Statistical Analysis of Thesis and Student Research Projects

Daten

Offizielle Daten in der Fachveröffentlichung für das folgende akademische Jahr: 2024-2025

Lehrbeauftragte/r

Semesterwochenstunden

Vorlesungen: 6

Praktika: 6

Seminare: 0

Insgesamt: 12

Fachangaben

  • Kode des Kurses: OPE-TSA-T
  • 1 kredit
  • Pharmacy
  • Elective modul
  • both
Voraussetzungen:

keine

Zahl der Kursteilnehmer für den Kurs:

min. 5 – max. 20

Thematik

The aim of the course is the statistical processing of data obtained by students during the preparation of their Student Research Project or Thesis. During the course, students will have the opportunity to evaluate their own databases and to understand the theoretical background of the statistical methods used.

Within this course, we can offer advice and assistance in the statistical analysis of Student Research Project and Thesis.

Vorlesungen

  • 1. Set the data and complete the database for statistical processing - Borbásné Farkas Kornélia
  • 2. Select the right statistical methods - Dergez Tímea
  • 3. Learn the theory of the selected methods - Kőnigné Péter Anikó
  • 4. Interpret the results - Borbásné Farkas Kornélia
  • 5. Interpret the results - Borbásné Farkas Kornélia
  • 6. Conclusions - Borbásné Farkas Kornélia

Praktika

  • 1. Set the data and complete the database for statistical processing - Dergez Tímea
  • 2. Select the right statistical methods - Kőnigné Péter Anikó
  • 3. Learn the theory of the selected methods - Makszin Lilla
  • 4. Learn the theory of the selected methods - Dergez Tímea
  • 5. Interpret the results - Kőnigné Péter Anikó
  • 6. Interpret the results - Makszin Lilla

Seminare

Materialien zum Aneignen des Lehrstoffes

Obligatorische Literatur

Vom Institut veröffentlichter Lehrstoff

Skript

Empfohlene Literatur

Andrew F. Siegel: Statistics and Data Analysis. An introduction, John Wiley & Sons, 1988

Douglas G. Altman: Practical Statistics for Medical Research, Chapman & Hall, 1994

P. Armitage and G. Berry: Statistical Methods in Medical Research, Blackwell Science, 1994

Robert R. Sokal / F. James Rohlf: Biometry, W. H. Freeman and Company, New York, 1981

Voraussetzung zum Absolvieren des Semesters

Requirement: present and apply the methods. The course will be finished by processing your own data.

Semesteranforderungen

individual report

Möglichkeiten zur Nachholung der Fehlzeiten

Consultation

Prüfungsfragen

individual report

Prüfer

Praktika, Seminarleiter/innen

  • Borbásné Farkas Kornélia
  • Dergez Tímea
  • Kőnigné Péter Anikó
  • Makszin Lilla