machine learning - national institute of technology · course for the entire duration. ... the...

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Preamble to the FDP ‘‘Electronics & ICT Academy’’ is being set up at NIT Warangal with financial assistance from MeitY, Govt. of India. The jurisdiction of this academy covers Telangana, Andhra Pradesh, Karnataka States and Pudicherry, Andaman & Nicobar Islands and Lakshadweep UTs. This academy role is to offer faculty development programmes in standardized courses and emerging areas of Electronics, Information Communication Technologies; Training & consultancy services for Industry; Curriculum development for Industry; CEP for working professionals; Advice and support for technical incubation and entrepreneurial activities. In recent years, we have witnessed a rapid development on applications of machine learning which has a significant impact on education, research and lifestyle. Machine learning is about designing programs that can learn without being explicitly programmed. It is a branch of Artificial Intelligence in which we learn concepts/patterns/ hypotheses from data by using heuristic based algorithms. This field has become so popular that one can find machine learning applications in virtually all domains ranging from identifying emails as spam or legitimate to automated vehicle guided system to game playing to credit card fraud detection. To support the proliferation of automation and smart devices that are using machine learning, it is necessary to improve the state-of-the-art technologies in machine learning to achieve more accurate predictions. This faculty development programme (FDP) is devoted to fundamental theory, recent REGISTRATION FORM Name :.............................................................. Designation :...................................................... Qualification :.................................................... Experience :...................................(if applicable) Department :...................................................... Address for Communication: ......................................................................... ........................................................................ City :.........................Pin Code :........................ Mobile No. : ..................................................... E-mail :.............................................................. Category of Participant : Academia Industry Participant Accommodation Facility : Yes No The information provided is true to the best of my knowledge. If selected, I agree to abide by the rules and regulations of the FDP and shall attend the course for the entire duration. I also undertake the responsibility to inform the Coordinator in case, I am unable to attend the course. Place : Date : Signature of the Applicant Signature of Head of the Institution (With Seal) developments and research outcomes addressing the related theoretical and practical aspects on machine learning. Broad Topics to be covered in FDP Regression Techniques & Instance based learning Decision tree algorithm & clustering Neural network learning Support Vector machines Bayesian learning Deep Learning Reinforcement learning Principal Component Analysis (PCA) Speakers for this programme The programme will be conducted by the experts from IITs, NITs, other academic organizations and Industries. Eligibility The programme is open to the teachers of engineering colleges, MCA colleges and other allied disciplines. Industry personnel working in the concerned/allied discipline can also attend. Selection Criteria Selection will be done based on first-cum-first - serve basis and the confirmed candidates will be notified immediately. The maximum number of participants will be 50 (fifty). Additionally 10 participants from industry are allowed to participate. The list of selected participants will be notified through personal email ids of the registered participants. In case a candidate is not selected, the demand draft will be sent back. Candidates will

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Preamble to the FDP

‘‘Electronics & ICT Academy’’ is being set up atNIT Warangal with financial assistance fromMeitY, Govt. of India. The jurisdiction of thisacademy covers Telangana, Andhra Pradesh,Karnataka States and Pudicherry, Andaman &Nicobar Islands and Lakshadweep UTs. Thisacademy role is to offer faculty developmentprogrammes in standardized courses and emergingareas of Electronics, Information CommunicationTechnologies; Training & consultancy services forIndustry; Curriculum development for Industry;CEP for working professionals; Advice and supportfor technical incubation and entrepreneurialactivities.

In recent years, we have witnessed a rapiddevelopment on applications of machine learningwhich has a significant impact on education,research and lifestyle. Machine learning is aboutdesigning programs that can learn without beingexplicitly programmed. It is a branch of ArtificialIntelligence in which we learn concepts/patterns/hypotheses from data by using heuristic basedalgorithms. This field has become so popular thatone can find machine learning applications invirtually all domains ranging from identifying emailsas spam or legitimate to automated vehicle guidedsystem to game playing to credit card frauddetection. To support the proliferation of automationand smart devices that are using machine learning,it is necessary to improve the state-of-the-arttechnologies in machine learning to achieve moreaccurate predictions.

This faculty development programme (FDP) isdevoted to fundamental theory, recent

REGISTRATION FORM

Name :..............................................................

Designation :......................................................

Qualification :....................................................

Experience :...................................(if applicable)

Department :......................................................

Address for Communication:

.........................................................................

........................................................................

City :.........................Pin Code :........................

