CSE 621 - Advanced Data Mining

Institute of Science and Technology · Computer Science and Engineering (%30 English) · Master

ECTS: 7.5 T+P+L: 3+0+0 Departmental Elective
Coordinator:

Course Objective

 

Feature engineering methods, classification, and clustering methods, which are one of the data mining processes, are aimed to be processed with theoretical and practical applications.

Course Content

Feature engineering methods, classification and clustering processes, and mathematical models will be taught theoretically and practically.

Course Learning Outcomes

  1. Students will be able to apply data mining methods in obtaining valuable data from large-scale data.
  2. Students will be able to apply classification and clustering methods to produce meaningful results from valuable data.
  3. Students will be able to apply data mining steps in solving real life problems.
  4. Students will be able to produce the optimum solution of a complex problem.
  5. Students will be able to develop mathematical modeling according to the type of data available.

Core Area Distribution

(46) Mathematics and Statistics%40 (52) Engineering and Engineering Trades%60