Course Description
This course provides an introduction to concepts and methods for extracting knowledge or other useful forms of information from data. This activity, also known under names including data mining, knowledge discovery, and exploratory data analysis, plays an important role in modern science, engineering, medicine, business, and government. Students will apply supervised and unsupervised automated learning methods to extract patterns, make predictions and identify groups from data. Students will also learn about the overall process of data collection and analysis that provides the setting for knowledge discovery, and concomitant issues of privacy and security. Examples and projects introduce the students to application areas including electronic commerce, information security, biology, and medicine. Students cannot get credit for both CSC 422 and CSC 522.
DE Fee
Engineering Online GRAD
DE Program
MS E
FALL 2019
Instructors
Classes Start:
August 21, 2019
Classes End:
December 6, 2019
Distance Education:
Yes
Class Type:
Lecture
Credits:
3.00
Delivery Method:
Internet
Restrictions:
ONLY distance-track students with grad standing in Computer Networking (CS or EE) or Computer Science may continue with registration. All other students must request enrollment through the EOL Registration System (http://go.ncsu.edu/eol_registration).
