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Information
| Code | AA021 |
| Name | Data Analysis in Astronomy I |
| Term | 2022-2023 Academic Year |
| Term | Spring |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Yüksek Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. NAZIM AKSAKER |
| Course Instructor |
1 |
Course Goal / Objective
In this course, the techniques used in Astronomy, Remote Sensing and Geographical Information Systems are aimed to gain knowledge and skills related to the processing techniques of IDL program.
Course Content
Data analysis in astronomy will be explained.
Course Precondition
None
Resources
Lecture Notes
Notes
Lecture Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Apply by programming with algorithm. |
| LO02 | Establishes a connection between input / output processes |
| LO03 | Applies image filtering techniques |
| LO04 | Implements fourier analysis to images |
| LO05 | Distinguish astronomical images and apply basic image processing methods. |
| LO06 | Apply trained / uneducated classification techniques. |
| LO07 | Recognize remote sensing satellites, |
| LO08 | Recognize the astronomical satellites and use their archives. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | To know and apply the branches of science and observational methods used in their fields. | 2 |
| PLO02 | Bilgi - Kuramsal, Olgusal | To critically evaluate the knowledge gained in Physics, Mathematics, and Space Sciences and Technologies, to determine needs, to pursue life-long learning, to monitor developments and to use technology effectively to reach up-to-date information. | 3 |
| PLO03 | Bilgi - Kuramsal, Olgusal | To carry out thesis studies in the fields related to Astronomy and Space Sciences, to support their thoughts on the subjects and the solutions to the problems with quantitative and qualitative data. | 2 |
| PLO04 | Bilgi - Kuramsal, Olgusal | Communicate verbally and in writing; develop communication skills in the field of ICT using at least one foreign language and develop communication skills with colleagues. | |
| PLO05 | Bilgi - Kuramsal, Olgusal | To design and develop scientific and technological materials for the skills acquired in the field of Astronomy and Space Sciences. | 3 |
| PLO06 | Bilgi - Kuramsal, Olgusal | Organizing projects and activities for the social environment in which they live with social responsibility awareness and implementing them. | |
| PLO07 | Bilgi - Kuramsal, Olgusal | To be able to access information from written, permanent, reliable and accurate sources and use information resources. | |
| PLO08 | Bilgi - Kuramsal, Olgusal | To be able to make interdisciplinary and interdisciplinary group studies, to work effectively and to use time effectively | 2 |
| PLO09 | Bilgi - Kuramsal, Olgusal | To be able to take responsibility, to act independently and to gain the ability of creativity. | |
| PLO10 | Bilgi - Kuramsal, Olgusal | Develop professional responsibility and ethical awareness. | |
| PLO11 | Bilgi - Kuramsal, Olgusal | To be able to derive information about the properties and evolution of the source from the photons recorded by linking the basic physical interactions with the radiation processes. | |
| PLO12 | Bilgi - Kuramsal, Olgusal | To be able to evaluate the structure, formation and evolution of the universe as a whole with scientific methods. | 2 |
| PLO13 | Beceriler - Bilişsel, Uygulamalı | To be able to comprehend and apply the processes related to data collection, analysis and interpretation. | 4 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | What is image, Raster, vector data definitions, data formats (FITS, HDF5, GEOTIF etc.) | no preliminary preparation. | Öğretim Yöntemleri: Anlatım |
| 2 | Command Line operations, basic programming logic, algorithm, simple programs | no preliminary preparation. | Öğretim Yöntemleri: Anlatım |
| 3 | Visualization of images, pixel analysis, showing the results, output. | no preliminary preparation. | Öğretim Yöntemleri: Anlatım |
| 4 | Visualization of images, pixel (px) analysis, showing the results, output. | no preliminary preparation. | Öğretim Yöntemleri: Anlatım |
| 5 | Filtering (closest neighborhood filter, splash filter), application of interpolations to images. | no preliminary preparation. | Öğretim Yöntemleri: Anlatım |
| 6 | Visualization of images, pixel analysis, ploting the results, output. | no preliminary preparation. | Öğretim Yöntemleri: Anlatım |
| 7 | Application of Converting Tometric Observations to Standard System. As a Preparation; JD-Date, JD Transformation, Mean and Visible Star Times, Air Mass, HeliocentricTime Correction, Reduction of Observations in UBV Filter System, First-Order Atmospheric Damping Coefficients, Second-Order Atmospheric Damping Coefficients, Instrumental Conversion Coefficients (Photometric ScaleFactors), Reduction Applications. Conversion to Standard System | no preliminary preparation. | Öğretim Yöntemleri: Anlatım |
| 8 | Mid-Term Exam | Ölçme Yöntemleri: Yazılı Sınav, Ödev |
|
| 9 | Applying techniques to identify objects from pixels | no preliminary preparation. | Öğretim Yöntemleri: Anlatım |
| 10 | Analysis of meteorological and ground-based satellites in HDF5 format. | no preliminary preparation. | Öğretim Yöntemleri: Anlatım |
| 11 | Learns to manipulate FITS data format. | no preliminary preparation. | Öğretim Yöntemleri: Anlatım |
| 12 | Learns to manipulate Fits data format. | no preliminary preparation. | Öğretim Yöntemleri: Anlatım |
| 13 | Analysis of the astronomical satellites of Hubble, SPITZER, JWST. | no preliminary preparation. | Öğretim Yöntemleri: Anlatım |
| 14 | Analysis of the data in the astronomical satellites Hubble (HST), SPITZER, JWST | no preliminary preparation. | Öğretim Yöntemleri: Anlatım |
| 15 | Analysis of the data in the astronomical satellites CHANDRA | no preliminary preparation. | Öğretim Yöntemleri: Anlatım |
| 16 | Term Exams | Ölçme Yöntemleri: Ödev, Yazılı Sınav |
|
| 17 | Term Exams | Ölçme Yöntemleri: Ödev, Yazılı Sınav |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 5 | 70 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 15 | 15 |
| Final Exam | 1 | 30 | 30 |
| Total Workload (Hour) | 157 | ||
| Total Workload / 25 (h) | 6,28 | ||
| ECTS | 6 ECTS | ||