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Lund University
Astronomy: Statistical Tools in Astrophysics
<p>In this course you will learn statistical techniques that are used in the analysis of data sets in various fields, with applications taken from astrophysics.You will also get knowledge of concepts underpinning these techniques, as well as the skill to use them on data.</p><p>The course contains the following part…
- Higher education
- Information unavailable
- 31 August 2026
- Information unavailable
- Information unavailable
- 50 %
Overview
<p>In this course you will learn statistical techniques that are used in the analysis of data sets in various fields, with applications taken from astrophysics.You will also get knowledge of concepts underpinning these techniques, as well as the skill to use them on data.</p><p>The course contains the following parts: Basic probability theory and statistics. The concept of probability, probability distributions and Bayes' theorem. Sampling, moments, correlation, and order statistics. Graphical presentation of data. Parameter estimation and model fitting. The maximum likelihood principle and the least squares method. Signal, noise, errors and uncertainties. Uncertainty estimates and confidence intervals. Monte Carlo methods. Hypothesis testing. Periodograms for regular and irregular time series.</p> <p> </p>
Admission scores
Entry requirements
To be admitted to the course, students must have 75 credits in Physics and 45 credits in Mathematics, or a Bachelor of Science in Physics, and English 6/B.
The text is reproduced from the Susa source. Antagningsdata does not map GY11 and GY25 or assess personal eligibility.
Source, measure and data quality
- Source
- Skolverket Susa-navet
- Period
- 2026-08-31
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.lu.astm29.11452.20262
- Last checked
- 2026-09-23T10:38:26.989764+00:00
- Limitation
- Antagningsdata does not map GY11 and GY25. General and specific conditions are not separated without structured source data.
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About the provider
Sources and data quality
Education facts for the selected offering come from Skolverket Susa-navet.
Retrieved . Published . Times are shown in Swedish local time.
Source identity and publication version
- Publication version
- 8e217193-f5fa-4778-b085-a4521fd03e8d
- Education identity in the source
- i.uoh.lu.astm29.11452.20262
- Offering identity in the source
- e.uoh.lu.astm29.11452.20262
- Education-form source code
- HS
- Education code in the source
- ASTM29
- Change time according to the source
- 2026-02-03T11:40:22
The provider, education and education offering are separate identities. Application information should be checked on the official website. Supplementary statistics have not been obtained from this source.