252-0839-00L Informatics
Semester | Autumn Semester 2017 |
Lecturers | L. E. Fässler, M. Dahinden |
Periodicity | yearly recurring course |
Language of instruction | German |
Abstract | Students learn to apply selected concepts and tools from computer science for working on interdisciplinary projects. The following topics are covered: modeling and simulations, visualizing multi-dimensional data, managing data with lists and tables and with relational databases, introduction to programming, universal methods for algorithm design. |
Objective | The students learn to - choose and apply appropriate tools from computer science, - process and analyze real-world data from their subject of study, - handle the complexity of real-world data, - know universal methods for algorithm design. |
Content | 1. Modeling and simulations 2. Visualizing multidimensional data 3. Data management with lists and tables 4. Data management with a relational database 5. Introduction to macro programming 6. Introduction to programming with Python |
Lecture notes | All materials for the lecture are available at Link |
Prerequisites / Notice | This course is based on application-oriented learning. The students spend most of their time working through projects with data from natural science and discussing their results with teaching assistants. To learn the computer science basics there are electronic tutorials available. |