January 9
Intro to Matlab
Matlab Primer
January 12
Lecture 3: Nearest Neighbor Classifier
January 15
Lecture 4: Linear Classifier
January 19
Continue Lecture 4
January 22
Lecture starts at 8:30
Lecture 5: Boosting
January 26
Lecture 6: Neural Networks
January 29
Lecture starts at 8:30
Finish Lecture 6 and
Lecture 7: Cross Validation
February 2
Lecture 8: Introduction to Natural Language Processing and
Lecture 9: Language Models
February 5
QUIZ 1
February 9
Finish Lecture 9
February 12
Lecture 10: Spelling Correction
February 23
Lecture 11: POS tagging
February 26
Finish Lecture 11 and start
Lecture 12: Information Retrieval
March 2
Finish lecture 12
March 5
Lecture 13: CV: Filtering
March 9
Finish Lecture 13 and
Lecture 14: CV: Edge Detection
March 12
Finish Lecture 14
March 16
NO LECTURE
March 19
Quiz 2
March 23
Lecture 15: CV: Segmentation
March 26
Continue Lecture 15
March 30
Finish Lecture 15 and
Lecture 16: CV: Stereo
April 2
Finish Lecture 16
April 6
QUIZ 3 from 9:30-10:30