Week	Date	Contents	Links
1	04/08	Course Introduction A Whirlwind Tour of Python, Numpy and Matplotlib	Materials Videos
2	04/15	​Fundamentals and Landscape of Classical Machine Learning	Materials Videos​
3	04/29	​Classical Machine Learning for Classification and Regression ​(I)	Materials ​Videos
4	05/06	​Classical Machine Learning for Classification and Regression ​(II)	Materials ​Videos
5	06/03	Classical Machine Learning for Classification and Regression ​(III)	Materials Videos​
6	06/10	​Classical Machine Learning: Wrap Up	Materials Videos
-	06/17	​Break
-	06/24	Mid-Term Project Presentation (Highly Encouraged)
7	07/09	Fundamentals and Landscape of Deep Learning	Materials ​Videos
8	07/16	​Convolutional Neural Networks (I)	Materials ​Videos
9	07/23	​Convolutional Neural Networks (II)	Materials ​Videos
10	07/30	​​Convolutional Neural Networks (III)	Materials Videos
-	08/06	Term Project Review
-	08/13	Term Project Presentation