STTP Brochure newcvrce.edu.in/images/documents/STTP_Brochure_new.pdf( Chairman, CV Raman Group of...
Transcript of STTP Brochure newcvrce.edu.in/images/documents/STTP_Brochure_new.pdf( Chairman, CV Raman Group of...
AICTE Sponsored Short Term Training Program
onTheory & Applications of
Machine Learning and DataAnalytics Technique
16th to 21st December 2019
Organized by:Department of Electronics & Telecommunication Engineering.
C V Raman College of EngineeringBidyanagar, Mahura, Janla-752054, Bhubaneswar
For more details..
Visit us at: https://mldat2k19.wixsite.com/sttp
Selection ProcedureThis STTP is open to faculty members of AICTE
approved engineering and Polytechnic colleges . There
is no registration fee for the participants. Accomodation
will be provided to the participants on request. The no
of participant is Limited to 40 & the selection is based
on first come first serve basis.
1st Autonomous Engineering College in OdishaWithin top 100 Engg. Institutions in India
by NIRF, MHRD Govt of India
Course ContentsClustering IntroductionK. Mean ClusteringHirarchical ClusteringDensity Based ClusteringGrid Based ClusteringNeural Network IntroductionMultilayer perceptronADALINE NetworkLMS AlgorithmBack Propagation AlgorithmFLAAN NetworkRBF NetworkRNN and CNNDeep LearningML Algorithm Implementation Using MatLab & Python
Visit CVRCE at: https://www.cvrce.edu.in/
Resource PersonsLectures will be delivered by eminent faculty from IIT,
NIT and other renowned universities. Experts from
Industries will deliver lectures and conduct hands on
practical sessions.
PatronsShri Sanjib Kumar Rout( Chairman, CV Raman Group of Institutions)Smt. Shailja Rout(Director Finance, CV Raman Group of Institutions)
Advisory CommitteeProf. Bhabes Bhattacharya, Principal, CVRCE
Prof. Ganapati Panda, Advisor R&D, CVRCE
Prof. Prithviraj Kabisatpathy, Dean PGP&CD,CVRCE
ConvenorDr. Priyadarshi Kanungo
Organizing CommitteeDr. Agam Das Goswami Dr. Mausumi BhanjaDr. Manas Raxit Dr. Gautam RanaDr. Abdul Kayum Dr. Smita ParijaDr. Manikant Kumar Dr. Abtar SinghDr. Soumik Podder Dr. Arnab MukhopadhyayMrs. Soumya Mishra Mrs. Tapaswini PattnaikMr. Anoop Kumar Mrs. Seli MohapatraMr. J. D. Pradhan Miss Soma SarkarMr. Tushar Kanti Dash
Important DatesLast Date of Registra�on: 06/12/2019
Contact AddressDr. Priyadarshi Kanungo, Convenor, STTP on TAMLDAT
Mobile:- +91 9437224153, Email: [email protected]
Department of Electronics & Telecommunica�on Engg.
C V Raman College of Engineering, Bhubaneswar
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ABOUT THE PROGRAMMachine learning is a field which gives computers the
ability to learn and make predictions on data. This STTP
is aimed at giving hands-on training to the Faculty
Members and Research Scholars on various aspects of
Machine learning and Data Analytic Techniques. In
recent years, there has been a rapid development on
applications of machine learning which has a significant
impact on education, research, industry and lifestyle.
Machine learning is about designing programs that can
learn without being explicitly programmed. Data
Analytics examines large amounts of data to uncover
hidden patterns, correlations and other insights. Most
industries have recognized the value of machine
learning technology. By gleaning insights from this data,
often in real time, organizations are able to work more
efficiently or gain an advantage over competitors. Some
of the sectors which exhaustively use machine learning
and Data Analytics are Financial services, Government,
Health care, Transportation, Oil and gas, Hospitality, to
name a few. Due to new computing technologies, many
Advancement has taken place in the machine learning
area. It was Originated from Pattern Recognition with
the theory that computers can learn without being
programmed to perform specific tasks, researchers
were curious to observe how computers could self-learn
from data.
CVRCE AT A GLANCEC. V. Raman College of Engineering, Bhubaneswar is a pioneer institute of eastern region, India, setup to impart quality technical education. This institute is approved by the All India Council for Technical Education, and is an autonomous college affiliated to Biju Patnaik University of Technology, Odisha. The institute is also accredited by NBA, rated as grade ‘A’ engineering college by NAAC & ISO 9001-2015 certified. It offers eleven UG programs, eight PG programs and PhD Programs. The State of the Institute is its quality education and student achivement in national as well as international platform.
ABOUT THE DEPARTMENTThe Department of Electronics & Telecommunication Engineering was established in the year 1997 and accredited by NBA & NAAC with grade ‘A’. The department UG in Electronics & Telecommunication Engineering, PG (M.Tech) in Signal Processing & Communication Engineering and P.hD programmes.The ETC branch is cherished with full fledged team of experienced, dynamic, & highly qualified faculty members and supporting staffs for imparting high quality education. The students are acively engaged in academic curriculum as well as Innovative thinking & participating in different competi-tion nationally and internationally. Different funded research projects in the field of Image processing, VLSI Design, Signal Processing, Antenna design, Machine Learning, Sensor & Network, Soft computing, IoT and Embedded Systems are carried out by the faculty member of the department.
AICTE Sponsored Short Term Training Program onTheory & Applications of Machine
Learning and Data Analytics Technique(16th to 21st December 2019)
registration formName: __________________________________
Qualification: _____________________________
Designation:______________________________
Department:______________________________
Institution: _______________________________
Gender: _________________________________
E-Mail: __________________________________
Mobile: __________________________________Accommodation Required: Yes/NoAICTE Approved Institution: Yes/No
Signature of Candidate with date
Sponsership CertificateMr./Ms. ______________________________ is an employee/P.hD scholar of our institution and he/she will be permitted to attend the program in full, if selected.
Director/Principal/HoD with office seal
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