2019年度 シラバス情報詳細

●時間割コード
20190053621

●科目区分
理系基礎科目

●科目名
数学特別講義(統計学)
●主担当教員名
RICHARD Serge charle

●単位数
2単位

●開講時期
前期
-・-
●対象学部
全学部(英語授業)



●本授業の目的およびねらい

Statistics deals with the collection, the analysis, the interpretation and the representation of data, always with the notion of uncertainty in the background. It plays a central role in many scientific investigations, and it is one of the most popular mathematical tools used in the industry. During this one semester course, the basic notions of statistics will be introduced. Depending on the interest of the audience, various concrete applications will be further developed.

●履修条件あるいは関連する科目等

Basic knowledge on calculus and linear algebra.
For more information, see 担当者からの言葉

●授業内容

Probability (a short reminder)
Common distributions
Statistical inference
Hypothesis testing
Regression models
Further applications

●成績評価の方法

The final grade will be based on the active participation during the lectures and on some written reports.

●教科書

Material will be provided during the lectures.

●参考書

Reference books will be provided during the lectures.

●注意事項

This course in an optional subject which does not count towards the number of credits required for graduation in any program at Nagoya University.

●本授業に関する参照Webページ

http://www.math.nagoya-u.ac.jp/~richard/SMLspring2019.html

●担当者からの言葉(Webページのみ表示)

Basic knowledge on calculus and linear algebra, as provided in Calculus I & II and in Linear algebra I & II. Some knowledge on probability as available on
http://www.math.nagoya-u.ac.jp/~richard/lecturefall2017.html
would also be useful, but the necessary material will be briefly reviewed at the beginning of the course. Motivated 1st year students can also attend without these prerequisites but after a discussion with the instructor.


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