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 Flight Training
  • Master of Science (MS) Degree
  • Course Structure Diagram with Credits
  • Machine Learning in Aeronautics
  • Learning Outcomes & Program Qualifications
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications
0 : Does not support   1 : Low-level support   2 : Mid-level support   3 : Top level support
Learning Outcomes123456789101112
To learn Python basics. To understand the relationship between data samples by using regression algorithms. To classify the data with classification algorithms. Clustering the data with unsupervised learning. To relate the nonlinear mapping between input and output of artificial neural networks. To apply algorithms and analyze the data on aeronautics dataset such as sample FDR (fligt data recorder). ------------
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  • Doctorate Degree / Proficieny in Arts
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