STATISTICAL COMPUTING Syllabus
Course 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
- build and organize a software package with documentation for publishing on the internet
- Discuss and implement basic statistical computing algorithms
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, and literate statistical programming. Topics in statistical data analysis and optimization provide working examples.
Intended AudienceDegree candidates in the Department of Biostatistics
Methods of AssessmentMethod of student evaluation based on projects
Prerequisites140.621 or equivalent
Additional Faculty Notes:
There are no required texts for this class.
Please see the course Session for a full list of dates and items for this course.
Academic Ethics Code
Students enrolled in the Bloomberg School of Public Health of The Johns Hopkins University assume an obligation to conduct themselves in a manner appropriate to the University's mission as an institution of higher education. A student is obligated to refrain from acts which he or she knows, or under the circumstances has reason to know, impair the academic integrity of the University. Violations of academic integrity include, but are not limited to: cheating; plagiarism; knowingly furnishing false information to any agent of the University for inclusion in the academic record; violation of the rights and welfare of animal or human subjects in research; and misconduct as a member of either School or University committees or recognized groups or organizations.
Disability Support ServicesIf you are a student with a documented disability who requires an academic accommodation, please contact the Office of Student Life Services at 410-955-3034 or via email at email@example.com.