Due to a great and increasing importance in relevance of large-scale data in various fields in science and technology, there is a need to understand the computational approaches used to analyze, understand and extract information from large amounts of data. The course gives an introduction to the use of many efficient numerical algorithms associated arising in problems in the analysis of large amounts of data. We use mathematical and numerical tools to study problems and algorithms.
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KTH Campus
Spring 2026: P3 (7.5 hp)
50%
61395
Normal Daytime
English
Places are not limited
Please note: all information from the Course syllabus is available on this page in an accessible format.
Course syllabus SF2526 (Autumn 2020–)The course is mainly focused on the algorithmic and practical computational aspects and applications in the following topics:
The general intended objective is to obtain understanding when the algorithms of the course work well and their implementation, justification and analysis. More specifically, after a completed course the student shall be able to
SF2524 Matrix Computations for Large-scale Systems (or equivalent).
Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.
The examiner may apply another examination format when re-examining individual students.
If the course is discontinued, students may request to be examined during the following two academic years.
