Course Description for:

• target audience
• learning objectives
• topics covered
• hardware requirements
• assessments

Course Material

• lecture notes
• data for lecture examples:
  • data and sup files from the book ‘Bioinformatics Data Skills’ by Vince Buffalo
  • github for lecture examples
• data & instructions for assignments and final project: via github classroom.
• canvas for course organization, schedule, assignments and grades
• communication: all via canvas announcements and discussions

Resources

• linuxcommand.org and bashguide
• Software Carpentry and last session at UW-Madison
• Reproducible Research by Karl Broman: talk and course
• Karl Broman’s excellent short tutorials on git/github, make, perl, and more.
• Bioinformatics Data Skills by Vince Buffalo
• Courses on the similar topic: ‘Statistical Computing’ @ CMU by Alex Reinhart and Christopher Genovese, Jenny Bryan’s STAT 545, UW/Fred Hutch MCB 536, EEOB/BCB 546X at Iowa State University