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School of Computing Sciences

B.C.A (Evening Batch)

Vision

The Department of Information Technology aims to produce globally competent graduates, skilled intellectual professionals, and a successful entrepreneur in the field of computer science and Information Technology to meet the current challenges in the fast-growing IT industry.

Mission

  • Provide strong theoretical and practical knowledge to the students in the computer science discipline.
  • To equip our students to attain the skill set Imperative to harness the opportunities present in this dynamic Environment.
  • Provide technical & skill-based quality training to students in the field of Information technology
  • Empowering the Youth in rural communities with computer knowledge
  • Inculcate knowledge about Socio-economic duties & responsibilities and human & ethical values to become an optimistic global citizen and a life-long learner.
  • Provide environmental education to build knowledge on environmental issues and also to take necessary actions to keep our environment healthy and sustainable for the future.

Programme Educational Objectives (PEOs)

PROGRAM EDUCATIONAL OBJECTIVES (PEO)

PEO1: Emerge as globally competent computer professionals in multidisciplinary domains.

PEO2: Excel as a socially committed individual having an ethical value and empathy for the needs of society

PEO3: Become an entrepreneur possessing a leadership skill that can provide solutions and develop software products.

PEO4: Involve in lifelong learning to adapt the latest technologies and advancements in the emerging areas of computer applications.

PEO5: Provide technical & skill-based quality training to the students in the field of Information technology.

Programme Outcomes (POs) & Programme Specific Outcomes(PSOs)

PROGRAM OUTCOME (PO)

PO1: Critical Thinking: Apply knowledge of Computer Science to identify, and analyze, problems and to provide effective solutions in the area of Computing.

PO2: Computing Skills and Ethics: Analyze a problem, and identify and define the computing requirements appropriate to its solution.

PO3: Analytical skill: Ability to design, develop algorithms, and provide software solutions to cater the industrial needs.

PO4: Modern Tool Usage: Use current techniques, skills, and tools necessary for computing practices

PO5: Employability Skills: Inculcate skills to excel in the fields of Information Technology and its Enabled services, Government and Private sectors, Teaching and Research.

PO6: Ethics: Insists ethical responsibilities, and human and professional values, and makes their contribution to society.

PO7: Self-Directed and Life-long Learning: Engaged in lifelong learning to equip them to the changing environment and be prepared to take up mastering programs.

PO8: Individual and team work: Function effectively as an individual, and as a member or a leader in diverse team and multidisciplinary settings.

PO9: Environment and sustainability: Understand the impact of professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

PO10: Project management and finance: Demonstrate knowledge and understanding of the problem and management principles and apply

PO11: Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data

PO12: Design/development of solutions: Design solutions for complex problems to meet the specified needs, considering the public health and safety cultural, societal, and environmental.

PROGRAM SPECIFIC OUTCOME (PSO)

PSO1: Understand the basic concepts of computers.

PSO2: An ability to apply knowledge of mathematics, computer science, and management in practice.

PSO3: An ability to enhance not only a comprehensive understanding of the theory but its application too in diverse field

PSO4: Analyze and apply the latest technologies to solve problems in the areas of computer applications.

PSO5: Apply technical and professional skills to excel in business.

PSO6: Able to build software applications and tools through quantitative and qualitative techniques

PSO7: Able to design a computing system to meet desired needs within realistic constraints such as safety, security, and applicability in multidisciplinary teams with a positive attitude.

PSO8: Develop practical skills to provide solutions to industry, society, and business

PSO9: Able to communicate effectively in both verbal and written form.

Curriculum & Syllabus

CURRICULUM & SYLLABUS

MINIMUM CREDITS TO BE EARNED: 140

CategoryCourseHours/WeekCredits
LectureTutorial Practical
CORE Problem Solving and Objects Oriented Programming4004
CORE Digital Logic Fundamentals4004
CORE Mathematics I0062
COREPratical -I
Programming in C++		0062
AECCAbility Enhancement Complusory Courses - I5005
AECCEnglish Paper - I5005
Total220624

View full course curriculum

 

 

Eligibility Criteria

ProgramProgram Duration (Year)EligibilityCriteria for Merit
B.C.A.3 Years (6 Semesters)"Pass in (10+2) or equivalent with Maths/ Computer Science/ Computer Applications /Business Maths/ Statistics/ Informatics Practices/Information Technology/Artificial Intelligence

Lateral Entry: Pass in Diploma in Computer Science/ ECE/ Visual Communication/ EEE/ Information Technology/ Computer Technology"

Merit based on the percentage of marks secured in the qualifying examination

Career Prospects

CAREER PROSPECTS

 

  • Software Developer
  • Software Publisher
  • Systems Administrator
  • Chief Information Officer
  • Computer Programmer
  • Computer Support Service Specialist
  • Computer Scientist
  • Computer Systems Analyst
  • Database Administration
  • Information Systems Manager

Alumni Testimonials

Fee Structure

Tuition Fee 2024 - 2025 (Per Sem) Other Fee (Per Sem)
Total Fee 2024 - 2025 (Per Sem)
20,00019,00039,000

