The main objective of the project is to familiarize students with basic methods and radiation measurements.
The project includes lab courses with very few lectures

The main objective of the project is to familiarize students with basic radiochemical methods.
The project includes lab courses with introductory lectures.

The specific topics of the course are:

1. Introduction on advanced computational methods for fault diagnostics and prognostics in engineered systems
2. Introduction to soft computing methods
3. Artificial neural networks: theory and applications for real time online monitoring and diagnostics of complex components, plants and processes
4. Genetic algorithms: theory and applications in reliability, availability and maintenance
5. Fuzzy logic systems: theory and applications for fault diagnostics and prognostics​

CONTENTS

• Carrier and Tracers
• Sources of Radionuclides
• Decontamination  
• Protective Techniques
• Radiolabelling
• Radiotracer Applications
• Radioanalytical Methods
• Radiochemical Separation Techniques
• X-Ray Fluorescence Analysis
• Transuranium Elements​