Weapons Systems Evaluation
Course Details
The Aim of the Course
The Benefits of this Training Course
Who Should Study on this Course?
Course Content
Course Length
Number of Students per Course
This course will teach students how to critically assess current and proposed guided weapons systems by equipping them with a broad understanding of the underlying techniques, technologies and fielded systems. On successful completion of the course, trainees will be able to critically evaluate a range of weapon systems and produce a weapon system evaluation report
This course is designed to provide awareness of the main principles of guided weapons technologies. This course will provide students with the required skillset to evaluate weapon system performance in order to fulfil the roles of analyst, test and evaluation or platform protection specialist.
All personnel involved in weapon system estimates, trials, test and evaluation
All modules are indicative and can be adapted.
- Module 1: The Intelligence Cycle and databases
- Module 2: Electronic Support Measures (ESM)
- Module 3: Mission Data Sets (MDS)
- Module 4: De-interleaving techniques
- Module 5: Modular components of modern missile systems
- Module 6: Air weapons: Current and future capability
- Module 7: Surface to air weapons: current and future capability
- Module 8: Application of EW platform protection technology: ESM, EPM and ECM
- Module 9: Produce a Weapon System Evaluation Report
35 days
Up to 10
At a Glance
Domain Area: Advanced Technology Analysis
Course Title: Weapons Systems Evaluation
Course Duration: 35 Days
Student Numbers: Up to 10
In This Section
- ISR/ISTAR Technology
- Space Technology
- Missile Defence
- Radar Systems
- Electro-optical Systems
- Telecommunications, Datalinks and Electronic Warfare Applications
- Weapons Systems Evaluation
- Radar Signal Processing
- Trials Design, Operation, Evaluation and Reporting
- Maths and Technology for Defence
- Statistics
- Advanced Mathematics: Mathematical Modelling for Defence System Analysis
- Advanced Mathematics: Decision Science
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