CourseDefense, Military Engineering & Land Systems Applications open

Course in Ethics in Swarm Algorithms

Online 300-hour course in ethics in swarm algorithms. 6 modules covering IEEE 7001-2021 (transparency of autonomous systems), IEEE 7000-2021 and ARGoS. Assigned tutor and open enrolment.

Duration300 h
ModeOnline
Start datesSet by the faculty
AwardSEIUM Institute certificate

Course in Ethics in Swarm Algorithms — studying from South Africa

South Africa has a established defence industry centred on companies such as Denel and Paramount Group, with capabilities in land systems, armoured vehicles and munitions. The sector supports engineering roles in systems integration, vehicle design and test and evaluation. Defence procurement and export controls are overseen by government bodies, and the industry works closely with the South African National Defence Force. Engineers in this field typically combine mechanical, electrical and systems skills.

Fees for South Africa: R 14 900 (South African rand), with instalments and employer sponsorship available.

Relevant bodies in South Africa

  • Department of Defence (South Africa)
  • National Conventional Arms Control Committee (NCACC)
  • South African Bureau of Standards (SABS)

Typical roles

  • Defence Systems Engineer
  • Land Systems Engineer
  • Systems Integration Engineer
  • Test and Evaluation Engineer

Questions from South Africa

Which South African bodies regulate or recognise defence and military engineering professionals?

Engineers in South Africa are registered through ECSA under the Engineering Profession Act, and defence programmes are guided by institutions such as the South African National Defence Force and Armscor, which set their own requirements. SEIUM is a private online institute, and its qualifications are not state degrees or accredited by a national body. Recognition is decided by these bodies and your employer, so confirm with them first.

Would this qualification help me find work in South Africa's defence or land systems sector?

South Africa has a defence industry with state-linked entities and private contractors, and employers usually require security clearances, relevant experience and recognised qualifications. A private online programme may support your application but does not guarantee employment or clearance. Check requirements with prospective employers, as roles in this sector can be sensitive and tightly controlled.

Can I study alongside a job, and are there funding options?

The course is 100% online and taught in English, so you need strong English, and no student visa is needed to study from home. Master's programmes are 1,900 hours, postgraduate diplomas 800 hours and specialist courses 300 hours, each with an assigned technical tutor. Fees are payable in instalments, and employer sponsorship is possible, so ask whether your employer would fund part of the training.

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Learning outcomes

What you will be able to do

01

Explain the principles of swarm intelligence.

02

Identify the specific ethical issues of swarm systems.

03

Analyse the applicable legal and governance framework.

04

Evaluate the verifiability and predictability of emergent behaviour.

05

Apply ethical design according to IEEE 7000.

06

Propose protective uses such as search and rescue or environmental monitoring.

07

Prepare an ethical assessment of a swarm system.

Profile

Who it's for

  • Swarm robotics researcher who wants to specialise in Ethics in Swarm Algorithms.
  • Multi-agent systems engineer who wants to specialise in Ethics in Swarm Algorithms.
  • Technology ethics advisor who wants to specialise in Ethics in Swarm Algorithms.
  • AI policy analyst who wants to specialise in Ethics in Swarm Algorithms.
  • Verification engineer for autonomous systems who wants to specialise in Ethics in Swarm Algorithms.
  • University lecturer in robotics who wants to specialise in Ethics in Swarm Algorithms.
  • Engineering or science graduates seeking to join universities and research centres.
Standards & tools

What you'll work with

  • IEEE 7001-2021 (transparency of autonomous systems)
  • IEEE 7000-2021
  • Guiding Principles of the GGE of the CCW (2019)
  • Additional Protocol I (1977), Article 36
  • UNESCO Recommendation on the Ethics of AI (2021)
  • ISO/IEC 22989
  • Regulation (EU) 2024/1689 (AI Act)
Syllabus

