ABOUT THE COURSEThe P.G. program in Information Technology is designed to provide step-by-step basic and advanced technical knowledge along with hands-on experience useful in computer industry. The course develops computer professionals, with strong fundamental knowledge, understanding of recent development tools used in computer industry, and also creates foundation for future research. A course in Information Technology imparts up-to-date software knowledge and skills and produces well qualified software engineers in the areas of Information Technology who can bring about qualitative difference in this field.Any student who has passed any degree with Mathematics as an allied subject can take up the course. The curriculum is designed in such a way that they are taught from the fundamental concepts and proceed towards upcoming trends and latest technological tools used in the field of Information Technology. In addition to that, this course lays a strong foundation for software development and testing in the form of the fourth semester Industrial project work. The main aim of this course is to
Gain and explore theoretical and
analytical competences for scientific work. Acquire skills for developing
advanced products and systems in the area of industrial
information and communication technology. Be able to handle system-oriented
analytical methods and tools.
ELIGIBILITYCandidates for admission to the first year course of M.Sc.(Information Technology) need to possess B.Sc. degree with Mathematics as an allied subject.
DURATION OF THE COURSE:
2 Years.
ACADEMIC PROGRESSIONStudents acquire in-depth technical knowledge and practical programming skills in all disciplines of Information Technology and Computer Science Engineering. Project development and ability to understand and solve industrial problems are other areas of research. Overall topper prize is bagged by the student who has the highest percentage in the department, during her period of study. M.Sc.(IT) students undergo 4-6 weeks internship during the summer vacation of the first year and submit a report in the beginning of the third semester. The report will be evaluated in third semester and the marks are forwarded to the university along with third semester internal assessment marks. This helps the students to meet the industrial demands and face the needs of industries. They also undergo soft skill courses like ‘Language and Communication’, Spoken and Presentation Skills that paves a way for good communication which is a very important needed skill in IT industries.
CAREER PROGRESSIONAfter successful completion of their course, the students of M.Sc(IT) can pursue their higher studies in research or they can endeavor for job opportunities. They are well-equipped to work as professionals in the fields of software development, design and implementation.
22nd July 2010 / A.1/VPK/24/New Courses/2010-11/390 dated 17 June 2010.
The Post Graduate Department of Information Technology was started in the year 2010. This program offers courses which are designed for those who wish to obtain broad-based and leading-edge skills in Information Technology. The aim is to make its graduates better prepared for more challenging career paths.
The Department of Computer Science has proposed to start M.Sc. (IT) programme in 2010, to create computer professionals with the strong foundation and advanced development skill required as per emerging trends in computer science and future needs of the society.
| YEAR/SEMESTER | CATEGORY | TITLE OF PAPER | CREDITS |
|---|---|---|---|
| I Year / I Semester | - | C++ and Data Structures | 4 | - | - | Computer Architecture | 4 | - | - | Database Management Systems | 4 |
| - | - | Elective-I Visual Programming or | 4 |
| - | - | Elective-I E-Commerce or | 4 |
| - | - | Elective-I Programming in C | 4 |
| - | - | Practical-I Data Structure Lab. Using C++ | 2 |
| - | - | Practical-II RDBMS Lab. | 2 |
| - | - | Soft Skill -1 | 2 |
| I Year – II Semester | - | Operating Systems | 4 |
| - | Part II | Programming in Java | 4 |
| - | - | Elective-II Software Engineering or | 3 |
| - | - | Elective-II Data warehousing and Data Mining or | 3 |
| - | - | Elective-II Software Testing | 3 |
| - | - | Elective-III Internet Technology or | 3 |
| - | - | Elective-III Multimedia Systems or | 3 |
| - | - | Elective-III Windows Programming | 3 |
| - | - | Practical-III Java Programming Lab | 2 |
| - | - | Practical-IV Internet Technology Lab or | 2 |
| - | - | Practical-IV Multimedia Systems or | 2 |
| - | - | Practical-IV Windows Programming | 2 |
| - | - | Soft Skill -2 | 2 |
| II Year - III Semester | - | Computer Networks | 4 |
| - | - | Design and Analysis of Algorithms | 4 |
| - | - | Advanced Java Programming | 4 |
| - | - | Extra Disciplinary – Information Security | 4 |
| - | - | Elective-IV Mobile Computing or | 3 |
| - | - | Elective-IV Artificial Intelligence or | 3 |
| - | - | Elective-IV Computer Graphics | 3 |
| - | - | Practical – V: Advanced Java Lab | 2 |
| - | - | Internship | 2 |
| - | - | Soft Skill -3 | 2 |
| - | - | Soft Skill -4 | 2 |
| II Year - IV Semester | - | Project & Viva-Voce | 3 |
Qualification: M.C.A., M.Phil., SET, Ph.D.
