The course includes a workshop series with topics spanning from scientific theories to algorithmic solutions, and a set of case studies for learning and analysis.
FMF3037 Literature course on Artificial Intelligence for CPS Operation Monitoring and Anomaly Detection 7.5 credits
Many of modern systems like autonomous vehicles and smart factories are Cyber-Physical Systems (CPS) with Embedded Control Systems (ECS) as the key enabling technology. Such systems often exhibit complex stochastic dynamic behaviors, while being inherently safety critical. This course aims to equip the participants with fundamental knowledge about related state-of-the-art approaches to the development of advanced situation-awareness and self-management capabilities for such systems. The focus of the study is on the understanding of some useful artificial intelligence (AI) methods for operation condition monitoring and anomaly detection as well as their interplays with model-based systems engineering, formal methods, software and hardware design. After completed course, the students are expected to present an analysis of useful AI based approaches to some dynamic process management problems.
Course offerings are missing for current or upcoming semesters.
Headings with content from the Course syllabus FMF3037 (Autumn 2021–) are denoted with an asterisk ( )
Content and learning outcomes
Course contents
Intended learning outcomes
After completed course, students are expected to present a study of the area of AI based operation condition monitoring and anomaly detection for cyber-physical systems including the following learning goals and subjects:
- challenges and trends within the area of dependable intelligent systems
- current research questions and AI methods for effective inference and classification of dynamic processes.
The scientific area is to be studied both according to state of the art and from practical implementations.
Literature and preparations
Specific prerequisites
Admitted to PhD studies
Recommended prerequisites
No information inserted
Equipment
No information inserted
Literature
No information inserted
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
Grading scale
P, F
Examination
- INL1 - Assignment, 7.5 credits, grading scale: P, F
Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.
The examiner may apply another examination format when re-examining individual students.
Opportunity to complete the requirements via supplementary examination
No information inserted
Opportunity to raise an approved grade via renewed examination
No information inserted
Examiner
Ethical approach
- All members of a group are responsible for the group's work.
- In any assessment, every student shall honestly disclose any help received and sources used.
- In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.
Further information
Course room in Canvas
Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.
Offered by
Main field of study
This course does not belong to any Main field of study.
Education cycle
Third cycle
Add-on studies
No information inserted