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

Evaluation

Belongs to following study modules

2018–2019

Teaching

Archived Teaching Schedule. Please refer to current Teaching Shedule.

BIO2350 Basics of programming and algorithms for bioinformatics