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Department: Biostatistics
Term: 1st term
Credits: 3 credits
Contact: Roger Peng
Academic Year: 2012 - 2013
Course Instructor:

Covers practical issues in statistical computing. Includes programming in R, calling complied code from R, accessing R libraries, creating R packages with documentation, programming in C, debugging, organizing and commenting code, working in Emacs, and LATEX typesetting. Topics in statistical data analysis and optimization provide working examples.

Learning Objective(s):
Upon successfully completing this course, students will be able to:
install and configure software necessary for a statistical programming environment
Discuss generic programming language concepts as they are implemented in a high-level statistical language
write and debug programs using R and C
build and organize a software package with documentation for publishing on the internet
Discuss and implement basic statistical computing algorithms for optimization, linear regression, and Monte Carlo

Methods of Assessment: Method of student evaluation based on projects
Location: East Baltimore
Class Times:
  • Tuesday 1:30 - 2:50
  • Thursday 1:30 - 2:50
Enrollment Minimum: 10
Instructor Consent: No consent required

140.621 or equivalent

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