Course for international guest/part time students

Faculty

Faculty of Science

Organization

TTK Department of Microbiology

Code

biometub22vm

Title

Biometry, advanced biostatistics L+PR

Usual semester

Autumn

ECTS

6

Language

en

Learning outcomes

Competencies: Knowledge: Understands the advanced features of biometry and biostatistics level. Understands and applies the terminology required for understanding biometry and biostatistics. Understands the relationships in biometry and biostatistics. Understands the importance of interdisciplinarity. Understands the relationships of the different disciplinal knowledge. Ability: Able to recognize and coherently interpret the features of biometry and biostatistics on advanced level. Able to apply the advanced terminology of biometry and biostatistics. Able to present her/his results on advanced level both in oral and written form. Able to recognize and integrate the interrelation of the different scientific disciplines. Able to organize data and knowledge based from scientific aspect, able to analyze and interpret. Possesses and improves the manual skills needed for experimental works, measures. Able to apply the gained knowledge for the advanced scientific interpretation. Attitude: Claims to be able to use the knowledge gained in an integrative interpretation of the functioning of living systems. Open to follow the new biological and other scientific results. Rule and observe the rules of scientific ethics. Communicate the results of the disciplines. Committed and open to the scientifically sound knowledge with an integrative approach Committed to improve continuously his/her biological knowledge. Autonomy and responsibility: Able to independently analyze and evaluate fundamental professional issues. Responsible for forming scientifically sound opinion about biological, research and bioethical questions. Responsible to understand and learn the materials related to the advanced understanding of biometry and biostatistics. Understands the labour market, helps her/his partners in the planned, operative achievement of tasks.

Course content

The aim of the course is to introduce and discuss the advanced topics of biometry and advanced biostatistics, and to practice the use of this acquired knowledge in answering biological questions. Main topics of the course: Nonparametric tests, GLM (regression, ANOVA, general linear models, model evaluation), data representation, randomization procedures, sampling, multivariate data analysis, Bayesian statistics.

Assessment method

gy5 = practice mark (5) (1 failed, 5 excellent) The evaluation and assessment are based on the achievements of students during the semester. Visiting of the practices are compulsory to fulfil the course. The practical mark is calculated based on marks gained in the evaluation of the laboratory notes of the practices, the written midterms and practical tasks conducted about the materials of the practice during the semester.

Bibliography

Class material (ppt files)

Programmes of the course