Network Analytics and Data-Driven Engineering

Education facts

Code: EP272V

This project course introduces students to data-driven engineering of networks and cloud systems. Using methods from statistical learning, students will develop and evaluate, for instance, models for prediction and forecasting of Key Performance Indicators (KPIs) and for anomaly detection. The models will be fitted and evaluated using testbed measurements or traces from operational systems. The functions built from these models are designed for real-time execution. To develop the models, tools and packages from data science will be used, e.g., Jupyter notebook, scikit-learn, TensorFlow. The course is structured as two consecutive project blocks. Each block starts with introductory lectures that give background and discuss concepts for the specific project, followed by project execution, writing of a report, and interview.

Entry requirements

The published source does not provide entry requirements.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Network Analytics and Data-Driven Engineering

  KTH Royal Institute of Technology

  KTH Campus

  Start date: 26 October 2026

  End date: 11 January 2027

  Pace of study: 50 %