Informatics 550:
Overview of Data Informatics in Large Data Environments (3.0 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: Basic understanding of engineering and/or technology principles; basic programming skills; background in probability, statistics, linear algebra and machine learning.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 32400D | 048 | Lecture | 3:30-6:20pm | Monday | 35 of 35 | Seon Kim | THH119 | PDF (140624 KB) |    |