Stud.IP Uni Oldenburg
Universität Oldenburg
07.12.2021 22:04:24
neu725 - Multivariate Statistics and Applications in R (Veranstaltungsübersicht)
Department für Neurowissenschaften 6 KP
Modulteile Semesterveranstaltungen Wintersemester 2021/2022 Prüfungsleistung
Vorlesung
  • Eingeschränkter Zugang 6.02.111_1L - Multivariate statistics I Lehrende anzeigen
    • Prof. Dr. Andrea Hildebrandt

    Mittwoch: 08:15 - 09:45, wöchentlich (ab 20.10.2021)
    Termine am Montag. 21.02.22 08:00 - 10:00

    hybrid 59 students can attend in presence, the others can watch the recoreded lectures online. For participation in presence, you need to register for each session you want to attend by signing up to the respective group. The class in only open for Neurocognitive Psychology, Neuroscience and PhD students, NOT for Biology students.

Übung
  • Eingeschränkter Zugang 6.02.111_1T - Multivariate statistics I (Tutorial) Lehrende anzeigen
    • Prof. Dr. Andrea Hildebrandt
    • Maira Keller

    Dienstag: 16:15 - 17:45, wöchentlich (ab 19.10.2021)

    hybrid 59 students can attend in presence (3G), the others can attend online. For participation in presence, you need to register for each session you want to attend by signing up to the respective group. Additonal voluntary tutorial for the multivariate statistics lecture. If you are from another study program, please contact the teacher.

  • Eingeschränkter Zugang 6.02.111_2_Gr2 - analysis methods with R - group 2 online Lehrende anzeigen
    • Juan Felipe Quinones Sanchez

    Mittwoch: 16:15 - 17:45, wöchentlich (ab 20.10.2021)

    online The first 3 classes will take place as BBB sessions, the other classes online with R markdown tutorials and BBB Q&A sessions from 16-17h. The course is open for Neurocognitive Psychology and Neuroscience students.

Hinweise zum Modul
Teilnahmevoraussetzungen
recommended in semester 1/3
weeks 11-13 of summer semester
Prüfungszeiten
End of winter semester
Prüfungsleistung Modul
written exam
attendance of at least 70% in the seminars (in addition, mandatory but ungraded)
Kompetenzziele
Students will acquire basic knowledge in planning empirical investigations, managing and understanding quantitative data and conducting a wide variety of multivariate statistical analyses. They will learn how to use the statistical methodology in terms of good scientific practice and how to interpret, evaluate and synthesize empirical results from the perspective of statistical modeling in basic and applied research context. The courses in this module will additionally point out statistical misconceptions and help students to overcome them.

+ Independent research
+ Scient. Literature
+ Social skills
++ Interdiscipl. knowledge
++ Maths/Stats/Progr.
++ Data preset./disc.
+ Scient. English
++ Ethics