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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.

2026

Kursanalys ej publicerad

2025

mladv25 2025-50325 ( Start date 27 Oct 2025, English )

Förändringar som införs till nästa kursomgång

Analysis The course is viewed as relevant and engaging, with particularly strong results regarding inclusion, respect, and student participation. This indicates a well-functioning classroom environment and motivated students. The course will next year have a stronger focus on the probabilistic method and generative AI, which is likely to increase student satisfaction. Areas that require attention concern clarity of course organization, transparency of expectations, and support for monitoring progress. The last component will be strengthen next year by a new examination system. This year fear of AI based cheating forced us to have substantial amounts of oral examination that removed resources from grading written solutions and, thereby, increased turn-around time. The variation in responses suggests that some students, especially those with weaker background knowledge, may have experienced uncertainty regarding structure, grading criteria, or alignment between teaching activities and examination. Planned improvements Further clarify course structure and expectations Provide clearer grading criteria and rubrics for assignments. Increase survey participation by reminding students and allocating time for evaluation completion.
Kursansvarig
Jens Lagergren
Examinator
Jens Lagergren
Studenter
179
Kurs-PM
Inget kurs-PM tillagt
Obligatorisk inom program
TMAIM
Resultat på kurs
Totalt antal
167
A
36
B
32
C
18
D
16
E
65
FX
0
F
0

Autumn 2025-10466 ( Start date 27 Oct 2025, English )

Förändringar som införs till nästa kursomgång

Ingen information tillagd
Kursansvarig
Ingen information tillagd
Examinator
Jens Lagergren
Studenter
4
Kurs-PM
Inget kurs-PM tillagt
Obligatorisk inom program
Ingen information tillagd
Resultat på kurs
Totalt antal
4
A
1
B
1
C
1
D
0
E
1
FX
0
F
0

2024

Kursanalys ej publicerad

2023

Kursanalys ej publicerad

2022

mladv22 ( Start date 31 Oct 2022, English )

Förändringar som införs till nästa kursomgång

Ingen information tillagd
Kursansvarig
Jens Lagergren
Examinator
Jens Lagergren
Studenter
126
Kurs-PM
Inget kurs-PM tillagt
Obligatorisk inom program
TMAIM
Förändringar som har införts till den här kursomgången
Reduced work-load.

Kursdata har registrerats manuellt

Examinationsgrad
85.9%*

2021

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

Förändringar som införs till nästa kursomgång

Ingen information tillagd
Kursansvarig
Jens Lagergren
Examinator
Jens Lagergren, Pawel Herman
Studenter
146
Obligatorisk inom program
TMAIM
Förändringar som har införts till den här kursomgången
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.
Examinationsgrad
77.4%