Course development
On this page, the course coordinator or examiner will publish course analyses with course data for a course offering. When the course analysis has been published, the course data, the course memo, and the course syllabus are displayed. All course syllabuses and course memos are shown on the page Archive.
The information can help prospective, current, and former students with course selection, or to follow up on their own participation. Teachers, course coordinators, examiners, etc. can use the page as support in course development.
2024
When the course analysis has been published, the course data, course memo and course syllabus are displayed.
2023
Doktorand ( Start date 30 Oct 2023, English ) , relaut23 ( Start date 30 Oct 2023, English )
Course syllabus DD2528 ( Autumn 2021 - )No course memo addedNo course memo addedCourse analysis: 24 Jun 2024Coordinator | Examiners | Students | Examination | Result | Changes of the course before this course offering |
---|---|---|---|---|---|
Elena Troubitsyna | Elena Troubitsyna | 32 | LAB2 (6.5) A, B, C, D, E, FX, F QUI1 (1.0) P, F | 100 % | * 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. |
Course data has been registered manually
Additional data about the course analysis
The course analysis applies to following course offerings
Compulsory within programme
No information inserted
Published first time
24 Jun 2024
Last time changed
No changes since first published.
2022
When the course analysis has been published, the course data, course memo and course syllabus are displayed.
2021
relaut21 ( Start date 01/11/2021, English )
Course syllabus DD2528 ( Autumn 2021 - )Course memo DD2528 Autumn 2021-51084Course analysis: 1 Feb 2022Coordinator | Examiners | Students | Examination | Result | Changes of the course before this course offering |
---|---|---|---|---|---|
Elena Troubitsyna | Elena Troubitsyna | 14 | LAB2 (6.5) A, B, C, D, E, FX, F QUI1 (1.0) P, F | 85.7 % | 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. |
Course data has been registered manually
Additional data about the course analysis
The course analysis applies to following course offerings
Compulsory within programme
No information inserted
Published first time
27 May 2022
Last time changed
No changes since first published.
2020
When the course analysis has been published, the course data, course memo and course syllabus are displayed.
2019
When the course analysis has been published, the course data, course memo and course syllabus are displayed.