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Course in Validation and Verification of Nuclear Models

Online 300-hour course in validation and verification of nuclear models. 6 modules with ASME V&V 10 (verification and validation in solid mechanics), ASME V&V 20 (verification and validation in CFD and heat transfer) and DAKOTA. Assigned tutor and open enrolment.

Duration300 h
ModeOnline
Start datesOctober / March
LocationEurope (Madrid)
AwardSEIUM Institute diploma
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Virtual lab · try it before you enrol

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Run a real engineering trade-off from this programme. Move the sliders, watch the model react in real time and beat the challenge.

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Learning outcomes

What you will be able to do

01

Distinguish the concepts of verification, validation and qualification.

02

Apply code verification using manufactured solutions.

03

Carry out solution verification with convergence studies.

04

Quantify uncertainties with DAKOTA or RAVEN.

05

Apply the EMDAP methodology of RG 1.203.

06

Implement software quality assurance requirements according to NQA-1.

07

Prepare a verification and validation plan for a code.

Profile

Who it's for

  • Verification and validation engineer who wishes to specialise in Validation and verification of nuclear models.
  • Nuclear software quality engineer who wishes to specialise in Validation and verification of nuclear models.
  • Uncertainty analyst who wishes to specialise in Validation and verification of nuclear models.
  • Licensing engineer who wishes to specialise in Validation and verification of nuclear models.
  • Calculation code developer who wishes to specialise in Validation and verification of nuclear models.
  • Nuclear quality auditor who wishes to specialise in Validation and verification of nuclear models.
  • Engineering or science graduates seeking to enter the nuclear industry.
Standards & tools

What you'll work with

  • ASME V&V 10 (verification and validation in solid mechanics)
  • ASME V&V 20 (verification and validation in CFD and heat transfer)
  • NRC Regulatory Guide 1.203 (EMDAP)
  • ASME NQA-1 (nuclear quality assurance, incl. software)
  • IEEE 1012 (verification and validation of systems and software)
  • IAEA SSG-2 Rev. 1 (deterministic safety analysis)
  • ISO/IEC/IEEE 12207 (software life cycle)
Syllabus

6 modules · 300 h

  1. 1.1Definitions of verification, validation and qualification
  2. 1.2ASME V&V 10 and V&V 20 standards
  3. 1.3Errors and uncertainties in simulation
  4. 1.4Validation hierarchy
  5. 1.5Nuclear software quality assurance
  6. 1.6NQA-1 requirements for software
  7. 1.7Regulatory guide RG 1.203 (EMDAP)
  8. 1.8Documentation of V&V assessments
  9. 1.9Model maturity: PCMM
  10. 1.10Case study: V&V plan for a code
  1. 2.1Unit and regression testing
  2. 2.2Continuous integration in scientific codes
  3. 2.3Reference analytical solutions
  4. 2.4Method of manufactured solutions
  5. 2.5Observed order of accuracy
  6. 2.6Verification of linear and non-linear solvers
  7. 2.7Comparison between codes
  8. 2.8Version control and traceability
  9. 2.9Static analysis tools
  10. 2.10Laboratory: verification with manufactured solutions
  1. 3.1Spatial and temporal discretisation error
  2. 3.2Richardson extrapolation
  3. 3.3Grid Convergence Index (GCI)
  4. 3.4Iterative convergence error
  5. 3.5Statistical error in Monte Carlo
  6. 3.6Round-off error and precision
  7. 3.7Mesh independence studies
  8. 3.8Error-based mesh adaptation
  9. 3.9Presentation of numerical uncertainties
  10. 3.10Workshop: calculating the GCI in a thermal-hydraulic case
  1. 4.1Aleatory and epistemic uncertainty
  2. 4.2Monte Carlo propagation and Wilks' method
  3. 4.3Latin hypercube sampling
  4. 4.4Global sensitivity analysis: Sobol
  5. 4.5Uncertainty in nuclear data
  6. 4.6BEPU methodology
  7. 4.7CSAU method and its application
  8. 4.8Tools: DAKOTA and SAMPLER
  9. 4.9Metamodels and polynomial chaos
  10. 4.10Practice: uncertainty propagation with Wilks
  1. 5.1ASME V&V 20 validation metric
  2. 5.2Use of validation databases
  3. 5.3Phenomena identification with PIRT
  4. 5.4Scaling assessment
  5. 5.5Safety margins and acceptance criteria
  6. 5.6Regulatory review of analysis codes
  7. 5.7V&V of AI models in nuclear
  8. 5.8V&V of coupled multiphysics codes
  9. 5.9Regulatory cases in the US and Europe
  10. 5.10Case study: review of a BEPU methodology
  1. 6.1Definition of the model and application
  2. 6.2Verification and validation plan
  3. 6.3Code verification
  4. 6.4Solution verification
  5. 6.5Uncertainty quantification
  6. 6.6Comparison with validation data
  7. 6.7Credibility assessment
  8. 6.8V&V report
  9. 6.9Dissertation and presentation
  10. 6.10Final review with the tutor
Methodology, software & labs

How you'll learn

100% online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. No fixed timetables: students progress at their own pace within the intake, making it easy to combine with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is DAKOTA, RAVEN (INL), Python (pytest), Git, MATLAB, in free, academic or evaluation versions. Practical work is based on real procedures: mesh convergence studies, the method of manufactured solutions, and quality audits of scientific software. Assessment is continuous across each module, plus the final integrative project.

Accredited laboratories(EN ISO/IEC 17025) with a rotor test rig, EMC/Lightning pre-compliance, HIL/SIL, vibration/acoustics.
Evidence-oriented Master's Thesis:safety case, test plan, compliance dossier and operating limits.
Industry-mentored:lecturers with experience in training, , eVTOL/UAM and flight test.
Flexible format(hybrid/online), international cohorts and support from SEIUM Career Services.
Ethics and safety:safety-by-design approach, OT cyber, DIH and compliance as pillars.
Capstone project

Build it end to end

Your final project follows the real engineering workflow, step by step, reviewed by your tutor.

Definition of the model and application

Distinguish the concepts of verification, validation and qualification.

Verification and validation plan

Apply code verification using manufactured solutions.

Code verification

Carry out solution verification with convergence studies.

Solution verification

Quantify uncertainties with DAKOTA or RAVEN.

Uncertainty quantification

Apply the EMDAP methodology of RG 1.203.

Career opportunities

Where this takes you

Verification and validation engineerNuclear software quality engineerUncertainty analystLicensing engineerCalculation code developerNuclear quality auditor
Admissions & scholarships

Requirements

  • No previous degree is required.
  • Internet connection and a computer capable of running the programme's software.
  • A sufficient level of Spanish to follow technical standards documentation.

Ready to start?

Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.

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FAQ

Frequently asked questions

The programme totals 300 hours, spread over 3 to 5 months. That is an average of 10 to 15 hours per week, compatible with a full-time job.

You work with DAKOTA, RAVEN (INL), Python (pytest), Git and MATLAB. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.

SEIUM's own diploma upon passing the continuous assessment and the integrative project. It is in-house training, not an official Ministry qualification.

Yes. Modules passed in a course or postgraduate diploma in the same area are recognised towards the advanced programme. Check the recognition policy when you enrol.

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