J N T U H COLLEGE OF ENGINEERING

KUKATPALLY HYDERABAD-500072 (Telangana State)

	Faculty Development Programme (FDP)
            On
              Machine Learning
	   Organized by
Department of Computer Science and Engineering
      Under COE TEQIP-II 
    (11th April 2016– 16th April 2016)

ABOUT THE UNIVERSITY
Jawaharlal Technological University Hyderabad (JNTUH), a premier institute of technical education in India is providing quality education and promoting research for nearly 4 decades. The institute’s environment of academic excellence led to the grant of Grade ‘A’by NAAC (National Assessment and Accreditation Council). 
ABOUT THE COLLEGE
JNTUH College of Engineering Hyderabad (JNTUH CEH) is a constituent college of JNTUH located at Kukatpally, The college has 12 departments offering various undergraduate and post graduate programmes. Besides academic programmes, the college is involved in  extensive research activities and industrial consultancy services striving for excellence in all respects.
ABOUT THE DEPARTMENT
 The Department of Computer Science & Engineering started in 1984.The Department has qualified staff and well equipped laboratories, and offers both undergraduate and post graduate programmes. Besides regular undergraduate and post graduate programmes, the department offers integrated and integrated dual degree programmes in collaboration with Blekinge Institute of Technology, Sweden and Asian Institute of Technology, Bangkok.
The department strives hard to nurture the young students into qualified and competent engineers prepared to accept the new challenges in the Industry.  
Preamble:

Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that we probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI.. Its applications can  also be found in the area of natural language processing, medical imaging, forecasting and prediction etc.. Due to the advent of new technologies, new algorithms are proposed which include complex mathematical operations on big data. The existing models are trained to adapt to new data from time to time independently.

This faculty development programme (FDP provides a broad introduction to machine learning, alsoprovides the knowledge of  how to apply learning algorithms to build smart robots (perception, control),Speech Recognition, text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas.
Major Course Contents:

•	Regression Techniques &Instance based learning 
•	Decision tree algorithms & clustering
•	Neural Network learning 
•	Support vector machines 

•	Bayesian learning 
•	Deep learning 

•	Reinforcement learning 
•	Principal Component Analysis (PCA) 

•	Applying machine learning algorithms on large data sets 

Speakers:

The programme will be conducted by the faculty members from JNTUH HYDERABAD. Experts from IITs/NITs/IIITs are  expected to deliver the lectures as part of the course.

Eligibility: The programme is open to the teachers of Engineering Colleges, MCA colleges and other allied disciplines and also Research Scholars in Telangana, Andhra Pradesh and other states from India. Industry personnel working in the concerned/allied discipline can also attend.
Registration Fee Particulars:
Faculty members (Rs 500/- Only) and

Research scholars (Rs 500/-Only)
The participants need to send a crossed demand draft(DD) drawn in favour of “COORDINATOR FDP CSE DEPT” and payable at  Andhra Bank, JNTUH Campus branch, Hyderabad.

How to apply:

A filled in form of application in the prescribed format duly signed and sponsored by appropriate authorities (along with demand draft) should reach the coordinator by speed-post. It is also mandatory to send scanned application form and demand draft through e-mail to prof.neeraja@jntuh.ac.in as selection will be intimated only through mail.
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). The list of selected participants will be notified in the institute web site www.jntuhceh.ac.in and also will be sent to their personal e-mail ids. A test will be conducted at the end of the course. Candidates will be issued certificates on successful completion of the course along with grade. Accommodation for the participants will be provided on concessional fee payment basis.

Important dates:
Last date for submission of application: 19/03/2016

Selection-list intimation/display before: 22/03/2016

Duration of Program: 11th April 2016– 16th April  2016.
Coordinators:
Dr. V. Kamakshi Prasad, Professor
 Ms. K. Neeraja, Assistant Professor
Department of Computer science & Engineering
JNTUH College of Engineering, Hyderabad, Telangana State-500085

FORMAT OF APPLICATION

Faculty Development Programme
on
Machine Learning
(11th April 2016– 16th April 2016)

1.	Name  : 

2.	Designation : 

3.	Institution : 

4.	email: 

5. DD No:	Bank:	Date:

6.	Address for Correspondence 

7.	Educational Qualifications with specialization: 

8.	Subjects taught so far: 

9.	No. of refresher courses/workshops attended: 

10.	Experience (in years) Teaching : Research: 
Industry: 

Declaration

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

SPONSORSHIP CERTIFICATE

Dr/Mr/Ms.  …………………………………….

………………………………………………is

an  employee  of  our  Institute/Organization  and  is hereby  sponsored  to  participate  in  the  FDP  on Machine Learning   during 11th April 2016- 16th April 2016, conducted by Dept., of Computer Science & Engineering, JNTUH College of Engineering, Hyderabad, under COE, TEQIP-II.

Place:

Date:	

	
		Signature of Head of Institution

(with seal)

Address for correspondence

Post your application form with DD to
Ms.K.Neeraja, Assistant Professor,
Dept., of Computer Science & Engineering, 
JNTUH College of Engineering
Hyderabad, Telangana State, India-500085.

Mail the scanned copies of filled-in and duly signed application form with DD to
prof.neeraja@jntuh.ac.in.
For more information visit :http://jntuhceh.ac.in

Co-ordinators:
Dr. V. Kamakshi Prasad, Professor  & Head of the Department.
Ms. K. Neeraja, Assistant Professor
Department of Computer science & Engineering
JNTUH College of Engineering,
Hyderabad, Telangana State-500085