BMI715 - Computing Skills for Biomedical Sciences (quarter course - 2 credits)

Faculty: Nils Gehlenborg, Peter Kharchenko

This course will prepare students for advanced graduate level classes that require practical programming and data analysis skills. The main focus of this course is to familiarize students with the R programming language, the command line on Linux-based systems, high performance computing environments, and fundamental data analysis approaches. The skills taught in this course will enable students to design and implement programs for reproducible data analysis, manage file-based data sets, apply basic statistical, algorithmic, and visual approaches for data interpretation, assemble basic analysis workflows, and execute analyses on a compute cluster. Students will be working with Jupyter Notebooks, RStudio, git, and bash.


Fall 1 Semester 2017 
Room: Modell 100A- Fred S. Rosen Lecture Hall

Meeting Times: Tuesday/Thursday 10AM-11:30AM
Meeting Dates: 

  • Week 1- 8/31                                   
  • Week 2- 9/5, 9/7     
  • Week 3- 9/12, 9/14                                    
  • Week 4- 9/19, 9/21                                    
  • Week 5- 9/26, 9/28                                   
  • Week 6- 10/3, 10/5                                    
  • Week 7- 10/10, 10/12    
  • Week 8- 10/17