2024 Faculty Courses School of Science Undergraduate major in Earth and Planetary Sciences
Experimental Methods of Earth and Planetary Sciences (safety and data analysis)
- Academic unit or major
- Undergraduate major in Earth and Planetary Sciences
- Instructor(s)
- Tetsuya Yokoyama / Akira Ishikawa
- Class Format
- Lecture (Face-to-face)
- Media-enhanced courses
- -
- Day of week/Period
(Classrooms) - 3-4 Fri
- Class
- -
- Course Code
- EPS.L201
- Number of credits
- 100
- Course offered
- 2024
- Offered quarter
- 1Q
- Syllabus updated
- Mar 17, 2025
- Language
- Japanese
Syllabus
Course overview and goals
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.
Course description and aims
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
- Specialist skills
- Intercultural skills
- Communication 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/Objectives
| Course schedule | Objectives | |
|---|---|---|
| Class 1 | Safety management: Introduction | Understanding objectives of the class. |
| Class 2 | Safety management: Chemical reagents | Learning the dangers of chemical reagents |
| Class 3 | Safety management: Risks in experimental studies | Learn safety management for field works, chemistry experiments, high pressure and temperatures, high voltage, etc. |
| Class 4 | Safety management: How to treat waste materials | Learning the university regulations of waste materials and risk assessment. |
| Class 5 | Data analysis: Normal distribution and Errors | Learning the basics and simple applications of the normal distribution. Learning errors in experimental and observational data. |
| Class 6 | Data analysis: Error propagation and the least squares method | Learning error propagation and how to apply the least squares method to experimental and observational data. |
| Class 7 | Data analysis: Polynomial approximation | Learning how to apply polynomial approximations to experimental and observational data. |
Study advice (preparation and review)
To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for class and another 100 minutes reviewing class content afterwards (including assignments) for each class.
They should do so by referring to textbooks and other course material.
Textbook(s)
No specific textbook.
Reference books, course materials, etc.
Materials necessary for the class will be given.
Evaluation methods and criteria
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
No requirements.
Other
This lecture is for undergraduate students in Department of the Earth and Planetary Sciences.