Autumn Semester 2020 takes place in a mixed form of online and classroom teaching.
Please read the published information on the individual courses carefully.

252-0839-00L  Informatics

SemesterAutumn Semester 2016
LecturersL. E. Fässler, M. Dahinden
Periodicityyearly recurring course
Language of instructionGerman

Catalogue data

AbstractStudents 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.
ObjectiveThe 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.
Content1. 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 notesAll materials for the lecture are available at
Prerequisites / NoticeThis 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.

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits2 credits
ExaminersL. E. Fässler, M. Dahinden
Typeend-of-semester examination
Language of examinationGerman
RepetitionA repetition date will be offered in the first two weeks of the semester immediately consecutive.
Admission requirementDie Teilnahme an den 6 formativen Assessments während des
Semesters ist Voraussetzung für die Zulassung zur Prüfung.
Die formativen Assessments werden nicht benotet.
Additional information on mode of examinationSchriftliche Prüfung, 1 Stunde Dauer, am 5. Januar 2017, Hilfmittel: Die beiden in der Vorlesung verkauften Bücher (es sind nur handschriftliche Notizen auf bestimmten Seiten erlaubt. Andere Änderungen sind untersagt), Wörterbuch für Fremdsprachige, Schreibzeug, USB-Stick.

Learning materials

Main linkWebseite der Lehrveranstaltung
Learning environmentE.Tutorial-Plattform
Only public learning materials are listed.


252-0839-00 GEinsatz von Informatikmitteln2 hrs
Mon17-18HG E 19 »
17-18HG E 26.3 »
17-18HG E 27 »
Thu17-18HG E 19 »
17-18HG E 26.1 »
17-18HG E 26.3 »
17-18HG E 27 »
Fri13-15HG F 7 »
14-17HG E 19 »
14-17HG E 26.1 »
14-17HG E 26.3 »
14-17HG E 27 »
L. E. Fässler, M. Dahinden


No information on groups available.


There are no additional restrictions for the registration.

Offered in

Agricultural Sciences BachelorAdditional First Year CoursesOInformation
Computer Science (General Courses)Computer Science for Non-Computer ScientistsZInformation
Food Science BachelorAdditional First Year CoursesOInformation
Environmental Sciences BachelorAdditional First Year Compulsory CoursesOInformation