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Modelling and Analysis of Data - DIKU

Course provider

Københavns Universitet

Location

  • Copenhagen

Description

The purpose of the course is to provide a basic and broad introduction to the representation, analysis, and processing of sampled data. The course will introduce the student to statistical analysis, mathematical modelling, machine learning and visualization for experimental data. Examples will be taken from real-world problems, such as analysis of internet traffic, language technology, digital sound and image processing, etc. In addition, the course will provide an introduction to a programming tool suitable for data analysis (most likely one of the following: MATLAB, Python or R).

The student will be able to:
- Apply the least squares method for linear modeling and estimation.
- Analyse sampled data by appropriate mathematical modelling methods.
- Describe certain useful multivariate methods and their use, especially principal component analysis (PCA) and its use in dimensionality reduction.
- Visualise low- and high-dimensional data by simple plots and images.
- Implement simple data analysis and modeling methods.
- Perform the analysis of experimental data using the methods learnt during the course and evaluate the results.

Københavns Universitet

Practical information

Course provider

Københavns Universitet

Location

  • Copenhagen

Course provider contact information

Contact the study administration
E-mail: efteruddannelse@science.ku.dk
Tel.:35 33 35 33

ECTS credits

7,5

About ECTS Credits
About ECTS points ECTS stands for European Credit Transfer System. This is a system that can be used for credit transfer within higher education abroad or in Denmark.

Course language

English

Offered to

Autumn

Deadline

Oct. 16, 2024

Current level of education

Bachelor/Diplom/HD2

Course duration

Kursusstart den 18. november 2024.

Forløb: November - januar.

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