723 件ヒット (0.046秒)：
Google Classroomのクラスコードは工学部Webページにて確認すること。
学部シラバス・時間割(https://www.eng.tohoku.ac.jp/edu/syllabus-ug.html)
計算機を活用して数学の問題を解く方法を学ぶ．そのためのソフトェアとしてMATLAB・Octaveを用いて行うが，その使い方よりも，数学的な技術を身に付けることに重きを置く．
最初にOctave（あるいはMATLAB）の基本的な使い方と簡単なプログラム作成方法を学んだ後，様々な問題を対象に，簡単なプログラミングによって数理的問題を解決する方法を学ぶ．講義時間は前半を問題およびその解法の説明に費やし，残り時間で，各自でレポート課題に取り組んでもらう．微積分，微分方程式，線形代数などの既習の数学だけでなく，数値計算，信号処理，数理統計や機械学習など未習の数学も対象とする．
本演習の目標は，Octave（あるいはMATLAB）を用いて，各演習で扱った各問題を解く能力を習得し，さらに，新しい問題に対してもどのように計算機を活用し得るかの心構えを得ることにある．
Google Classroom class code: aaicjmk
The class code for Google Classroom can be found on the Web site of
the School of Engineering:
https://www.eng.tohoku.ac.jp/edu/syllabus-ug.html (JP Only)
Students will learn how a computer can be used to solve mathematical problems. Although the course will use MATLAB or Octave for this purpose, its focus is more on mastering mathematical skills rather than learning how to use it.
Starting with the basic usage of Octave (or MATLAB) and how to write a program on it, students will learn how they can solve various mathematical problems by writing and executing simple programs. The first half of each class day will be spent for explaining problems and their solutions. Students will try to solve exercise problems the rest of the time. The course will cover not only mathematics that students have already learned, such as calculus, differential equation, linear algebra, etc., but also those that they have not learned, such as numerical computation, signal processing, statistics, machine learning, etc.
The goal of this course is to have students master skills of solving the specific problems considered in this course using Octave (or MATLAB) and futher obtain a concept of how they can utilize a computer to deal with novel problems.
Google Classroomのクラスコードは工学部Webページにて確認すること。
学部シラバス・時間割(https://www.eng.tohoku.ac.jp/edu/syllabus-ug.html)
計算機を活用して数学の問題を解く方法を学ぶ．そのためのソフトェアとしてMATLAB・Octaveを用いて行うが，その使い方よりも，数学的な技術を身に付けることに重きを置く．
最初にOctave（あるいはMATLAB）の基本的な使い方と簡単なプログラム作成方法を学んだ後，様々な問題を対象に，簡単なプログラミングによって数理的問題を解決する方法を学ぶ．講義時間は前半を問題およびその解法の説明に費やし，残り時間で，各自でレポート課題に取り組んでもらう．微積分，微分方程式，線形代数などの既習の数学だけでなく，数値計算，信号処理，数理統計や機械学習など未習の数学も対象とする．
本演習の目標は，Octave（あるいはMATLAB）を用いて，各演習で扱った各問題を解く能力を習得し，さらに，新しい問題に対してもどのように計算機を活用し得るかの心構えを得ることにある．
Google Classroom class code: kmuaau7
The class code for Google Classroom can be found on the Web site of
the School of Engineering:
https://www.eng.tohoku.ac.jp/edu/syllabus-ug.html (JP Only)
Students will learn how a computer can be used to solve mathematical problems. Although the course will use MATLAB or Octave for this purpose, its focus is more on mastering mathematical skills rather than learning how to use it.
Starting with the basic usage of Octave (or MATLAB) and how to write a program on it, students will learn how they can solve various mathematical problems by writing and executing simple programs. The first half of each class day will be spent for explaining problems and their solutions. Students will try to solve exercise problems the rest of the time. The course will cover not only mathematics that students have already learned, such as calculus, differential equation, linear algebra, etc., but also those that they have not learned, such as numerical computation, signal processing, statistics, machine learning, etc.
The goal of this course is to have students master skills of solving the specific problems considered in this course using Octave (or MATLAB) and futher obtain a concept of how they can utilize a computer to deal with novel problems.
Google Classroomのクラスコードは工学部Webページにて確認すること。
学部シラバス・時間割(https://www.eng.tohoku.ac.jp/edu/syllabus-ug.html)
計算機を活用して数学の問題を解く方法を学ぶ．そのためのソフトェアとしてMATLAB・Octaveを用いて行うが，その使い方よりも，数学的な技術を身に付けることに重きを置く．
最初にOctave（あるいはMATLAB）の基本的な使い方と簡単なプログラム作成方法を学んだ後，様々な問題を対象に，簡単なプログラミングによって数理的問題を解決する方法を学ぶ．講義時間は前半を問題およびその解法の説明に費やし，残り時間で，各自でレポート課題に取り組んでもらう．微積分，微分方程式，線形代数などの既習の数学だけでなく，数値計算，信号処理，数理統計や機械学習など未習の数学も対象とする．
本演習の目標は，Octave（あるいはMATLAB）を用いて，各演習で扱った各問題を解く能力を習得し，さらに，新しい問題に対してもどのように計算機を活用し得るかの心構えを得ることにある．
Google Classroom class code: dgm3ih7
The class code for Google Classroom can be found on the Web site of
the School of Engineering:
https://www.eng.tohoku.ac.jp/edu/syllabus-ug.html (JP Only)
Students will learn how a computer can be used to solve mathematical problems. Although the course will use MATLAB or Octave for this purpose, its focus is more on mastering mathematical skills rather than learning how to use it.
