The group is involved in teaching on several campus and internet-based courses at Uppsala University, including on the Master of Science Programme in Pharmacy, the Master’s Programme in Pharmaceutical Modelling, the Master’s Programme in Bioinformatics, the Master of Science Programme in Molecular Biotechnology, and the Bachelor of Science Programme in Pharmacy.
Lab automation for life sciences, 7.5 credits
This campus course is given as an free standing course with the aim to introduce lab automation with practical exercises using robotized lab equipment such as pipetting robots, robot arms, and automated microscopes. The course will be given for the first time in Fall 2022.
Artificial Intelligence in drug discovery, 7.5 credits
This distance-based course is given as a free standing course aimed at everyone who would like to get an introduction to AI in drug discovery, wit ha focus on opportunities with AI. Practical exercises are focused on making predictions and interpreting results. No programming experience required. The course will be given for the first time in Fall 2022.
We are responsible for the following undergraduate courses:
Big Data in Life Science, 5 credits
This campus course is given as an elective course on the Masters programs in Molecular Biotechnology and Bioinformatics at Uppsala University. It comprises methodology in life science applications where concepts and methods for large scale data management are used. Technologies such as computer clusters, virtualization and cloud computing, workflows, containers, large-scale storage are introduced with practical exercises in life science applications.
Pharmaceutical Bioinformatics with Sequence Analysis, 7.5 credits
This campus course is given as part of the Masters program in Pharmaceutical Modeling at Uppsala University and contains the representation of biological and chemical data in computers, introduction to biological and chemical databases, theory and methods for analysis of experimental data, predictive modeling and validation, structure-activity relationships, and basic sequence analysis including data from next-generation sequencing.
Pharmaceutical Bioinformatics, 7.5 credits
This introductory internet-based course aims to provide basic knowledge of how bioinformatics tools can be used to solve problems within pharmacology, pharmacy, and pharmaceutical chemistry.
Applied Pharmaceutical Bioinformatics, 5 credits
This internet-based course is a continuation of the Pharmaceutical Bioinformatics course with focus on practical applications and a continuation of how to use predictive statistical modelling methods, primarily directed to applications in the pharmaceutical field.
Applied Pharmaceutical Structural Bioinformatics, 5 credits
This internet-based course includes solving practical problems in pharmacology, life sciences and bioinformatics using free software and databases relating to the structure of functional proteins and drug targets.
We are also involved in teaching on the following courses:
Pharmaceutical Molecular Biology with Bioinformatics
This is a campus course on the Master of Science Programme in Pharmacy that contains an introduction to molecular biology with a focus on pharmaceutical science. Our group is responsible for the Bioinformatics part.
Introduction to Programming in Python and R for Bioscience
This campus course on the Masters program in Pharmaceutical Modeling at Uppsala University is an introductory course to programming in Python and R. Our group is responsible for the Python part of the course.
Statistics and Prediction in the Pharmaceutical Sciences
This campus course on the Masters program in Pharmaceutical Modeling at Uppsala University is an introductory course to statistics that also introduces supervised/unsupervised (machine) learning.
Infection Biology and Molecular Genetics with Focus on Drug Therapy
This is a campus course on the Bachelor Programme in Pharmacy. Our group is responsible for an introduction to Bioinformatics.
Molecular Biology with Focus on Drug Therapy
This campus course on the Bachelor of Science Programme presents an introduction to molecular biology. Our group is responsible for an introductory bioinformatics part of the course.
See also the pharmbio.org website with more information about the elective internet-based courses in pharmaceutical bioinformatics.