Faculty of Bioscience and Applied Chemistry

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PRI100YD（情報学基礎 / Principles of informatics 100）
Seminar in Statistical Analysis in Biology

Shusuke MATSUSHITA

Class code etc
Faculty/Graduate school Faculty of Bioscience and Applied Chemistry
Attached documents
Year 2022
Class code H8109
Previous Class code
Previous Class title
Term 春学期授業/Spring
Day/Period 金3/Fri.3
Class Type
Campus 小金井
Classroom name 各学部・研究科等の時間割等で確認
Grade
Credit(s)
Notes
Open Program
Open Program (Notes)
Global Open Program
Interdepartmental class taking system for Academic Achievers
Interdepartmental class taking system for Academic Achievers (Notes)
Class taught by instructors with practical experience
SDGs CP
Urban Design CP
Diversity CP
Learning for the Future CP
Carbon Neutral CP
Chiyoda Campus Consortium
Category 応用植物科学科
学科専門科目

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Outline (in English)

★Course outline
The fundamental theory of statistics for Bioscience and related fields will be introduced. Lectures, practices and exercises with "The R Statistical Computing Environment" on laptop PC are adopted and used as a part of the education approaches in this class.

★Learning Objectives
At the end of this course, students should be expected to do by themselves the followings:
1. To understand the theory of a statistical test that is used to find out if there is a real difference between the averages of two different groups.
2. To apply this test by using R Statistical Computing Environment

★Learning activities outside of classroom
During the period before next class, students will be expected to work the challenges the lecturer ask them to do at the end of each class

★Grading Criteria /Policy
Students are required to attend the class more than 60% of all classes and their grade can be evaluated based on the following:
Term-end examination: 80%, Short reports : 20%,

Default language used in class

日本語 / Japanese