During this second week, you will add more features to your neural network from last week, and in the process we will discover some more advanced topics of functional programming as well.
These are primary recommendations. You can find equivalent material in other books if you prefer.
The schedule will not be prepared until we see how we fare in the first week. The following is an outline of topics which we plan to cover.
Time  Topic  Reading 

Monday 9 February  
8:1510  Review of last week  
rest of day  Catch up with Tutorials 56  
Tuesday 10 February  
8:1510  Lecture: From perceptron to backpropagation  Marsland Chapter 4 
rest of day  Implementation and testing of backpropagation  
Question and Answer session (TBA)  
Wednesday 11 February  
8.1510  Complete your backpropagation networks  
10.1511  Lecture: Pseudorandom number generators  
10.1513  Implement random initialisation of weights Take a lunch break in some point 

13.1514  Lecture: State Machines and Monads  Thompson Chapter 18 
rest of day  Catch up with exercises  
Thursday 12 February  
8:3010  Lecture: Neural Networks in the Real World  Marsland Chapter 4 
Practical Problems for the Neural Network Discussion Exercises 

Friday 13 February  
8:3010  Lecture: Curse of Dimensionality  Marsland Chapter 6 
Rest of Day  Catch up with previous tutorials  
Optional  Exercises on dimensionality reduction  Marsland Chapter 6 