2017 Spring: BIODS 215

Welcome to BIODS215 Topics in Biomedical Data Science: Large-scale inference!

Teaching team

Instructors

Course content

# Date Lecturer Topic Lecture slides Readings Assignments
1 4/4/2017 Manuel Intro to biomedical data, computing, and data repositories slides D. Donoho. 50 years of Data Science  
2 4/6/2017 Manuel Model comparison and hypothesis testing slides(pdf), slides(html)    
3 4/11/2017 Manuel Meta-analysis and variance-components slides; sample codes    
4 4/13/2017 Manuel Regression - The Linear model slides; sample codes    
5 4/18/2017 James Z. Sampling algorithms for inference      
6 4/20/2017 Julia S. Permutation testing and monte carlo for p-value and FDR computation slides    
7 4/25/2017 Julia S Poisson Arrivals      
8 4/27/2017 Julia S Martingales     HW1 due 5/9/2017
9 5/2/2017 Manuel Hierarchical modeling slides    
10 5/4/2017 Manuel Mixture model case studies and computation slides    
11 5/9/2017 Manuel High-dimensional inference methods on summary statistics      
12 5/11/2017 Manuel, James, and Julia S Students present project plans      
13 5/16/2017 Prof. Julia Palacios Guest lecture: Gaussian Process regression supplementary materials    
14 5/18/2017 Prof. Julia Palacios Guest lecture: Gaussian Process regression supplementary materials   HW2 due 5/29/2017
15 5/23/2017 Julia S. Advanced modern topics in statistical cancer genomics (with normal population variation as controls)      
16 5/25/2017 James Z. Search engine data for public health      
17 5/30/2017 James Z. Deep learning      
18 6/1/2017 Manuel Inference, prediction, and risk modeling from biomedical data repositories      
19 6/6/2017 Manuel, James, Julia S Final Project presentations