Big Data processing - Ιnternet of Τhings (IoT)
| Title | Επεξεργασία Δεδομένων Μεγάλου Όγκου - IoT / Big Data processing - Ιnternet of Τhings (IoT) |
| Code | ΝΔΕΕΠ119 |
| Faculty | Agriculture, Forestry and Natural Environment |
| School | Agriculture |
| Cycle / Level | 2nd / Postgraduate |
| Teaching Period | Winter/Spring |
| Coordinator | Vasileios Fragkos |
| Common | No |
| Status | Active |
| Course ID | 600026103 |
Programme of Study: 2024- sīmera
Registered students: 3
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| KORMOS | Elective Courses | 2 | 1 | 7 |
| Academic Year | 2025 – 2026 |
| Class Period | Spring |
| Faculty Instructors |
|
| Weekly Hours | 3 |
| Total Hours | 39 |
| Class ID | 600290398
|
Course Type 2021
Specific Foundation
Course Type 2016-2020
- Background
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600290398
- eLearning: https://elearning.auth.gr/course/view.php?id=15987
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
- Greek (Instruction, Examination)
- English (Instruction, Examination)
Learning Outcomes
Understands the architecture and basic characteristics of IoT systems that process large volumes of data as well as their -Understand the requirements based on their architecture.
By the end of the course the students are expected to:
-Recognise advanced techniques and tools for processing large volumes of data applied to IoT applications.
-Understand the interactions between IoT devices, as well as between devices within the cloud environment
-Uses his knowledge to analyze, compare and propose alternatives regarding specific applications and their potential performance problems.
General Competences
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Make decisions
- Work autonomously
Course Content (Syllabus)
Introduction to IoT, General characteristics of IoT (devices, gateways, cloud, applications), Management of Information Systems in Precision Agriculture, IoT Applications, IoT Protocols, Topology & Network Structures for IoT devices, Introduction to Radio Frequency Identification Systems, (RFID)), Applications of RFID Systems, Introduction of Blockchain Technology in IoT Applications, Blockchain Structure, Blockchain Applications, Big Data and Analytics, Introduction to Intelligent Decision Support Systems (DSS), IoT Integration Techniques in DSS, DSS Applications
Keywords
data communication, topology, wireless sensors, cloud, control, automation
Educational Material Types
- Notes
- Slide presentations
- Video lectures
Use of Information and Communication Technologies
Use of ICT
- Use of ICT in Course Teaching
- Use of ICT in Communication with Students
Description
Slides,
1 essay
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 117 | ✓ | |||
| Reading Assigment | 49 | ✓ | |||
| Project | 21 | ✓ | |||
| Written assigments | 6 | ✓ | |||
| Exams | 3 | ✓ | |||
| Total | 196 |
Student Assessment
Description
The students will be graded based on their performance in the final essay.
Student Assessment methods
- Written Assignment (Formative)
Last Update
21-01-2025
