| Week | Topics |
|---|---|
| Week 1 (Jan 6-10) | Course overview |
| Week 2 (Jan 13-17) | Thinking about data |
| Week 3 (Jan 20-24) | Relational model |
| Week 4 (Jan 27-31) | Relational model |
| Week 5 (Feb 3-7) | Relational model |
| Week 6 (Feb 10-14) | Relational database management systems |
| Reading week (Feb 17-21) | |
| Week 7 (Feb 24-28) | Structured Query Language (SQL) |
| Week 8 (Mar 3-7) | Structured Query Language (SQL) |
| Week 9 (Mar 10-14) | Free lab time |
| Week 10 (Mar 17-21) | Document databases |
| Week 11 (Mar 24-28) | Graph databases |
| Week 12 (Mar 31-Apr 4) | Course wrap-up |
Data Management
Course overview
This course (and this accompanying website) is designed to provide a practical introduction to data management. It is a hands-on course in which you will get comfortable working with data, with a focus on data structures and database design. After completing this course, you hopefully will have a better understanding of how data infrastructures support the organizations, websites and applications that we use every day and feel confident in your ability to work with data and design effective databases that meet the needs of your users.
Note
This book can be accessed directly from your browser (without going through Brightspace) using the following URL: https://pmongeon.github.io/info6540/
Schedule
Assignments
Important
Use the course’s BrightSpace to:
Access the syllabus (under the content - overview tab).
Access assignments instructions and due dates.
Submit your assignments.