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Contacts

411 University St, Seattle, USA

engitech@oceanthemes.net

+1 -800-456-478-23


About the Department

                Department of Computer Applications was started in the year 2018 with 21 Students.  Primary objective is to equip students with the knowledge and skills necessary to develop, implement, and maintain computer applications. The course offered by the department covers wide range of topics such as programming fundamentals, web development, software engineering, user interface design and data management. Our students may find employment in industries such as technology, finance,  e-commerce, telecommunications.

Mission of the Department

  • The mission of the Computer Applications Department is to produce graduates who are capable of using computer applications to solve problems and improve the world around them.
  • Keeping students up-to-date with the latest developments in computer applications and technologies, and incorporating them into the curriculum.

Courses Offered

S.No

Name of the Course

Sanctioned Strength

1

B.C.A

30

 

Faculty Details

S.No

Name of the Faculty

Designation

Qualification

1

Mr. A. Rabeek Ansari

Assistant Professor & HoD

M.C.A., M.Phil., SET

2

Dr. R. Karthikeyan

Guest Lecturer

M.C.A.,Ph.D

3

Dr. S. Prakashkumar

Guest Lecturer

M.A.,M.C.A.,M.Phil.,Ph.D

4

Mrs. Annallakkshmi

Guest Lecturer

M.Sc., M.Phil., NET., SET

Student Enrollment

Batch

Sanctioned Strength

No. of Students Admitted

2018-19

30

21

2019-20

30

27

2020-21

30

23

2021-22

30

25

2022-23

30

30

Department Association  Activity

S.NO

Event Name

Date

1

Webinar on Finding Opportunities in IT World

20.07.2021

2

Seminar on “Recent Trends in IT”

27.04.2022

3

Drawing Exhibition on “Awareness on Natural Disaster and Corana Pandemic”

05.01.2023

Staff Achievements/Publications

S.No

Staff Name

Publication Name/Achievements

1

Mr. S. Govindarajan

A Survey on Identification of Paddy Crop Disease Using Multiple Classification and Prediction Techniques in Machine Learning and Deep Learning Approaches.