Credit units

Pedagogy for Course Delivery:

The class will be taught using remote teaching methodology. Students’ learning and assessment will be on the basis of four quadrants and flipped class method. E-content will be also provided to the students for better learning. In addition to assigning the problems, the course instructor will spend considerable time in understanding the concept of innovation through the eyes of the industry. The instructor will cover the ways to think innovatively liberally using thinking techniques.

List of Professional Skill Development Activities (PSDA):

1. 
   Minor project
   
2. 
   Group presentation
   
3. 
   Quiz
   

Lab/ Practical’s details, if applicable:


List of Experiments:

1. 
   Implementation of Simple Neural Network.
   
2. 
   Implementation of Perceptron Learning Algorithm
   
3. 
   Implementation of Unsupervised Learning Algorithm
   
4. 
   Implementation of Simple Genetic Application
   
5. 
   Neural Network for Classification problem
   
6. 
   Neural Network for regression problem
   
7. 
   Implementation of Deep L-layer neural network
   
8. 
   Study of Derivative-free Optimization
   
9. 
   Implementation of Forward Propagation in a Deep Network.
   
10. 
    Implementation of Backward Propagation in a Deep Network
    
11. 
    Neural Computers for Motor Control.
    

Assessment/ Examination Scheme:

Theory L/T (%)	Lab/Practical/Studio (%)