Curricula 2015 – 2017
Learning outcomes
After the course, the student can:
- write simple, practical programs in the Python programming language.
- explain basic data structures and select and adapt a suitable data structure for use in a particular problem.
- explain how common algorithms are used in bioinformatics work.
- adapt and implement simple bioinformatics algorithms in selected cases.
Contents
- Fundamental concepts in programming such as variables, values, types, expressions, control structures, data structures, modularity and classes.
- Model problems and their typical algorithmic solutions with particular focus on bioinformatics.
- Basic concepts in machine architecture and data representation.
- Selected fundamentals of complexity and computability.
- Common algorithms used in bioinformatics
- Required components and the resulting number of credit units are assigned in accordance with the personal study plan
Modes of study
- Degree Programme Students
- Other Students
- Open University Students
- Doctoral Students
- Exchange Students
Evaluation
Numeric 1-5.Belongs to following study modules
