neu725 - Multivariate Statistics and Applications in R (Course overview)

neu725 - Multivariate Statistics and Applications in R (Course overview)

Department of Neurosciences 6 KP
Module components Semester courses Winter semester 2024/2025 Examination
Lecture
  • Limited access 6.02.111_1L - Multivariate statistics I Show lecturers
    • Prof. Dr. Andrea Hildebrandt
    • Micha Jannis Burkhardt
    • Leonardo Zaggia

    Friday: 10:00 - 12:00, weekly (from 18/10/24), Location: A06 0-001
    Dates on Friday, 07.02.2025 09:00 - 10:00, Location: A07 0-030 (Hörsaal G)
    The class in only open for Neurocognitive Psychology, Neuroscience and PhD students, NOT for Biology students.
Exercises
Notes on the module
Prerequisites
recommended in semester 1/3
weeks 11-13 of summer semester
Prüfungszeiten
End of winter semester
Module examination
written exam
attendance of at least 70% in the seminars (in addition, mandatory but ungraded)
Skills to be acquired in this module
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