Eskisehir Technical University Info Package Eskisehir Technical University Info Package
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About the Program Educational Objectives Key Learning Outcomes Course Structure Diagram with Credits Field Qualifications Matrix of Course& Program Qualifications Matrix of Program Outcomes&Field Qualifications
  • Faculty of Science
  • Department of Physics
  • Course Structure Diagram with Credits
  • Observational Data Analysis in Astrophysic
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title FİZ439 - Observational Data Analysis in Astrophysic
Course Type Elective Courses
Language of Instruction Türkçe
Laboratory + Practice 2+0
ECTS 3.0
Course Instructor(s) DOKTOR ÖĞRETİM ÜYESİ METİN ALTAN
Mode of Delivery Face to face
Prerequisites There is no prerequisite for this course.
Courses Recomended None
Recommended Reading List Resources about astronomy and astrophysics will be helpful.
Assessment methods and criteria 1 midterm, 1 final, 1 homework.
Work Placement N/A
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Teaching basic physical principles of spherical astronomy
Week - 2 Teaching usage and structure of sky atlas and star maps
Week - 3 Teaching physical structure and properties of observatories
Week - 4 Teaching data analysis principles and physical properties of optical telescopes
Week - 5 Teaching data analysis principles and physical structure of radio telescopes
Week - 6 Teaching data analysis principles and physical structure of X-ray telescopes
Week - 7 Teaching data analysis principles and physical structure of Gamma ray telescopes
Week - 8 Teaching support equipment which is used in observational astrophysics
Week - 9 Teaching physical principles of CCD cameras which is used in astrophysics
Week - 10 Teaching physical principles of spectrographs which is used in astrophysics
Week - 11 Teaching data analysis principles and physical structure of solar telescopes
Week - 12 Teaching interaction mechanisms which is investigated in astrophysics
Week - 13 Teaching filters and its functions which is used in astrophysics
Week - 14 Teaching basic functions of astrophysical data analysis software

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Observation
  • Team/Group Work
  • Demonstration
  • Drill - Practise
  • Case Study
  • Problem Solving
  • Brain Storming
  • Proje Design/Management
  • Competences
  • Productive
  • Rational
  • Questoning
  • Creative
  • Work in teams
  • Use time effectively
  • Eleştirel düşünebilme
  • Abstract analysis and synthesis
  • Problem solving
  • Information Management
  • Elementary computing skills
  • Decision making
  • Project Design and Management

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
2.Midterm Exam 1 40
Final Exam 1 60
Toplam (%) 100
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