Genetics and genomics
Summary
The theoretical part of this course covers classical genetics and contemporary genomics. Because bioinformatics has become important for genomic research, the course also includes practical applications to genomic analyses using Python, including group projects.
Learning Outcomes
By the end of the course, the student must be able to:
- Perform basic genomic analyses using Python (differential expression, association study, etc.)
Expected student activities
Exercises + group project in Python
Assessment methods
Written exam + report on a project in Python
In the programs
- Semester: Fall
- Exam form: Written (winter session)
- Subject examined: Genetics and genomics
- Lecture: 2 Hour(s) per week x 14 weeks
- Exercises: 1 Hour(s) per week x 14 weeks
- Project: 1 Hour(s) per week x 14 weeks
- Semester: Fall
- Exam form: Written (winter session)
- Subject examined: Genetics and genomics
- Lecture: 2 Hour(s) per week x 14 weeks
- Exercises: 1 Hour(s) per week x 14 weeks
- Project: 1 Hour(s) per week x 14 weeks
- Semester: Fall
- Exam form: Written (winter session)
- Subject examined: Genetics and genomics
- Lecture: 2 Hour(s) per week x 14 weeks
- Exercises: 1 Hour(s) per week x 14 weeks
- Project: 1 Hour(s) per week x 14 weeks