|Data warehousing and Data Mining||Hours: 3 0 3|
Concepts of Data mining and Data Warehousing, Data Preparation Techniques: outlier and missing data analysis, Data Reduction Techniques, learning methods in Data mining, Statistical Methods in Data Mining, Cluster Analysis, hierarchal, agglomerative and Na
|Pre-requisites: CS232||Co-requisites: none|
Hours: XYZ where X = Lecture, Y = Lab, Z = Credit
All hours are per week.
3 Lab hours constitute 1 credit hour
1 credit hour implies 1 lecture of 50mins per academic week. 16 weeks in total.
Pre-Requisite courses are courses required to be completed before this course may be taken
Co-Requisite courses are courses required to be taken along with this course