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1. Course title

Havaitsevan tähtitieteen erikoiskurssi
Special Course in Observational Astronomy
Special Course in Observational Astronomy

2. Course code


Aikaisemmat leikkaavat opintojaksot 53857 IRAF Data Reduction for Imaging and Spectroscopy, 5 op

3. Course status: optional

-Which degree programme is responsible for the course?
Master’s Programme in Particle Physics and Astrophysical Sciences

-Which module does the course belong to?
PAP3001 Advanced Studies in Astrophysical Sciences (optional for Study Track in Astrophysical Sciences)

-Is the course available to students from other degree programmes?

4. Course level (first-, second-, third-cycle/EQF levels 6, 7 and 8)

Master’s level, degree programmes in medicine, dentistry and veterinary medicine = secondcycle
degree/EQF level 7
Doctoral level = third-cycle (doctoral) degree/EQF level 8

-Does the course belong to basic, intermediate or advanced studies (cf. Government Decree
on University Degrees)?
Advanced studies

5. Recommended time/stage of studies for completion

Fundamental and Basic Observational Astronomy courses.

6. Term/teaching period when the course will be offered

The course will be offered in the fall term, in I and II periods.

7. Scope of the course in credits

5 cr

8. Teacher coordinating the course

Alexis Finoguenov

9. Course learning outcomes

The students will learn how to reduce their data obtained in Advanced Observational Astronomy course I.

The students will learn the general principles of modern astronomical data reduction.

10. Course completion methods

The course is in the form of computer classes, where students will learn the data reduction tasks using the real data.

11. Prerequisites

Fundamental and Basic Observational Astronomy courses.

12. Recommended optional studies

Unix courses.

13. Course content

Reduction of astronomical images and spectra using IRAF tasks. The course offers the required software skills to successfully perform the data reduction on the scientific projects of PAP306. Lectures cover the IRAF tasks that the students need to reduce the data from NOT, and provide training using example data

14. Recommended and required literature

15. Activities and teaching methods in support of learning

Computer classes. Lectures are posted on the course wiki.

16. Assessment practices and criteria, grading scale

Performance of the data reduction for the AOA-I course. Grading scale: pass.

17. Teaching language


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