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 |
---|---|---|---|---|---|---|---|---|---|
32430D | 048 | Lecture | 1:00-4:20pm | Friday | 77 of 80 | Deborah Khider | THH210 | PDF (64974 KB) | |
32410D | 048 | Lecture | 9:00-12:20pm | Monday | 52 of 53 | Gale Lucas | OHE100D | Word (58927 KB) | |
32411D | 034 | Lecture | 9:00-12:20pm | Monday | 18 of 20 | Gale Lucas | DEN@Viterbi | Word (58927 KB) |