ACS 6810:HPC Data Warehousing and Mining

3 Class Hours 0 Laboratory Hours 3 Credit Hours
Prerequisite: Graduate-level Admission
This course covers concepts, techniques, and applications of data warehousing and data mining. Topics discussed in this course include: dimensional modeling, extraction-transformation-loading (ETL), online analytical processing (OLAP), classification, clustering, association mining, and regression analysis. Some advanced topics in machine learning will be also be discussed in class, such as kernel machines and deep learning.