2018 Experimental Methods of Earth and Planetary Sciences (safety and data analysis)

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Academic unit or major
Undergraduate major in Earth and Planetary Sciences
Instructor(s)
Tsunakawa Hideo  Yokoyama Tetsuya  Ueno Yuichiro  Ohta Kenji  Haba Makiko  Sato Bunei  Nakajima Junichi 
Course component(s)
Lecture
Day/Period(Room No.)
Fri3-4(I311)  
Group
-
Course number
EPS.L201
Credits
1
Academic year
2018
Offered quarter
1Q
Syllabus updated
2018/3/20
Lecture notes updated
-
Language used
Japanese
Access Index

Course description and aims

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.

Student learning outcomes

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.

Keywords

Safety management, Waste material, Data analysis, Statistical treatment

Competencies that will be developed

Intercultural skills Communication skills Specialist skills Critical thinking skills Practical and/or problem-solving skills
- - -

Class flow

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

  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.

Textbook(s)

No specific textbook.

Reference books, course materials, etc.

Materials necessary for the class will be given.

Assessment criteria and methods

The score is determined from several reports on subjects related to the lecture.

Related courses

  • EPS.L205 : Laboratory in Earth and Planetary Sciences (field geology)
  • EPS.L202 : Laboratory in Earth and Planetary Sciences (petrology)
  • EPS.L203 : Laboratory in Earth and Planetary Sciences (geochemistry)
  • EPS.L204 : Laboratory in Earth and Planetary Sciences (geophysical measurements)
  • EPS.B201 : Mathematics for Physics A (EPS course)
  • EPS.B210 : Mathematics for Physics B (EPS course)
  • EPS.A204 : Introduction to Earth and Planetary Physics

Prerequisites (i.e., required knowledge, skills, courses, etc.)

No requirements.

Other

This lecture is for undergraduate students in Department of the Earth and Planetary Sciences.

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