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SE 413. Big Data Organization and Management

Credits: 3
Department: Computer Science
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: CSCI 411, STAT 353
Semester Offered: DEMAND
Grading Method: ABCDF

Student Learning Outcomes

1. Identify the characteristics of big data
2. Apply concepts of data collection, sampling, and pre-processing techniques
3. Apply predictive analysis techniques
4. Use descriptive analysis techniques, including association rules, sequence rules, and segmentation
5. Apply analysis to social networks
6. Evaluate benchmarking, data quality, privacy, software and model design and documentation

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