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Module: Hardware and Sensing Technologies (Part1)
| Study level | Bachelor | |
| ECTS credits | 1 ECTS | |
| Study forms | Hybrid or fully online | |
| Module aims | Provide a practical foundation in embedded protocols, sensing hardware, and navigation/positioning for autonomous systems. Students will learn how sensors (IMU, GNSS, LiDAR/camera), actuators and power systems connect to embedded computing units via standard buses (I²C, SPI, UART, CAN/CAN‑FD, Ethernet/DDS), how data moves deterministically across the system, and how to calibrate, time‑synchronise and validate multi‑sensor setups. Emphasis is placed on interface compatibility, thermal/power constraints, EMC considerations and the integration lifecycle (from requirements to HIL testing) that turns components into a reliable platform. | |
| Pre-requirements | Motivation to study AV, recommended to have basics on programming, electronics and mechatronics | |
| Learning outcomes | After completing this module (for every topic listed below), the student: - knows x - knows y - understands z - can w |
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| Topics | Topic AV1 (1 ECTS) Topic AV2 (2 ECTS)) Topic AV3 (2 ECTS) Topic AV4 (1 ECTS) |
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| Type of assessment | The prerequisite of a positive grade is a positive evaluation of module topics and presentation of practical work results with required documentation | |
| Learning methods | to be added | |
| AI involvement | Explicit list of AI tools and application mtehods | |
| References to literature | to be added | |
| Lab equipment | to be added | |
| Virtual lab | to be added | |
| MOOC course | MOOC Courses hosting for SafeAV, IOT-OPEN.EU Reloaded, and Multiasm grants: http://edu.iot-open.eu/course/index.php?categoryid=3 | |
