Foundations of Data Science
Class Time: Monday 8:00-8:55, Tuesday 9:15-10:05, Wednesday 13:50-14:40
In this course we go over some of the mathematical framework that underlies data science and machine learning. Specifically, we cover basics of graphs, some statistical behaviours in high dimensions, and random graphs and their properties.
This class happens in conjuction with a practical class. Check this page for updates throughout the duration of this course.
A detailed syllabus can be found here. Please note that this document will be updated throughout this course.
There were no classes between 9-16th January. These classes will be made up for at a later date.
No classes on 23rd and 24th January due to Ignitors. No classes on 17th February and 18th Februaury 2023 due to annual sports meet and Mahashivratri respectively No class on 4th april due to Mahavir Jayanti
Click here to submit your topic for activity 2
Activity 2 Submission Submit by 10th march 11:59pm
Please submit your queries for practical class on 5th April here
Class Notes can be accessed below, and will be uploaded as the course progresses.
| Week | Class | Class Slides | Assignments | Submission Link | Resourses |
|---|---|---|---|---|---|
| Week 1 | No class | No Assignments | |||
| Week 2 | 18-1-23 | No Assignments | |||
| 20-1-23 | Slide 1 | ||||
| Week 3 | 25-1-23 | Slide 2 | No Assignments | ||
| Week 4 | 30-1-23 | ||||
| 31-1-23 | Slide 3 | ||||
| 1-2-23 | Slide4 | ||||
| Week 5 | 6-2-23 | ||||
| 7-2-23 | Slide 5 | Assignment announced in class | Submit here | ||
| Slide 6 | |||||
| Slide 7 |