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 |
|---|---|---|---|---|---|---|---|---|---|
| 32400D | 048 | Lecture | 3:30-6:50pm | Thursday | 30 of 40 | Christian Mattmann | RTH217 |   | |
| 32466D | 034 | Lecture | 3:30-6:50pm | Thursday | 10 of 11 | Christian Mattmann | DEN@Viterbi | |