140.776.01
Statistical Computing
Location
East Baltimore
Term
1st Term
Department
Biostatistics
Credit(s)
3
Academic Year
2017 - 2018
Instruction Method
TBD
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
Resources
Prerequisite
140.621 or equivalent
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:
- 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