Network Analytics and Data-Driven Engineering

Utbildningsfakta

Kod: 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.

Behörighet

Behörighetsuppgift saknas i den publicerade källan.

Utbildningstillfällen

Varje tillfälle har egna datum och villkor. Avslutade tillfällen behålls som historik och innebär inte att en ny ansökan är öppen.

• Network Analytics and Data-Driven Engineering

  KTH Royal Institute of Technology

  KTH Campus

  Startdatum: 26 oktober 2026

  Slutdatum: 11 januari 2027

  Studietakt: 50 %