Data on the course
767601S Time Series Analysis in Astronomy, 5 ECTS cr  
Code 767601S  Validity 01.08.2017 -
Name Time Series Analysis in Astronomy  Abbreviation Time Series Ana 
Scope 5 ECTS cr  
TypeAdvanced Studies Discipline3257 Astronomy 
TypeCourse   
  Grading1 - 5, pass, fail 
 
   
Unit Field of Physics 

Teachers
Name
Vitaly Neustroev 

Description
ECTS Credits 

5 ECTS credits / 133 hours of work

 
Language of instruction 

English

 
Timing 

Not lectured every year, Period 4

 
Learning outcomes 

After taking the course the student is expected to understand basic time series concepts and terminology, to be able to select time series methods appropriate to goals and summarize results of time series analysis in writing. The main objective of this course is to develop the skills needed to do empirical research in fields operating with time series data sets.

 
Contents 

This is an introductory course, with particular emphasis on practical aspects of the typical time series encountered in astronomy and in related field of sciences: search for periodicities hidden in noise. Topics include detrending, filtering, autoregressive modeling, spectral analysis, regression, and wavelet analysis. Methods that can be applied to evenly and unevenly spaced time series are considered.

 
Mode of delivery 

Face-to-face teaching

 
Learning activities and teaching methods 

Lectures 24 h, exercises 24 h. The theoretical part of lectures concentrates on both parametric and nonparametric time series analysis methods. The practical part involves programming, application and interpretation of the results. Self-study 85 h.

 
Target group 

Student of the intermediate and advanced level.

 
Prerequisites and co-requisites 

No pre-knowledge is required in the time series analysis field. A rough knowledge of Fourier transforms and related functions as well as some basic knowledge in Statistics would be an advantage.

 
Recommended optional programme components 

No alternative course units or course units that should be completed simultaneously

 
Recommended or required reading 

Numerical Recipes, papers.

 
Assessment methods and criteria 

One written examination Read more about assessment criteria at the University of Oulu webpage.

 
Grading 

Numerical grading scale 0 - 5, where 0 = fail

 
Person responsible 

Vitaly Neustroev

 
Working life cooperation 

No work placement period

 
Other information 

https://wiki.oulu.fi/display/765368A/

 


Current and future instruction
No instruction in WebOodi

Future examinations
No examinations in WebOodi