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Additional Subjects

Scientific Director: Prof. Dr. Herta Flor
Phone: +49 621 1703-6302, e-mail

Secretariat: Angelika Bauder
Phone: +49 621 1703-6302, e-mail

Institute of Cognitive and Clinical Neuroscience


Abteilung Klinische Psychologie

Head: Prof. Dr. Peter Kirsch
Phone: +49 621 1703-6501, -6511, e-mail

Secretariat: Ellen Schmucker
Phone: +49 621 1703-6502, e-mail

Department of Clinical Psychology


Instructors:

Scientific Director: Prof. Dr. Rainer Spanagel
Phone: +49 621 1703-6251, e-mail

Secretariat: Christine Roggenkamp
Phone: +49 621 1703-6252, E-Mail

Institute for Psychopharmacology


Instructors:


Event notes:

Aktuelle Informationen zum Seminar für Psychopharmakologie finden Sie auf der Seite Veranstaltungen. / For up-to-date information about the Psychopharmacology Seminar, please visit the Events page.

Head: Prof. Dr. Stefan Wellek
Phone: +49 621 1703-6001, e-mail

Secretariat: Mireille Lukas
Phone: +49 621 1703-6002, e-mail

Department Biostatistic


Instructors:

Prof. Dr. Stefan Wellek -  LSF

Head: Prof. Dr. Dusan Bartsch
Phone: +49 621 1703-6202, e-mail

Department Molecularbiology


Instructors:


Biochemisches Labor

Head: apl. Prof. Dr. Patrick Schloss
Phone: +49 621 1703-2901, e-mail

Biochemisches Labor


Instructors:

  • apl. Prof. Dr. Patrick Schloss - LSF

Head: apl. Prof. Dr. Harald Dreßing
Phone: +49 621 1703-2941, e-mail

Secretariat: Martina Herbig
Phone: +49 621 1703-2381, e-mail

Forensic Psychiatry


Instructors:

apl. Prof. Dr. Harald Dreßing - LSF / Uni Mannheim

Professor in Theoretical Neuroscience
Department Head: Prof. Dr. Daniel Durstewitz
Phone: +49 621 1703-2361, e-mail

Secretariat: Christine Roggenkamp, M.A.
Phone: +49 621 1703-6252, e-mail

Department Theoretical Neuroscience


Lecturers:


Event notes:

Up-to-date information about the lecture and its contents you will find here:

Computational Statistics and Data Analysis (MVComp2)

Lecture (2 hrs): Wed 11.00-13.00
Exercises (2 hrs): Wed 14.00-16.00
Location: INF 227, SR 2.403

This lecture introduces students to basic methods and techniques in computational statistics and data analysis, as widely applicable to empirical problems in the natural sciences. It also provides an overview over relevant concepts and theorems in probability theory and mathematical statistics. The lecture is accompanied by computational exercises in Python or Matlab. It will enable students to analyze small and large data sets and interpret the results from a solid, theoretically grounded statistical perspective, to devise statistical models of experimental situations, to infer the parameters of these models from empirical observations, and to test hypotheses about them.



Zentralinstitut für Seelische Gesundheit (ZI) - https://www.zi-mannheim.de