This course focuses on how to handle experimental data and analyse them. Statistical theories as well as probability theory required for data analysis will be lectured.
By the end of this course, students will be able to treat experimetal data statistically and to analyse logically.
statistical processing, error analysis, probability theory, data analysis
✔ Specialist skills | Intercultural skills | Communication skills | Critical thinking skills | ✔ Practical and/or problem-solving skills |
Individual topics will be lectured.
Course schedule | Required learning | |
---|---|---|
Class 1 | Introduction to scientific data analysis | Introduction to scientific data analysis |
Class 2 | Generation of errors and its analysis | Generation of errors and its analysis |
Class 3 | Fundamentals of probability theory | Fundamentals of probability theory |
Class 4 | Fundamentals of statistical theory I | Fundamentals of statistical theory I |
Class 5 | Fundamentals of statistical theory II | Fundamentals of statistical theory II |
Class 6 | Analysis of experimental data I | Analysis of experimental data I |
Class 7 | Analysis of experimental data I | Analysis of experimental data I |
Class 8 | Term-end examination and the review. | Term-end examination and the review. |
unfixed
unfixed
unfixed
none