Eskisehir Technical University Info Package Eskisehir Technical University Info Package
  • Info on the Institution
  • Info on Degree Programmes
  • Info for Students
  • Türkçe
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 Computer And Information Technologies
  • Artificial Intelligence And Machine Learning Pr. (English)
  • Course Structure Diagram with Credits
  • Statistics
  • 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 Outcomes123456789101112
Explain fundamental statistical concepts and data analysis methods.131313111212
Present data using appropriate graphs and tables322122122121
Apply hypothesis tests and interpret the results.221213221212
Model relationships between variables through regression analysis.221213221212
Perform statistical analyses using software (Excel, R, Python). 233212222232
  • Info on the Institution
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  • ECTS Credit Allocation
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  • PhD / Proficiency in Art
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