Kursussøgning, efter- og videreuddannelse – Københavns Universitet

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Kursussøgning, efter- og videreuddannelse

Python Programming

Practical information
Study year 2016/2017
Block 1
Programme level Full Degree Master
Course responsible
  • Wouter Krogh Boomsma (2-846f4d71763b78823b7178)
  • Department of Biology
Course number: NBIK14037U

Course content

Programming basics, data types, conditionals, loops, functions, object oriented programming, pattern matching (regular expressions), computational complexity.

Learning outcome


After completing the course, the student will master key programming concepts such as data-types, variables, conditionals, loops, and functions, and have an understanding of the central concepts in object oriented programming and pattern matching. Finally, the student will be familiar with the basic concepts of computational complexity.


The student is capable of solving small to medium sized programming tasks in Python, including tasks related to life sciences and bioinformatics. The student can produce programs that are well-written, well-structured, and well-commented.


The student is capable of solving the many small to medium size programming tasks that arise in the life sciences and bioinformatics, and is able to write well-structured and maintainable programs in Python.

The student

  • can explain the differences between various data-types in Python and can select the relevant type for a given programming task
  • can give a detailed description of conditionals and loops, and is able to explain how loops relate to the complexity of a program
  • can motivate the concepts of function and module, and give examples of how these tools should be used to structure code
  • can explain the basic concepts of Object Oriented Programming, and give examples of appropriate uses of classes and object
  • can identify problems for which regular expressions are well suited, and is able to construct an appropriate regular expression for a given pattern matching problem
  • can give examples of how to handle errors in a program
  • is capable of independently finding online information about external Python modules, and applying this information to solve a specific task


MSc in Health Informatics


Study Board of Health Informatics

Course type

Single subject courses (day)


1 block


---- SKEMA LINK ----

Teaching and learning methods

Lectures and exercises mixed (6-9 hours per week).






Category Hours
Exam 18
Preparation 89,5
Lectures 15
Exercises 15
English 137,5


Type of assessment

Written assignment, 5 days
Individual, writtten take-home exam, grading on the 7-point grading scale.


All aids allowed

Marking scale

7-point grading scale

Criteria for exam assessment

The exam is a 5-day take-home exam. The students hand in a written report with attached code. The assessment is based on the report and the attached code. Criteria include quality of the code (overall structure, quality, presence of suitable comments), and the correctness, relevance (with respect to the exam questions) and coherence of the report. The level of knowledge displayed should reflect what is outlined in "Learning ourcome".

Censorship form

No external censorship
One internal examiner


If the requirement is not fulfilled, it can be fulfilled before the reexamination. 75% of the execises must be handed in no later than two weeks before the registration period for reexamination ends. All exercises must be approved before the reexamination.

If 10 or fewer students have signed up for the reexamination, the type of assessment may be changed to an oral examination.

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