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2017　Computational Planetary Science

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Academic unit or major
Undergraduate major in Earth and Planetary Sciences
Instructor(s)
Nomura Hideko  Taki Tetsuo 
Class Format
Lecture / Exercise     
Media-enhanced courses
Day/Period(Room No.)
Tue5-8(I2-318,S4演習室)  Fri5-8(I2-318,S4演習室)  
Group
-
Course number
EPS.L330
Credits
4
Academic year
2017
Offered quarter
3Q
Syllabus updated
2017/3/17
Lecture notes updated
-
Language used
Japanese
Access Index

Course description and aims

The methods of numerical analysis and numerical experiments are major pillars in Earth and planetary sciences, ranging from large-scale numerical calculation methods for various processes on earth and in space to numerical computations for analysis. In this course, the instructor will give lectures and exercises about the fundamentals of numerical calculations – matrix computations, solutions of non-linear equations and ordinary differential equations, numerical integration, solutions of partial differential equations, and the like. Students will also learn to use UNIX at the basic level and create graphs. In addition, students themselves work on numerical calculations for advanced problems applied to actual problems with earth and planetary sciences, from problem setting, development of a calculation method, execution, to the physical interpretation. They will make a presentation on their own study toward the end of the exercises. One class session consists of lectures and exercises for two periods each.

Student learning outcomes

The goal of this course is to acquire the ability to make basic numerical calculations to carry out numerical analysis and numerical experiments necessary for the earth and planetary science research. Specifically, students will be given lectures and exercises about basic UNIX and numerical calculation methods. In addition, students are expected to acquire the ability to apply numerical calculations to various processes on earth and in space and to make a physical interpretation on the calculation results.

Keywords

numerical calculation methods and exercises

Competencies that will be developed

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

Class flow

Numerical calculation methods in the first half of the course and exercises in the second half

Course schedule/Required learning

  Course schedule Required learning
Class 1 the basics of UNIX and programing the basics of UNIX and programing
Class 2 logistic model and how to plot figures logistic model and how to plot figures
Class 3 numerical calculations and errors numerical calculations and errors
Class 4 system of linear equations and matrix system of linear equations and matrix
Class 5 nonlinear equation nonlinear equation
Class 6 numerical differentiation and precision numerical differentiation and precision
Class 7 numerical integration numerical integration
Class 8 ordinary differential equation, Runge-Kutta method ordinary differential equation, Runge-Kutta method
Class 9 system of ordinary differential equations system of ordinary differential equations
Class 10 partial differential equation, explicit and implicit methods partial differential equation, explicit and implicit methods
Class 11 advection equation advection equation
Class 12 set the research problem set the research problem
Class 13 perform calculations perform calculations
Class 14 analysis of the results analysis of the results
Class 15 presentation presentation

Textbook(s)

nothing

Reference books, course materials, etc.

announced during the lectures

Assessment criteria and methods

report and presentation of exercises

Related courses

  • nothing

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

nothing

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