Calendar

Lec #	Topics	KEY DATES
1	Introduction to Course
2	Decision Analysis 1
3	Decision Analysis 2, Linear Regression
4	Predictive Modeling, Data Collection
5	Logistic Regression, MLE
6	Evaluation
7	Instance-based Models 1 - kNN
8	Instance-based Models 2 - Trees and Rules
9	Homework 2 - Trees and Rules
10	Ensemble Models
11	PCA, LDA
12	Unsupervised Learning
13	Neural Networks
14	Homework 2 - Trees and Rules	Assignment due
15	Review
16	Survival Analysis
	Midterm
17	Statistical Learning Theory
18	Model Construction Schemas 1
19	Model Construction Schemas 2
20	Preprocessing Algorithms 1
21	Preprocessing Algorithms 2
22	Analysis of Problems, Complexity
23	Search Algorithms
24	Bioinformatics 1 (Hypothesis Generation, Sequence Alignment)
25	Bioinformatics 2 (Phylogenetic Trees, Haplotype Tagging)
26	Student Project Presentation 1
27	Student Project Presentation 2