Big Data Organization and Management
General
Prefix
SE
Course Number
413
Course Level
Undergraduate
Department/Unit(s)
College/School
College of Science and Engineering
Description
Data analytics concepts and techniques. Big-data features and representations, data collection and sampling, predicative modeling, frequent patterns, social networks analysis, data benchmarking and privacy, data modeling and documentation.
Prerequisites
Credits
Min
3
Max
3
Repeatable
No
Goals and Diversity
MN Goal Course
No
Cultural Diversity
No
Learning Outcomes
Outcome
Identify the characteristics of big data.
Outcome
Apply concepts of data collection, sampling, and pre-processing techniques.
Outcome
Apply predictive analysis techniques.
Outcome
Use descriptive analysis techniques, including association rules, sequence rules, and segmentation.
Outcome
Apply analysis to social networks.
Outcome
Evaluate benchmarking, data quality, privacy, software and model design and documentation.
Course Outline
Course Outline
Dependencies
Programs
SE413
is a
completion requirement
for: