|Lecture hours per week||2|
|Lab hours per week||2|
This course covers artificial neural networks and their practical applications in data science. Coursework emphasizes fundamental models and algorithms starting with Perceptron model, Multi-Layer Perceptron (MLP) networks, forward and backpropagation algorithms, and activation functions. Students will gain hands-on experience by building multilayer models and using artificial neural networks for various classification/prediction problems.