Mobile No. : .....................................................

E-mail :..............................................................

Category of Participant :

Academia Industry Participant

Accommodation Facility :

Yes No

The information provided is true to the best of myknowledge. If selected, I agree to abide by the rulesand regulations of the FDP and shall attend thecourse for the entire duration. I also undertake theresponsibility to inform the Coordinator in case, Iam unable to attend the course.

Place :

Date : Signature of the Applicant

Signature of Head of the Institution (With Seal)

developments and research outcomes addressingthe related theoretical and practical aspects onmachine learning.

Broad Topics to be covered in FDP

Regression Techniques & Instance based learningDecision tree algorithm & clusteringNeural network learningSupport Vector machinesBayesian learningDeep LearningReinforcement learningPrincipal Component Analysis (PCA)

Speakers for this programme

The programme will be conducted by the expertsfrom IITs, NITs, other academic organizations andIndustries.

Eligibility

The programme is open to the teachers ofengineering colleges, MCA colleges and other allieddisciplines. Industry personnel working in theconcerned/allied discipline can also attend.

Selection Criteria

Selection will be done based on first-cum-first -serve basis and the confirmed candidates will benotified immediately. The maximum number ofparticipants will be 50 (fifty). Additionally 10participants from industry are allowed to participate.The list of selected participants will be notifiedthrough personal email ids of the registeredparticipants. In case a candidate is not selected,the demand draft will be sent back. Candidates will

DEPARTMENT OF INFORMATIONSCIENCE AND ENGINEERING

NMAM INSTITUTE OF TECHNOLOGYNitte, Mangalore - 574110

and

E&ICT Academy, NIT WarangalJointly organizes

MeitY, Govt. of India sponsoredFaculty Development Programme on

MACHINE LEARNING

Jan. 23 - 28, 2017(6 days)

Coordinators :Dr. B. Neelima

Professor and Head, Dept. of ISE,NMAM Institute of Technology, Karnataka

Dr. R. B. V. SubramanyamHead, Computer Center,

NIT Warangal, Telangana State

http://nmamit.nitte.edu.in/uploads/fdp-ml

About NMAMIT, Nitte

NMAM Institute of Technology was establishedin 1986. The college is affiliated to the VisvesvarayaTechnological University, Belgaum and isrecognized by the All India Council for technicalEducation, New Delhi. Institute is accredited byNational Assessment & Accreditation Council[NAAC] & all the programs are accredited byNational Board for Accreditation [NBA]. Theinstitution has been granted Academic Autonomyunder the Visvesvaraya Technological Universityfrom 2007-08.

About ISE Department

Started in 1999, the Department of InformationScience & Engineering offers students a bachelor'sdegree program with an intake of 120 presently.The department has well-qualified and dedicatedteaching and non-teaching staff and well-equippedlaboratories to fulfill the academic needs of thestudents. The department is also offering M. Techin Computer Network Engineering from theacademic year 2012.

Organizing committeeMr. Karthik Pai B. H.,Associate Professor, Dept. of ISEMs. Ashwini B.,Associate Professor, Dept. of ISEMr. Vasudeva Pai,Assistant Professor, Dept. of ISEMs. Chinmai Shetty,Assistant Professor, Dept. of ISE

Contact DetailsEmail: [email protected]. No.: +91-9880708327

+91-8762326958

be issued certificates on successful completion ofthe course along with grade.

Important Dates

Last date for Submission : 16-01-2017Selection list Notification : 18-01-2017Duration of FDP : 23-01-2017 to

28-01-2017

Registration:

The participants need to register using theenclosed prescribed application form along with DDfor an amount specified under RegistrationFee. Scanned copy of the filled in applicationform and DD should also be mailed [email protected]. It is also mandatory tosend the hard copy of application form and demanddraft by speed post to reach Dr B Neelima,Coordinator, before the last date.

Registration Fee

o Academic Participants ... Rs. 2600Rs. 2000 to be paid in the form of DD in favourof Director, NIT, Warangal payable at Warangaland Rs. 600 to be paid in cash at the time ofregistration.

o Industry Participants ... Rs. 6600Rs. 6000 to be paid in the form of DD in favourof Director, NIT, Warangal payable at Warangaland RS.600 to be paid in cash at the time ofregistration.

Accommodation and Boarding

Accommodation will be provided in the instituteguest house or hostel on payment basis. A priorrequest has to be made for the same. No TA/DAwill be paid for the participants.

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