Michio Aoyama Visiting Professor, Faculty of Life and Environmental Sciences
- Michio AoyamaVisiting Professor, Faculty of Life and Environmental Sciences
- University degrees:
1977 Meteorological College
1999 Kanazawa Univ. degree in Doctor of Science
Visiting Professor (since April 2019- )
Faculty of Life and Environmental Sciences
Univ. of Tsukuba
Invited senior Scientist (since April 2014- )
Research Institute of Global Change
The Japan Agency for Marine-Earth Science and Technology
April 1984 - March 1989: Scientist, Geochemical Research Department, Meteorological Research Institute
April 1989- September 1993: Senior Technical Officer, Nagasaki Marine Observatory
October 1993- March 1996: Senior Scientist, Ocean Research Department, The Japan Agency for Marine-Earth Science and Technology (JAMSTEC)
April 1996- January 2014: Senior Scientist, Geochemical Research Department, Meteorological Research Institute
February 2014- March 2019: Professor, Institute of Environment Radioactivity, Fukushima Univ.
Other major international projects:
WOCE WHP PC committee member 1995-2000
Co-Chair of Joint IOC-ICES Study Group on Nutrient Standards (SGONS), 2010, 2011
Co-Chair of SCOR WG#147 Towards comparability of global oceanic nutrient data (COMPONUT) 2015-2019
Published 154 peer reviewed research papers in international journals and 14 books.
Author and co-authors of 14 international reports and 6 data books.
- Data Science
- In October 2019, the University of Tsukuba launched the "Data Science" as a common subject for information education. The purpose of the "Data Science" class is to understand the basic concepts of data science and to learn basic data analysis techniques using computers. Through data collection, data management, data visualization, and data analysis, we aim to acquire practical methods for understanding and utilizing data, touch on examples of advanced data science, and gain an understanding of the specific use of data in society. This site provides video lectures that you can use to learn about the collection, management, and utilization of data in each academic field.