COL7560 Machine Learning For Networked Systems

3 credits (3-0-2)

Pre-requisites: COL334 OR COL672

Traffic Classification, Resource Allocation, Application Performance Estimaton, Security, Synthetic Data Generation, Data Collection, Data Representation, Evaluation, Explainability.

The objectives of the course are twofold: (1). provide an overview of key challenges and opportunities in integrating ML techniques into networking solutions; and (2). Gain hands-on experience by applying the concepts to real-world network datasets and understand the associated practical challenges.