Module AT4300-KP06

Duration

1 Semester

Turnus of offer

each winter semester

Credit points

6

Course of studies, specific fields and terms:

• Master Auditory Technology 2022, compulsory, Auditory Technology

Classes and lectures:

• PY2300-V: Basics in statistics 2 (lecture, 2 SWS)
• AT4300-Ü: Basics in statistics 2 (exercise, 1 SWS)
• AT4300-S: Research methods: Imaging and biosignal analysis (seminar, 1 SWS)

Workload:

• 20 hours exam preparation
• 100 hours private studies and exercises
• 60 hours in-classroom work

Contents of teaching:

• Analysis of Variance (ANOVA)
• General linear model, incl.simple and multiple regression, outlier testing
• Relationship of ANOVA and Regression
• Robust testing
• Basics of non-parametric testing
• CLINICAL AND NEUROSCIENTIFIC RESEARCH METHODS:
• An introduction to the relevant research methods, incl. PET, fMRI, EEG, eye tracking

Qualification-goals/Competencies:

• Mastering and judging basic concepts and techniques in analysis of variance and regression
• Applying this new knowledge in solving statistical problems and in interpreting statistical results
• Experience in working with statistical software packages
• Extended ability to choose the adequate methods for a given research problem

Grading through:

• written exam

Responsible for this module:

• Prof. Dr. rer. nat. Jonas Obleser
• Prof. Dr.-Ing. Alfred Mertins

Teacher:

• Department of Psychology
• Institute for Signal Processing
• Prof. Dr.-Ing. Alfred Mertins
• Prof. Dr. rer. nat. Jonas Obleser
• PD Dr. phil. Sarah Tune
• PD Dr. rer. nat. Malte Wöstmann

Literature:

• Eid, M., Gollwitzer, M. & Schmitt, M. : Statistik und Forschungsmethoden Beltz. 1. Auflage, 2010
• Wirtz, M., Nachtigall, C. : Wahrscheinlichkeitsrechnung und Inferenzstatistik. Statistische Methoden für Psychologen Teil 2 Beltz Juventa. 6. Auflage, 2012

Language:

• German and English skills required

Notes:

Last Updated:

08.06.2021