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)