Designation: Associate Professor & Head
Area of Interest: Data Mining
Qualification: M.C.A. M.Phil., NET, (Ph.D).
Designation: Assistant Professor
Area of Interest: Computer Networks, Machine Learning & DBMS
Qualification: M.C.A. Ph.D
Designation: Assistant Professo
Area of Interest: Data Mining, Image Processing
Qualification: M.Sc., M.Phil.,(Ph.D)
Designation: Assistant Professor
Area of Interest: Cloud
Computing
Qualification: M.Sc., M.Phil., (Ph.D)
Designation: Assistant Professor
Area of Interest: Advanced Artificial intelligence
Qualification: M.Sc., B.Ed., M.Phil.
Designation: Assistant Professor
Area of Interest: Data Mining
Qualification: MSc., M.Phil.,
Designation: Assistant Professor
Area of Interest: Pattern Recognition
Qualification: M.C.A
Designation: Assistant Professor
Area of Interest: Web Technology
The Department of Computer Science has conducted several programmes like seminars and career counselling for the final year students on latest trends in Information Technology by eminent personalities from various reputed organizations like NASSCOM , CSC etc. The department also encourages the students to participate in various activities and competitions conducted by other institutions.
V.Savithri
21.Feb.
2010 - National - Boundary detection using Dual Dynamic
Programming - Gandhigram rural University -
978-81-8424-574-5.
3.Mar.2010
- National - Visible surface detection on vital carotid
artery - Jeppaiar Engineering College -
978-81-8424-274-4.
21.Jun.2010
- International - Two quasi parallel programming
procedure for boundary detection in u.s. artery images -
SRM University, Kattangaulathur - 978-81-8424-595-0.
7.jan.2011
- International-IEEE Conference - Segmentation of B-Mode
and M-Mode images - Navrang University, Mumbai -
IEEE-Catalog No. CFP 1197F-PRT, ISBN 978-1-4244-9241-1.
S.Meenakshi
2.Mar.2012
- National - Concept and role of Data warehousing and
Data mining techniques in E-Governance - Bhaktavatsalam
Memorial College for women - 978-93-81430-42-2.
.
21.Dec.2012
- International - E-Governance:E-Democratization in
India through E-Voting
- M.O.P. Vaishnav College for women - 978-81-906851-4-6
.
K.Radha
2.Mar.2012
- National - Grid Computing - Bhaktavatsalam Memorial
College for women - 978-93-81430-42-2.
.
V.Savithri
3 Jan. 2012
- International - Prediction of IMT using ANN - AVIT
- 978-78-4525-424-0
Ms. Bijee lakshman
December-2013 - Retinal Image Analysis Using
Morphological Process and Clustering Technique - SIPIJ -
2229-3922.
S. Meenakshi
March 1-2,
2013
- International - Service Oriented Grid Computing For
Effective E-Governance -Bhaktavatsalam Memorial College
for Women, Chennai - 978-93-81430-95-8
.
V. Savithri
March 1-2,
2013
- International - KDDP WITH ARTIFICIAL INTELLIGENCE
-Bhaktavatsalam Memorial College for Women, Chennai -
978-93-81430-95-8
.
K. Radha
March 1-2,
2013
- International - Network Security And Cryptography
-Bhaktavatsalam Memorial College for Women, Chennai -
978-93-81430-95-8
.
Ms. Bijee Lakshman
March 2014
- Identification of Retinal image features using
bit-plane separation and Mathematical Morphology - IEEE
Computer Society, CPS - doi:10.1109/WCCCT.2014.44.
Ms. Bijee Lakshman
June 2015 -
Review of Automatic Detection and Grading of Diabetic
Maculopathy - Research India Publications - 0973-4562.
Nov 2015 -
Detecting the optic disc boundary and macula region in
digital fundus images using bit-plane slicing, edge
direction and wavelet transform - ARPN Journal of
Engineering - 1819-6608.
Ms. J.Sujatha
2017 -
Performance Evaluation of Machine Learning Algorithms in
the Classification of Parkinson Diesease Using Voice
Attibutes - International Journal of Applied Engineering
Research, Volume 12, Issue 21, 10669-10675 - ISSN:
0973-4562.
