EMBEDDED SYSTEMS
| Title | ΕΝΣΩΜΑΤΩΜΕΝΑ ΣΥΣΤΗΜΑΤΑ / EMBEDDED SYSTEMS |
| Code | ΗΦΗ302 |
| Faculty | Sciences |
| School | Physics |
| Cycle / Level | 2nd / Postgraduate |
| Teaching Period | Winter |
| Coordinator | Vasileios Konstantakos |
| Common | No |
| Status | Active |
| Course ID | 600016893 |
Programme of Study: Electronic Physics (Radioelectrology)
Registered students: 7
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| ĪLEKTRONIKĪ | Compulsory Course belonging to the selected specialization (Compulsory Specialization Course) | 3 | 2 | 8 |
| Academic Year | 2024 – 2025 |
| Class Period | Winter |
| Faculty Instructors |
|
| Weekly Hours | 2 |
| Total Hours | 26 |
| Class ID | 600263089
|
Course Type 2021
Specialization / Direction
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600263089
- At the Website of the School: http://electronics.physics.auth.gr/index.php?lang=gr&sec=courses&sub=postgraduate&courseid=6
- eLearning: https://elearning.auth.gr/course/view.php?id=7493
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
- Greek (Instruction, Examination)
- English (Instruction, Examination)
Prerequisites
General Prerequisites
Basic principles of design and operation of analog and digital systems. Fundamental programming skills in standard languages such as C, C++, and Python.
Learning Outcomes
Students will be able to design at architecture-level an embedded system with multiple sensors. They will practice on system modeling, design and implementation with Raspberry Pi. Additionally, they will gain experience in design, simulation and debug of digital systems at VHDL with commercially-available tools (e.g., Modelsim and Xilinx Vivado).
General Competences
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Make decisions
- Work autonomously
- Be critical and self-critical
- Advance free, creative and causative thinking
Course Content (Syllabus)
Introduction to Embedded Systems, Design choices and challenges, Design metrics, Processor technology, Design technology and development tools, Peripheral units and study of hardware options, Modeling, design, development, and programming of embedded systems, Improvement of energy performance and performance evaluation.
Keywords
embedded systems, edge computing, system architecture, digital systems
Educational Material Types
- Notes
- Slide presentations
- Interactive excersises
Use of Information and Communication Technologies
Use of ICT
- Use of ICT in Course Teaching
- Use of ICT in Laboratory Teaching
- Use of ICT in Communication with Students
- Use of ICT in Student Assessment
Description
Slides and usage of e-learning platform.
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 50 | 2 | |||
| Laboratory Work | 80 | 3.2 | |||
| Project | 50 | 2 | |||
| Written assigments | 20 | 0.8 | |||
| Total | 200 | 8 |
Student Assessment
Description
Implementation of hardware control systems, measurement acquisition, management, and transmission of IoT technology data using Raspberry Pi.
Student Assessment methods
- Written Assignment (Formative, Summative)
- Labortatory Assignment (Formative, Summative)
Bibliography
Additional bibliography for study
1. Frank , Tony Givargis, "Embedded System Design: A unified hardware/software introduction, John Wiley & Sons Inc., 2002"
2. Xilinx, "EDK Concepts, Tools, and Techniques: A hands-on guide to effective embedded system design, 2011"
3. Richard Zurawski, "Embedded Systems Handbook, Second Edition, CRC Press, Taylor & Francis Group, 2009"
4. PEDRONI A. VOLNEI, ΣΧΕΔΙΑΣΜΟΣ ΚΥΚΛΩΜΑΤΩΝ ΜΕ ΤΗ VHDL, Εκδόσεις ΚΛΕΙΔΑΡΙΘΜΟΣ, 2007
Last Update
07-07-2025
