BDSI Faculty and Topics

2019 Lecturers

Courses are taught by University of Michigan faculty members and graduate students from the Departments of Biostatistics, Electrical Engineering & Computer Science, and Statistics:

2019 Topics

  • Data Acquisition, Database Management
  • Common computing platform, Linux environment
  • Data Structures
  • Data Integration and Linkage
  • Data Visualization
  • Epidemiology
  • Probability and Statistical Inference
  • Cloud, Parallel and Distributed Computing
  • Optimization
  • Sampling Methods: Markov chain, Monte Carlo
  • Medical Informatics/Computing
  • Matrix Computation
  • Bias and Confounding, Missing Data, Causal Inference
  • Precision Medicine
  • Cardiovascular Health
  • Machine Learning, Graphical Models, Sparse Learning with Matrices, Social Network Analysis, Imaging