This course is part of the main field of computer science and may be included in the degree requirements for the master’s degree (120 credits) in computer science.
The students will develop their knowledge in the application of artificial intelligence, data processing methods and data storage systems related to IoT applications.
Knowledge and understanding
To pass the course, the student must be able to:
1. Describe AI concepts and methods for processing sensor data and making decisions in relation to IoT systems
2. Explain different choices of data storage technology for IoT applications
Skills and abilities
To pass the course, the student must be able to:
3. Apply AI methods to IoT systems, so that they become adaptive and learning
4. Analyse data from IoT devices and sensors with machine learning
5. Design and implement data collection, data storage and data retrieval solutions according to the requirements of an IoT application
Judgement and approach
To pass the course, the student must be able to:
6. Critically discuss the ethical and legal aspects related to the use of AI and data processing in IoT systems.
Lectures, laboratory work, seminars, a project and independent studies.
To achieve a passing grade for the course (A-E), all parts must have been completed with at least a grade E or G.
- Passed laboratory work and active participation in seminars (5 credits)¬ – intended learning outcomes 3 & 4
- Passed written examination (5 credits)¬ – intended learning outcomes 1, 2 & 6
- Passed project with reflection (5 credits)¬ – intended learning outcomes 4, 5 & 6
The final grade is based on the use of criteria in an assessment matrix provided by the course coordinator. Laboratory work is assessed with UG while written examination and projects with reflection are assessed with A-U.
The University provides students who are taking or have completed a course with the opportunity to share their experiences of and opinions about the course in the form of a course evaluation that is arranged by the University. The University compiles the course evaluations and notifies the results and any decisions regarding actions brought about by the course evaluations. The results shall be kept available for the students. (HF 1:14).
When a course is no longer given, or the contents have been radically changed, the student has the right to re-take the examination, which will be given twice during a one year period, according to the syllabus which was valid at the time of registration.
The syllabus is a translation of a Swedish source text.