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
  • Graduate School of Sciences
  • Department of Avionics
  • Master of Science (MS) Degree
  • Course Structure Diagram with Credits
  • Data Analysis and Visualization Applications in Aviation
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title HEE5503 - Data Analysis and Visualization Applications in Aviation
Course Type Elective Courses
Language of Instruction Türkçe
Laboratory + Practice 3+0
ECTS 7.5
Course Instructor(s) DOKTOR ÖĞRETİM ÜYESİ ECE YURDUSEVİMLİ METİN
Mode of Delivery Face to face
Prerequisites no prerequisites
Courses Recomended No specific recommendations
Recommended Reading List Modern Data Analytics in Excel, George Mount, O\'Reilly, ISBN: 9781098148829Introducing Microsoft Power BI, Alberto Ferrari and Marco Russo, Microsoft Press ISBN: 978-1-5093-0228-4
Assessment methods and criteria 1 midterm, homework, final project
Work Placement Not supported
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Data focused strategy
Week - 2 Data Analytics with Excel
Week - 3 Data Analytics with Excel: Fundamental functions,
Week - 4 Descriptive Analytics
Week - 5 CRM analytics with Excel
Week - 6 SQL for data analytics
Week - 7 Azure Data Studio
Week - 8 Data Manipulation with SQL
Week - 9 DML-DDL operations
Week - 10 Power BI for data analytics and visualization
Week - 11 Data Storytelling and Visualization
Week - 12 Introduction to Python and Machine Learning for Data Analysis
Week - 13 Introduction to Python and Machine Learning for Data Analysis
Week - 14 Final projects

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Drill - Practise
  • Case Study
  • Problem Solving
  • Competences
  • Productive
  • Questoning
  • Entrepreneur
  • Follow ethical and moral rules
  • Effective use of a foreign language
  • Use time effectively
  • Abstract analysis and synthesis
  • Problem solving
  • To work autonomously
  • Elementary computing skills
  • Project Design and Management

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
Toplam (%) 0
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