ECTS
ECTS Course Catalogue
Course details
Course code: BIS10053o17Semester: 2017/2018 winter
Name: Planning of Experiments
Major: Bioinformatics
Study Type: first cycle
Course type: compulsory
Study Semester: 5
ECTS points: 4
Hours (Lectures / Tutorials / Other): 15 / 30 / 80
Lecturer: dr hab. Andrzej Wiliczkiewicz, prof.nadzw.
Language of instruction: Polish / English
The course taught in English if the group has ≥6 students. The course taught in Polish with a possibility of support in English if the group has <6 students. Contact person: dr Tomasz Hikawczuk
Learning outcomes: Knowlsdge: Students understand the theoretical foundations of experimental design, the design and basic biological research methodology; Can define the purpose of the expected measurements or experiments. I plan to run a series of measurements and experiments; knows how to plan experiments. He knows the rules for establishing the results; has knowledge of how to draw conclusions from the planned experiments and use them in practice; has knowledge of the basic techniques and tools used in mathematics, statistics, biology to conduct experiments and analysis of biological data. Skills: Student applies basic techniques and research tools in the field of experimental biology. He can construct a research hypothesis and select the appropriate statistical test, interpret the results of tests; Understands the literature on planning experiments in Polish. He can prepare a basic study of the problem of planning experiments.
Competences: Student is aware of the possibility of using the knowledge of the planning of experiments to solve the problems associated with the pursuit of bioinformatics,
Prerequisites: -
Course content: General principles of design of experiment. Basic types and types of experiments. Integrated experiments used in biological experiments. Diagrams and sampling techniques to study. Errors experience. Precision experiments.
Recommended literature: 1. Brzeziński J., Stachowski R.: 1984 Zastosowanie analizy wariancji w eksperymentalnych badaniach psychologicznych, PWN, Warszawa. 2. Mead R., Curnow R.N., Hasted A.M.: 1993. Statistical Methods in Agriculture and Experimental Biology. Second Edition. Chapman & Hall. 3. Aczel A.D., 2000. Statystyka w zarządzaniu, PWN, Warszawa. 4. Ferguson G.A., Takane Y. 2009 „Analiza statystyczna w psychologii i pedagogice”, PWN,
Assessment methods: Completion of the course: students are obliged to complete exercises and exam in written form (5 questions out of 120 open-ended questions) the exam session. The test takes 30 minutes. In case the credit of lectures is not successful on the first date the student has the right to re-sit orally or in writing within a bugfix.
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