Syllabus, schedule, notes
Below, you'll find links to the lecture and discussion notes.
The notes are in the form of HTML+JS+CSS browser-based slides [not PDF or ppt], but you can create PDFs out of them by 'printing to PDF' using Chrome [you might need to install a PDF driver], in 'landscape' [not 'portrait'] orientation.
At the end of each lecture, we will have a 'discussion' session. During discussion time, YOU [collectively speaking] need to be speaking (using your voice, or via chat) more than me :) I'll bring up open-ended questions, topics etc. for us to talk about. We'll try to cover new ground during this time, and not use it as a chance to go over all the existing slides; but, you can bring up questions from them if you want. The best use of the discussion slot is when we can discuss 'peripheral', and additional items, compared to lecture notes.
| Wk# | Topic[s] |
| 0 |
W: Introduction,
Discussion
R: Data modeling, Discussion |
| 1 |
M: E-R diagrams
T: E-E-R diagrams W: Relational model R: Normalization, Discussion |
| 2 |
M: Memorial Day - Holiday
T: SQL W: More SQL R: Transaction mgmt, Discussion |
| 3 |
M: Distributed DBs,
Discussion
T: DB connectivity, Discussion W: Performance tuning R: Midterm exam (class hours) |
| 4 |
M:
class cancelled
T: Business Intelligence W: Spatial DBs R: Big Data, NoSQL DBs |
| 5 |
M:
no class
T: MapReduce W: Data Science (DS), Data Mining (DM) R: Machine learning (ML) |
| 6 |
M:
Data viz, Data governance, etc., Review/wrap!
T: Final exam (class hours) |