Difference between revisions of "Main Page"
From U-M Big Data Summer Institute Wiki
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=== Day 2: June 14 === | === Day 2: June 14 === | ||
| − | * [https://github.com/thejakeyboy/Python-Lectures Computing Platforms] - Jacob Abernethy, PhD | + | * [https://github.com/thejakeyboy/Python-Lectures Computing Platforms (website)] - Jacob Abernethy, PhD |
| − | * [https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=59e064c0-b252-4e24-a2eb-636b039c13a6 Introductory Statistics] - Bhramar Mukherjee, PhD | + | * [https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=59e064c0-b252-4e24-a2eb-636b039c13a6 Introductory Statistics (slides & audio)] - Bhramar Mukherjee, PhD |
=== Day 3: June 15 === | === Day 3: June 15 === | ||
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=== Day 4: June 16 === | === Day 4: June 16 === | ||
| − | * [https://github.com/thejakeyboy/Python-Lectures Data Structure using Python] - Jacob Abernethy, PhD | + | * [https://github.com/thejakeyboy/Python-Lectures Data Structure using Python (website)] - Jacob Abernethy, PhD |
| − | * [https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=329bb282-bb1f-41bf-838b-d152a1cddd61 Observational Data, Bias and Confounding] - | + | * [https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=329bb282-bb1f-41bf-838b-d152a1cddd61 Observational Data, Bias and Confounding (slides & audio)] - Roderick Little, PhD |
=== Day 5 June 17 === | === Day 5 June 17 === | ||
| − | * | + | * [https://github.com/thejakeyboy/Python-Lectures Data Structure using Python (website)] - Jacob Abernethy, PhD |
| + | * [https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=649853b9-0c90-4e6c-a087-5c8f4da1fa9d From Pure Mathematics to Gene Discovery: A Biostatistician's Journey (slides & audio)] - Michael Boehnke, PhD | ||
=== Day 6 June 20 === | === Day 6 June 20 === | ||
| − | * | + | * [https://drive.google.com/open?id=0B2ht_TCS6xC-YWNNSVJCUmtUMDQ Statistical Modeling using R (slides)] - Phil Boonstra, PhD |
| + | * [https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=a43dd502-ebe0-4f0e-829f-ce7bbe003283 Study Design and Inference (slides & audio] - Roderick Little, PhD | ||
=== Day 7 June 21 === | === Day 7 June 21 === | ||
| − | * | + | * [https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=6eaf5ffb-7df8-4daf-b4ac-117e251e47ce Visualization using R (slides & audio)] - Phil Boonstra, PhD |
| + | * [https://drive.google.com/open?id=0B2ht_TCS6xC-QXJ0NDNrOWNramc Distributed Computing (slides)] - Harsha Madhyastha, PhD | ||
=== Day 8 June 22 === | === Day 8 June 22 === | ||
| − | * | + | * [http://www.example.com link title] |
=== Day 9 June 23 === | === Day 9 June 23 === | ||
| − | * | + | * [https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=9b46b28b-f2ab-4f80-9f97-2935564fa81d Matrix Computation (audio)] - Jason Estes, Research Fellow in Biostatistics |
=== Day 10 June 24 === | === Day 10 June 24 === | ||
| − | * | + | * [https://drive.google.com/open?id=0B2ht_TCS6xC-ZUxZTDNQM0pMTG8 Career Journey and A Principal Approach to Dimensionality Reduction Part 1 (slides)] - Stephen Gliske, PhD |
| + | * [https://drive.google.com/open?id=0B2ht_TCS6xC-eHY1VlZpY2lDVm8 Career Journey and A Principal Approach to Dimensionality Reduction Part 2 (slides)] - Stephen Gliske, PhD | ||
| + | * [https://drive.google.com/open?id=0B2ht_TCS6xC-eW5CWU1oSzdoZms Career Journey and A Principal Approach to Dimensionality Reduction Part 3 (slides)] - Stephen Gliske, PhD | ||
=== Day 11 June 27 === | === Day 11 June 27 === | ||
| − | * | + | * [https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=ece7f762-1464-4e4d-8e50-6993e47ab8e5 Large Scale Optimization Part 1 (slides & audio)] - Tewari Ambuj, PhD |
| + | * [https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=ebc69ff7-50e4-42de-84a7-f71942b80672 link Causal Inference (audio)] - Lu Wang, PhD | ||
=== Day 12 June 28 === | === Day 12 June 28 === | ||
Revision as of 17:06, 6 July 2016
Welcome to the U-M Big Data 2016 Summer Program Wiki!
