Mar 29, 2024  
2018-2019 Graduate Catalog (As of 12-14-18) 
    
2018-2019 Graduate Catalog (As of 12-14-18) [ARCHIVED CATALOG]

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DATA 507 Scientific Computing in Data Science (3)

This course covers the role of the scientific method in applied data science with a focus on topics such as incomplete data, temporal cadence, systematic biases, rejection of outlier data, constraints on the mathematical modeling systems arising from underlying scientific considerations, experimental design, signal to noise, time-dependent modeling, ensemble modeling, statistical image analysis, and scientific numerical methods.
Prerequisite(s): DATA 505  and DATA 506  
Course Frequency: Occasional



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