Course manual 2021/2022
Objectives
- Explain the basic principles of transcriptomics technologies.
- Advanced scripting skills for the relevant programming languages; R and Linux bash.
- Explain the statistical concept(s) underlying to some selected relevant methods and tools that are used for transcriptomics data analysis.
- Explain the principles of some selected relevant bioinformatics methods and tools that are required for analyzing and interpreting large scale transcriptomics data sets.
- Demonstrate that he/she can use selected relevant bioinformatics methods and tools in a correct way, and such that answers can be formulated to biomedical research questions.
- Demonstrate that he/she can formulate data analysis questions, generate results, and interpret the results such that these data analysis questions can be answered.
- Demonstrate that he/she can experiment with large scale omics data sets in a data-driven research approach.
Learning activities
Activity | Hours |
Hoorcollege | 38 |
Laptopcollege | 113.75 |
Self study | 16.25 |
Total | 168 | (6 EC x 28 uur) |
Attendance
Requirements of the programme concerning attendance (OER-B):
- Attendance during practical components exercises is mandatory.
Assessment
Fraud and plagiarism
The 'Regulations governing fraud and plagiarism for UvA students' applies to this course. This will be monitored carefully. Upon suspicion of fraud or plagiarism the Examinations Board of the programme will be informed. For the 'Regulations governing fraud and plagiarism for UvA students' see: www.student.uva.nl
Course structure
| Weeknummer | Onderwerpen | Studiestof |
| 1 | | |
| 2 | | |
| 3 | | |
| 4 | | |
| 5 | | |
| 6 | | |
| 7 | | |
| 8 | | |
The schedule for this course is published on DataNose.
Coordinator