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Welcome to the U-M Big Data Summer Institute 2021 Wiki!

Electronic Health Records Group

Machine Learning Group

Imaging Group

Data Mining Group


Week 1

  • Study Design and Inference, Observational Data and Bias, Parameter Estimation and Likelihood - Dr. Rod Little
    -Part 1, Part 1 Slides
    -Part 2, Part 2 Slides
    -Part 3, Part 3 Slides
    -Part 4, Part 4 Slides
    -Part 5, Part 5 Slides
  • Linear Algebra - Lap Sum Chan
    -Linear Algebra Slides
  • Linear Regression - Fatema Shafie Khorassani
    -Linear Regression Slides
  • Probability - Rupam Bhattacharyya
    -Probability Slides
  • Data Wrangling in R with dplyr - Dr. Matthew Flickinger
    -Lecture Slides
  • Data Visualization in R with ggplot2 - Dr. Matthew Flickinger
    -Lecture Slides

Week 2

  • Machine Learning - Dr. Jenna Wiens
  • Data Mining - Jiong Zhu
  • Logistic Regression - Aubrey Annis
    -Logistic Regression Slides
  • Generalized Linear Models - Aubrey Annis
    -GLM Slides
  • R Markdown - Dr. Phil Boonstra
    -Synchronous Lecture Recording
    -R Markdown Slides
  • Python - Dr. Fred Feng
    -Synchronous Lecture Part I and II Recording
    -Synchronous Lecture Part III and IV Recording

Week 3

  • Assessment of Predictive Models - Dr. Phil Boonstra
  • Causal Inference - Dr. Walter Dempsey
  • Model Selection - Nicky Wakim
    -AUC/ROC Recording
    -Model Selection Slides
    -Annotated Model Selection Slides
  • Data Visualization Workshop
    -Synchronous Lecture Recording
    -Data Visualization Slides

Week 4

  • Introduction to Bayes - Dr. Xiaoquan William Wen
    -Intro to Bayes I Recording
    -Intro to Bayes II Recording
    -Intro to Bayes I Slides
    -Intro to Bayes II Slides
  • Missing Data - Dr. Peisong Han
  • Clustering - Fahad Kamran
    -Clustering I Recording
    -Clustering II Recording
    -Clustering I Slides
    -Clustering II Slides

Week 5

  • Social Networks - Dr. Eytan Adar
    -Social Network Slides
  • Electronic Health Records - Dr. Xu Shi
  • Genetics/Genomics - Dr. Jean Morrison
    -Genetics/Genomics Slides
  • Precision Health - Dr. Sachin Kheterpal

Week 6

  • Data Integration and Precision Medicine - Dr. Veera Baladandayuthapani
    -Bayesian Precision Medicine Slides
  • Health Disparities in Strokes - Dr. Lynda Lisabeth
    -Stroke Disparities Slides
  • Radiation Oncology - Dr. Arvind Rao
   -Radiation Oncology Slides
  • Better, Not Just Bigger Data Analytics - Dr. Brahmajee Nallamothu
  • Scientific Writing - Dr. Brett Griffiths
  • Pick Me! - Dr. Brett Griffiths

Week 7

  • Clinical Trials - Dr. Kelley Kidwell
    -Clinical Trials Slides
  • Microaggressions Workshop - Dr. Yatesha Robinson
    -Microaggressions Slides
  • Preparing for Graduate School - Dr. Kelley Kidwell
    -Preparing for Graduate School Slides
  • CVs and Resumes - Krystle Forbes
    -CVs and Resumes Slides


2021 Student Poster Presentations

Journey Lectures

Past BDSI Student Poster Presentations

2019 Student Poster Presentations

2018 Student Poster Presentations

2017 Student Poster Presentations

2019 Symposium Group Posters

2017 Symposium Group Posters

Additional Resources