Data Science 549:
Introduction to Computational Thinking and Data Science (4.0 units)
Introduction to data analysis techniques and associated computing concepts for non-programmers. Topics include foundations for data analysis, visualization, parallel processing, metadata, provenance and data stewardship. Recommended preparation: mathematics and logic undergraduate courses.
Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
---|---|---|---|---|---|---|---|---|---|
32411D | 048 | Lecture | 2:00-5:20pm | Tuesday | 14 of 50 | Ning Wang | OHE136 | PDF (301118 KB) | |
32438D | 048 | Lecture | 3:30-6:50pm | Tuesday | 46 of 70 | Luca Luceri | SLH200 | PDF (132363 KB) | |
32442D | 034 | Lecture | 2:00-5:20pm | Tuesday | 10 of 30 | Ning Wang | DEN@Viterbi | PDF (301118 KB) |