Lecture schedule

September 7, 2005	Introduction, overview of supervised learning; basic biology concepts
September 14, 2005	Overview of supervised learning
September 21, 2005	Linear methods in statistical learning I
September 28, 2005	Linear methods in statistical learning II
October 5, 2005	Statistical computing: Random variable generation; Computational methods for statistical inference: Intro
October 12, 2005	Statistical computing: Brief overview on Monte Carlo methods, Bootstrap, Jackknife, and permutation
October 19, 2005	No Class due to midterm week
October 26, 2005	Model assessment, selection
November 2, 2005	Model inference and averaging
November 9, 2005	Local regression, splines, and kernel methods	Lucy and Yixin presenting
November 16, 2005	Tree-based methods	Man Jin presenting
November 23, 2005	Support vector machine and nearest-neighbor methods	Yuejing presenting
November 30, 2005	Unsupervised learning (cancelled)
December 7, 2005	Unsupervised learning (cont'd)	Sean presenting