Methods of Science
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Course code
MLL6001.LT
old course code
MLL6001
Course title in Estonian
Uurimismeetodid loodusteadustes
Course title in English
Methods of Science
ECTS credits
4.0
Assessment form
assessment
lecturer of 2023/2024 Spring semester
Not opened for teaching. Click the study programme link below to see the nominal division schedule.
lecturer of 2024/2025 Autumn semester
Not opened for teaching. Click the study programme link below to see the nominal division schedule.
Course aims
- To develop the understanding about the fundamentals of research in natural sciences.
- To develop the ability for comprehending the basic concepts of scientific research and the logic of scientific thinking.
- To support the development of basic knowledge for conducting scientific research.
- To support the development of skills in metrology and statistical data analysis.
Brief description of the course
In the first half of the course an overview of the basic concepts of science, the logic of scientific thinking and various scientific methods is given. The student is prepared to be able to write research reports in natural sciences and formulate scientific texts. Data acquisition from various databases and working with literature. Formulation of a research aim and making a research plan. The second half of the course concentrates on introducing basic measuring and data analysis methods. Measuring various parameters, calculation of measurement uncertainty. Least-squares method. Usage of computational techniques for conducting measurements and analysing measurement results. Measurement methods and techniques for various phenomena. Application of computational techniques for solving and illustrating research problems in natural sciences.
Learning outcomes in the course
Upon completing the course the student:
- can orientate in the scientific system of the Republic of Estonia;
- can plan and conduct scientific research independently;
- can formulate the results of the research as a research report;
- can conduct basic data analysis in natural science and illustrate data graphically;
- can analyse experimental or research data and compare them with theories and the results of other studies;
- can apply computer software for solving, illustrating or analysing scientific problems.
Teacher
Prof Tõnu Laas; Dotsent Reimo Rivis
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