BDSI Faculty and Topics

2018 Lecturers

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

2018 Topics

  • Data Acquisition, Database Management
  • Common computing platform, Linux environment
  • Data Structures
  • Data Security, Privacy and Linkage
  • Data Visualization
  • 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
  • Machine Learning, Graphical Models, Sparse Learning with Matrices, Social Network Analysis, Imaging