Credit units

80%

20%

B.Tech Theory Assessment (L&T):

	Continuous Assessment/Internal Assessment 40%						End Term Examination 60%
Components (Drop down)	Attendance	Class Test	Assignment	Viav	Group Presentation	Quiz		EE
Linkage of PSDA with Internal Assessment Component, if any				3	3	10
Weightage (%)	5	15	4					60

Lab/ Practical/ Studio Assessment:

Continuous Assessment/Internal Assessment 40%					End Term Examination 60%
Components (Drop down	Performance	Lab Record	Viva	Attendance	Practical	viva
Weightage (%)	15	10	10	5	30	30

Text Reading:

• 
  Advanced Methods in Neural Computing, Philip D. Wasserman, Advanced Methods in Neural Computing 1st John Wiley & Sons, Inc.
  
• 
  Neural Networks and Their Applications 1st Edition by John G. Taylo.
  
• 
  Introduction to The Theory of Neural Computation (Santa Fe Institute Series) 1st Edition by John A. Hertz, Anders S. Krogh, Richard G. Palmer.
  

References:

• 
  A Brief Introduction to Neural Networks DavidKrieseldkriesel.comD.
  
• 
  S.Rajasekaran and G.A.VijayalakshmiPai "Neural Networks, Fuzzy Logic and GeneticAlgorithms" PHI Learning.
  
• 
  Hagan, Demuth, Beale,"Neural Network Design" CENGAGE Learning, India Edition.
  
• 
  Satish Kumar, ―Neural Networks –A classroom approach‖, Second Edition,TMH
  

Additional Reading: NA

Any other Study Material: NA