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Course Module Information
Course Modules
MA5108: Statistical Computing with R
Semester 1 | Credits: 5
This is a self-contained module designed to train the student into the use of applied statistical techniques in genomics. It overlaps with content in MA5111 (Genomics Data Analysis 1) reinforcing the use of R in genomics contexts. It consists of three parts (i) hypothesis testing (ii) statistical modeling and (iii) fundamentals in statistical computing. Extensive use is made of R in demonstrating and illustrating statistical concepts, and all examples are genomics related.
(Language of instruction: English)
Learning Outcomes
- Implement statistical solutions using the R statistics software ecosystem
- Understand the statistical properties of data & how to implement hypothesis testing
- Understand the sensitivity, specificity and power of a test, and how to determine these parameters
- Implement statistical models constructed from genomics datasets in R
- Understand and deploy linear and general linear models in R, including logistic regression and survival analysis
- Use R Markdown to prepare professional quality statistical reports, including appropriate plots/graphics
Assessments
- Continuous Assessment (100%)
Teachers
- CATHAL SEOIGHE:
Research Profile |
Email
- Pilib O Broin:
Research Profile |
Email
Note: Module offerings and details may be subject to change.