This Study Handbook is published with reservation. It is not official yet.
|Teaching method||Contact hours|
|Course coordinator(s)||ir. MA Zijp|
|Lecturer(s)||ir. G Moerland|
|drs. MR Kramer|
|dr.ir. A Kassahun|
|dr. SA Osinga|
|dr. Q Liu|
|dr. J Valente|
|ir. MA Zijp|
|dr. T Alskaif|
|Examiner(s)||ir. MA Zijp|
Language of instruction:
Assumed knowledge on:
Elementary computer skills.
Software Engineering, Big Data, Agent-Based Modelling for Complex Adaptive Systems, Data Management, Linked Data, Engineering and Management of Information Systems.
Software plays an important role in many domains. Very often, scientists are writing or adapting computer programs to process or analyse their data and present their results in a suitable format (e.g. on the Internet). This course does not aim to produce professional programmers, but rather to build understanding of the underlying principles and equip future academics with basic skills to create computer programs for small-scale use. The same principles are needed for writing custom code in many simulation, modelling, and engineering tools.
The programming language Python serves a broad application domain ranging from short scripts to full-blown software systems (e.g. Google uses Python). The course gives an introduction to libraries of available components, and how to use these for building your own software.
Note: The course in period five is for the February intake of MSc students from programmes that included our course as a RO.
After successful completion of this course students are expected to be able to:
- implement a given algorithm as a computer program (in Python);
- adapt and combine standard algorithms to solve a given problem (includes numerical as well as non-numerical algorithms);
- apply standard programming constructs for a given goal: repetition, selection, functions, composition, modules, aggregated data (arrays, lists, etc.);
- explain what a given piece of programming code (in Python) does;
- identify and repair coding errors in a given piece of programming code;
- demonstrate how to apply object based software concepts (constructing OO software will be dealt with in the course Software Engineering);
- demonstrate how to apply classes and functions from library software used during the course for (e.g.) building a graphical user interface or data visualization.
- computer labs (partly supervised);
- class room exercises;
- studying book and electronic materials.
Written closed book exam.
|Compulsory for:||BAT||Biosystems Engineering||BSc||1AF|
|Restricted Optional for:||BSW||Soil, Water, Atmosphere||BSc||1AF, 2MO|
|MES||Environmental Sciences||MSc||1AF, 2MO|
|MML||Molecular Life Sciences||MSc||D: Spec. D Physical Chemistry||2MO|
|MML||Molecular Life Sciences||MSc||C: Spec. C Physical Biology||2MO|
|MPS||Plant Sciences||MSc||A: Spec. A - Crop Science||1AF, 2MO, 5MO|
|MPS||Plant Sciences||MSc||B: Spec. B - Greenhouse Horticulture||1AF, 2MO, 5MO|
|MPS||Plant Sciences||MSc||C: Spec. C - Natural Resource Management||1AF, 2MO, 5MO|
|MPS||Plant Sciences||MSc||D: Spec. D - Plant Breeding and Genetic Resources||1AF, 2MO, 5MO|
|MPB||Master Plant Biotechnology (2020)||MSc||A: Spec. A - Functional Plant Genomics||1AF, 2MO, 5MO|
|MGI||Geo-Information Science||MSc||1AF, 2MO|
|Restricted Optional for:||WUDSC||BSc Minor Data Science||1AF|
|WUEAB||BSc Minor Earth and Biosphere||1AF, 2MO|