Important Dates
- 01/30 Deadline: Form groups
- 01/30 10:00am until 02/01 1pm Select literature review papers
- 02/22 - Literature review - Read the paper and determine the structure of the report and meet with Prof./TA to discuss structure
- 02/22 - Data Curation Project - Select what dataset (sources to use) and discuss with Prof./TA
- 03/19 1:50pm - 3:50pm Midterm Exam, Stuart Building 104
- 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.
- 04/27 - Literature review and Data Curation Project - Final reports due
- 04/27 - Literature review and Data Curation Project - presentations, TBA
- 05/03 Final Exam, SB 104, 10:30-12:30
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 |
---|---|---|---|
01/08 | 0. Overview | slides or handout (6 slides per page) | |
01/10 | 1. Introduction | slides or handout (6 slides per page) | Reading book chapters 2.1-2.3,4.2,11.1 |
01/17 | |||
01/22 | |||
01/24 | 2. Data Preparation and Cleaning | slides or handout (6 slides per page) | Reading book chapters 7, 4 |
01/28 | |||
01/29 | |||
01/31 | 3. Schema matching and Mapping | slides or handout (6 slides per page) | Reading book chapters 3.1, 3.2, 5 |
02/05 | |||
02/07 | |||
02/12 | |||
02/14 | 4. Virtual Data Integration | slides or handout (6 slides per page) | Reading book chapters 2.4 |
02/21 | |||
02/26 | |||
02/28 | |||
03/05 | 5. Data Exchange | slides or handout (6 slides per page) | Reading book chapters 10.2 |
03/07 | |||
03/19 | Midterm | Info | |
03/21 | 6. Data Warehousing | slides or handout (6 slides per page) | |
03/26 | |||
03/28 | |||
04/02 | |||
04/04 | |||
04/09 | 7. Big Data Analytics | slides or handout (6 slides per page) | |
04/11 | |||
04/16 | |||
04/18 | 8. Data Provenance | Slides are excerpts from Introduction, Why-provenance, and Provenance polynomials | Reading book chapters 14 |
04/23 | |||
04/25 | |||
TBA | Paper and Project presentations | Info | |
TBA | Final Exam | Info |