Consult the User's Guide for information on using the wiki software.
Contents
- 1 Reading Material
- 2 2016 Presentations
- 2.1 Day 1: June 13
- 2.2 Day 2: June 14
- 2.3 Day 3: June 15
- 2.4 Day 4: June 16
- 2.5 Day 5 June 17
- 2.6 Day 6 June 20
- 2.7 Day 7 June 21
- 2.8 Day 8 June 22
- 2.9 Day 9 June 23
- 2.10 Day 10 June 24
- 2.11 Day 11 June 27
- 2.12 Day 12 June 28
- 2.13 Day 13 June 29
- 2.14 Day 14 June 30
- 2.15 Day 15 July 1
- 2.16 Day 17 July 5
- 2.17 Day 18 July 6
- 3 Getting started
Reading Material
Data Mining Group
- Automatic Construction and Natural-Language Description
- Interestingness Measures for Data Mining a Survey
- Fast Algorithms for Mining Association Rules
EHR Group
- Statistical Inference, Learning and Models in Big Data
- USRDS 2015 Annual Data Report, Volume 1: Chronic Kidney Disease
- Dialysis Facility Characteristics and Services
- Data Dictionary for Quarterly Dialysis Facility Compare
- USRDS Introduction to Volume 1: CKD in the United States
Genomics Group
- A Global Reference for Human Genetic Variation
- A Map of Human Genome Variation from Population-Scale Sequencing
2016 Presentations
Day 1: June 13
- Orientation 2016 (slides) - Bhramar Mukherjee, PhD
- Welcome Reception (slides) - Bhramar Mukherjee, PhD
- Computing Resources (slides)
- Ethics Review (slides)
- On Being A Scientist (slides)
- Life in Ann Arbor (slides) - Evan Reynolds, Biostatistics PhD Student
Day 2: June 14
- Computing Platforms (website) - Jacob Abernethy, PhD
- Introductory Statistics (slides & audio) - Bhramar Mukherjee, PhD
Day 3: June 15
Day 4: June 16
- Data Structure using Python (website) - Jacob Abernethy, PhD
- Observational Data, Bias and Confounding (slides & audio) - Roderick Little, PhD
Day 5 June 17
- Data Structure using Python (website) - Jacob Abernethy, PhD
- From Pure Mathematics to Gene Discovery: A Biostatistician's Journey (slides & audio) - Michael Boehnke, PhD
Day 6 June 20
- Statistical Modeling using R (slides) - Phil Boonstra, PhD
- Study Design and Inference (slides & audio - Roderick Little, PhD
Day 7 June 21
- Visualization using R (slides & audio) - Phil Boonstra, PhD
- Distributed Computing (slides) - Harsha Madhyastha, PhD
Day 8 June 22
Day 9 June 23
- Matrix Computation (audio) - Jason Estes, Research Fellow in Biostatistics
Day 10 June 24
- Career Journey and A Principal Approach to Dimensionality Reduction Part 1 (slides) - Stephen Gliske, PhD
- Career Journey and A Principal Approach to Dimensionality Reduction Part 2 (slides) - Stephen Gliske, PhD
- Career Journey and A Principal Approach to Dimensionality Reduction Part 3 (slides) - Stephen Gliske, PhD
Day 11 June 27
- Large Scale Optimization Part 1 (slides & audio) - Tewari Ambuj, PhD
- link Causal Inference (audio) - Lu Wang, PhD
