Memo Date:
Wednesday, December 9, 2015
To:
College of Computing & Informatics
From:
Office of Academic Affairs
Approved On: November 17, 2015
Approved by: Undergraduate Course and Curriculum Committee
Implementation Date: Spring 2016
Approved by: Undergraduate Course and Curriculum Committee
Implementation Date: Spring 2016
Note: Deletions are strikethroughs. Insertions are underlined.
Catalog Copy
ITCS 3162. Introduction to Data Mining (3) Prerequisite: ITCS 2214 (or ITCS 2215) and STAT 2122.
The key objectives of this course are two-fold: (1) to teach the basic concepts of data mining and (2) to provide extensive hands-on experience in applying the concepts to real-world business applications. This course will cover the following topics: Data Collection, Data Preprocessing, Data Exploration, Feature Engineering, Prediction Model, Clustering, Association Analysis, Graph/Network Analysis, Text Mining and Social Media Analysis, and Anomaly Detection. The course will be offered every Spring semester.