Robotic & Microcontroller Educational Knowledgepage - Network of Excellence - en:safeav:curriculum

Abbreviation

Anonymous (anonymous@undisclosed.example.com) — 2025-11-04T15:09:25+00:00

Abbreviation Abbreviation Meaning AI Artificial Intelligence AI/ML Artificial Intelligence / Machine Learning ADAS Advanced Driver Assistance Systems AV Autonomous Vehicle AVSC Autonomous Vehicle Safety Consortium ASIL Automotive Safety Integrity Level

Module: Autonomous Vehicles

Anonymous (anonymous@undisclosed.example.com) — 2025-11-05T08:56:22+00:00

Module: Autonomous Vehicles Study level Bachelor ECTS credits 1 ECTS Study forms Hybrid or fully online Module aims The aim of the module is to introduce the fundamental concepts, architectures and application domains of autonomous vehicles across ground, aerial and marine systems. The course develops students’ system-level understanding of the autonomy stack from perception and localisation to planning and control, highlighting the role of AI, safety and basic verification consideration…

Module: Autonomous Vehicles

Anonymous (anonymous@undisclosed.example.com) — 2025-09-24T12:57:55+00:00

Module: Autonomous Vehicles Study level Bachelor ECTS credits 1

Module: Hardware and Sensing Technologies

Anonymous (anonymous@undisclosed.example.com) — 2025-09-24T12:31:45+00:00

Module: Hardware and Sensing Technologies Study level Bachelor 1 ECTS credits

Module: Autonomy Validation Tools

Anonymous (anonymous@undisclosed.example.com) — 2025-11-05T09:21:12+00:00

Module: Autonomy Validation Tools Study level Master ECTS credits 1 ECTS Study forms Hybrid or fully online Module aims The aim of the course is to introduce the principles, methods and tools used for verification and validation of autonomous and other safety-critical cyber-physical systems. The course develops students’ ability to design, implement and critically assess physical, virtual and hybrid validation workflows in line with relevant industrial practices and standards, preparing …

Module: Control, Planning, and Decision-Making (Part 1)

Anonymous (anonymous@undisclosed.example.com) — 2025-11-05T09:07:20+00:00

Module: Control, Planning, and Decision-Making (Part 1) Study level Bachelor ECTS credits 1 ECTS Study forms Hybrid or fully online Module aims The aim of the module is to introduce control and planning methods for autonomous systems. The course develops students’ ability to design and analyse feedback control, motion planning and decision-making algorithms that generate safe and reliable vehicle behaviour in dynamic environments, using both classical and modern AI-based approaches.

Module: Control, Planning, and Decision-Making (Part 2)

Anonymous (anonymous@undisclosed.example.com) — 2025-11-05T09:19:22+00:00

Module: Control, Planning, and Decision-Making (Part 2) Study level Master ECTS credits 1 ECTS Study forms Hybrid or fully online Module aims The aim of the module is to introduce validation and verification methods for control, planning and decision-making in autonomous systems. The course develops students’ ability to design, execute and interpret simulation-based and formal testing workflows that assess safety, robustness and standards compliance of autonomy controllers.

SafeAV Overview

Anonymous (anonymous@undisclosed.example.com) — 2025-09-24T16:22:36+00:00

SafeAV Overview SafeAV project delivers comprehensive Safe Autonomous Vehicles learning and teaching materials for various stakeholders and use cases. SafeAV contents have been organised into modules and are available in various forms: * classical stationery for in-person meetings and presentations,

Module: Human Machine communication (Part 1)

Anonymous (anonymous@undisclosed.example.com) — 2025-11-05T09:09:00+00:00

Module: Human Machine communication (Part 1) Study level Bachelor ECTS credits 1 ECTS Study forms Hybrid or fully online Module aims The aim of the module is to introduce human–machine interaction and communication concepts for autonomous vehicles. The course develops students’ understanding of how autonomous systems perceive, interpret and communicate with humans using AI-driven, multimodal and human-centred interfaces that support safety, trust and usability.

Module: Human Machine communication (Part 2)

Anonymous (anonymous@undisclosed.example.com) — 2025-11-04T15:44:10+00:00

Module: Human Machine communication (Part 2) Study level Master ECTS credits 1 ECTS Study forms Hybrid or fully online Module aims The aim of the module is to introduce safety, validation and societal aspects of human–machine interaction in autonomous systems. The course develops students’ ability to design and evaluate human-centred, explainable and standards-compliant HMI solutions that support usability, trust and safety.

