January 10
                    
Finish Lecture 2
                    
Lecture 3: Nearest Neighbor Classifier
                    
Matlab Primer
January 14
                    
Intro to Matlab
                    
and finish Lecture 3
January 17
                    
Really finish Lecture 3
                    
and Lecture 4: Linear Classifier
January 21
                    
Continue Lecture 4
January 24
                    
Finish Lecture 4 and maybe start
January 28
                    
Lecture 5: Boosting
January 31
                    
Lecture 6: Neural Networks
February 4
                    
Finish Lecture 6 and
                    
Lecture 7: Cross Validation
February 7
                    
QUIZ 1
February 11
                    
Lecture 8: Introduction to Natural Language Processing and
                    
Lecture 9: Language Models
February 14
                    
Lecture 9
February 24
                    
Finish Lecture 9
February 28
                    
Lecture 10: POS tagging
March 4
                    
Finish lecture 10 and
                    
Lecture 11: Information Retrieval
March 7
                    
Finish lecture 11
March 11
                    
Lecture 12: CV: Filtering and
                    
Lecture 13: CV: Edge Detection
March 14
                    
Quiz 2
March 18
                    
Finish lecture 13 and
                    
Lecture 14: CV: Stereo
March 21
                    
Finish lecture 14
March 25
                    
Lecture 15: CV: Segmentation
March 28
                    
Continue Lecture 15
April 1
                    
Finish Lecture 15 and
                    
Lecture 16: CV: Motion
April 4
                    
Finish Lecture 16
April 8
                    
NO LECTURE
April 11
                    
QUIZ 3