None
Course Number:
CSCI 5095
Approved Starting Semester:
Fall 2022
Course Title:
Data Mining Project
Course Description (Bulletin Description):
Students will work on an appropriate research project in data mining and use practical data mining systems to discover patterns from real business data. They will also evaluate and interpret these mined patterns.
Prerequisite:
CSCI 5080
Co-requisite:
None
Pre/Co-requisite::
None
Dual-Listed:
None
Course Objectives (Course-level Student Learning Outcomes):
1. The learner will explain the components of Business Intelligence (BI) (CO1) 2. The learner will construct BI models using SQL Server Data Tools (SSDT) (CO 2) 3. The learner will design apps for SQL Server Integration Services (SSIS) (CO3) 4. The learner will build BI semantic models using SQL Server Analysis Services (SSAS) (CO 4) 5. The learner will create data mining models SSDT (CO 5) 6. The learner will apply BI client tools to assess the results (CO 6)
Topics Covered (In Outline/Calendar):
See previous submission
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, research project
Textbook(s):
Spring 2026
---------------------------------
Title: Learn Microsoft Power BI: A comprehensive, beginner-friendly guide to real-world business intelligence
Edition: 3rd
Author: Greg Deckler
Publisher: Packt Publishing
ISBN: 9781836647416
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