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Course Catalog


Department: Biostatistics
Term: Winter Inst. term
Credits: 2 credits
Contact: Andrew Jaffe
Academic Year: 2013 - 2014
Course Instructor:

Provides “hands-on” training for analyzing data in the R statistical software package, a popular open-source solution for data analysis and visualization. Covers data input/output, data management and manipulation, and constructing useful and informative graphics. Geared towards individuals who have never used R. Consists of a 90 minute “interactive” lecture followed by a 2 hour lab, where students apply the skills taught in the lecture to real data.

Learning Objective(s):
Upon successfully completing this course, students will be able to:
Read multiple data formats into R
Recode and manipulate data
Write custom R functions and use add-on packages
Make exploratory and customizable plots
Perform, interpret, and visualize basic statistical tests
Use basic “programming” syntax

Methods of Assessment: Attendance/participating in lectures (20%), 3 take-home assignments (15% each; 45% total), 1 final take-home project (35%)
Location: East Baltimore
Class Times:
  • Mon 01/06/2014 - Fri 01/10/2014
  • Monday 8:30 - 12:00
  • Tuesday 8:30 - 12:00
  • Wednesday 8:30 - 12:00
  • Thursday 8:30 - 12:00
  • Friday 8:30 - 12:00
Enrollment Minimum: 10
Enrollment Maximum: 50
Instructor Consent: Consent required for some students

Consent required for degree students.

For consent, contact:

Previous exposure to hypothesis testing and statistical modeling

Auditors Allowed: Yes, with instructor consent
Grading Restriction: Letter Grade or Pass/Fail