Data Science 550:
Data Science at Scale (4.0 units)
Fundamentals of big data informatics techniques. Data lifecycle; the data scientist; machine learning; data mining; NoSQL databases; tools for storage/processing/analytics of large data set on clusters; in-data techniques. Recommended preparation: A basic understanding of engineering principles and programming language is desirable.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
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32404D | 048 | Lecture | 3:30-5:20pm | Mon, Wed | 29 of 35 | Seon Kim | VKC261 | PDF (256123 KB) |