Please note that this schedule is subject to change.
Date | Topic | Readings | Assignments |
---|---|---|---|
1/11 | Introduction | ||
1/13 | Python | McKinney, Ch.2-3 | |
1/18 | No Class | ||
1/20 | Python | ||
1/25 | Structured Data | McKinney, Ch. 4 | A1 |
1/27 | Data and Pandas | McKinney, Ch. 5 | |
2/01 | Data Wrangling | McKinney, Ch. 6 | |
2/03 | Data Wrangling | Kandel et al. | A2 |
2/08 | Data Cleaning | McKinney, Ch. 7 | |
2/10 | Data Transformation | Jin et al. | |
2/15 | Data Transformation | McKinney, Ch. 8 | A3 |
2/17 | Test 1 | ||
2/22 | Data Integration | ||
2/24 | Data Fusion | Dong et al. | |
3/01 | Data Exploration | Chapman et al. | |
3/03 | Data Curation | Wilkinson et al. | A4 |
3/08 | Data Citation | ||
3/10 | Scalable Databases | Lakshman & Malik | |
3/15 | Scalable Databases | Corbett et al. | |
3/17 | Graph Data | Angles | |
3/22 | Databases and Visualization | Liu et al. | |
3/24 | Spatial Data | Lins et al. | |
3/29 | Test 2 | ||
3/31 | No Class | ||
4/05 | Time Series Data | McKinney, Ch. 11 | A5 |
4/07 | Provenance | Freire et al. | |
4/12 | Provenance | Freire et al. 2 | |
4/14 | Reproducibility | Collberg & Proebsting | |
4/19 | Databases and Machine Learning | Kraska et al. | |
4/21 | Review | ||
4/26 | Final Exam (4-5:50pm) |