Jan 2018 -
Classification of Parkinson Disease with the Voice
Attributes Using Fuzzy Inference System - International
Journal of Pure and Applied Mathematics, Volume 118,
Issue 9, 253-257 - ISSN: 1311-8080.
Ms. Bijee Lakshman
Nov. 2018 -
Detection of Pathology in Macula by Localization of
Objects like Holes/Exudates in Macula - Journal of
Advanced Research in Dynamical and Control Systems -
ISSN: 1943-023X.
Volume: 10,Issue 14:Special Issue 1114-1120
2019 -
Software testing - Charulatha Publications.
Bijee Lakshman
2007 -
National Conference - Data Encryption -Stella Maris
College, Chennai.
Bijee Lakshman
M2013 -
International Conference - Elucidation of Optic Disc and
Exudates in the retina for identification of diabetic
retinopathy - Bhaktavatsalam Memorial College for Women,
Chennai.
Bijee Lakshman
2014 -
International Conference - Identification of Retinal
image features using bit-plane separation and
Mathematical Morphology - St.Joseph’s College, Trichy.
J.Sujatha
2017 -
International Conference - A survey on Identification of
Neurological diseases with the handwritten characters -
The World Academy of Research in Science and
Engineering.
2017 -
National Conference - Attributes in predicting Parkinson
Disease with Voice Acoustics - The World Academy of
Research in Science and Engineering.
2017 -
International Conference - Handwritten Image Analysis To
Identify Parkinson Disease Using Fuzzy C-Means, GLCM And
ANFIS Classification - Sathyabama University.
| S.NO. | Author | Month & Year of Publication | Title | Name of the publication | ISSN |
|---|---|---|---|---|---|
| 1. | Ms. Bijee lakshman | December-2013 | Retinal Image Analysis Using Morphological Process and Clustering Technique | SIPIJ | 2229-3922 |
| 2. | Ms. Bijee Lakshman | March 2014 | Identification of Retinal image features using bit-plane separation and Mathematical Morphology | IEEE Computer Society, CPS | doi:10.1109 /WCCCT.2014.44 |
| 3. | Ms. Bijee Lakshman | June 2015 | Review of Automatic Detection and Grading of Diabetic Maculopathy | Research India Publications | 0973-4562 |
| 4. | Ms. Bijee Lakshman | Nov 2015 | Detecting the optic disc boundary and macula region in digital fundus images using bit-plane slicing, edge direction and wavelet transform. | ARPN Journal of Engineering | 1819-6608 |
| 5. | Ms. J.Sujatha | 2017 | Performance Evaluation of Machine Learning Algorithms in the Classification of Parkinson Diesease Using Voice Attibutes. | International Journal of Applied Engineering Research, Volume 12, Issue 21, 10669-10675 | ISSN: 0973-4562 |
| 6. | Ms. J.Sujatha | Jan 2018 | Classification of Parkinson Disease with the Voice Attributes Using Fuzzy Inference System | International Journal of Pure and Applied Mathematics, Volume 118, Issue 9, 253-257 | ISSN: 1311-8080 |
| 7. | Dr. Bijee Lakshman | Nov. 2018 | Detection of Pathology in Macula by Localization of Objects like Holes/Exudates in Macula | Journal of Advanced Research in Dynamical and Control Systems Volume: 10,Issue 14:Special Issue 1114-1120 | ISSN: 1943-023X |
| 8. | Dr. Bijee Lakshman | 2019 | Software testing | Charulatha Publications | - |
| 9. | V.Savithri | Apr. 2010 | Quality segmentation technique on Carotid artery | IJST, INDIA | 0974-6846 |
| 10. | V.Savithri | May. 2010 | Edge detection of carotid artery image | IJST, INDIA | 0973-3817 |
| 11. | V.Savithri | Aug. 2010 | IEEM Programming Procedure for detecting boundary of carotid artery | IJCSIS,USA | 1947-5500 |
| 12. | V.Savithri | Sep. 2010 | A Novel segmentation technique on Carotid artery image IF-1.187 | IJCSIS,USA | 2156-5570 |
| 13. | V.Savithri | Jan. 2011 | segmentation of B-Mode and M-Mode images | IEEE_ICCMS, Singapore | CFP1197F-PRT |
| 14. | V.Savithri | Sep. 2011 | Neuro fuzzy segmentation of Carotid artery | IJRRCS, UK | 2079-2557 |
| 15. | V.Savithri | Oct. 2011 | Elasticity detection of IMT of Carotid artery | IJCOT, INDIA | 2231-2803 |
