Important Dates
- 02/05 Deadline: Form groups
- 02/05 Select literature review papers
- 03/02 - Literature review - Read the paper and determine the structure of the report and meet with Prof./TA to discuss structure
- 03/02 - Data Curation Project - Select what dataset (sources to use) and discuss with Prof./TA
- 03/12 10:00am - 11:15am Midterm Exam, TBA
- 03/28 - Literature review - Initial draft of the reports due and first review meeting with Prof./TA
- 03/28 - Data Curation Project - Present the data quality problems you have identified and explain how you plan to solve them (meet with Prof./TA)
- 04/15 - Literature review and Data Curation Project - First draft of slides due for both and slide review meeting with Prof./TA. Show how you solved the data quality problems.
- 04/24 - Literature review and Data Curation Project - 10:00am - 12:00pm and 2pm - 4pmpresentations
- 04/30 - Literature review and Data Curation Project - Final versions due
- 05/04 Final Exam, 8:00am - 11:00am
Schedule
The course schedule and linked slides will be updated over time.
For convenience, here is a combined versions of all slides and all handouts (6 slides per page).
| Date | Topic/Task | Slides | Review |
|---|---|---|---|
| 01/14 | 0. Overview | slides or handout (6 slides per page) | |
| 01/16 | 1. Introduction | slides or handout (6 slides per page) | Reading book chapters 2.1-2.3,4.2,11.1 |
| 01/21 | |||
| 01/23 | |||
| 01/28 | 2. Data Preparation and Cleaning | slides or handout (6 slides per page) | Reading book chapters 7, 4 |
| 01/30 | |||
| 02/04 | |||
| 02/06 | 3. Schema matching and Mapping | slides or handout (6 slides per page) | Reading book chapters 3.1, 3.2, 5 |
| 02/11 | |||
| 02/13 | |||
| 02/18 | |||
| 02/20 | 4. Virtual Data Integration | slides or handout (6 slides per page) | Reading book chapters 2.4 |
| 02/25 | |||
| 02/27 | |||
| 03/03 | |||
| 03/05 | 5. Data Exchange | slides or handout (6 slides per page) | Reading book chapters 10.2 |
| 03/07 | |||
| 03/10 | 6. Data Warehousing | slides or handout (6 slides per page) | |
| 03/12 | Midterm | Info | |
| 03/24 | |||
| 03/26 | |||
| 04/02 | |||
| 04/07 | |||
| 04/09 | 7. Big Data Analytics | slides or handout (6 slides per page) | |
| 04/14 | |||
| 04/16 | |||
| 04/21 | 8. Data Provenance | slides or handout (6 slides per page). Old slides are excerpts from Introduction, Why-provenance, and Provenance polynomials | Reading book chapters 14 |
| 04/23 | |||
| 04/24 | Paper and Project presentations | Info | |
| 04/28 | |||
| 05/04 | Final Exam | Info |