Data Intensive and Cyber Physical Systems
2025/2026
Content, progress and pedagogy of the module
Disclaimer.
This is an English translation of the module. In case of
discrepancy between the translation and the Danish version, the
Danish version of the module is valid.
PURPOSE
This project module gives the student experience with the design
and development of a solution for handling and analyzing data from
a realistic problem from a data-intensive cyber-physical system,
e.g. from the fields of application energy or traffic. Work is
being done to create smart solutions for society and the
individual.
JUSTIFICATION
In a data-intensive cyber-physical system, the underlying physical
reality is monitored, controlled and analyzed based on data from
sensors associated with the system. Data analysis in data-intensive
cyber-physical systems includes both the use of analysis for
automatic control and for interaction with human actors
(human-in-the-loop), e.g. presentation to relevant
stakeholders. It is a challenge to collect, handle and use
data effectively to manage and analyze physical systems, such as
can be wind turbines or vehicles moving around. There are great
societal gains in managing and analyzing data-intensive
cyber-physical systems, both in relation to operation and
planning.
Learning objectives
Knowledge
- have knowledge of relevant models for a data-intensive cyber-physical system
- have knowledge of analyzing data from a data-intensive cyber-physical system
Skills
- able to collect, model, handle and analyze data from a data-intensive cyber-physical system
Competences
- be able to explain the choices made in connection with the collection, modelling, handling and analysis of data as well as the strengths and weaknesses of the methods used
- could use the prepared analysis to suggest improvements to the data-intensive cyber-physical system
Type of instruction
Project work
Extent and expected workload
The student is expected to spend 30 hours per ECTS, which for this activity means 450 hours.
Exam
Exams
| Name of exam | Data Intensive and Cyber Physical Systems |
| Type of exam | Oral exam based on a project |
| ECTS | 15 |
| Permitted aids | Aids are permitted during the preparation of the project, but not during the exam. Rules regarding AI are mentioned on the semester page in MOODLE |
| Assessment | 7-point grading scale |
| Type of grading | Internal examination |
| Criteria of assessment | The criteria of assessment are stated in the Examination Policies and Procedures |
Additional information
Contact: Study Board for Computer Science via cs-sn@cs.aau.dk or 9940 8854
Facts about the module
| Danish title | Data-intensive cyber-fysiske systemer |
| Module code | DSNDVMLK231 |
| Module type | Project |
| Duration | 1 semester |
| Semester | Spring
|
| ECTS | 15 |
| Language of instruction | Danish and English |
| Location of the lecture | Campus Aalborg |
| Responsible for the module |
Organisation
| Education owner | Master of Science (MSc) in Data Science and Machine Learning |
| Study Board | Study Board of Computer Science |
| Department | Department of Computer Science |
| Faculty | The Technical Faculty of IT and Design |
