Modelling and Analysis of Data - DIKU
Kursusudbyder
Københavns Universitet
Lokation
- Copenhagen
Beskrivelse
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.
Det praktiske
Kursusudbyder
Lokation
- Copenhagen
Kursusudbyder kontaktinformationer
Kontakt studieadministrationen
E-mail: efteruddannelse@science.ku.dk
Tlf.:35 33 35 33
ECTS-point:
7,5
Om ECTS-point ECTS står for European Credit Transfer System. Det er et system, der kan benyttes til meritoverførsel inden for videregående uddannelser i udlandet eller i Danmark.
Undervisningssprog
Engelsk
Udbudt til
Efterår
Kursets uddannelsesniveau
Bachelor/Diplom/HD2
Kursets varighed og datoer
Gå til kursusudbyderens hjemmeside for at læse mere om kursets varighed og datoer. Finanskompetencepuljen kender kun kursets varighed eller datoer, hvis det står her på siden.