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
  • Vocational School Of Information Technologies
  • Department Of Architecture And Urban Planning
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  • Course Structure Diagram with Credits
  • Statistics and Data Analysis
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title UCS1004 - Statistics and Data Analysis
Course Type Required Courses
Language of Instruction Türkçe
Laboratory + Practice 2+1
ECTS 3.0
Course Instructor(s)
Mode of Delivery Face to Face
Prerequisites
Courses Recomended
Required or Recommended Resources
Recommended Reading List
Assessment methods and criteria
Work Placement
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Definition of statistics, places of use, data collection methods
Week - 2 Basic statistical concepts
Week - 3 Graphical representation of data, understanding and interpretation of graphs and tables
Week - 4 Simple linear regression and correlation
Week - 5 Introduction to Spatial Statistics
Week - 6 Spatial Centralized Measurement Statistics
Week - 7 Dot Pattern Analysis
Week - 8 Applications 1
Week - 9 Spatial Autocorrelation
Week - 10 Regional Measures of Spatial Autocorrelation
Week - 11 Applications 2
Week - 12 Local Measurements of Spatial Autocorrelation
Week - 13 Classical Regression Model and Spatial Alternatives
Week - 14 Applications 3

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Demonstration
  • Drill - Practise
  • Competences
  • Questoning
  • Abstract analysis and synthesis
  • Problem solving

Assessment Methods

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