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This course is about techniques and strategies for making presentations of academic nature. The main objective of the course is to strengthen academic communication competency. The course is taught in English.
The language components of the course are speaking, listening and open discussion. Students improve on these skills through weekly speech projects done either individually or in small groups.
At the end of the course, students will be able to argue and present their personal ideas in a manner that is academically sound and logical.
This lecture handles several issues on Japanese language education as a second language.
In April 2019, the revised immigration law was enforced to promote a system where more international workers could stay in Japan. Additionally in June 2019, the law promoting Japanese language education was enacted in order to support foreigners living in Japanese society. This lecture focuses on understanding the current state of the Japanese language education and the state of those who need such education in Japan, and discusses Japanese language education overseas, it’s recent history, and what the future holds. Moreover, students will understand the features of the Japanese language, and learn the skills and attitudes of controlling their Japanese language usage to pursue better communication with various Japanese speakers.
Real-world interface design
This course is about techniques and strategies for making presentations of academic nature. The main objective of the course is to strengthen academic communication competency.
The course is taught in English. The language components of the course are speaking, listening and open discussion. Students improve on these skills through weekly speech projects done either individually or in small group. At the end of the course, students will be able to argue and present their personal ideas in a manner that is academically sound and logical.
We study matrices and vectors, in particular, how to solve the simultaneous equation, how to calculate the determinant and the inverse matrices. Moreover,
by abstracting these concepts, we study linear spaces and linear mapping.
Then a matrix can be regarded as a linear mapping. Especially, eigenvalues and eigenvectors of the matrix, and the matrix diagonalization characterize the mapping. We often encounter these concepts in other mathematical fields including statistics.