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
  • Data Acquisition and Processing
  • 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
Can programmatically collect data from websites and RESTful APIs using web scraping tools.302123102112
Can handle missing data and outliers in datasets using statistical methods.231213101012
Can scale data of varying sizes using normalization and standardization techniques.232303311012
Can reduce the dimensionality of high-dimensional data using methods such as PCA (Principal Component Analysis).233330322112
Can merge data in different formats (JSON, XML, CSV) and store it in non-relational databases (NoSQL).302113102013
Can process a raw dataset to perform Exploratory Data Analysis (EDA) and prepare a preprocessing report.331213102313
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