(3 units). Big data, analytics, and cloud computing; data preparation: organization, basic statistics, cleaning, and integration; data mining techniques: pattern mining, classification, clustering, outlier and anomaly detection; model evaluation; data warehousing and multi-dimensional analysis; data visualization and visual data analytics. Course Component: Lecture Prerequisites: CSI 2132, (CSI 3120 or SEG 2106), MAT 2377 or (MAT 2371 and MAT 2375).
(3 units). Big data, analytics, and cloud computing; data preparation: organization, basic statistics, cleaning, and integration; data mining techniques: pattern mining, classification, clustering, outlier and anomaly detection; model evaluation; data warehousing and multi-dimensional analysis; data visualization and visual data analytics. Course Component: Lecture Prerequisites: CSI 2132, (CSI 3120 or SEG 2106), MAT 2377 or (MAT 2371 and MAT 2375).
