Introduction to Big Data Algorithms
Schedule
| Date | Topic | Material | Further Reading |
|---|---|---|---|
| 03.03. | Preliminary Meeting / Probability Theory | Slides Introduction Slides Probability Theory | |
| 05.03. | Probability Theory | Slides Probability Theory | |
| 10.03. | Probability Theory / Discussion of Homework | Slides Probability Theory | |
| 12.03. | Streaming Model / Reservoir Sampling | Handwritten notes | Lecture notes by Ali Vakilian |
| 17.03. | Reservoir Sampling / Median Estimation | Handwritten notes | Lecture notes by Ali Vakilian Lecture notes by Ali Vakilian |
| 19.03. | Discussion of Homework | Handwritten notes | |
| 24.03. | Morris Counter / Variance Reduction | Handwritten notes | Lecture notes by Ali Vakilian Lecture notes by Amit Chakrabarti |
| 26.03. | No class | ||
| 14.04. | Median Trick / Distinct Elements | Handwritten notes | Lecture notes by Ali Vakilian Lecture notes by Amit Chakrabarti |
| 16.04. | Distinct Elements / Majority Element | Handwritten notes | Lecture notes by Amit Chakrabarti Lecture notes by Ali Vakilian |