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Till KTH:s startsida

On this page, you can track the course's development over time. Once the course analysis is published, data for each course offering is displayed, including the number of registered students, course results, and planned improvements for the next session. 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, program directors, and others can use the page as a resource for course development.

2022

mladv22 ( Start date 31 Oct 2022, English )

Changes planned for the next course offering

No information inserted
Coordinator
Jens Lagergren
Examiners
Jens Lagergren
Students
126
Course syllabus
Course syllabus DD2434 ( Autumn 2021 - Spring 2024 )
Course memo
No course memo added
Compulsory within programme
TMAIM
Course analysis
Course analysis DD2434: 15 Dec 2023
Changes introduced for this course offering
Reduced work-load.

Course data has been registered manually

Examination grade
85.9%*

2021

mladv21 ( Start date 01/11/2021, English )

Changes planned for the next course offering

No information inserted
Coordinator
Jens Lagergren
Examiners
Jens Lagergren, Pawel Herman
Students
146
Course syllabus
Course syllabus DD2434 ( Autumn 2021 - Spring 2024 )
Course memo
Course memo DD2434 Autumn 2021-50172
Compulsory within programme
TMAIM
Course analysis
Course analysis DD2434: 4 Oct 2022
Changes introduced for this course offering
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.
Examination grade
77.4%