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140.776.01
Statistical Computing

Location
East Baltimore
Term
1st Term
Department
Biostatistics
Credit(s)
3
Academic Year
2017 - 2018
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)
Contact Name
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, debugging, organizing and commenting code. 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