751-0441-00L Scientific Analysis and Presentation of Data
Semester | Autumn Semester 2018 |
Lecturers | W. Eugster |
Periodicity | yearly recurring course |
Language of instruction | German |
Courses
Number | Title | Hours | Lecturers | |||||||
---|---|---|---|---|---|---|---|---|---|---|
751-0441-00 G | Wissenschaftliche Datenauswertung und -präsentation | 2 hrs |
| W. Eugster |
Catalogue data
Abstract | Students will get an introduction to the scientific work with data covering all steps from data entry via statistical analyses to producing correct scientific graphical output. Exercises with the data analysis software R/RStudio will provide hands-on opportunities to get acquainted with data analysis and presentation in adequate graphs. Field data gathered with Prof. E. Frossard will be used. |
Objective | This lecture with exercises gives an introduction to the scientific work with data, starting with data acquisition and ending with statistical analyses as they are often required for a bachelor thesis (descriptive statistics, linear regression, simple analyses of variance etc.). Using open-source R/RStudio software will be the primary focus via a hands-on approach. An imporant aspect will be to learn which graphical representation of data are best suited for the task (how can data be presented clearly and still scientifically correct?) |
Content | Tentative Programme: - Introduction - Introduction to 'R' - Data acquisition, data organization, data storage, working with data - Data import and graphical presentation - Preparation of own data from field course with Prof. E. Frossard / from 4th semester - Correct and problematic graphical data displays - Statistical distribution and confidence intervals - Statistical tests - Repetition and hands-on applications - Linear regressions - Analysis of Variance - Discussion of ANOVA results with Prof. E. Frossard Last week of semester: examination (Leistungskontrolle) |
Lecture notes | Mainly German (with some English passages from text books) |
Prerequisites / Notice | Theoretical background in ensemble statistics from the mandatory course in the 4th semester; students should have cleared the examination of that fundamental course to be able to follow |
Performance assessment
Performance assessment information (valid until the course unit is held again) | |
Performance assessment as a semester course | |
ECTS credits | 2 credits |
Examiners | W. Eugster |
Type | end-of-semester examination |
Language of examination | German |
Repetition | A repetition date will be offered in the first two weeks of the semester immediately consecutive. |
Additional information on mode of examination | Schriftliche Prüfung (ohne Benützung der Kursunterlagen). Es werden inhaltliche Fragen gestellt zu ausgewählten Aspekten aus dem Kurs, zur Interpretation der im Kurs bearbeiteten und besprochenen Daten, zu generellen Aspekten der grafischen Darstellung von Daten und zu einfacheren R-Befehlen zur Kontrolle der grundsätzlichen Fähigkeit der Studierenden, mit der Kurssoftware arbeiten zu können. |
Learning materials
No public learning materials available. | |
Only public learning materials are listed. |
Groups
No information on groups available. |
Restrictions
There are no additional restrictions for the registration. |
Offered in
Programme | Section | Type | |
---|---|---|---|
Agricultural Sciences Bachelor | Methodical Courses | O | |
Agricultural Sciences Bachelor | Methods | O |