HUOM! OPINTOJAKSOJEN TIETOJEN TÄYTTÄMISTÄ KOORDINOIVAT KOULUTUSSUUNNITTELIJAT HANNA-MARI PEURALA JA TIINA HASARI
1. Course title
Havaitsevan tähtitieteen erikoiskurssi
Special Course in Observational Astronomy
Special Course in Observational Astronomy
2. Course code
PAP308
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?
PAP300 Advanced Studies in Particle Physics and Astrophysical Sciences (optional for Study Track in Astrophysical Sciences)
-Is the course available to students from other degree programmes?
Yes
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
Charles Kirkpatrick
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.
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
English