Course

Course Summary
Credit Type:
Course
ACE ID:
STAT-0007
Organization:
Statistics.com
Location:
Classroom-based
Length:
4 weeks (60 hours)
Dates Offered:
Credit Recommendation & Competencies
Level Credits (SH) Subject
Upper-Division Baccalaureate 3 Data Mining or Computer Data Management
Description

Objective:

The course objective is to provide students with knowledge of two important concepts in datamining: rule induction (introduced through the industry standard method APRIORI), and classification learning (using two decision tree methods: C4.5 and CHAID). Some machine learning methods, such as PRISM and INDUCT will also be taught.

Learning Outcomes:

  • Understand the concept behind automated machine learning methods for generating recommendation systems and decision rules
  • Apply these methods

General Topics:

  • APRIORI associations probability in health and medicine
  • Classification via CHAID
  • Classification via C4.5 decision trees
  • Rule construction via covering algorithms
Instruction & Assessment

Instructional Strategies:

  • Audio Visual Materials
  • Case Studies
  • Computer Based Training
  • Discussion
  • Lectures
  • Practical Exercises

Methods of Assessment:

  • Examinations
  • Quizzes
Supplemental Materials