CSYS 5870 A (CRN: 12677)
Complex Systems: Data Science I (A)
3 credit hours
For crosslists see:
About CSYS 5870 A
Data harvesting, cleaning, and summarizing; working with non-traditional, non-numeric data (social network, natural language textual data, etc.); scientific visualization; advanced data pipelines with a practical focus on real datasets and developing good habits for rigorous and reproducible computational science; Project-based. Credit not awarded for both CSYS 5870 and CS 3870. Prerequisites: Knowledge of CS 1210 and either STAT 1410 or STAT 2430 required; knowledge of CS 2100 and MATH 2522 or MATH 2544 recommended; Graduate student or Instructor permission. Cross-listed with: STAT 5870, CS 5870.
Notes
Graduate student or instructor permission; Knowledge of CS 1210 and either STAT 1410 or STAT 2430; CS 2100 and MATH 2522 or MATH 2544 recommended; Cross-listed with CS 5870 A and STAT 5870 A; Total combined enrollment: 40; PACE students with permission and override
Syllabus Unavailable
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