140.776.01
Statistical Computing

Location
East Baltimore
Term
1st Term
Department
Biostatistics
Credit(s)
3
Academic Year
2012 - 2013
Instruction Method
TBD
Class Time(s)
Tu, Th, 1:30 - 2:50pm
Auditors Allowed
Yes, with instructor consent
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Roger Peng
Contact Name
Roger Peng
Frequency Schedule
Every Year
Prerequisite

140.621 or equivalent

Description
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 Objectives
Upon successfully completing this course, students will be able to:
  1. install and configure software necessary for a statistical programming environment
  2. Discuss generic programming language concepts as they are implemented in a high-level statistical language
  3. write and debug programs using R and C
  4. build and organize a software package with documentation for publishing on the internet
  5. Discuss and implement basic statistical computing algorithms for optimization, linear regression, and Monte Carlo
Instructor Consent
No consent required