| Dozent/in |
Dr. Nicolas Attalides |
| Veranstaltungsart |
Workshop |
| Code |
HS261719 |
| Semester |
Herbstsemester 2026 |
| Durchführender Fachbereich |
Diverse |
| Studienstufe |
Master
Doktorat |
| Termin/e |
Sa, 24.10.2026, 09:30 - 16:30 Uhr
Sa, 31.10.2026, 09:30 - 16:30 Uhr |
| Umfang |
Blockveranstaltung |
| Inhalt |
The R programming language offers a huge variety of statistical analysis solutions with over 23,000 packages available to install and continues to expand in areas like visualization, text analysis and machine learning.
This course covers some of the common areas in statistics and combines the use of the R programming language in performing statistical analysis. We use dummy data to demonstrate the applications of statistical concepts in R and participants will learn how to recognise the appropriate methodology needed to apply for their own individual research.
|
| Lernziele |
The course is structured to cover the following topics:
• A short reminder on how to perform data manipulations and create data visualisations.
• Summary/Descriptive statistics
• Univariate and Bivariate type plots
• Populations, Samples and random variables
• Statistical distributions (Normal, Poisson and Binomial)
• Confidence intervals
• Defining a statistical test
• Statistical tests (t-test, paired t-test, proportion test)
• Statistical tests (KS, Mann Whitney U test and F test)
• ANOVA
• Simple/Multiple linear regression model |
| Voraussetzungen |
Basic skills in programming with R. Ideally attended an “Introduction to R” course or have been coding in R for a few months. This course does not require any previous knowledge of statistics. Participants should have their own laptop with R, Rstudio installed. |
| Sprache |
Englisch |
| Begrenzung |
Only Master or doctoral students (postdoctoral researchers can sign up via lumacss@unilu.ch). Priority for LUMACSS students if there are too many registrations. |
| Anmeldung |
***Important*** To earn credits, you must register for the course via UniPortal. Registration is open from two weeks before to two weeks after the start of the semester. You can withdraw from the course after this period by notifying the lecturer and lumacss@unilu.ch. You can find the registration details here: http://www.unilu.ch/ksf/semesterdaten |
| Leistungsnachweis |
There is no examination. Participants are expected to actively engage in the hands-on components of the workshop. Successful participation is awarded 1 ECTS. |
| Abschlussform / Credits |
Bestätigte Teilnahme / 1 Credits
|
| Hörer-/innen |
Nein |
| Kontakt |
lumacss@unilu.ch |
| Material |
Instructions for the technical setup will be circulated via e-mail by the instructor during the week before the (first session of the) course. Learning material such as slides, code and solutions to exercises will be circulated by the instructor after the course. |