FYS301A Spectroscopy of Biological Materials and Data Analysis


Ansvarlig fakultet:Fakultet for realfag og teknologi

Emneansvarlig:Achim Kohler

Campus / nettbasert:Undervises campus Ås

Undervisningens språk:Engelsk

Antall plasser:25


Forventet arbeidsmengde:125 hours including structured teaching, pre-courses and seminars.

Undervisnings- og vurderingsperiode:June block

Om dette emnet

The course is taught in June and is a part of the BioSpec Summer School. Pre-courses need to be delivered before the start of the summer school. See https://www.nmbu.no/en/faculty/realtek/research/groups/biospectroscopy/summerschool for teaching period.

For the BioSpec Summer School, lectures and tutorials will be evenly spread throughout the teaching period. The course covers the principles of spectroscopy and data science for analysis of data from biophotonics. It gives an introduction to biological data obtained with analytical methods, with a special focus on spectroscopy. The course contains training in data analysis through tutorials and working as an expert in a multidisciplinary team. Furthermore, special focus will be given on the development of personal presentation skills.

The course covers:

  • Spectroscopic techniques
  • Analytical methods in biology
  • Principal Component Analysis
  • Basic methods of pre-processing for spectroscopic data
  • Advanced pre-processing methods such as Mie correction and fringes correction
  • Multivariate methods for clustering
  • Basic regression
  • Machine learning methods for regression and classification
  • Deep learning methods
  • Data analysis of hyperspectral images
  • Introduction to the machine learning software platform Orange/Quasar

Dette lærer du

  • Gain multidisciplinary knowledge in biology, spectroscopy and data analysis.
  • Improve theoretical and practical knowledge in data analysis of high-dimensional biological data including hyperspectral imaging data.
  • Acquire skills for working in an international and multidisciplinary team.
  • Acquire presentation skills through presenting the results of the course project.
  • Improve theoretical and practical knowledge within biophotonics and gain an overview of the analytical methods used in the field.
  • Improve theoretical knowledge in the interaction between light and biological matter.
  • Get insight into how the discipline has evolved and impacted society through invited lectures about applications of biophotoncis and data science.
  • Be able to carry out interdisciplinary analyses with colleagues from other academic fields.
  • Acquire skills to analyze and critically evaluate various sources of information and use them to structure and formulate scholarly arguments.
  • Improve communication skills about academic issues, analyses and conclusions in the field, both with specialists and the general public.
  • PRE-COURSE: Lectures and exercises.LECTURES: The lectures present the central ideas, theory and examples.TUTORIALS: The tutorials contain exercises for hands on training of data analytical tools with relevant data from biology and spectroscopy. The assistant teachers take part in discussions. PRESENTATION: Students present in groups the outcome of the tutorials where they have worked on one relevant data set from biology and where they under supervision answer research questions related to the data. INDEPENDENT STUDY IN AN TEAM OF EXPERTS: Students work as experts in an interdisciplinary team where they discuss and analyse a data set. They perform a limited research project under supervision with colleagues from other academic fields. The result is presented and evaluated.
  • List will be handed out during the first lecture.
  • Students need to have a bachelor’s degree in natural sciences.
  • (1) Pre-course exercises need to be passed

    (2) Final presentation of tutorials and presentations from work done in Expert in a team at the Summer School

    (3) Individual report should be delivered on selected modules from Summer School

    The final grade will be based on the individual grades given for (2)-(3).

    Mappevurdering Karakterregel: Bestått/ Ikke bestått
  • The examiner will evaluate the course, participate in the presentations and ask questions.
  • Lectures (pre-course and course week), tutorials, group work and seminars.
  • The course contains lectures and tutorials in the June block.
  • Master students in photonics have priority.
  • Full overlap between FYS301A and FYS301 and FYS401.

    FYS301A is a 5 credit subset of FYS301.

  • Bachelor in natural sciences