Numbering Code	G-INF02 63286 LE81 G-INF02 63286 LE13 G-INF02 63286 LE80	Year/Term	2022 ・ Second semester
Number of Credits	2	Course Type	Lecture
Target Year		Target Student
Language	English	Day/Period	Tue.4
Instructor name	OHTE NOBUHITO (Graduate School of Informatics Professor) Lina Koyama (Graduate School of Informatics Associate Professor) NISHIZAWA HIDEAKI (Graduate School of Informatics Assistant Professor) VINCENOT, Christian (Graduate School of Informatics Assistant Professor)
Outline and Purpose of the Course	The lectures will teach students to effectively collect information, analyze data, and present findings for biological and ecological studies.　(This class will be held in Japanese with support in English if needed.)
Course Goals	To understand basic information processing concerning living resources and the environment, and acquire the methods necessary for their study. Furthermore, to apply these methods to each research theme.
Schedule and Contents	1. Orientation ２. What is the biosphere information? 3. Information in environmental sciences ４. Fundamentals of Geostatistics 1． ５. Fundamentals of Geostatistics 2． ６. Fundamentals of Geostatistics 3． ７. Fundamentals of Geostatistics, Practice ８. Agent-based modeling in biosphere 1. ９. Agent-based modeling in biosphere 2. １０. Agent-based modeling in biosphere 3. １１. Spatial analysis / Animal movement analysis 1． １２. Spatial analysis / Animal movement analysis 2． １３. Spatial analysis / Animal movement analysis 3． １４. Spatial analysis / Animal movement analysis, Practice １５. Questions, feedback
Evaluation Methods and Policy	Grading method: evaluated through the practice report, etc. Evaluation criteria: Understanding of basic information processing regarding living resources and the environment. Mastering the basic techniques for information processing.
Course Requirements	None
Study outside of Class (preparation and review)	Data collection and analysis are assigned as homework, if not finished in class. Preparation for the midterm/final presentations is required.
References, etc.	Reference books will be introduced during the lecture.