The course is being delivered among the portfolio of courses offered by the Graduate School of Health of Aarhus University, and is open to students from other Universities in Denmark.
It is designed with a level of complexity appropriate to graduate students, and aims to cover the basics of NGS genome analysis, give an overview of the necessary bioinformatic tools and the design of the workflows; it is planned to include hands-on activities and case-study discussions.
Blended learning methods (by using blackboard, wikies, camtasia tutorials, and online engaging tools like Mentimeter) are an essential part of the teaching, in particular, in order to address the diverse backgrounds the students might come from, and level of information acquired before each class.
While online teaching will be focused on information delivery, immediate feedback and exercise, classes and hands-on activities are focused on activating the students and keeping them on track with the problem solving context of the whole course.
To me it was a very ambitious course since I am a MD and I don't have much of a bioinformatic background as did some of the other classmates. The energy and huge amount of time you have spent preparing this course and your very eagerness in helping us with any difficulties was very inspiring and definitely increased the output I gained. I didn't know Blackboard before the course but the setup there was very useful. (Student, 2016)
The course has been developed with 15 learning modules, exercises and tests on the online platform Blackboard (for an average of 36 hours of work), to accompany 28 hours of in-class activities, aimed at giving the students the necessary skills to analyse exome sequences and report clinical findings. The course awards 6.4 ECTS.