Course Description
Introduce data mining concepts and techniques such as Data Characterization, Data Preprocessing and performance evaluation. Discuss data mining tasks such as frequent pattern and association rule mining, clustering and outlier detection. Introduce machine learning models and algorithms such as multivariate regression, classification, deep learning, and feature engineering.
Course Outcomes
After completing the course, students should be able to:
1. Identify data measurement scale types and convert between scale types.
2. Demonstrate and apply data preprocessing methods.
3. Demonstrate and apply classification techniques.
4. Demonstrate and apply regression techniques.
5. Demonstrate and apply deep learning techniques.
6. Evaluate the performance of data mining and AI/machine learning models.
7. Discuss applications of Artificial Intelligence techniques in cybersecurity and related domains
8. Identify solutions to business problems by utilizing intelligent systems and machine learning.
