CourseDefense, Military Engineering & Land Systems Applications open

Course in Ethics in Distributed Intelligence in Swarms

Online 300-hour course in ethics in distributed intelligence in swarms. 6 modules covering Implementing Regulation (EU) 2019/947 (UAS operations), Delegated Regulation (EU) 2019/945 (unmanned aircraft systems) and ROS 2. Assigned tutor and open enrolment.

Duration300 h
ModeOnline
Start datesSet by the faculty
AwardSEIUM Institute certificate

Course in Ethics in Distributed Intelligence in Swarms — studying from Australia

Defence is one of Australia's largest engineering employers, with major programmes in land systems, naval platforms, aircraft and integrated systems managed through the Department of Defence. Land systems engineering supports armoured vehicles, weapons and logistics equipment, often through prime contractors and local industry partners. Industry involvement is strongly encouraged through the Defence industry policy framework. Engineers work on sustainment, capability development, systems integration and safety assurance, typically in Canberra, Adelaide, Melbourne and regional defence precincts.

Fees for Australia: A$1,270 (AUD), with instalments and employer sponsorship available.

Relevant bodies in Australia

  • Department of Defence
  • Defence Science and Technology Group (DSTG)
  • Australian Defence Force (ADF)
  • Standards Australia

Typical roles

  • Defence Systems Engineer
  • Land Systems Engineer
  • Military Engineering Officer
  • Capability Sustainment Engineer

Questions from Australia

How does defence engineering recognition work in Australia?

Defence engineering in Australia is largely run through the Department of Defence and its industry partners, which set their own security clearance and qualification requirements. Engineers Australia is the professional body for accreditation. SEIUM's private qualifications are not accredited by these bodies, so recognition is for employers or the relevant body to decide.

Which Australian employers hire in defence and land systems?

Australia has defence prime contractors, the Department of Defence, and specialist land systems firms. Many of these roles require Australian security clearances, which depend on citizenship and background checks rather than course completion. Ask employers how they weigh private qualifications against experience and clearance requirements.

Is the course manageable with a job, and does it need a visa?

The programmes are 100% online and taught in English, so you can study from Australia without a student visa. Specialist courses take 300 hours, diplomas 800 and master's 1,900. An assigned technical tutor supports you, fees are payable in instalments, and employer sponsorship may be possible.

Virtual lab · try it before you enrol

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Learning outcomes

What you will be able to do

01

Explain the principles of collective intelligence in swarms.

02

Analyse the predictability of emergent behaviours.

03

Apply verification techniques to multi-agent systems.

04

Define models of human control over swarms.

05

Examine the legal and ethical framework for autonomous swarms.

06

Identify responsible civil applications of swarms.

07

Design a swarm with ethical and technical safeguards.

Profile

Who it's for

  • Multi-agent systems engineer wishing to specialise in Ethics in Distributed Intelligence in Swarms.
  • Swarm robotics researcher wishing to specialise in Ethics in Distributed Intelligence in Swarms.
  • Verification engineer for autonomous systems wishing to specialise in Ethics in Distributed Intelligence in Swarms.
  • UAS operator wishing to specialise in Ethics in Distributed Intelligence in Swarms.
  • Aviation safety analyst wishing to specialise in Ethics in Distributed Intelligence in Swarms.
  • Robotics ethics adviser wishing to specialise in Ethics in Distributed Intelligence in Swarms.
  • Graduates in engineering or sciences seeking to enter robotics.
Standards & tools

What you'll work with

  • Implementing Regulation (EU) 2019/947 (UAS operations)
  • Delegated Regulation (EU) 2019/945 (unmanned aircraft systems)
  • Implementing Regulation (EU) 2021/664 (U-space)
  • Guiding Principles of the CCW GGE on Lethal Autonomous Weapons Systems (2019)
  • Additional Protocol I, Art. 36 (review of new weapons)
  • IEEE 7001 (transparency of autonomous systems)
Syllabus

