Data on the course
Show instruction and examinations
PAP312 Time Series Analysis in Astronomy, 5 cr 
Code PAP312  Validity 01.01.2017 -
Name Time Series Analysis in Astronomy  Abbreviation Time Series Ana 
Scope5 cr   
TypeAdvanced studies
TypeCourse   
  GradingGeneral scale 
  no
    Can be taken more than onceno
Unit Master's Programme in Particle Physics and Astrophysical Sciences 

Description
Target group 

Master’s Programme in Particle Physics and Astrophysical Sciences is responsible for the course.

Module where the course belongs to:

  • PAP300 Advanced Studies in Particle Physics and Astrophysical Sciences
    Optional for:
    1. Study Track in Astrophysical Sciences

The course is available to students from other degree programmes.

 
Timing 

The course will be offered in the autumn term, in I and II periods.
It is held only once in every two years.

 
Learning outcomes 

The students will learn the theory, the application and the programming of different period finding methods that can be used to analyse astronomical data.

 
Completion methods 

There will be 2x45 minutes of lectures, i.e. contact teaching, during every week. There are no exams. The students will perform group and personal assignments. The number of assignments completed by the student determines the grade received of this course. The attendance to lectures is voluntary. However, the assingments must be returned in the time given to complete them.

 
Prerequisites 

Previous programming experience is useful (e.g. Scientific Computing I), because the assignments are performed with IDL or python programming languages.

 
Recommended optional studies 

The methods taught in this course are applied to real data in the course "Variable stars"

 
Contents 

The following methods are taught: the power spectrum method, the three stage period analysis method (TSPA: pilot, grid and refined search), and the bootstrap method. All these will be programmed and applied to real data.

 
Study materials and literature 

All neceassary material can be found in the lecture notes at course home-page. Supplementary material can be found in the publications listed on the same home-page.

 
Activities and teaching methods in support of learning 

Weekly lectures and independent work in completing the given assingments. Personal advice from the lecturer and assistant of the course.

 
Assessment practices and criteria 

The number of assignments completed by the student determines the grade received of this course.

 


Current and future instruction
Functions Name Type cr Teacher Schedule
Registration Time Series Analysis in Astronomy  Lecture Course  Lauri Jetsu 
04.09.19 -16.10.19 wed 12.15-14.00
30.10.19 -11.12.19 wed 12.15-14.00

Future examinations
No examinations in WebOodi
You may enter WebOodi: