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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.

2026

Course analysis not published

2025

Autumn 2025-50879 ( Start date 25 Aug 2025, English )

Changes planned for the next course offering

Reflections and Proposed Improvements While the course outcomes and student satisfaction were very strong, the workload was identified as relatively high. A total of six assignments are required to pass the course, which represents a significant workload for both students and teaching staff. A suggested improvement for the next course iteration is to consider reducing the number of assignments while maintaining constructive alignment with the learning objectives.
Coordinator
Philip Kappen
Examiners
Philip Kappen
Students
168
Compulsory within programme
TINEM
Results on course
Total number
157
P
157
F
0

2024

Course analysis not published

2023

Course analysis not published

2022

Course analysis not published

2021

Autumn 2021-1 ( Start date 30/08/2021, English )

Changes planned for the next course offering

No information inserted
Coordinator
Emrah Karakaya
Examiners
Emrah Karakaya
Students
100
Course memo
No course memo added
Compulsory within programme
TINEM
Changes introduced for this course offering
In compare to the previous year, the timespan of course was expanded from one period to one and half periods. In addition we have updated the course literature (e.g., added specific articles about sustainability) and diversified the topics that have been covered in the guest lectures (e.g., machine learning as a research method, digital media analytics).
Examination grade
97%