Ramakrishna Mission Vivekananda Educational and Research Institute (RKMVERI)
(Deemed University as declared by Govt. of India under Section 3 of UGC Act, 1956)
(Accredited by NAAC with A++ Grade)
We are pleased to announce that the Department of Computer Science, Ramakrishna Mission Vivekananda Educational and Research Institute, Belur Campus is going to conduct a five-day faculty development program (FDP) sponsored by AICTE whose thrust area would be Artificial Intelligence. The FDP, scheduled for February 1 – February 5, 2021, will be in online mode and the first of its kind conducted by RKMVERI.
The FDP is designed for teachers, researchers, scientists, and tech-enthusiasts seeking to learn and adopt Big Data tools, Machine Learning, and Deep Learning techniques.
The list of topics covered are Data Curation and Visualization, Optimization Techniques, Supervised Machine Learning, Unsupervised Machine Learning, Reinforcement Learning, Deep Learning, Generative Adversarial Learning along with their Applications. The key attraction is Big Data Analytics and Case Studies by Faculty members and Industry personnel from India and abroad.
You can register for the FDP anytime before February 1, 2021.
For registration, please signup. After signup, go to the Workshops tab and select West Bengal and February from State and Month dropdown respectively. Then select the FDP organized by Ramakrishna Mission Vivekananda Educational and Research Institute (Application No: 1583694642)
The objective of this FDP is presented in 4 Introductory Videos as given
To download the Brochure for the FDP, click here.
Prof. Bimal Roy, Head, R C Bose Centre for Cryptology and Security, Indian Statistical Institute (Kolkata)
Dr. Tinku Acharya, Founder and Managing Director, Videonetics
Sumit Misra, Associate Vice President, RS Software (India) Limited
Dr. Pralay Mitra, Associate Professor, Computer Science and Engineering, IIT Kharagpur
Dr. Zhaozeng Yin, Associate Professor, Department of Computer Science, Stony Brook University, NY, USA
Dr. Sriparna Saha, Associate Professor, Department of Computer Science and Engineering, Indian Institute of Technology Patna, India.
For details on Admission to M.Sc. in Computer Science, please click here
For details on Admission to M.Sc. in Big Data Analytics, please click here
1. Ph.D. in either of Computer Science, Engineering, Statistics, Mathematics
2. Two years of Post Doc experience in a premier institution in India or abroad.
3. At least three years of teaching experience in any University offering postgraduate courses
4. Must have experience in teaching the following courses for the post-graduate students:
Last date to apply: 23 August 2019
Tentative dates for the interview: August 2019.
30 March 2019, University Main Campus, Belur Math
Step 1: The delegates must apply through this Google form
Step 2: After carrying out Step 1, the delegates must make an online payment here https://forms.rkmvu.ac.in/product/event-registration-fees/
|Sl No.||Speakers||Institution||Topic (Slides)|
|1.||Dr. Bimal Roy||Indian Statistical Institute||Statistics and Business Analytics|
|2.||Dr. Chandan Mazumder||Jadavapur University|
|3.||Dr. Arindam Pal||TCS Innovation Labs|
|4.||Dr. Sourangshu Bhattacharya||IIT Kharagpur||Machine Learning in Big Data Analytics|
|5.||Dr. Anup Dewanji||Indian Statistical Institute|
|6.||Mr.Sumit Misra||GM, RS Software|
BIG DATA ANALYTICS incorporates strategies for assimilation, management, analysis and interpretation of large datasets. The field lies at the intersection of statistics, mathematics, computer-science and engineering, with a diverse range of applications including health care, finance, business analytics, smart-cities, bio-informatics. In recent years, development of sophisticated `learning’ algorithms coupled with the availability of massive datasets and facilitated by powerful and efficient computing infrastructures, have led to pioneering improvements in several applications.
With UNDERGRADUATES and POSTGRADUATES of Science and Engineering as the target audience, this 2nd WORKSHOP aims at deriving the context for Big Data Analytics in theory and practice. The professionals including academicians, and entrepreneurs will also find this workshop informative, as it brings together leading data scientists from academia and industry to give an overview of the field, highlight the thrust areas of research, and present practical models. GRADUATES and UNDERGRADUATES are urged to make best use this opportunity to increase their awareness in this burgeoning and promising discipline.
|Students undergoing UG or PG degree programme||Rs 200/-.|
|Faculty/corporate professionals||Rs 500/-|
The applicant will be informed about the mode of remitting the delegate fee by email.