Course

Course Summary
Credit Type:
Course
ACE Course Number:
BISK-0164
Organization Course Number:
BAC002
Organization:
Location:
Classroom-based
Length:
8 weeks
Dates Offered:
Credit Recommendation & Competencies
Level Credits (SH) Subject
Lower-Division Baccalaureate 3 Introduction to Data Mining or Introduction to Data Science
Description

Objective:

The course objective is to provide the student with an in-depth understanding of data mining and management within the framework of business analytics.

Learning Outcomes:

  • Upon completion of the course, the student will be able to determine the difference between data and information
  • Explain the role of asking the right questions to extract data from a database
  • Recognize how the web works
  • Visualize the idea behind clustering
  • And compare and contrast classification and decision trees.
  • Evaluate alternative answers to questions to develop better strategies using data
  • Recognize the practical applications of the four Vs of big data

General Course Topics:

  • Enterprise database and data models
  • Extracting data from a database
  • Overview of the data analysis landscape
  • Getting data: social networks and geolocalization
  • Clustering and understanding the relation of things
  • Blackbox vs. whitebox approach and the implications
  • Classification blackbox method
  • Large-scale implementation: Hadoop and MapReduce
Instruction & Assessment

Instructional Strategies:

  • Audio Visual Materials
  • Discussion
  • Lectures

Methods of Assessment:

  • Quizzes

Minimum Passing Score:

70%
Supplemental Materials