CSci 5521 Course Schedule:
Week 1 (Sep 7 – 10)
Both lectures synchronous
Introduction (Ch1); Supervised Learning (Ch2)
Week 2 (Sep 13 – 17)
Both lectures synchronous
Review on Linear Algebra; Review on Probability
Hw0 due (Tues, Sep 14)
Week 3 (Sep 20 – 24)
From this week, only Thurs lecture synchronous
Bayesian Decision Theory and Parametric Methods (Ch3,4); Multivariate Methods (Ch5)
Hw1 posted (Thurs, Sep 23)
Week 4 (Sep 27 – Oct 1)
Dimensionality Reduction (Ch6)
Quiz 1 (Thurs, Sep 30)
Week 5 (Oct 4 – 8)
Clustering (Ch7, (B*)Ch9)
Hw1 due (Wed, Oct 6)
Hw2 posted (Thurs, Oct 7) * (B) refers to Bishop book, and Alpaydin book otherwise.
Week 6 (Oct 11 – 15)
Non-parametric Methods (Ch8);
Quiz 2 (Thurs, Oct 14)
Week 7 (Oct 18 – 22)
Linear Discrimination (Ch10)
Hw2 due (Wed, Oct 20)
Week 8 (Oct 25 – 29)
Review;
Midterm (Thurs, Oct 28)
Week 9 (Nov 1 – 5)
Neural Networks I (Ch11)
Hw3 posted (Thurs, Nov 4)
Week 10 (Nov 8 – 12)
Neural Networks I (Ch11) – cont’d;
Neural Networks II (Modern Deep Learning)
Quiz 3 (Thurs, Nov 11)
Week 11 (Nov 15 – 19)
Kernel Machines (Ch13)
Hw3 due (Wed, Nov 17)
Week 12 (Nov 22 – 26) Thanksgiving break
Decision Trees and Random Forests (Ch9)
Week 13 (Nov 29 – Dec 3)
Bayesian Estimation (Ch16); Model Comparison and Case Studies
Hw4 posted (Thurs, Dec 2)
Week 14 (Dec 6 – 10)
Graphical Models (Ch14)
Quiz 4 (Thurs, Dec 9)
Week 15 (Dec 13 – 15)
Review
Hw4 due (Wed, Dec 15)
Study Days and Final Exam
Final exam (Date TBD)