Data
Official data in SubjectManager for the following academic year: 2025-2026
Course director
-
Bóvári-Biri Judit
assistant professor,
Department of Pharmaceutical Biotechnology -
Number of hours/semester
lectures: 0 hours
practices: 0 hours
seminars: 12 hours
total of: 12 hours
Subject data
- Code of subject: OTF-RP2-T
- 1 kredit
- Biotechnology BSc
- Optional modul
- spring
OTF-RP1-T finished
Course headcount limitations
min. 5 – max. 15
Topic
In this course, students will have the opportunity to learn advanced data management methods in the R environment to supplement their analytical skills in practice. Students analyse data sets from different fields of biotechnology interactively, in small-group workshops.
Lectures
Practices
Seminars
- 1.
Pharmaceautical data set analysis
- Bóvári-Biri Judit - 2.
Pharmaceautical data set analysis 2.
- Bóvári-Biri Judit - 3.
miRNA data set analysis 1.
- Bóvári-Biri Judit - 4.
miRNA data set analysis 2.
- Bóvári-Biri Judit - 5.
Environmental biotechnology data set analysis 1.
- Bóvári-Biri Judit - 6.
Environmental biotechnology data set analysis 2.
- Bóvári-Biri Judit - 7.
Food biotech data set analysis 1.
- Bóvári-Biri Judit - 8.
Food biotech data set analysis 2.
- Bóvári-Biri Judit - 9.
Cancer related data set analysis 1.
- Bóvári-Biri Judit - 10.
Cancer related data set analysis 2.
- Bóvári-Biri Judit - 11.
Genetic- data set analysis 1.
- Bóvári-Biri Judit - 12.
Genetic- data set analysis 2.
- Bóvári-Biri Judit
Reading material
Obligatory literature
Literature developed by the Department
Uploaded material in Teams
Notes
Recommended literature
Conditions for acceptance of the semester
Mandatory attendance, One end course data set analysis in practice
Mid-term exams
Homeworks, end course data set analysis
Making up for missed classes
No option
Exam topics/questions
end course data set analysis
Examiners
Instructor / tutor of practices and seminars
- Bóvári-Biri Judit