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The course is practical and aims at teaching students how to:

  • Use the programming environment R and RStudio, which includes installation, how to handle errors, problem solve and access helper documents.
  • Use basic concepts of programming, such as data types, logical and arithmetic operators, if else conditions, loops and functions.
  • Use common R packages to perform basic statistical analysis (e.g., t-test, chi2-test, correlation) and visual presentation (e.g., boxplot, histogram and heat-map) of data in R.

The course is structured with the intent to gradually make students more autonomous in writing code. Starting by introducing a concept through a lecture, then providing formative quizzes and tasks relateed to the concept. This all leads up to a project (exam) where the student gets to combine multiple concepts into a project with the intent of solving a certain problem or displaying specific statistical tests of visual components. 

 

Course - 3.0 ECTS

Dive into the cutting-edge world of nuclear medicine with this comprehensive course that blends theory and hands-on practice. In this one-week course, you will gain invaluable knowledge and skills at the forefront of medical imaging and targeted radiopharmaceutical therapies.

This course offers a unique opportunity to:

  • Master the fundamentals of radiation physics and biology
  • Explore state-of-the-art diagnostic and therapeutic applications in oncology and neurology
  • Gain practical experience handling radiopharmaceuticals in a laboratory setting
  • Understand the latest developments in personalised medicine using radioactive tracers

Upon completing the course, you will be allowed to handle radiopharmaceuticals and open radioactive sources at Karolinska Institute and Karolinska University Hospital.

Course - 1.5 ECTS

The course is aimed for you who want to get an understanding of the principles of PET, the methodology used for neuroreceptor imaging and quantification, as well as to get an insight in important research ongoing in the field and in the clinical applications of PET.

Course - 2.5 ECTS