BDSI Faculty and Topics

2020 Lecturers

Participants attend lectures Monday through Friday mornings taught by UM faculty members and graduate students from biostatistics, information science, statistics, electrical engineering & computer science, and more:

2020 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