6 modules · 300 h

  1. 1.1Biological origins: ants, bees and flocks
  2. 1.2Reynolds' rules: separation, alignment and cohesion
  3. 1.3Emergent behaviour and decentralisation
  4. 1.4Distributed consensus algorithms
  5. 1.5Particle swarm optimisation
  6. 1.6Swarm robotics: academic research
  7. 1.7Scalability and robustness of swarms
  8. 1.8Civil applications: search, agriculture and entertainment
  9. 1.9Defence programmes with drone swarms
  10. 1.10Case study: simulation of flocking rules
  1. 2.1Unpredictability of emergent behaviour
  2. 2.2Human control over hundreds of agents
  3. 2.3One operator facing multiple vehicles
  4. 2.4Attribution of responsibility in distributed systems
  5. 2.5Escalation and saturation effect
  6. 2.6Risk of proliferation due to low cost
  7. 2.7Use by non-state actors
  8. 2.8Distinction and precaution with multiple agents
  9. 2.9Debate on weapons of mass destruction and swarms
  10. 2.10Workshop: ethical risk map of a swarm
  1. 3.1International humanitarian law applied to swarms
  2. 3.2Review of new weapons under Article 36
  3. 3.3CCW Group of Experts on autonomous systems
  4. 3.4UN General Assembly resolutions
  5. 3.5NATO principles for the responsible use of AI
  6. 3.6Political declaration on the responsible military use of AI
  7. 3.7Export control of swarm technology
  8. 3.8Regulation of civil drones in the EU
  9. 3.9Treaty proposals and national positions
  10. 3.10Practice: comparative analysis of national positions
  1. 4.1Formal verification of multi-agent systems
  2. 4.2Large-scale simulation and Monte Carlo
  3. 4.3Metrics for behavioural predictability
  4. 4.4Geographical and temporal operating limits
  5. 4.5Interruption and deactivation mechanisms
  6. 4.6Communication and link degradation
  7. 4.7Cybersecurity of swarms
  8. 4.8Explainability of collective decisions
  9. 4.9Trials and operational evaluation
  10. 4.10Laboratory: verification of safety properties of a swarm
  1. 5.1Value-sensitive design in multi-agent systems
  2. 5.2Swarm supervision interfaces
  3. 5.3Search and rescue uses
  4. 5.4Swarms for fire detection and emergencies
  5. 5.5Swarms for disaster response
  6. 5.6University research and dual use
  7. 5.7Ethics committees and responsible publication
  8. 5.8Public participation and social dialogue
  9. 5.9Codes of conduct for researchers
  10. 5.10Case study: ethical opinion on a rescue swarm project
  1. 6.1Selection of the swarm system
  2. 6.2Technical description and concept of use
  3. 6.3Identification of stakeholders
  4. 6.4Applicable legal analysis
  5. 6.5Assessment of emerging risks
  6. 6.6Control measures and human oversight
  7. 6.7Governance recommendations
  8. 6.8Monitoring plan
  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 intake, which makes it possible to combine the programme with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is ARGoS, ROS 2, NetLogo, Python (Mesa), in free, academic or evaluation versions. Trials are studied using real emergent-behaviour simulation procedures, an ethical assessment workshop and analysis of civil use cases. Assessment is continuous by module plus the final integrative project.

Accredited laboratories(EN ISO/IEC 17025) with rotor test rig, EMC/Lightning pre-compliance, HIL/SIL, vibration/acoustics.
Evidence-oriented thesis: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, with ciber-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 swarm system

Explain the principles of swarm intelligence.

Technical description and concept of use

Identify the specific ethical issues of swarm systems.

Identification of stakeholders

Analyse the applicable legal and governance framework.

Applicable legal analysis

Evaluate the verifiability and predictability of emergent behaviour.

Assessment of emerging risks

Apply ethical design according to IEEE 7000.

Career opportunities

Where this takes you

Swarm robotics researcherMulti-agent systems engineerTechnology ethics advisorAI policy analystVerification engineer for autonomous systemsUniversity lecturer in robotics
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 regulatory texts.

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 totals 300 hours, spread over 3 to 5 months. That is between 10 and 15 hours per week on average, compatible with a full-time job.

The programme uses ARGoS, ROS 2, NetLogo, Python (Mesa). Free, academic or evaluation versions are used, and the tutor indicates the open-source alternative where one exists.

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

Yes. Modules passed in a course or postgraduate diploma in the same area can be credited towards the advanced programme. Check the credit transfer policy when you enrol.

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