This content was implemented under the following projects:

• Strategic Partnerships in the Field of Education, Training, and Youth – Higher Education, 2016, IOT-OPEN.EU – Innovative Open Education on IoT: Improving Higher Education for European Digital Global Competitiveness, project number: 2016-1-PL01-KA203-026471,
• Cooperation Partnerships in higher education, 2022, IOT-OPEN.EU Reloaded: Education-based strengthening of the European universities, companies and labour force in the global IoT market, project number: 2022-1-PL01-KA220-HED-000085090,
• Horizon 2020 Research Innovation and Staff Exchange Programme (RISE) under the Marie Skłodowska-Curie Action, Programme H2020-EU.1.3.3. - Stimulating innovation by means of cross-fertilisation of knowledge, Grant Agreement No 871163: Reactive Too - Reliable Electronics for Tomorrow’s Active Systems.
• International project co-financed by the program of the Minister of Science and Higher Education entitled “PMW” in the years 2021 - 2025; contract no. 5169/H2020/2020/2

Erasmus+ Disclaimer
This project has been funded with support from the European Commission.
This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

Copyright Notice
This content was created by the IOT-OPEN.EU Consortium: 2016–2019 and IOT-OPEN.EU Reloaded Consortium 2022-2025.
The content is Copyrighted and distributed under CC BY-NC Creative Commons Licence, free for Non-Commercial use.

In case of commercial use, please get in touch with IOT-OPEN.EU Reloaded Consortium representative.

The document offers sample curricula for Bachelor and Master level studies (see figure below) in the rapidly evolving field of the Internet of Things (IoT). These examples serve as a foundational framework that educational institutions worldwide can adapt and expand upon to design their unique study modules/courses.

The Bachelor study offers an introductive module titled “Introduction to IoT,” which is segmented into four primary topics. This structure ensures a focused and in-depth exploration of each topic area within the realm of the Internet of Things, providing students with a robust foundation in this innovative field. The topics are:

• IoT Overview (1 ECTS)
• IoT Programming and Frameworks (2 ECTS)
• IoT Hardware (2 ECTS)
• IoT Communications and Networking (1 ECTS)

The structure offers the flexibility to tailor the module according to the needs of educational institutions. Schools and universities can choose to cover all of the topics for a total of 6 ECTS (European Credit Transfer and Accumulation System) credits or opt for a focused topic such as “IoT Overview,” which awards 1 ECTS credit. This adaptable approach ensures that each educational institution can provide a learning experience that aligns with its educational objectives and the goals of its students.

The Master's level study is structured into six distinct modules, each designed to provide a comprehensive understanding of the subject matter. This modular approach ensures a robust and focused educational experience tailored to foster expertise and specialization in key areas of interest.

1. IoT Design Methodologies
2. IoT Architectures, inc. Networks
3. Data Analytics
4. IoT Security
5. Blockchain in IoT
6. IoT Green Design

Each Master level study module is designed to award 3 ECTS credits. For added flexibility, there is also the option to amalgamate certain modules to suit individual academic requirements or interests better.

The following section delineates the architecture of the curriculum module in detail:

• Study level - provides the study level for which the module is designed.
• ECTS credits - how many points can be obtained to complete the module.
• Study form - explains where the module can take place: class, online, or hybrid.
• Module aims - gives the overall goal(s) or purpose(s) of the module.
• Pre-requirements - outlines pre-requirements for the current module, which the student must meet.
• Learning outcomes - lists what students are expected to know, understand, and be able to do after completing the module.
• Topics - listed subjects taught in the module. They are based on the books that were made for the IOT-OPEN.EU Reloaded project.
• Type of assessment - a general description of how assessment is carried out in the module.
• Blended learning - the module's overall framework and student tasks are described.
• References to literature - a list of books, online books, articles, etc., are given, which helps to improve knowledge in the module.
• Lab equipment - a list of equipment, software, etc., used in the module to perform local laboratory work(s).
• Virtual lab - link(s) to a virtual lab(s), which is/are used in the module to do laboratory work(s) remotely.
• MOOC course - provides a link to a massive open online course made for the IoT-OPEN.EU Reloaded project. Students from all over the world can attend it.

IOT-OPEN.EU Reloaded project delivers comprehensive Internet of Things (IoT) learning and teaching materials for various stakeholders and use cases. IoT contents have been organised into modules and are available in various forms:

• classical stationery for in-person meetings and presentations,
• remote for self-study in mass scale (MOOCs),
• remote for tutored study, also in blended learning model,
• and practical, in particular with the use of the remote access laboratory.

IoT modules cover a wide range of IoT-related topics, and thus, they are logically organised for bachelors (beginners) and masters (advanced study). Modules can be used as a full course or selected, as each comprises a closed set of lectures and topics (cross-module references, however, are needed for understanding the basic concepts of IoT).

Project results are composed of 4 main pillars (intellectual results, see figure below):

• A flexible IoT curriculum, presenting course-level organisation and individual module syllabi, is available as a PDF booklet and interactive website.
• Classical materials for in-person meetings with students, composed of:
  • coursebook for bachelors level (hardcopy, PDF), so-called “The Blue Book”, also available online in an interactive model,
  • coursebook for masters level (hardcopy, PDF), so-called “The Green Book”, also available online in an interactive model,
  • a set of PDF and textual materials for in-class DLP presentations.
• On-line materials for self-study and blended learning models:
  • online platform available to enrol students for self-study,
  • online raw materials (access to video recordings, learning curve documents and other materials, i.e. higher resolution images) to let anyone compose tutored courses based on these contents, tailored directly to their needs.
• VREL NextGen - a remote access lab (selected hardware nodes available for public use) to perform real hardware experiments on a low or conceptual level.

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