Faculty of the Department

Sl. No.
Name of the Faculty
Designation
Educational Qualification
Area of Specialization
Experience in Years
Vidwan IDPhotos
1Dr.Sujatha.PProfessor and HeadM.Sc.,M.Phil, SET, Ph.DImage Processing, Machine Learning, Cloud Coomputing & CNN25 Years233984
2Dr.Kamalakannan.TProfessorM.C.A. M.Phil., SET, Ph.DData Mining25 years 5 months250928
3Dr.Kalpana.YProfessorM.C.A, M.Phil., Ph.DNeural networks, image Processing, cloud computing25 years 6 months250134
4Dr.Rohini.KProfessorMCA., M.Phil.,Ph.DData Anlytics, Parallel processing system, Networking, Internet of Things & Machine Learning17 years 6 months290690
5Dr.Booba.BProfessorMCA, M.Phil,Ph.DGrid Computing, Distributed Computing and Parallel Computing, Networking, Video Processing, Big Data Analytics, Cloud Computing, Data Mining, Internet of Things & Machine Learning25 years 2 months232629
6Dr.Shanthi.CAssociate ProfessorM.C.A. M.Phil., Ph.DMobile Computing18 years 6 months233836
7Dr.Devi RadhakrishnanAssociate ProfessorM.C.A, M.Phil., SET, NET., Ph.DImage Processing , Data Mining & Cloud Computing17 years 6 months232625
8Dr.Kasturi.KAssociate ProfessorM.Sc., MCA.,M.Phil., Ph.DData Mining , Big Data Analytics & Machine Learning17 years 6 months250831
9Dr.Jebathangam.JAssociate ProfessorM.C.A, M.Phil., Ph.DImage Processing & Machine Learning16 years3 months250023
10Dr.Kamalakkannan.SAssociate ProfessorM.Sc., M.Phil., Ph.DData Mining & Big Data19 years 6 months232622
11Dr.Dharmarajan.KAssociate ProfessorM.Sc., M.Phil., Ph.DData Science ML and AI , Big Data and IoT18 years 2 months232572
12Dr.Sharmila.KAssociate ProfessorM.Sc., M.Phil., Ph.DBig Data & Machine Learning14 years 4 months233823
13Dr.Jeyalaksshmi.SAssociate ProfessorMCA, M.Phil, Ph.DImage Processing, Data Mining & Internet of Things20 years 2 months116757
14Dr.Bagavathi Lakshmi.RAssociate ProfessorMCA.,M.Phil., Ph.DData Mining & Internet of Things16 years 2 months472626-
15Dr.Vidhya.AAssistant ProfessorMCA, M.Phil.,Ph.DBig Data Analytics , Machine Learning & Deep Learning19 years 2 months250787
16Dr.Sathya.SAssistant ProfessorM.Sc., M.Phil., Ph.DChemInformatics , Data Mining, machine Learning , IoT,Image Processing15 years 2 months250807
17Dr.Piramu Preethika.SK.Assistant ProfessorMCA, B.Ed.,M.Phil, Ph.DMobile Computing,IoT,data analytics, Sentiment analysis, Machine Learning & Cloud Computing9 Years 11 Months250813
18Ms.Arockiya Selvi.SAssistant ProfessorMCA, M.Phil,(Ph.D)Data Mining & Big Data11 years251505
19Dr.Shalini.RAssistant ProfessorM.Sc., M.Phil., Ph.D.,Data mining,Machine Learning11 years 06 months249935
20Dr.Raghavendran.VAssistant ProfessorMCA., MBA.,M.Phil., Ph.D.,PDFE-commerce Security and AIML& DL, IoT,Big data, Data Mining and Warehousing22 years 6 Months249741
21Dr.Hemamalini.UAssistant ProfessorM.Sc.,M.Phil.,Ph.DSentiment Analysis17 years 6 months315150
22Dr.Divya.VAssistant ProfessorM.Sc, M.Phil, Ph.DNetworks8 years 7 months314873
23Dr.Bharathi.AAssistant ProfessorM.Sc,M.Phil, Ph.DImage Processing, Machine Learning7 years 3 months315143
24Dr.Yogeshwari.MAssistant ProfessorM.Sc,M.Phil,Ph.DImage Processing,Machine Learning7 years 2 months393508
25Dr.Rani.SAssistant ProfessorM.Sc, M.Phil, Ph.DImage Processing, Cloud Computing9 years472508
26Dr..Shyamala Devi.NAssistant ProfessorMCA, M.Phil,Ph.DNatural Language Processing,Text Mining13 years470942
27Dr.Sangeetha RadhakrishnanAssistant ProfessorMCA., Ph.DDistributed Database,Cryptography,Security1 year322257-
28Dr.Ramesh.LAssistant ProfessorM.Sc.,B.Ed.,M.Phil., Ph.DData Mining, Image Processing , Big data, Artificial Intelligence,Machine Learning,6 years 2 months416502-
29Dr.Sakthivanitha.MAssistant ProfessorM.Sc (CS)., M.Phil., Ph.D.,Data Mining, IoT, Network security5 years 6 months474749-
30Dr.Anbarasi.CAssistant ProfessorM.C.A.,M.Phil,Ph.DData Mining18 years 6 months472564-
31Dr.Grace Hannah.JAssistant ProfessorM.Sc(CS)., M.Phil (CS)., Ph.D (CS)Image Processing, Data Mining, Machine Learning7 years 2 months432211-
32Ms.Jayashree.SAssistant ProfessorM.Sc.,M.PhilImage processing & Machine learning2 years1 month472680-
33Dr.Balaji KannanAssistant ProfessorMCA., M.Phil. M.E., MBA,DLL.,Ph.DCloud Computing, Cloud data security, Network security, IOT, Bigdata.13 years474352-