Course website
Teachers
- Lea Taylor
- Stephanie Talker
- Lorenzo Raeli
Material
- This website
- Google doc (through mail)
Learning outcomes
The participants can expect to know what kind of data they might receive, how the data looks and potential pitfalls which might arise that are specific to immunological problems. Furthermore, the participants will have a base understanding of the expected cell types and their function in these datasets as well as understand the complexity of the immune system. Lastly, we will choose three cutting edge research topics to demonstrate how the methods are used and how the challenges in the analysis present themselves.
Learning experiences
To reach the learning outcomes we will use lectures, exercises, polls and group work. During exercises, you are free to discuss with other participants. During lectures, focus on the lecture only.
Exercises
Each block has practical work involved. Some more than others. The practicals are subdivided into chapters, and we’ll have a (short) discussion after each chapter. All answers to the practicals are incorporated, but they are hidden. Do the exercise first by yourself, before checking out the answer. If your answer is different from the answer in the practicals, try to figure out why they are different.
Asking questions
During lectures, you are encouraged to raise your hand if you have questions. We will also provide a Google doc where questions can be asked.