DAT60300 - Architectures and Methods for Data Mining

(3 units)

This course will introduce the core data mining concepts and practical skills for applying data mining techniques to solve real-world problems. Topics cover major data mining problems as different types of computational tasks (prediction, classification, clustering, etc.) and the algorithms appropriate for addressing these tasks, as well as systematic evaluation and model assessment.

In addition to the classroom instruction, students are required to get real-World experience through a practicum in an approved organizational setting for 100 - 160 hours. However, if a student is unable to secure a practicum site, another option such as a project will be made available to them to ensure they meet the course requirements through an applied project designed with the instructor. (International students need to meet their international student advisor for details).
Prerequisites: DAT60200