BMI 713 - Computational Statistics for Biomedical Sciences

Faculty: Peter Park

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This course will provide a practical introduction to analysis of biological and biomedical data. Basic statistical techniques will be covered, including descriptive statistics, elements of probability, hypothesis testing, nonparametric methods, correlation analysis, and linear regression. Emphasis will be on how to choose appropriate statistical tests and how to assess statistical significance. To visualize data and carry out statistical testing, students will learn R, a powerful programming language for statistical computing and graphics. No previous knowledge in statistics or programming is required, although those with no programming experience will be expected to devote a significant amount of extra time. The class will be a combination of lecture and computer lab. This course is geared toward graduate students, but postdoctoral fellows and others are welcomed as space allows.

Fall 2 Semester 2017 
Room: Modell 100A- Fred S. Rosen Lecture Hall

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

  • Week 8- October 19                                   
  • Week 9- Oct. 24, 26          
  • Week 10- Oct 31, Nov. 2                                   
  • Week 11- Nov. 7, Nov. 9                                    
  • Week 12- Nov. 14, Nov. 16                                   
  • Week 13- November 21                                    
  • Week 14- Nov. 28, Nov. 30   
  • Week 15- Dec. 5, Dec. 7