Cyber Security and AI!

1. 
   

2. Another Student Rupert has been attended classes within Cyber Security and AI.

3. Learning objectives this week to cover the following :

4. 
   

5. 1. Explain and discuss the concept of the kernel trick. 

2. 2. Explain and discuss the concept of polynomial kernels. 

3. 3. Explain and discuss the concept of the Gaussian RBF Kernel. 

4. 4. Explain and discuss the concept of the SMV Regression. 

5. 5. Design, code, test and evaluate a nonlinear SVM classifier. 

6. 
   

Rupert's Professor mentioned that the topic of support vector machines is an advanced one and very heavy on math, all the students in the class have completed courses COMP 237 “Intro to AI” and Math 210 “Linear algebra", last Semester which are pre-requisites for COMP 247.  

I observed as the class was presented information in the form of using the programme Python, they discussed making changes to the code to produce different algorithms and data sets. They then went on to discuss the dimensions within the code and using plots to create graphs to show the data in a different form – and allow them to compare between plots. The class looked at using equations such as Ax+By+C=0 and how these reappear within code on the python system. I observed as the professor shared her screen to the board to allow visual learning, and Rupert was given the opportunity to view the Python programme.  

The class then looked at using the import feature ‘make_moons’ then looked at the Variable explorer, which created 100 sample points and separated them into two classes to form binary data set – then plotted this data set and formed a data set which visually looked like a moon. They then change the sample points to 1000 and observed how the data set then overlapped.  

This class was at a higher level to what Rupert studies at home, although interesting Rupert was unable to access the programmes, so spent time observing the class today. I observed as Rupert sat within the class and engaged in this setting.  

At the end of the lesson when students were participating in the assessment Rupert took some time to discuss with the professor. We discussed the differences in the courses, and how the assessments work here – she told us that the group focus on a group project as part of their assessments where they use information from the police and use AI to create code. I observed as Rupert discussed with her what he covers and uses in Scotland and how these vary. Rupert asked to view this group assignment – to which the professor said she will email a copy of the assignment to Rupert to view. She then went on to explain that Rupert can download Anaconda and use this at home also to access python. We discussed with the lecturer her time in college and found she actually went to school in Edinburgh.