Scientific Thinking

Course code

IFI6201.DT

old course code

Course title in Estonian

Teaduslik mõtteviis

Course title in English

Scientific Thinking

ECTS credits

6.0

Assessment form

Examination

lecturer of 2022/2023 Autumn semester

Not opened for teaching. Click the study programme link below to see the nominal division schedule.

lecturer of 2022/2023 Spring semester

Not opened for teaching. Click the study programme link below to see the nominal division schedule.

Course aims

Course aims to support shaping the scientific thinking, data analysis, making conclusions and skills of interpretations based on data.

Brief description of the course

Scientific thinking and its evolution. Structure of the scientific research and examples according to specialization (design research, empirical research, experiment, theoretical research). Inductive and deductive approach.

Process of scientific research. Ethics and responsible research in research process

Different types of data and data collections methods: log data, questionnaire, test, observation etc.

Overview of different data collections methods (qualitative and quantitative).

Overview of different data analysis technologies (R, SPSS, Excel).

Preparation of data to analysis process.

Selection of data analysis technique based on data scale type (frequency table, diagram, descriptive figures, correlation).

Method of presentation based on specialization.

Process of scientific research. Ethics and responsible research in research process

Different types of data and data collections methods: log data, questionnaire, test, observation etc.

Overview of different data collections methods (qualitative and quantitative).

Overview of different data analysis technologies (R, SPSS, Excel).

Preparation of data to analysis process.

Selection of data analysis technique based on data scale type (frequency table, diagram, descriptive figures, correlation).

Method of presentation based on specialization.

Learning outcomes in the course

Upon completing the course the student:

- understand the basics of scientific thinking and its basic concepts;

- knows the application fields of scientific thinking;

- can collect and evaluate relevant scientific data;

- distinguishes data scales and selects appropriate data analysis method;

- is able to make scientific conclusions based on data.

- understand the basics of scientific thinking and its basic concepts;

- knows the application fields of scientific thinking;

- can collect and evaluate relevant scientific data;

- distinguishes data scales and selects appropriate data analysis method;

- is able to make scientific conclusions based on data.

Teacher

Study programmes containing that course

Computer Science (IFIFB/22.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/22.DT)

Computer Science (IFIFB/21.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/21.DT)

Information Science (INITB/21.DT)

Computer Science (IFIFB/20.DT)

Information Science (INITB/20.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/20.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/19.DT)

Information Science (INITB/19.DT)

Integrated Natural Sciences (MLLB/19.LT)

Environmental Management (MLKSB/19.LT)

Computer Science (IFIFB/19.DT)

Biology (with Minor Field of Study) (MLBB/19.LT)

Information Science (INITB/18.DT)

Biology (with Minor Field of Study) (MLBB/18.LT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/18.DT)

Computer Science (IFIFB/18.DT)

Environmental Management (MLKSB/18.LT)

Integrated Natural Sciences (MLLB/18.LT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/17.DT)

Information Science (INITB/17.DT)

Environmental Management (MLKSB/17.LT)

Integrated Natural Sciences (MLLB/17.LT)

Computer Science (IFIFB/17.DT)

Biology (with Minor Field of Study) (MLBB/17.LT)

Integrated Natural Sciences (MLLB/16.LT)

Integrated Natural Sciences (MLLB/00.LT)

Biology (with Minor Field of Study) (MLBB/16.LT)

Environmental Management (MLKSB/16.LT)

Information Science (INITB/16.DT)

Computer Science (IFIFB/16.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/16.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/00.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/22.DT)

Computer Science (IFIFB/21.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/21.DT)

Information Science (INITB/21.DT)

Computer Science (IFIFB/20.DT)

Information Science (INITB/20.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/20.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/19.DT)

Information Science (INITB/19.DT)

Integrated Natural Sciences (MLLB/19.LT)

Environmental Management (MLKSB/19.LT)

Computer Science (IFIFB/19.DT)

Biology (with Minor Field of Study) (MLBB/19.LT)

Information Science (INITB/18.DT)

Biology (with Minor Field of Study) (MLBB/18.LT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/18.DT)

Computer Science (IFIFB/18.DT)

Environmental Management (MLKSB/18.LT)

Integrated Natural Sciences (MLLB/18.LT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/17.DT)

Information Science (INITB/17.DT)

Environmental Management (MLKSB/17.LT)

Integrated Natural Sciences (MLLB/17.LT)

Computer Science (IFIFB/17.DT)

Biology (with Minor Field of Study) (MLBB/17.LT)

Integrated Natural Sciences (MLLB/16.LT)

Integrated Natural Sciences (MLLB/00.LT)

Biology (with Minor Field of Study) (MLBB/16.LT)

Environmental Management (MLKSB/16.LT)

Information Science (INITB/16.DT)

Computer Science (IFIFB/16.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/16.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/00.DT)