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
When the course analysis has been published, the course data, course memo and course syllabus are displayed.
2022
mladv22 ( Start date 31 Oct 2022, English )
Course syllabus DD2434 ( Autumn 2021 - Spring 2024 )No course memo addedCourse analysis: 15 Dec 2023Coordinator | Examiners | Students | Examination | Result | Changes of the course before this course offering |
---|---|---|---|---|---|
Jens Lagergren | Jens Lagergren | 126 | LAB1 (4.0) A, B, C, D, E, FX, F TEN1 (3.5) A, B, C, D, E, FX, F | 85.9 % * | Reduced work-load. |
Course data has been registered manually
Additional data about the course analysis
The course analysis applies to following course offerings
Compulsory within programme
Published first time
15 Dec 2023
Last time changed
No changes since first published.
2021
mladv21 ( Start date 01/11/2021, English )
Course syllabus DD2434 ( Autumn 2021 - Spring 2024 )Course memo DD2434 Autumn 2021-50172Course analysis: 4 Oct 2022Coordinator | Examiners | Students | Examination | Result | Changes of the course before this course offering |
---|---|---|---|---|---|
Jens Lagergren | Jens Lagergren, Pawel Herman | 146 | LAB1 (4.0) A, B, C, D, E, FX, F TEN1 (3.5) A, B, C, D, E, FX, F | 77.4 % | The workload varies during the course. This will be countered by restructuring the assignments and also providing both assignments and projects at an earlier stage of the course. The students desire to have a larger degree of collaborative moments. We will attempt to identify more implementation oriented parts of the examination that can be given as collaborative tasks. In some videos the text have been smaller than what is desirable. These videos have been remade and lecture hall teaching will be used to introduce the material as well as follow up on the students understanding of it. The examination has been based on the thresholding method recommended in some of the pedagogical courses at KTH, i.e., only those students with a grade above a certain threshold can proceed to the harder parts of the examination. This has led to frustration and stress among the students. We will simply abandon this system and allow all student to attempt all parts of the examination. Many students start because of the hype of machine learning but do not finish the course and these may be diluting our Learning Experience Questionnaire. We will try to separate the two groups. |
Course data has been registered manually
Additional data about the course analysis
The course analysis applies to following course offerings
Compulsory within programme
Published first time
4 Oct 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.