Courses list

Wersja polska

Course code: BIS20090o16
Semester: 2016/2017 winter
Name: Experimental Methodology
Major: Bioinformatics
Study Type: second cycle
Course type: compulsory
Study Semester: 1
ECTS points: 5
Hours (Lectures / Tutorials / Other): 15 / 30 / 80
Lecturer: dr hab. inż. Andrzej Wiliczkiewicz
Language of instruction: Polish


Learning outcomes: Knowledge: W1 - know the kinds and types of experience in the life sciences and how they conduct [BI2-W10, W14-BI2] W2 - distinguishes and characterizes the experience errors [BI2-W05, W09-BI2]; W3 - selects the method of statistical processing results [BI2-W09]; Skills: U1 - has the ability to plan and carry out experiments [BI2-U07]; U2 - apply the appropriate techniques for collecting, organizing and collecting data, and interpret the results of [BI2-U06; BI2-U10].; U3 - uses necessary for testing and interpretation tools, uses a database and literature [BI2-U06, U09-BI2; BI2-U10]. Personal and social competences (attitudes and behaviors): K1 - is aware of the importance of the appropriate use of research methods in the life sciences. [BI2-K05; BI2-K07]

Competences:

Prerequisites: Fundamentals of mathematical statistics.

Course content: Course contents: General principles for research. Basic types and types of experience. Systems used in the experiments of experience in the life sciences. Experimental animals and their treatment during the experiment. Experimental techniques depending on the animal species. Diagrams and sampling techniques to test. Errors experience. Precision experiments. Methods for collecting, organizing and storing data from the experiments. Documentation of experiments. Methods of statistical analysis of the results. Interpretation of the results obtained on the basis of the basic methods of statistical inference. Forms of development research.

Recommended literature: Recommended literature: 4. Ruszczyc Z.: Metodyka Doświadczeń Zootechnicznych. PWRiL, Warszawa, 1981; 5. Łomnicki A.: Wprowadzenie do statystyki dla przyrodników. PWN, Warszawa, 1999; 6. Mead R., Curnow R.N., Hasted A.M.: Statistical Methods in Agriculture and Experimental Biology. Second Edition. Chapman & Hall, 1993.

Assessment methods: Assessment methods: Assessment exercise: the systematic allocation of tasks performed on exercises, written tests to assess at the end of the thematic groups. The presence of the exercises is compulsory, the student may have only one unauthorized absence. In the case of excused absences the student is required to pass the relevant part of the material. Completion of exercises based on the average ratings. Completion of the course: a student who has accede to the completion of practical written examination (5 open questions out of 150) in the examination session. If you will fail the exam the first time the student has the right to re-take it orally or in writing in the second period.

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