Module: Hardware and Sensing Technologies (Part 1)

Anonymous (anonymous@undisclosed.example.com) — 2025-11-05T08:57:44+00:00

Module: Hardware and Sensing Technologies (Part 1) Study level Bachelor ECTS credits 1 ECTS Study forms Hybrid or fully online Module aims The aim of the module is to provide a practical foundation in sensing hardware, embedded communication and navigation/positioning for autonomous systems. The course develops students’ ability to design, integrate and validate multi-sensor and actuator setups on embedded platforms, taking into account interface compatibility, timing, power and electrom…

Module: Hardware and Sensing Technologies (Part 2)

Anonymous (anonymous@undisclosed.example.com) — 2025-11-05T09:12:16+00:00

Module: Hardware and Sensing Technologies (Part 2) Study level Master ECTS credits 1 ECTS Study forms Hybrid or fully online Module aims The aim of the module is to introduce hardware governance, electromagnetic compatibility and sensor validation for cyber-physical and autonomous systems. The course develops students’ ability to apply regulatory frameworks, compliance testing and calibration practices to ensure reliable, safe and market-ready platforms across the product lifecycle.

Introduction

Anonymous (anonymous@undisclosed.example.com) — 2025-11-17T08:31:49+00:00

Introduction The document presents a structured and adaptable curriculum for Bachelor and Master level studies in Safe Autonomous Vehicles (SafeAV), with a strong focus on Verification and Validation (V&V) of autonomous systems. The framework serves as a foundation that higher education institutions can adapt and expand when designing their own study modules or programmes related to the safety, reliability, and governance of autonomous technologies.

Module: Perception, Mapping, and Localization (Part 1)

Anonymous (anonymous@undisclosed.example.com) — 2025-11-05T09:05:48+00:00

Module: Perception, Mapping, and Localization (Part 1) Study level Bachelor ECTS credits 1 ECTS Study forms Hybrid or fully online Module aims The aim of the module is to introduce perception, mapping and localisation methods for autonomous systems. The course develops students’ ability to combine data from multiple sensors to detect and interpret the environment, build maps, estimate vehicle pose in real time and handle uncertainty using modern AI-based perception and sensor fusion tech…

Module: Perception, Mapping, and Localization (Part 2)

Anonymous (anonymous@undisclosed.example.com) — 2025-11-05T09:17:05+00:00

Module: Perception, Mapping, and Localization (Part 2) Study level Master ECTS credits 1 ECTS Study forms Hybrid or fully online Module aims The aim of the module is to introduce instability and uncertainty aspects in perception, mapping and localisation for autonomous systems. The course develops students’ ability to model sensor noise and uncertainty, design robust perception and fusion algorithms, and assess system behaviour in challenging and safety-critical conditions in line with r…

Module structure

Anonymous (anonymous@undisclosed.example.com) — 2025-11-03T10:09:02+00:00

Module structure Topic Description

Module: Software Systems and Middleware (Part 1)

Anonymous (anonymous@undisclosed.example.com) — 2025-11-05T09:03:59+00:00

Module: Software Systems and Middleware (Part 1) Study level Bachelor ECTS credits 1 ECTS Study forms Hybrid or fully online Module aims The aim of the module is to introduce software architectures, middleware and lifecycle management for cyber-physical and autonomous systems. The course develops students’ understanding of how multi-layer autonomy stacks support reliable sensing, perception, planning and control under real-time, interoperability and safety constraints.

Module: Software Systems and Middleware (Part 2)

Anonymous (anonymous@undisclosed.example.com) — 2025-11-05T09:15:57+00:00

Module: Software Systems and Middleware (Part 2) Study level Master ECTS credits 1 ECTS Study forms Hybrid or fully online Module aims The aim of the module is to introduce software verification, validation and testing methods for autonomous, cyber-physical and AI-based systems. The course develops students’ ability to plan, implement and assess V&V strategies across physics-based and data-driven software, in line with relevant safety and governance standards.

Module:

Anonymous (anonymous@undisclosed.example.com) — 2025-09-18T09:14:14+00:00

Module: Study level ECTS credits Study forms Module aims Pre-requirements Learning outcomes Topics