.Senthil Kumar EODPS9613Q M.E, Ph.D Image Processing, AI Assistant professor 04.08.2021 - Y Regular - -
14 Ms.K.Saranya EJHPS0769G M.E, (Ph.D) Deep Learning Assistant professor 04.08.2021 - Y Regular - -
15 Ms.S.Sujaya OQCPS2948F M.E Artificial Intelligence, Deep Learning Assistant professor 16.09.2021 - Y Regular - -
16 Dr.C.Suresh FFWPS7109C M.E, Ph.D IoT,Neural Networks Associate professor 25.07.2022 - Y Regular - -
17 Ms.R.Sumathy CJGPS2111F M.E AI,Image Processing Assistant professor 02.11.2022 - Y Regular - -
18 Ms.R.Sasikala HCCPS5432R M.E Image Processing Assistant professor 01.03.2022 - Y Regular - -
19 Mr.M.Gowrisankar AZKPG2579H M.Tech Data Science Assistant professor 12.07.2023 - Y Regular - -
 computer science engineering course, best colleges in coimbatore for computer science engineering, best colleges for computer engineering