6 modules · 300 h

  1. 1.1Swarm intelligence: biological principles
  2. 1.2Algorithms: Boids, PSO and ant colonies
  3. 1.3Distributed control and consensus
  4. 1.4Local communication and stigmergy
  5. 1.5Emergent behaviour
  6. 1.6Robustness and scalability
  7. 1.7Civil drone swarms: shows and agriculture
  8. 1.8Swarms in search and rescue
  9. 1.9Swarm programmes in defence
  10. 1.10Laboratory: swarm simulation with Boids
  1. 2.1Emergence versus predictability
  2. 2.2Formal verification of collective behaviours
  3. 2.3Large-scale simulation and its limits
  4. 2.4Cascading failures in swarms
  5. 2.5Swarm testing in real environments
  6. 2.6Behaviour upon loss of communications
  7. 2.7Attacks on swarm coordination
  8. 2.8Collective performance metrics
  9. 2.9Certification of multi-agent systems
  10. 2.10Practice: sensitivity analysis of a consensus algorithm
  1. 3.1Supervision of many agents by one operator
  2. 3.2Swarm-level command interfaces
  3. 3.3Operator situational awareness
  4. 3.4Goal-based control versus direct control
  5. 3.5Interruption and withdrawal of the swarm
  6. 3.6Cognitive load and automation bias
  7. 3.7Scaling autonomy by mission
  8. 3.8Meaningful human control in collective systems
  9. 3.9Operator training
  10. 3.10Workshop: designing an interface to supervise a swarm
  1. 4.1Swarms and the principle of distinction
  2. 4.2Proportionality with cumulative effects
  3. 4.3Swarms as a possible weapon of mass effect
  4. 4.4Debate at the Convention on Certain Conventional Weapons
  5. 4.5Responsibility gap in collective systems
  6. 4.6Proliferation and low cost
  7. 4.7Risks to civilian public safety
  8. 4.8Use of swarms in surveillance and privacy
  9. 4.9Escalation and strategic stability
  10. 4.10Case study: legal analysis of a reconnaissance swarm
  1. 5.1Swarms in emergencies and disasters
  2. 5.2Distributed environmental monitoring
  3. 5.3Precision agriculture with swarms
  4. 5.4Regulation (EU) 2019/947 and multiple operations
  5. 5.5U-space airspace management
  6. 5.6Third-party safety on the ground
  7. 5.7Impact on wildlife and noise
  8. 5.8Social acceptance
  9. 5.9Transfer of civil research to defence
  10. 5.10Practice: swarm operation plan for a forest fire
  1. 6.1Defining the swarm mission
  2. 6.2Designing the collective algorithm
  3. 6.3Verification and testing plan
  4. 6.4Human control design
  5. 6.5Legal analysis
  6. 6.6Risk assessment of misuse
  7. 6.7Social acceptance analysis
  8. 6.8Final ethical assessment
  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. No fixed timetables: 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 ROS 2, Gazebo, ArduPilot SITL, Python (Mesa, multi-agent simulation), in free, academic or evaluation versions. Tests are studied on real multi-agent swarm simulation procedures, test flights in controlled environments and formal verification of emergent behaviours. Assessment is continuous per module plus the final integrative project.

Accreditable 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 operational 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, cyber-OT, 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.

Defining the swarm mission

Explain the principles of collective intelligence in swarms.

Designing the collective algorithm

Analyse the predictability of emergent behaviours.

Verification and testing plan

Apply verification techniques to multi-agent systems.

Human control design

Define models of human control over swarms.

Legal analysis

Examine the legal and ethical framework for autonomous swarms.

Career opportunities

Where this takes you

Multi-agent systems engineerSwarm robotics researcherAutonomous systems verification engineerUAS OperatorAviation safety analystRobotics ethics adviser
Admissions & scholarships

Requirements

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

Ready to start?

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

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.

The course works with ROS 2, Gazebo, ArduPilot SITL, Python (Mesa, multi-agent simulation). Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.

A SEIUM 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 credited towards the advanced programme. Check the credit transfer policy when you enrol.

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