Daten
Offizielle Daten in der Fachveröffentlichung für das folgende akademische Jahr: 2024-2025
Lehrbeauftragte/r
-
Borbásné Farkas Kornélia
associate professor,
Institute of Bioanalysis -
Semesterwochenstunden
Vorlesungen: 6
Praktika: 6
Seminare: 0
Insgesamt: 12
Fachangaben
- Kode des Kurses: OPE-TSA-T
- 1 kredit
- Pharmacy
- Elective modul
- both
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