Course syllabus - Internet of Things - Data Communication and Security

Objectives

The purpose of this course is to provide the knowledge on infrastructure and technologies that are needed to generate, transport and managing data. The course will give the students an insight in different components included in IoT, such as sensor technologies, data communication and security. Moreover, the course will highlight practical aspects of the IoT-infrastructures.

Learning outcomes

After completing the course, the student shall be able to:
1. describe and argue about basic concepts used in IoT-infrastructures,
2. describe and evaluate IoT-communication infrastructure including wire- and wireless communication and their possibilities and limitations,
3. explain the security aspects of data communication for IoT-applications and understand appropriate measures against common security issues,
4. understand how different sensor types and IoT devices can be used in different systems and know the characteristics of each type, 
5. understand and apply IoT platforms in IoT systems, and
6. demonstrate the ability to practically and theoretically translate their knowledge within practical systems.

Course content

- IoT-devices and smart sensors
- IoT-communication infrastructure (e.g., MQTT, OPC UA, 5G, …) 
- IoT-platforms
- Cybersecurity for IoT-communication
- Industrial IoT-applications

Specific requirements

Programming 7.5 credits and Computer Systems 7,5 hp.

Examination

Written examination (TEN1), 3 credits, examines the learning outcomes 1-4, marks Fail (U), 3, 4 or 5.
Laboratory work (LAB1), 4,5 credits, examines the learning outcomes 5-6, marks Fail (U) or Pass (G).

A student who has a certificate from MDU regarding a disability has the opportunity to submit a request for supportive measures during written examinations or other forms of examination, in accordance with the Rules and Regulations for Examinations at First-cycle and Second-cycle Level at Mälardalen University (2020/1655). It is the examiner who takes decisions on any supportive measures, based on what kind of certificate is issued, and in that case which measures are to be applied.

Suspicions of attempting to deceive in examinations (cheating) are reported to the Vice-Chancellor, in accordance with the Higher Education Ordinance, and are examined by the University’s Disciplinary Board. If the Disciplinary Board considers the student to be guilty of a disciplinary offence, the Board will take a decision on disciplinary action, which will be a warning or suspension.

Grade

Pass with distinction, Pass with credit, Pass, Fail

Interim Regulations and Other Regulations

The course can be counted into the main field of computer science with specialization in intelligent systems.

The course overlaps with 2 credits towards DVA480 Introduction to IoT Infrastructures and PPU450 Internet of Things for Manufacturing Industry. The course also overlaps with 2 credits towards PPU446 Industrial Internet of Things for Manufacturing Industry and with 4 credits towards DVA238/DVA261 Data Communication for Embedded Systems 2. In addition- the course completely overlaps towards DVA257 Internet of Things - Data Communication and Security and also with two credits towards PPU474 Internet of Things Platforms for Manufacturing Industry.