None
Course Number:
CSCI 5080
Approved Starting Semester:
Fall 2025
Course Title:
Data Mining
Course Description (Bulletin Description):
This course introduces basic data mining concepts, applications, and techniques. Students will explore the process of data mining, learn various data mining methods including clustering, decision trees, association rules, statistical learning tools, and will apply the techniques in solving practical problems using data mining systems.
Prerequisite:
CSCI 5010
Co-requisite:
None
Pre/Co-requisite::
None
Dual-Listed:
None
Course Objectives (Course-level Student Learning Outcomes):
1. Describe the concepts of data mining 2. Discuss the techniques of data visualization 3. Analyze data and discuss data preprocessing techniques 4. Explain and apply data warehouse technology 5. Apply frequent itemset mining methods 6. Discuss and apply classification method
Topics Covered (In Outline/Calendar):
See previous submissions
Student Learning Outcomes:
Not applicable for this course
Course Coordinator:
Dr. Jiang Li
Instructor-in-charge:
Dr. Jiang Li
Previous Professors:
Dr. Jiang Li
Technologies / Skills:
Data mining
Textbook(s):
Summer/Spring 2026
Title: Data Mining: Concepts and Techniques
Edition: 4th
Author: HAN
Publisher: Morgan Kaufmann
ISBN: 9780128117606
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