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Course on SAE/ISO Standards for Autonomous Software

Online course of 300 h on SAE/ISO standards for autonomous software. 6 modules covering ISO 26262 (functional safety for road vehicles), ISO 21448 (SOTIF) and CARLA. Assigned tutor and open enrolment.

Duration300 h
ModeOnline
Start datesSet by the faculty
AwardSEIUM Institute certificate
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Learning outcomes

What you will be able to do

01

Describe the regulatory framework for autonomous systems software.

02

Apply ISO 26262 requirements to software development.

03

Analyse the safety of the intended functionality and its triggering scenarios.

04

Evaluate the challenges of machine learning in the control loop.

05

Plan verification and validation through simulation and testing.

06

Interpret the homologation requirements for automated driving systems.

07

Draft a safety plan for autonomous software.

Profile

Who it's for

  • Autonomous driving software engineer who wants to specialise in SAE/ISO standards for autonomous software.
  • Functional safety engineer who wants to specialise in SAE/ISO standards for autonomous software.
  • Verification and validation engineer who wants to specialise in SAE/ISO standards for autonomous software.
  • SOTIF specialist who wants to specialise in SAE/ISO standards for autonomous software.
  • Embedded machine learning engineer who wants to specialise in SAE/ISO standards for autonomous software.
  • Homologation manager for autonomous systems who wants to specialise in SAE/ISO standards for autonomous software.
  • Graduates in engineering or sciences seeking to enter the automotive sector.
Standards & tools

What you'll work with

  • ISO 26262 (functional safety for road vehicles)
  • ISO 21448 (SOTIF)
  • SAE J3016 (levels of driving automation)
  • UL 4600 (safety of autonomous products)
  • ISO/PAS 8800 (AI in road vehicles)
  • ISO 34502 (scenarios for automated driving systems)
  • ISO/SAE 21434 (cybersecurity in vehicles)
Syllabus

6 modules · 300 h

  1. 1.1What distinguishes an autonomous system from an automated one
  2. 1.2Levels of driving automation
  3. 1.3Relevant standard families and how they are allocated
  4. 1.4Functional safety versus safety of the intended functionality
  5. 1.5Cybersecurity as a concurrent requirement
  6. 1.6Validation and homologation frameworks
  7. 1.7Actors: manufacturer, supplier and authority
  8. 1.8Sector vocabulary and acronyms
  9. 1.9Normative sources and their updates
  10. 1.10Exercise: regulatory map of an autonomous system
  1. 2.1Safety lifecycle and its phases
  2. 2.2Hazard analysis and risk assessment
  3. 2.3Safety goals and their allocation
  4. 2.4Integrity levels and associated requirements
  5. 2.5Architecture, partitioning and safety mechanisms
  6. 2.6Coding requirements and restricted language
  7. 2.7Verification by review, analysis and testing
  8. 2.8Structural coverage and its justification
  9. 2.9Configuration and change management
  10. 2.10Practice: assigning and justifying an integrity level
  1. 3.1Non-fault risks: design limitations
  2. 3.2Triggering scenarios and their identification
  3. 3.3Sensor and perception limitations
  4. 3.4Foreseeable misuse by the person
  5. 3.5Definition of the operational design domain
  6. 3.6Acceptability argument for residual risk
  7. 3.7Statistical validation and equivalent kilometres
  8. 3.8Perception performance metrics
  9. 3.9Continuous improvement with field data
  10. 3.10Practice: defining the operational design domain of a system
  1. 4.1Learning-related problems for certification
  2. 4.2Traceability of requirements to a trained model
  3. 4.3Dataset management and documentation
  4. 4.4Model validation and edge cases
  5. 4.5Robustness to disturbances and domain shifts
  6. 4.6Required explainability and its limits
  7. 4.7Safety monitors and supervisor architectures
  8. 4.8Model updates and recertification
  9. 4.9Emerging standards for artificial intelligence
  10. 4.10Practice: designing a safety monitor
  1. 5.1Scenario-based validation strategy
  2. 5.2Simulation, test bench and closed track
  3. 5.3Public road testing and its authorisations
  4. 5.4Scenario catalogues and their coverage
  5. 5.5Fault injection and robustness testing
  6. 5.6Evidence traceability and compliance matrix
  7. 5.7Data recorder and incident analysis
  8. 5.8Process audit by the authority
  9. 5.9Post-deployment surveillance
  10. 5.10Practice: scenario-based validation plan
  1. 6.1Choice of system and its function
  2. 6.2Definition of the operational design domain
  3. 6.3Hazard and non-fault risk analysis
  4. 6.4Safety requirements and architecture
  5. 6.5Verification and validation strategy
  6. 6.6Data and model management plan
  7. 6.7Regulatory compliance matrix
  8. 6.8Post-deployment surveillance plan
  9. 6.9Technical report
  10. 6.10Project defence
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 timetable: students progress at their own pace within the intake, which makes it possible to combine study with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is CARLA, MATLAB/Simulink, dSPACE, Polyspace, VectorCAST, in free, academic or evaluation versions. Tests are studied through real procedures of scenario-based simulation, software-in-the-loop testing and static code analysis. Assessment is continuous, module by module, plus the final integrative project.

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

Build it end to end

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

Choice of system and its function

Describe the regulatory framework for autonomous systems software.

Definition of the operational design domain

Apply ISO 26262 requirements to software development.

Hazard and non-fault risk analysis

Analyse the safety of the intended functionality and its triggering scenarios.

Safety requirements and architecture

Evaluate the challenges of machine learning in the control loop.

Verification and validation strategy

Plan verification and validation through simulation and testing.

Career opportunities

Where this takes you

Autonomous driving software engineerFunctional safety engineerVerification and validation engineerSOTIF specialistEmbedded machine learning engineerHomologation manager for autonomous systems
Admissions & scholarships

Requirements

  • No prior degree is required.
  • Internet connection and a computer capable of running the programme's software.
  • 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 comprises 300 hours in total, spread over 3 to 5 months. That is between 10 and 15 hours per week on average, compatible with a full-time job.

You will work with CARLA, MATLAB/Simulink, dSPACE, Polyspace, VectorCAST. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.

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

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

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