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På denna sida kan du följa hur kursen har utvecklats över tid. När kursanalysen har publicerats visas kursdata för varje kurstillfälle, inklusive examination, antal registrerade studenter, kursresultat samt planerade förändringar inför nästa kurstillfälle. Alla kursplaner och publicerade kurs-PM visas på sidan Arkiv.

Presumtiva, nuvarande, och tidigare studenter kan ta del av informationen som hjälp vid kursval, eller för att följa upp sitt eget deltagande. Lärare, kursansvariga, examinatorer, programansvariga m.fl. kan använda sidan som ett stöd vid kursutveckling.

2025

Kursanalys ej publicerad

2024

Kursanalys ej publicerad

2023

Doktorand ( Start date 30 Oct 2023, English ) , relaut23 ( Start date 30 Oct 2023, English )

Förändringar som införs till nästa kursomgång

Ingen information tillagd
Kursansvarig
Elena Troubitsyna
Examinator
Elena Troubitsyna
Studenter
32
Kurs-PM
Inget kurs-PM tillagtInget kurs-PM tillagt
Obligatorisk inom program
Ingen information tillagd
Förändringar som har införts till den här kursomgången
* The course strengthen active learning. In addition to self-study materials (videos and text, e.g, articles, examples of problem solving and slides), each lecture contained at least one mini-challenge – a small task to be solved in 5 minutes in small groups followed by a general class discussion. Such mini-challenges were offered right after the students got acquainted with certain concepts of methods, which proved to be hard to grasp based on the experience from the previous course releases. * Suggestions on the material to refresh background knowledge as well as get a deeper insight into the topic were updated. * One assignments was redesigned because students found it unclear in the previous release of the course. The students praised the idea of assignments that are defined as the parts of a large project allowing then to work on different aspects of the same system in all assignment. It was a very good solution because the students developed the modules of one large system and got coherent view on how dependability aspects are interrelated in large autonomous systems design. * The grading criteria were redefined in more detailed and transparent way. Moreover, they were made proportional to the size of the group. As a result, the students could better plan their time and efforts as well as set different goals for the grades. * New questions for canvas quiz were defined. The quiz verifies mastery of theoretical aspects.
Examinationsgrad
100%

2022

Kursanalys ej publicerad

2021

relaut21 ( Start date 01/11/2021, English )

Förändringar som införs till nästa kursomgång

Ingen information tillagd
Kursansvarig
Elena Troubitsyna
Examinator
Elena Troubitsyna
Studenter
14
Obligatorisk inom program
Ingen information tillagd
Förändringar som har införts till den här kursomgången
The main changes in the course for 2021 were: * The course includes a strong active learning component. Each lecture contains self-study materials (videos and text, e.g, articles, examples of problem solving and slides). Suggestions on the material to refresh background knowledge as well as get a deeper insight into the topic are included. * The assignments were redesigned: instead of three small unrelated mini-projects and one large project (as in the previous version) the students now work on different aspects of the same system in all assignment. It was a very good solution because the students developed the modules of one large system, and got coherent view on how dependability aspects are interrelated in large autonomous systems. * The work distribution between the assignments is now made even. It was a good idea because the students could better plan their time and efforts and avoid being overwhelmed with a large final project. * Better opportunities to reflect are introduced via the presentation sessions. * Constructive alignment is improved via a large system development carried out throughout the entire course. * Canvas quiz is introduce to verify mastery of theoretical aspects. It made the theoretical part better structured. * A reflection on the sustainability, societal and ethical issues of autonomous system is better supported now via quiz questions.
Examinationsgrad
85.7%