**This page is currently under construction**
Links to the course material will be provided in the schedule below
after each class.
You may want to have a look at the
[previous edition of the course](http://coltekin.net/cagri/courses/snlp2020/)
for reference.
## The course schedule
| Week | Monday | Wednesday | Friday |
|---|---|---|---|
| 01 | Apr 19 No class |
Apr 21 Introduction, organization |
Apr 23 Math preliminaries |
| 02 | Apr 26 Probability thory |
Apr 28 Information thory |
Apr 30 Machine learning intro |
| 03 | May 03 ML intro |
May 05 Classification |
May 07 TBA |
| 04 | May 10 Classification |
May 12 ML evaluation |
May 14 TBA |
| 05 | May 17 ML evaluation |
May 19 Interim sumamry |
May 21 TBA |
| May 24 semester break |
May 26 semester break |
May 28 semester break |
|
| 06 | May 31 Artificial Neural Networks |
Jun 02 ANNs |
Jun 04 TBA |
| 07 | Jun 07 Unsupervised ML |
Jun 09 Unsupervised ML |
Jun 11 TBA |
| 08 | Jun 14 Dense vector representations |
Jun 16 Sequence learning |
Jun 18 TBA |
| 09 | Jun 21 Sequence learning |
Jun 23 Sequential ANNs |
Jun 25 TBA |
| 10 | Jun 28 Sequential ANNs |
Jun 30 Language models |
Jul 02 TBA |
| 11 | Jul 05 Neural language models |
Jul 07 Tokenization / segmentation |
Jul 09 TBA |
| 12 | Jul 12 POS Tagging & morphology |
Jul 14 Text classification |
Jul 16 TBA |
| 13 | Jul 19 Statistical parsing |
Jul 21 Statistical parsing |
Jul 23 TBA |
| 14 | Jul 26 Summary |
Jul 28 Exam discussion / preparation |
Jul 30 Exam |