B.Sc Computer Science
About the Department
The Department of Computer Science was started in the year 2017 affliated to University of Madras to offer B.Sc. Computer Science to empower economically poor students for the digital era. The Department offers a well balanced curriculum consisting of hardware, software and application oriented courses. The syllabus is revised at regular intervals to keep pace with recent advancements in technology. The Department of Computer Science is well equiped with Computers and other Infrastructure. The Department also boast of highly qualified and well experienced teachers. The Department also provides placement assistant to the outgoing student. The passed out students of the department are placed in software companies like TCS, Accenture, HDFC bank, TNQ, ICCS..etc.
Mission of the Department
- Provide the ambience to become industry ready Professionals, Researchers and Entrepreneurs by offering courses on cutting edge technology and advanced laboratory courses for the students especially to the economically poor background students .
- .Impart high quality experiential learning to get expertise in modern software tools and to cater to the real time requirements of the industry.
- Inculcate problem solving and team building skills and promote lifelong learning with a sense of societal and ethical responsibilities.
- Offer continuing education programmes in the emerging areas for the benefit of stakeholders.
Courses Offered
S.No | Name of the Course | Sanctioned Strength |
1. | B.Sc Computer Science | 50 |
Faculty Details
S.No | Name of the Faculty | Designation | Qualification |
1. | Prof. P. Malaiarasu | Associate Profeasor | M.Sc., M.Phil. , PGDCA |
2. | Dr. Hebsibah Paulin | ASSISTANT PROFESSOR | MCA.,MPhil.,Ph.D, UGC-NET |
3. | Dr. J Senthil Kumar | ASSISTANT PROFESSOR | MCA.,MPhil.,Ph.D, |
4. | Dr. S Venkatesh | ASSISTANT PROFESSOR | B.Sc [C.S], M.Sc[I.T], M.Phil[C.S], Ph.D[C.S] |
5. | Ms. K. Arulmozhi | ASSISTANT PROGRAMMER | B.Sc., PGDCA, M.Sc.,(IT) |
Student Enrollment
Batch | Sanctioned Strength | No. of Students Admitted |
2017-2020 | 50 | 26 |
2018-2021 | 50 | 36 |
2019-2022 | 50 | 45 |
2020-2023 | 50 | 45 |
2021-2024 | 50 | 49 |
2022-2025 | 50 | 49 |
Department Association Activity
S.NO | Event Name | Date |
1 | Finding Opportunities in IT World | 20-07-2021 |
2 | Orientation For First Years | 04-10-2021 |
3 | Inauguration of Association Function Association Name : “TechSpark” | 27-04-2022 |
4 | Seminar : “Recent Trends in IT” | 27-04-2022 |
5 | Science Exhibition | 10-03-22 |
6 | Photo Exhibition “Eera Nillam” | 05-01-23 |
7 | Women’s day | 08-03-2023 |
Staff Achievements/Publications
S.No | Staff Name | Publication Name/Achievements |
1. | Dr. Hebsibah Paulin | 1. H. Paulin, R. S. Milton, and S. JanakiRaman,“Efficient Pre Processing of Audio and Video Signal Dataset for Building an Efficient Automatic Speech Recognition System,” International Journal of Pure and Applied Mathematics119, no. 16(2018): 1903–1910 |
2. H. Paulin, R. S. Milton, and S. JanakiRaman,“A Study on Various Speech Recognition System Techniques with Special Reference to Speech Recognition System Using Deep Neural Network,” in International Conference on Computing Science(Chennai, India: Layola College, 2018–19) | ||
3. Hebsibah Paulin, R. S. Milton, S. JanakiRaman, K. Chandraprabha. “Audio–Visual (Multimodal) Speech Recognition System Using Deep Neural Network”, Journal of Testing and Evaluation, 2019, 47(6). 20180505. DOI:10.1520/JTE20180505 4. | ||
2. | Dr. S Venkatesh | M. Jeyakarthic & S. Venkatesh, March 2020, “An Effective Customer Churn Prediction Model using Adaptive Gain with Back Propagation Neural Network in Cloud Computing Environment”, The Journal of Research on the Lepidoptera, ISSN 0022-4324 (print) ISSN 2156-5457 (online), Volume 51 (1): 386-399, DOI: 10.36872/LEPI/V51I1/301034 (Scopus Indexed). |
S. Venkatesh & M. Jeyakarthic, July 2020, “Metaheuristic based Optimal Feature Subset Selection with Gradient Boosting Tree Model for IoT Assisted Customer Churn Prediction”, Journal of Seybold Report, ISSN NO: 1533-9211, VOLUME 15 ISSUE 7 2020, Pages: 334-351 (Scopus Indexed).
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S. Venkatesh & M. Jeyakarthic, December 2020, “Adagrad Optimizer with Elephant Herding Optimization based Hyper Parameter Tuned Bidirectional LSTM for Customer Churn Prediction in IoT Enabled Cloud Environment”, Webology, ISSN NO: 1735-188X, VOLUME 17 Number 2 2020, Pages: 631-651, DOI: 10.14704/WEB/V17I2/WEB17057 (Scopus Indexed).
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S. Venkatesh & M. Jeyakarthic, December 2021 “Artificial Fish Swarm Algorithm based Multilayer Perceptron Model for Customer Churn Prediction in IoT with Cloud Environment”, International Journal of Business Information Systems, ISSN (online) 1746-0980, ISSN (print) 1746-0972, DOI: 10.1504/IJBIS.2021.10044076 Inderscience Publisher, (Scopus Indexed).
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List of International Conferences attended:- S. Venkatesh & M. Jeyakarthic, Feb 2019, “A Review of Customer Churn Prediction Related Issues Using Data Mining”, in the International Conference on Emerging Inventive Technologies in Computer Science took place in Idhaya College for Women, Kumbakonam on 15th Feb 2019, E-ISSN: 2347-2693, Vol.-7, Special Issue,4, Pages: 281-284 S. Venkatesh & M. Jeyakarthic, July 2020, “An Optimal Genetic Algorithm with Support Vector Machine for Cloud Based Customer Churn Prediction”, in the IEEE – International Conference on System, Computation, Automation and Networking (ICSCAN) took place in MVIT, Pondicherry on 3 & 4 July 2020, ISBN : 978-1-7281-6201-0, Pages: 522-527
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