The instructor lectures on the importance and regulations of safety management in the university with special reference to the department class. Lectures on data analysis provide several useful statistical methods for Earth and Planetary Sciences.
Every student learns safety management necessary for studying at the university. Students learn fundamental knowledge and applications of the statistical treatment of scientific data in data analysis.
Safety management, Waste material, Data analysis, Statistical treatment
✔ Specialist skills | Intercultural skills | Communication skills | Critical thinking skills | ✔ Practical and/or problem-solving skills |
The instructor will explain many examples of safety management and data analysis, and each student can apply the knowledge to their studies at university.
Course schedule | Required learning | |
---|---|---|
Class 1 | Introduction | Understanding objectives of the class. |
Class 2 | Safety management: How to treat waste materials | Learning the university regulations of waste materials. |
Class 3 | Safety management: What is the safety management in the department | Learn safety management for field works, chemistry experiments, high pressure and temperatures, high voltage, etc. |
Class 4 | Data analysis: Normal distribution | Fundamental theory of normal distribution and its application to several examples. |
Class 5 | Data analysis: the least square fitting and the principal component analysis | Fundamental theory and application of least square fitting and principal component analysis. |
Class 6 | Data analysis: Fourier transform | Fundamental theory and application of Fourier transforms. |
Class 7 | Data analysis: Polynomial approximation and AIC | Fundamental theory and application of the Polynomial approximation and the Akaike's Information Criterion. |
Class 8 | Data analysis: Fisher distribution | Fundamental theory and application of the Fisher distribution on a sphere. |
No specific textbook.
Materials necessary for the class will be given.
The score is determined from several reports on subjects related to the lecture.
No requirements.