Conducted in
term:
2022/23Z
ECTS credits:
2
Language:
English
Organized by:
Faculty of Biological and Veterinary Sciences
(for:
Nicolaus Copernicus University in Toruń)
(in Polish) Data analysis 2600-OG-EN-DA
1. Data bases - buiding and handling
2. Short recapitulation of matrix algebra and important functions in biology
3. Simple and mixed multivariate regression and ANOVA models
4. Structural equation modelling and regression trees
5. Ordination and cluster techniques
6. Pattern detection
7. Statistical pitfalls
Total student workload
Lecture 15 h
Course 15 h
Own reading: 10 h
Test preparation: 5 h
Course homework: 10 h
Consultation: 5 h
Total: 60 h workload
Learning outcomes - knowledge
W1: defines a task or problem in the field of his/her specialty 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: is able to use a foreign language to communicate at a basic level in accordance with the requirements of B2 ESOKJ K_U12
U3: 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 multivariate methods to develop and present results and analyzes K_K08
K2: can work in a team, both by directing and co-ordinating the team's activities and by performing assigned tasks
Teaching methods
Lecture and course
Expository teaching methods
- participatory lecture
Exploratory teaching methods
- practical
Online teaching methods
- cooperation-based methods
Type of course
elective course
Prerequisites
First and second level course in mathematics and statistics
Course coordinators
Assessment criteria
Final test
2: < 50% of points
3: 51-60%
3+: 61-70%
4: 71-80%
4+: 81-90%
5: > 90%
Bibliography
Literature will be presented at each lecture
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: