Statistical Analysis of Thesis and Student Research Projects

Data

Official data in SubjectManager for the following academic year: 2020-2021

Course director

Number of hours/semester

lectures: 6 hours

practices: 6 hours

seminars: 0 hours

total of: 12 hours

Subject data

  • Code of subject: OBF-080-T
  • 1 kredit
  • Biotechnology MSc
  • Optional modul
  • both semesters
Prerequisites:

-

Course headcount limitations

min. 3 – max. 20

Topic

This course is for those students who are working on a student research plan or working on their thesis. They can process their own data and learn the theory of the applied statistical methods as well.

Lectures

  • 1. Set the data and complete the database for statistical processing - Borbásné Dr. Farkas Kornélia
  • 2. Select the right statistical methods - Dr. Pótó László
  • 3. Learn the theory of the selected methods - Dr. Pótó László
  • 4. Interpret the results - Borbásné Dr. Farkas Kornélia
  • 5. Interpret the results - Borbásné Dr. Farkas Kornélia
  • 6. Conclusions - Borbásné Dr. Farkas Kornélia

Practices

  • 1. Set the data and complete the database for statistical processing
  • 2. Select the right statistical methods
  • 3. Learn the theory of the selected methods
  • 4. Learn the theory of the selected methods
  • 5. Interpret the results
  • 6. Interpret the results

Seminars

Reading material

Obligatory literature

Literature developed by the Department

Own database

Notes

Recommended literature

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

Conditions for acceptance of the semester

Problem solving, oral report

Mid-term exams

Making up for missed classes

Consultation

Exam topics/questions

Examiners

Instructor / tutor of practices and seminars

  • Borbásné Dr. Farkas Kornélia
  • Dr. Pótó László