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Courses Biomathematics

Biomathematics

The aim of this course is to prepare you for an understanding of the basic statistical methods that are useful in your major field. Concepts are introduced in an intuitive way. The relevance of the procedures is demonstrated by examples selected from a wide area of life sciences. The course uses a common-sense approach to explain basic ideas and methods. Real-life examples show how each idea or method is applied in practice.

Prerequisites:Informatics

Course coordinator

Instructors

  • ABONYI-TÓTH, Zsolt, [Click to see email], office hours: WE 12:15-13:00 Building L, 3rd floor 305/a
  • ELEK, Zoltan,[Click to see email], office hours: TU/WE 08:00-10:00, Building L, 3rd floor 306, request for appointment in advance via email.
  • KOVÁCS, Ágnes, [Click to see email], office hours: TU 12:00-13:00, Building L, 3rd floor 306, ask for an appointment in advance
  • KÖVÉR, Szilvia, [Click to see email], office hours:  TU 17:00-18:00, office: Rottenbiller u. 50., Institute for Biology, room 17 (downstairs), ask for an appointment in advance in email
  • PASZERBOVICS, Bettina, [Click to see email], office hours: TH 10:45-11:45, 16:15-17:15. Ask for an appointment in advance in email.

Lecture: MO 14:15, Kotlán lecture hall, ELEK, Zoltan

Practicals:

Group 1: TH 14:15 HEFOP2, ELEK, Zoltan

Group 2: MO 9:15 HEFOP1, KÖVÉR, Szilvia

Group 3: WE 8:15 HEFOP2, KOVÁCS, Ágnes

Group 4: WE 8:15 HEFOP1, ABONYI-TÓTH, Zsolt

Group 5: WE 12:15 HEFOP1, ELEK, Zoltan

Group 6: WE 12:15 N3, PASZERBOVICS, Bettina

Group 7: TU: 8:15 HEFOP1, KÖVÉR, Szilvia

Group 8: TH 12:15 HEFOP2, KOVÁCS, Ágnes

Group 9: WE 8:15 N3, PASZERBOVICS, Bettina

Group 10: WE 10:15 HEFOP1, ABONYI-TÓTH, Zsolt

Recommended literature:

Wassertheil-Smoller S: Biostatistics and Epidemiology. A Primer for Health and Biomedical Professionals, Springer, 1990, 1995, 2004. (It can be borrowed from the University Library.)

Petrie A, Watson P: Statistics for Veterinary and Animal Science. 3rd edition. Wiley-Blackwell, 2013.

Course material can be reached on the e-learning site of the Biomathematics Department.