Attendees will be introduced to the basics in cell biology, machine learning and physics of infrared absorption, explained by renowned scientists in the corresponding fields. The main aim of the summer school is to provide experience in solving a complex research problem in a multidisciplinary team. Students in biology, physics and computer science will work together on a two-day project culminating in a project defense and a presentation session for early-stage researchers to share their research findings with other participants.
Hybrid: physical and digital presence
The summer school have been organized both physical (2018 and 2019) and digital (2020, 2021 and 2022) summer school.
The 2023-version of the summer school will be carried out as a combination between these, a hybrid summer school.
It will therefor be possible to join both digital and physical. The lectures will be streamed, and we will organize the group work in such a way that it will be possible to join all part of the summer school for both options.
Be aware that the summer school is intensive, you will need to be available from about 8:30 - 17:30* CEST every day. All activities are mandatory and we expect you to participate.
If you join the physical summer school you will need to bring your own computer, we will use the software Quasar.
For students joining online, you will need a stack internet connection and a camera so we can stay connected. You should check that your computer is able to use a video conference system (such as zoom) and the software tool Quasar at the same time. We recommend the use of two screens, if possible.
For NMBU students:
The summer school is a part of the NMBU-course FYS301/FYS401 (remember to select the correct teaching period), therefore free. The course consists of the summer school and project work in the following autumn semester.
NB! To register for these courses you need to be registered as an NMBU-student.
Please contact us if you have any questions.
Once you have registered and paid the fee, we will send you a link to the pre-course material. The pre-course consists of several videos you need to watch, and then you have to answer a test after each video. You won't be able to participate in the summer school unless you pass the pre-course.
The deadline for submitting the pre-course tests is induvidual for each module.
Note that the pre-course material is quite time consuming. Don't put it off until the last day.
I enjoyed working together with participants from different backgrounds, both academically and culturally. Together we were able to learn from each other, with guidance from knowledgeable tutors. The inspiring lecturers gave a sneak peek into their fields of work, and you got to see where you learned during the week can be applied in real life.Ingrid, student at BioSpec summer school 2020.
Temporary program and topics
The following topics will be covered during the summer school:
- Cell biology
- Spectroscopic methods
- Light scattering and pre-processing
- Data pre-treatment
- Analytical methods used in biology
- Basic regression, multi-block, PLS
- Machine learning
- Deep learning
- FTIR Imaging
Certain topics from cell biology, machine learning and spectroscopy will be covered extensively during the summer school. Participants are expected to have an intermediate-level English sufficient to participate and be successful in the learning process. Solid reasoning, ability to grasp quickly interdisciplinary relations and experience with group work is highly appreciated.
We want to have people from all natural sciences, and encourage you to register for the course.
Your completed study level needs to be bachelor or higher to attend the summer school.
A comprehensive and practical introduction to biological FTIR data processing and analysis. Very much recommended if you plan on applying IR spectroscopy to your own research.
Pyotr, student at BioSpec summer school 2020.
The summer school fee is 100 € for attending digitally; 200 € for attending physically. The cost covers course materials and administrative expenses.
We will host a couple of streams before the summer school where we will give information and answer questions. The streams will last about an hour. More information to follow.
We will let you know by e-mail if you have secured a spot once registration closes.
The summer school is supported by Diku, the Norwegian Agency for International Cooperation and Quality Enhancement in Higher Education through the project “Multidisciplinary graduate and post-graduate education in big data analysis for life sciences” Project Nr: CPEA-LT-2016/10126.
*Times might change at a later date.