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FBB3110 Computational Python 5.0 credits

Course offerings are missing for current or upcoming semesters.
Headings with content from the Course syllabus FBB3110 (Spring 2021–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

  • Python and its relationship to other programming languages
  • Programming environments for Python
  • Version control with git
  • Software testing with pytest
  • Data science libraries: numpy, scipy, pandas, matplotlib
  • Interfaces to compiled languages
  • Relational and document-oriented databases with Python
  • Methods in Python for concurrent programming: threading, multiprocessing, and asynchronous methods

Intended learning outcomes

After having completed the course the student will be able to

  • write programs in Python to solve problems in computational science
  • apply best practices in programming with respect to version control and testing
  • choose and apply data-science libraries relevant for their problem domain
  • account for and apply established programming ethical guidelines

Literature and preparations

Specific prerequisites

Eligible for studies at the third-cycle level.

Recommended prerequisites

Basic proficiency with a command-line interface (e.g. Unix)


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Examination and completion

If the course is discontinued, students may request to be examined during the following two academic years.

Grading scale

P, F


  • PRO1 - Project assignment, 5.0 credits, grading scale: P, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

The examination is done in terms of a project the student chooses that is relevant for their research area.

Other requirements for final grade

At least 80 % presence

Approved written project report and oral presentation in group.

Opportunity to complete the requirements via supplementary examination

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Opportunity to raise an approved grade via renewed examination

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Ethical approach

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course room in Canvas

Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

Offered by

Main field of study

This course does not belong to any Main field of study.

Education cycle

Third cycle

Add-on studies

No information inserted


Olav Vahtras,, +46 8 55378415

Supplementary information

Target audience: PhD student of coputational sciences

Number of students: 20

It is an on-campus course assuming that the pandemic situation does not require online.

Postgraduate course

Postgraduate courses at CBH/Theoretical Chemistry and Biology