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