Applied Pharmaceutical Bioinformatics, 5 credits

Academic year 2022/2023

  • Autumn 2022, Mixed, 50%, Distance learning

    Start date: 21 November 2022

    End date: 6 January 2023

    Application deadline: 19 April 2022

    Application code: UU-37313 Application

    Language of instruction: English

    Location: Flexible

    Selection: All qualified applicants will be admitted.

    Outline for distance course: The course is given as web-lectures, through down-loadable documents for self-studies and teacher-supervised exercises online through a web-based teaching platform, and through exercises that student solves on his own computer using software that can be downloaded from the net. The course has no fixed times and the student can carry out their duties at any time of each study week. Communication between teacher and student is via educational platform and via email. Written examination is performed online at the end of the course.

    Number of mandatory meetings on campus: 0

    Number of voluntary meetings on campus: 0

    Registration: 21 October 2022 – 21 December 2022

  • Spring 2023, Mixed, 50%, Distance learning

    Start date: 13 April 2023

    End date: 28 May 2023

    Application deadline: 17 October 2022

    Application code: UU-87313 Application

    Language of instruction: English

    Location: Flexible

    Selection: All qualified applicants will be admitted.

    Outline for distance course: The course is given as web-lectures, through down-loadable documents for self-studies and teacher-supervised exercises online through a web-based teaching platform, and through exercises that student solves on his own computer using software that can be downloaded from the net. The course has no fixed times and the student can carry out their duties at any time of each study week. Communication between teacher and student is via educational platform and via email. Written examination is performed online at the end of the course.

    Number of mandatory meetings on campus: 0

    Number of voluntary meetings on campus: 0

    Registration: 13 March 2023 – 13 May 2023

Entry requirements: 150 credits of which at least 60 credits in chemistry, biology, biochemistry, pharmacy, medicine or dentistry and at least 4 credits from Pharmaceutical Bioinformatics

Fees:

If you are not a citizen of a European Union (EU) or European Economic Area (EEA) country, or Switzerland, you are required to pay application or tuition fees. Formal exchange students will be exempted from tuition fees, as well as the application fee. Read more about fees.

Application fee: SEK 900

Tuition fee, first semester: SEK 12,083

Tuition fee, total: SEK 12,083

About the course

This course teaches how to solve practical problems in pharmacology, life sciences, chemistry and bioinformatics through predictive modelling. The course is a continuation of the course on Pharmaceutical Bioinformatics. The focus of this course is practical applications and continuation studies on how to use predictive statistical modelling methods, primarily directed to applications in the pharmaceutical field.

The course includes specifically:

  • Introduction to statistical modelling in pharmaceutical bioinformatics.
  • Continuation on QSAR and proteochemometrics and descriptors of proteins, peptides and organic molecules.
  • Managed and unmanaged methods for statistical modelling/analysis, such as PCA, PLS, SVM and random forest.
  • Cluster analysis; methods and tools.
  • Software for statistical modelling, such as R and Bioclipse.
  • Practical exercises on cluster analysis.
  • Practical exercises on the use of PCA, PLS, SVM and random forest.
  • Practical exercises in building QSAR and proteochemometrics models.

More information

Contact

Department of Pharmaceutical Biosciences

Biomedicinskt centrum BMC, Husargatan 3

Box 591, 751 24 UPPSALA

Jonathan Alvarsson

Email: jonathan.alvarsson@farmbio.uu.se