| 16. | V.Savithri | Mar. 2012 | Segmentation of Medical Imaging, IF: 0.652 | CIIT(IIT), INDIA | 2244-3291 |
| 17. | V.Savithri | Jan. 2013 | Detection of Intima-Media thickness in B-Mode using segmentation methods | Springer(Aceepted, to be published springer online) | - |
| S.NO. | Name Of The Staff | Month & Year | Geographic Level | Title | Institution |
|---|---|---|---|---|---|
| 1. | Bijee lakshman | May – 2, 2012 | National Workshop | Neural Networks & Data Mining | S.A.Engineering College, Chennai |
| 2. | Bijee lakshman | Sep – 5,6, 2012 | National Workshop | Journal Writing | Jaya Engineering College, Chennai |
| 3. | Bijee lakshman | Feb 15 -16, 2013 | National Workshop | Research Methodology and Statistical Tools | Bhaktavatsalam Memorial College for Women |
| 4. | Bijee lakshman | FEB 2014 | National Workshop | Artificial Neural network | University of Madras, Chennai. |
| 5. | Bijee lakshman | 22-Feb-13 | National Workshop | SPSS/MATLAB | Bhaktavatsalam Memorial College for Women |
| 6. | P.Sudha | Feb 2014 | National Workshop | SPSS | Bhaktavatsalam Memorial College for Women |
| 7. | J.Sujatha | Feb 2014 | National Workshop | SPSS | Bhaktavatsalam Memorial College for Women |
| 8. | J.Sujatha | May 2014 | National Workshop | Design and Analysis of Algorithms | Loyola College |
| 9. | J.Sujatha | Jan 2016 | State Workshop | Matlab and Its applications | DRBCC Hindu College |
| 10. | Bijee lakshman | Feb 2016 | National Workshop | Intellectual Property Rights Awareness E & IT Sector | Bhaktavatsalam Memorial College for Womem |
| 11. | P.Sudha | Feb 2016 | National Workshop | Intellectual Property Rights Awareness E & IT Sector | Bhaktavatsalam Memorial College for Womem |
| 12. | J.Sujatha | Feb 2016 | National Workshop | Intellectual Property Rights Awareness E & IT Sector | Bhaktavatsalam Memorial College for Womem |
| 13. | S.Meenakshi | Feb 15 -16, 2013 | National Workshop | Research Methodology and Statistical Tools | Bhaktavatsalam Memorial College for Womem |
| 14. | K.Radha | Feb 15 -16, 2013 | National Workshop | Research Methodology and Statistical Tools | Bhaktavatsalam Memorial College for Womem |
| 15. | V.Savithri | Feb 15 -16, 2013 | National Workshop | Research Methodology and Statistical Tools | Bhaktavatsalam Memorial College for Womem |
Qualification: BCA
Designation: Lab Instructor
Area of Interest: Technical
Department Activities for the year 2020-2021
EVENT NAME: CONNEXIONS
‘2K20 DEPARTMENT NAME : UG
Computer Science, Information Systems & Management
and PG Information TechnologyAn Intra-Department activity for students, jointly organized by the departments of UG Computer Science, Information Systems & Management and PG Information Technology was conducted through online from 15th of May 2020 to 18th of May 2020. Various events like online quiz, e-poster, Just a minute were some of the highlights in the activity during the lockdown.
EVENT NAME:
International Webinar DEPARTMENT NAME : B.Sc
COMPUTER SCIENCE & M.Sc IT DATE (DD/MM/YYYY) : 21
/05/2020 NAME OF THE CHIEF GUEST
: Mr. Arumugam Palanivel.,B.E. KPIT Technologies,
Team Lead, ADAS, Germany TOPIC : “Evaluation and
applications of Deep Learning Concepts” NO. OF BENEFICIARIES :
181Academic proficiency prizes are awarded to students who top the subject papers, in each semester. Over all topper prize is bagged by the student who has the highest percentage in the department, during her period of study.List of Overall Toppers
Batch: 2010-2012
Batch: 2011-2013
Batch: 2012-2014
Batch: 2013-2015
Batch: 2014-2016
Batch: 2015-2017
Batch: 2016-2018
Batch: 2017-2019
The Department is proud to have produced University Rank holders.
Rank: II
Batch: 2010-2012
Rank: X
Batch: 2010-2012
Rank: VII
Batch: 2011-2013
Rank: III
Batch: 2013-2015
Rank: III
Batch: 2014-2016
Rank: III
Batch: 2015-2017
Rank: VI
Batch: 2016-2018
Rank: VI
Batch: 2016-2018
Rank: VII
Batch: 2016-2018
About the Course