Exact topics and schedule subject to change, based on student interests and course discussions.

Date Topics Lectures Homeworks
8/26 Introduction
Slides

8/28 Linear Algebra 1
Slides

9/2 Linear Algebra 2

HW 1 Release
9/4 Optimization


9/9 Deterministic Representations


9/11 Data-Driven Representations


9/16 Non-Negative Matrix Factorization


9/18 Adaboost & Face Detection

HW 1 Deadline
9/23 Probability and Information Theory

HW 2 Release
9/25 Independent Component Analysis


9/30 Canonical Correlation Analysis


10/2 Clustering


10/7 Sparse and Overcomplete Representations & Dictionary Representations


10/9 Regression and Prediction

HW 2 Deadline
10/14 No Class (Why do you think)

HW 3 Release
10/16 No Class (What are you gonna do?)


10/21 Linear Classifier


10/23 Expectation Maximization 1


10/28 Expectation Maximization 2


10/30 Maximum Entropy Models


11/4 No Class (Democracy Day)


11/6 Factor Analysis

HW 3 Deadline & HW 4 Release
11/11 Hidden Markov Models


11/13 Auto Regressive Models


11/18 Kalman Filtering 1


11/20 Kalman Filtering 2


11/25 No Class (Thanksgiving)


12/2 Survival Analysis

HW 4 Deadline
12/9 Exam Week


12/11 Project Presentations


12/23 Project Presentations