SE513 - Big Data Organization and Management

General

Prefix
SE
Course Number
513
Course ID
00184719
Course Level
Graduate
Instruction Mode
Lecture
Department(s)
Computer Science/Information Technology
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. Prereq.: SE 512.
Cross Listed Courses

Prerequisites

No Requisites

Credits

Min
3
Max
3
Repeatable
No

Goals and Diversity

MN Goal Course
No
MN Goal Designation(s)
-
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.

Dependencies

No dependencies