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CourseRegulation, Safety, RAMS & Homologation Applications open

ISO 21448 (SOTIF) Course: Safety of the Intended Functionality

Online 300 h course in ISO 21448 (SOTIF): safety of the intended functionality. 6 modules covering ISO 21448 (SOTIF), ISO 26262 (functional safety) 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

Explain the fundamentals of SOTIF and its relationship with ISO 26262.

02

Specify functions and analyse specification insufficiencies.

03

Identify triggering conditions in perception systems.

04

Define known and unknown test scenarios.

05

Apply simulation-based verification and validation strategies.

06

Establish acceptance criteria for system release.

07

Carry out a SOTIF analysis of an automated function.

Profile

Who it's for

  • SOTIF engineer who wants to specialise in ISO 21448 (SOTIF): safety of the intended functionality.
  • ADAS validation engineer who wants to specialise in ISO 21448 (SOTIF): safety of the intended functionality.
  • Perception engineer who wants to specialise in ISO 21448 (SOTIF): safety of the intended functionality.
  • Test scenario engineer who wants to specialise in ISO 21448 (SOTIF): safety of the intended functionality.
  • Automated driving safety manager who wants to specialise in ISO 21448 (SOTIF): safety of the intended functionality.
  • Simulation engineer who wants to specialise in ISO 21448 (SOTIF): safety of the intended functionality.
  • Graduates in engineering or sciences seeking to enter the automotive industry.
Standards & tools

What you'll work with

  • ISO 21448 (SOTIF)
  • ISO 26262 (functional safety)
  • ISO 34502 (scenario-based safety evaluation)
  • UL 4600 (safety of autonomous products)
  • ASAM OpenSCENARIO
  • UN Regulation No. 157 (ALKS)
  • ISO/PAS 8800 (AI in vehicles)
Syllabus

6 modules · 300 h

  1. 1.1Functional insufficiencies versus faults
  2. 1.2ISO 21448:2022 and its scope
  3. 1.3Relationship with ISO 26262
  4. 1.4Reasonably foreseeable misuse
  5. 1.5Scenario areas: known/unknown, safe/hazardous
  6. 1.6Limitations of sensors and algorithms
  7. 1.7Triggering conditions
  8. 1.8SAE J3016 levels of automation
  9. 1.9Regulatory framework: UNECE R157 and Regulation (EU) 2022/1426
  10. 1.10Case study: insufficiencies of a lane-keeping system
  1. 2.1Functional specification and ODD
  2. 2.2ODD taxonomy: PAS 1883
  3. 2.3SOTIF hazard identification
  4. 2.4Risk assessment and acceptance criteria
  5. 2.5Triggering condition analysis
  6. 2.6STPA applied to SOTIF
  7. 2.7Misuse analysis
  8. 2.8Functional modifications to reduce risk
  9. 2.9ODD restriction
  10. 2.10Workshop: identifying triggering conditions of a camera
  1. 3.1Limitations of camera, radar and lidar
  2. 3.2Sensor fusion and uncertainty
  3. 3.3Neural networks and corner cases
  4. 3.4Scenario databases
  5. 3.5Logical and concrete scenarios: OpenSCENARIO
  6. 3.6Generation of critical scenarios
  7. 3.7Criticality metrics: TTC and THW
  8. 3.8Scenario coverage
  9. 3.9ISO 34502 test scenarios
  10. 3.10Practice: defining scenarios in OpenSCENARIO
  1. 4.1SOTIF V&V strategy
  2. 4.2Simulation and virtual testing
  3. 4.3Track and road testing
  4. 4.4Validation targets and mileage
  5. 4.5Statistical validation methods
  6. 4.6Exploration of unknown scenarios
  7. 4.7HIL and SIL testing of perception
  8. 4.8Noise injection and sensor degradation
  9. 4.9Residual risk assessment
  10. 4.10Laboratory: simulation campaign for an AEB
  1. 5.1SOTIF release argument
  2. 5.2Acceptance criteria and residual risk
  3. 5.3Field monitoring
  4. 5.4Fleet data collection
  5. 5.5Update management
  6. 5.6UL 4600 and autonomous safety cases
  7. 5.7ISO/PAS 8800 on AI in vehicles
  8. 5.8Lessons from ADAS incidents
  9. 5.9Liability and user communication
  10. 5.10Case study: release decision for an L2+ function
  1. 6.1Selection of the automated function
  2. 6.2Specification and ODD
  3. 6.3Hazard analysis
  4. 6.4Triggering conditions
  5. 6.5Improvement measures
  6. 6.6Verification and validation strategy
  7. 6.7Residual risk assessment
  8. 6.8Release argument
  9. 6.9Report 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. There are no fixed timetables: students progress at their own pace within the enrolment period, which makes it possible to combine the course with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is CARLA, IPG CarMaker, esmini, MATLAB Automated Driving Toolbox, in free, academic or evaluation versions. Tests are studied through real procedures of scenario-based simulation, perception track testing and triggering condition analysis. Assessment is continuous, module by module, plus the final integrating project.

Accreditable laboratories(EN ISO/IEC 17025) with rotor test rig, EMC/Lightning pre-compliance, HIL/SIL, vibration/acoustics.
Evidence-oriented final project:safety case, test plan, compliance dossier and operational limits.
Industry mentoring: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, cyber-OT, DIH and compliance as its pillars.
Capstone project

Build it end to end

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

Selection of the automated function

Explain the fundamentals of SOTIF and its relationship with ISO 26262.

Specification and ODD

Specify functions and analyse specification insufficiencies.

Hazard analysis

Identify triggering conditions in perception systems.

Triggering conditions

Define known and unknown test scenarios.

Improvement measures

Apply simulation-based verification and validation strategies.

Career opportunities

Where this takes you

SOTIF EngineerADAS Validation EngineerPerception EngineerTest Scenario EngineerAutomated Driving Safety ManagerSimulation Engineer
Admissions & scholarships

Requirements

  • No prior degree is required.
  • Internet connection and a computer capable of running the programme's software.
  • Sufficient Spanish to follow technical regulatory texts.

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 consists of 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, IPG CarMaker, esmini, MATLAB Automated Driving Toolbox. 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 integrating 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 credited towards the advanced programme. Check the credit transfer policy when you enrol.

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