SE512 - Data Mining for Software Engineering

General

Prefix
SE
Course Number
512
Course ID
00184665
Course Level
Graduate
Instruction Mode
Lecture
Department(s)
Computer Science/Information Technology
Description
Mining interesting information from large data sets. Statistical analysis and machine learning, data mining concepts and techniques, data representation and their similarity/dissimilarity measures, data pre-processing, frequent pattern mining, supervised and unsupervised modeling. Prereq.: SE 640.
Cross Listed Courses

Prerequisites

No Requisites

Credits

Min
3
Max
3
Repeatable
No

Goals and Diversity

MN Goal Course
No
MN Goal Designation(s)
-
Cultural Diversity
No

Learning Outcomes

Outcome
Identify data mining concepts and technologies.
Outcome
Identify the different types of data, their statistical description, and similarity/dissimilarity measures.
Outcome
Apply basic data pre-processing techniques.
Outcome
Derive interesting patterns using frequent pattern mining techniques.
Outcome
Apply and predict future instances using supervised learning techniques (classification),
Outcome
Apply cluster analysis techniques to group similar data (unsupervised learning).
Outcome
Use a variety of data mining tools.

Dependencies

No dependencies