This document announces a Faculty Development Program (FDP) on "Data Science and its Applications" to be held from October 5-9, 2020 at the Central University of Tamil Nadu. The FDP aims to provide faculty members, research scholars, and students an understanding of basic data science concepts as well as hands-on experience with machine learning algorithms using Python. Experts from IITs, NITs, and other institutions will speak on introductory topics, advanced methods like deep learning, and case studies. The FDP seeks to help participants choose research problems and pave way for future work in the field.
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Data science and its applications
1. DATA SCIENCE
AND ITS
APPLICATIONS
DEPARTMENT OF COMPUTER SCIENCE
CENTRAL UNIVERSITY OF
TAMIL NADU
SPONSORED BY
AICTE TRAINING AND LEARNING
(ATAL) ACADEMIES
R E G I S T E R A T H T T P S :/ / W W W . A I C T E - I N D I A . O R G / A T A L
5 - 9 , O C T O B E R 2 0 2 0
COORDINATOR: DR. CHANDRA MOULI P.V.S.S.R.
2. ABOUT CUTN
The Central University of Tamil Nadu (CUTN) is located in Thiruvarur, a region
of cultural and historical significance. The university functions with quality
infrastructure facilities in two campuses set in a serene atmosphere in the
Neelakudi and Nagakudi villages in the Cauvery delta region. In spite of the
recent origin, and a humble beginning with a single course and few students,
the University has established itself as an academic centre of excellence in
different streams of education within the last few years, attracting students from
far and wide. The University offers post graduate, integrated M.Sc., M.Phil. and
Doctoral Programmes in various subjects through twelve schools. The
University atmosphere offers a creative and multi-cultural learning environment
for the students with dynamic curricular and extracurricular activities. The
University also opens up space for expert learning through collaboration with
State and National level institutions of academic excellence.
ABOUT DEPARTMENT OF
COMPUER SCIENCE
The department of computer science is one among the science departments
that offer M.Sc., M.Phil. and Ph.D. in computer science. The department was
started in the academic year 2016-17. The department is equipped with five
faculty members with doctorates and they are actively involved in research
besides teaching. The curriculum is designed to meet the standards expected
from the IT industry and also facilitates to aspire research. The department
offers a choice based credit system. The students are evaluated through a
continuous assessment system.
To join the UG, PG and Research programmes, the candidates have to attend
the All India CUCET entrance examination. CUCET stands for Central
University Common Entrance Test. Every year, CUCET is conducted by a
consortium of central universities. CUCET is conducted at over 65 centers
across the country for admission to various programmes.
ABOUT FDP
Data Science and Data Analytics is the buzz word in industry and is driving many
researchers to produce promising solutions to the challenging real world problems.
This field of computer science has been the active locale of research due to its wide
varieties of industrial applications. This programme will facilitate the faculty members,
Ph.D. research scholars and P.G. students in understanding the basic concepts of
Data Science to a wide coverage of advance topics. The FDP also facilitates some
hands on sessions in python to implement Machine Learning algorithms. In addition,
the FDP creates a pavement for faculty members and research scholars to choose
their research problems.
3. RESOURCE PERSONS
EMINENT EXPERTS FROM IITS, NITS, IIITS,
CENTRAL UNIVERSITIES, AND OTHER
REPUTED INSTITUTIONS
CHIEF PATRONS
Prof. G. PADMANABHAN, HONOURABLE CHANCELLOR, CUTN
Prof. R. KARPAGA KUMARAVEL,?HONOURABLE ACTING VICE CHANCELLOR, CUTN
PATRON
Dr. S. BHUVANESWARI, Registrar, CUTN
ADVISORY COMMITTEE
Dr. B. RAMAKRISHNAN, DEAN, SCHOOL OF MATHEMATICS AND COMPUTER
SCIENCES, CUTN
Dr. A. RAGUPATHY, COE, CUTN
Mr. CMA V. PALANI, FINANCE OFFICER, CUTN
ORGANIZING COMMITTEE
Dr. S. APPAVU ALIAS BALAMURUGAN, ASSOCIATE PROFESSOR, DEPT. OF
COMPUTER SCIENCE, CUTN
Dr. P. THIYAGARAJAN, ASSISTANT PROFESSOR, DEPT. OF COMPUTER SCIENCE,
CUTN
Dr. K. NANDHINI,?ASSISTANT PROFESSOR, DEPT. OF COMPUTER SCIENCE, CUTN
Dr. R. SARANYA, ASSISTANT PROFESSOR, DEPT. OF COMPUTER SCIENCE, CUTN
Dr. A. MARTIN, ASSISTANT PROFESSOR, DEPT. OF COMPUTER SCIENCE, CUTN
TARGET AUDIENCE:
FACULTY MEMBERS WORKING IN NITS,
ENGINEERING COLLEGES, UNIVERSITIES, RESEARCH
SCHOLARS, INDUSRTY PERSONNEL, M.TECH.
STUDENTS, M.SC. STUDENTS.
4. TENTATIVE TOPICS COVERED
INTRODUCTION TO DATA SCIENCE
MATHEMATICS FOR DATA SCIENCE
CLASSIFICATION AND DECISION TREES
REGRESSION ALAYSIS
MULTI LAYER PERCEPTRON
SUPPORT VECTOR MACHINE
DIMENSIONALITY REDUCTION
CLUSTERING ALGORITHMS
TEXT ANALYTICS
ENSEMBLE LEARNING
DEEP LEARNING
CASE STUDIES
PYTHON PACKAGES - NUMPY; SCILEARN;
PANDAS - MATPLOTLIB
For further details contact
Dr. CHANDRA MOULI P.V.S.S.R.
ASSOCIATE PROFESSOR AND HEAD
DEPARTMENT OF COMPUTER SCIENCE
CENTRAL UNIVERSITY OF TAMIL NADU, THIRUVARUR
chandramouli@cut.ac.in
Ph: 9865605025