CSC303-Intrusion Detection and Prevention System

Google Classroom link for this class:https://classroom.google.com/c/MzA4MDA5NzkzMDU0?cjc=wp4qzao

Course Description:

This course introduces computational learning paradigm for critical & implementable understanding for supervised and unsupervised learning based problem areas.

Students are Expected to learn and develop Comprehensive Understanding of the of the following Concepts and Techniques:

1. To introduce the ideas of learning rule and implement them based on human experience.

2. To conceptualize the working of human brain using SVM, RF and ANN.

3. To become familiar with decision boundaries that can learn from available examples and generalize to form appropriate learning rules for inference systems.

4. To provide the mathematical background for SVM, RF and Neural Network based classification techniques.

5. To understand and demonstrate how to solve patterns learning from a large series of data using computer based learning algorithms