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
  • Remote Sensing And Geographic Information Systems Pr.
  • Course Structure Diagram with Credits
  • Statistics and Data Analysis
  • Learning Outcomes & Program Qualifications
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications
  • ECTS Credit Load
0 : Does not support   1 : Low-level support   2 : Mid-level support   3 : Top level support
Learning Outcomes123456
Students will be able to define the basic concepts of statistics and data collection methods; interpret graphs and tables by reading them.120201
Students will be able to evaluate the relationships between data by applying simple linear regression and correlation analysis.120201
Student will be able to explain the basic principles of spatial statistics and interpret central location measurements.220201
The student analyzes the spatial data structure by analyzing the concepts of point pattern analysis and spatial autocorrelation.230201
The student selects and applies appropriate methods by comparing local and regional measures of spatial autocorrelation.230201
Students will be able to compare classical regression models with spatial alternatives to determine the appropriate analysis model and apply it on spatial data.230201
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