Lecture objectives and content

This course offers a comprehensive, hands-on introduction to network simulation using OMNeT++ and its principal frameworks.

Throughout the semester, students explore the core principles of discrete-event simulation, network modeling, and performance evaluation through regular hands-on exercises and progressively challenging assignments. The emphasis is on understanding how network behavior emerges from simulation models and on interpreting simulation results.

The course builds skills step by step, requires no prior OMNeT++ experience, and places strong emphasis on structured experimentation and critical analysis. It is particularly well suited for students preparing Bachelor’s or Master’s thesesinvolving network simulation and evaluation.

Learning objectives

This course provides hands-on training in network simulation using OMNeT++ and its major frameworks.

Students learn:

• How to design, implement, and evaluate realistic network models through structured experiments and project-based work
• Use OMNeT++ and its major frameworks to construct executable network simulation models
• Configure, run, and automate simulation experiments with varying parameters and scenarios
• Analyze, visualize, and critically interpret simulation results
• Validate simulation models and discuss their assumptions, limitations, and reproducibility

Schedule

Kickoff

• Date: 10.04.2026
• Time: TBA
• Room: MIN-F SemRm 3.3

Final presentation

• Date: July
• Time: TBA
• Room:TBA

 Lecturer

• Dr. Nurefşan Sertbaş Bülbül