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
  • Faculty Of Computer And Information Technologies
  • Artificial Intelligence And Machine Learning Pr. (English)
  • Course Structure Diagram with Credits
  • Scientific Computing Techniques
  • Learning Outcomes & Program Qualifications
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
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  • ECTS Credit Load
0 : Does not support   1 : Low-level support   2 : Mid-level support   3 : Top level support
Learning Outcomes123456789101112
Perform vector and matrix operations using the NumPy library (unlike loops in C).333202221012
Visualize scientific data using Matplotlib (lines, scatter plots, etc.).211203211312
Explain sources of error in numerical computations (truncation, round-off).233101221101
Solve systems of linear equations and fit curves using least squares with SciPy.------------
Apply interpolation (Lagrange, Spline) to data points.------------
Apply basic numerical differentiation and integration methods (Trapezoidal, Simpson).\n------------
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