Conducted in
terms:
2021/22Z, 2022/23Z, 2023/24Z, 2024/25Z
ISCED code: 0519
ECTS credits:
5
Language:
English
Organized by:
Faculty of Biological and Veterinary Sciences
(in Polish) Biostatistics 2600-BST-GC-1-S2
Probability.
Central limit theorem.
Data distribution.
Parametric and non-parametric tests.
Data visualization in R.
Performing statistical analyses in R.
Statistical hypothesis testing.
Pearson correlation coefficient.
Simple, multiple linear regression and non-linear models.
Stepwise regression.
T-test, F-test, chi2.
One-way ANOVA.
Two-way ANOVA.
Total student workload
Lecture 15 h
Course 30 h
Own reading: 10 h
Test preparation: 5 h
Course homework: 5 h
Consultation: 5 h
Total: 70 h workload
Learning outcomes - knowledge
W1: defines a task or problem in the field of his/her speciality and selects appropriate statistical methods to solve them. K_W08
Learning outcomes - skills
U1: applies advanced knowledge in the field of statistics to the biological data K_U01
U2: has the ability to present results in English, as well as write a report in English K_U14
Learning outcomes - social competencies
K1: demonstrates the ability to use statistical and bioinformatic methods to develop and present results and analyses K_K08
K2: can work in a team, both by directing and co-ordinating the team's activities and by performing assigned tasks K_K11
K3: is aware of the responsibility for the reliability of analyses and expert opinions. K_K04
Teaching methods
Lecture and course.
Under the supervision of the tutor, students independently carry out specific tasks (perform statistical analyses) on the basis of instructions prepared for these classes.
Expository teaching methods
- participatory lecture
Exploratory teaching methods
- practical
Online teaching methods
- cooperation-based methods
Type of course
compulsory course
Prerequisites
Basic skills in informatics, spreadsheet calculations.
Course coordinators
Assessment criteria
Final test (analysis of data):
fail:
(2): < 50% of points
pass:
(3): 51-60%
(3,5): 61-70%
(4): 71-80%
(4,5): 81-90%
(5): > 90%
Practical placement
n/a
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: