140.776.01 Statistical Computing
- Department:
- Biostatistics
- Term:
- 1st term
- Credits:
- 3 credits
- Academic Year:
- 2014 - 2015
- Location:
- East Baltimore
- Class Times:
-
- Tu Th, 1:30 - 2:50pm
- Auditors Allowed:
- Yes, with instructor consent
- Grading Restriction:
- Letter Grade or Pass/Fail
- Contact:
- Roger Peng
- Course Instructor :
- Resources:
- 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:
- 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
- Instructor Consent:
No consent required