概論二
データ分析がどのように利用されるかの具体例を，プログラム実装を意識ながら解説するとともに，画像解析など「目で見てわかりやすい」メディア処理を通して学ぶ．
This class will cover the practical technique of data analysis learned at the lecture ‘Basic techniques for data science’. In this class, the data analysis will be applied in several examples. In order to easily understand how to use the analysis techniques, the process of the analysis is visualized using graphs in the practices. The target students of this lecture are who need data analysis for their research but they do not major in informatics science.
演習一
"全学の（情報系を専攻としない）学生のうち，各自の研究においてデータ分析が必要となった者を対象として，自分でデータ分析プログラムを実装するための準備的演習を行う。具体的には，「目で結果がわかりやすい」か
つ「大規模なデータを扱うことになる」画像解析を題材として，プログラミングを一から学ぶ。（受講者数過多の場合は，簡単な書面選考を行う。）"
In this class, students will learn the programming skill to implement data analysis methods. This class will cover the introduction of programming in Python for students who have no experience in programming, and students apply the program code to several examples. The requirement of this class is that student must attend the “Media processing techniques for data science”. If the number of students registering this class reaches the maximum enrollment, the applicants will have been selected via document screening.
"科目の詳細は
https://goo.gl/dWE3Qq
を参照のこと．
データ分析がどのように利用されるかの具体例を，プログラム実装を意識ながら解説するとともに，画像解析など「目で見てわかりやすい」メディア処理を通して学ぶ．
This class will cover the practical technique of data analysis learned at the lecture ‘Basic techniques for data science’. In this class, the data analysis will be applied in several examples. In order to easily understand how to use the analysis techniques, the process of the analysis is visualized using graphs in the practices. The target students of this lecture are who need data analysis for their research but they do not major in informatics science.
演習一
"全学の（情報系を専攻としない）学生のうち，各自の研究においてデータ分析が必要となった者を対象として，自分でデータ分析プログラムを実装するための準備的演習を行う。具体的には，「目で結果がわかりやすい」か
つ「大規模なデータを扱うことになる」画像解析を題材として，プログラミングを一から学ぶ。（受講者数過多の場合は，簡単な書面選考を行う。）"
In this class, students will learn the programming skill to implement data analysis methods. This class will cover the introduction of programming in Python for students who have no experience in programming, and students apply the program code to several examples. The requirement of this class is that student must attend the “Media processing techniques for data science”. If the number of students registering this class reaches the maximum enrollment, the applicants will have been selected via document screening.
"科目の詳細は
https://goo.gl/dWE3Qq
を参照のこと．