Computational statistics
Stockholm University
Start date:
End date:
Pace of study: 100 %
Published education catalogue
Education information from the published source. The education record and its time-bound offerings are kept separate.
Code: ST5101
The course presents some basic principles for numerical computing, numerical matrix algebra, solutions to equations, function optimization, and simulation techniques. The course deepens the students knowledge in programming. The course contents provide knowledge and skills that are useful in statistical computing problems such as design of statistical surveys, estimation, and hypothesis testing.
90 ECTS credits first-cycle (basic level) courses in Statistics or equivalent. Probability theory, 7.5 ECTS credits second-cycle (advanced level) course and Mathematics for Economic and Statistical analysis 7.5 ECTS credits first-cycle course or equivalent. English 6 or equivalent.
Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.
Stockholm University
Start date:
End date:
Pace of study: 100 %
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Published: .
Publication version: 8e217193-f5fa-4778-b085-a4521fd03e8d
Checksum: 1b0dc54c0fc8a359f83ba9dc8f9d468479ce432de4c03bce3b8b33dd67fe3f6c
Last changed according to the source: 2025-05-22T15:00:51