Starting with the basic usage of Octave (or MATLAB) and how to write a program on it, students will learn how they can solve various mathematical problems by writing and executing simple programs. The first half of each class day will be spent for explaining problems and their solutions. Students will try to solve exercise problems the rest of the time. The course will cover not only mathematics that students have already learned, such as calculus, differential equation, linear algebra, etc., but also those that they have not learned, such as numerical computation, signal processing, statistics, machine learning, etc.
The goal of this course is to have students master skills of solving the specific problems considered in this course using Octave (or MATLAB) and futher obtain a concept of how they can utilize a computer to deal with novel problems.
Google Classroomのクラスコードは工学部Webページにて確認すること。
学部シラバス・時間割(https://www.eng.tohoku.ac.jp/edu/syllabus-ug.html)
The class code for Google Classroom can be found on the Web site of
the School of Engineering:
https://www.eng.tohoku.ac.jp/edu/syllabus-ug.html (JP Only)
Students will learn how a computer can be used to solve mathematical problems. Although the course will use MATLAB or Octave for this purpose, its focus is more on mastering mathematical skills rather than learning how to use it.
Starting with the basic usage of Octave (or MATLAB) and how to write a program on it, students will learn how they can solve various mathematical problems by writing and executing simple programs. The first half of each class day will be spent for explaining problems and their solutions. Students will try to solve exercise problems the rest of the time. The course will cover not only mathematics that students have already learned, such as calculus, differential equation, linear algebra, etc., but also those that they have not learned, such as numerical computation, signal processing, statistics, machine learning, etc.
The goal of this course is to have students master skills of solving the specific problems considered in this course using Octave (or MATLAB) and futher obtain a concept of how they can utilize a computer to deal with novel problems.
Google Classroom class code: w6g4lfk
Google Classroomのクラスコードは工学部Webページにて確認すること。
学部シラバス・時間割 (https://www.eng.tohoku.ac.jp/edu/syllabus-ug.html)
1. 目的
この授業では，線形代数学の基礎事項を習得し，土木工学で必要な数理的・数値的処理に応用できるようになることを目的とする．
2. 概要
線形代数学の基礎概念である線形空間の数学構造と基底，線形写像と線形変換，行列の固有値・固有ベクトル，線形連立方程式などを学習する．また，数値積分，離散データの多項式近似，線形常微分方程式の解法，主成分分析など，土木工学のさまざまな場面で必要とされる数理的・数値的処理への応用例も学ぶ．
3. 達成目標等
この授業では，線形代数学の基礎概念を理解し，土木工学のさまざまな場面で必要とされるデータの数理的・数値的処理や解析に応用できるようになることを達成目標とする．
The class code for Google Classroom can be found on the Web site of
the School of Engineering:
https://www.eng.tohoku.ac.jp/edu/syllabus-ug.html (JP Only)
1. Objectives
The purpose of this class is to learn the basics of linear algebra and be able to apply it to the mathematical and numerical processing required in civil engineering.
2. Overview
In this class, students will learn the basic concepts of linear algebra, including the mathematical structure and basis of linear spaces, linear mapping and linear transformation, eigenvalues and eigenvectors of matrices, and simultaneous linear equations. Students will also learn examples of applications to mathematical and numerical processing required in various scenes of civil engineering, such as numerical integration, polynomial approximation of discrete data, solving linear ordinary differential equations, and principal component analysis.
3. Goal of Study
The goal of this class is to understand the basic concepts of linear algebra and be able to apply them to the mathematical and numerical processing and analysis of data required in various scenes of civil engineering.
線形代数学は多成分の量を扱う上で基本的であり、数学はもちろん、
理工系にとどまらない多くの分野の基礎となり、その発展を助けている。
この講義では、行列の演算、連立一次方程式、行列式の標準的な内容を扱い、
基礎的な計算力を身につけつつ線形代数学の初歩を学ぶ。
Linear algebra is an essential tool to handle multi-component quantities, and it helps developments not only of mathematics but also of natural sciences and social sciences.
This course covers fundamentals in linear algebra, such as operations of matrices, systems of linear equations, determinants of matrices.
Students will acquire relevant skills to perform certain computations.
行列の固有値と固有ベクトル，対角化，三角化を学ぶ．また，内積が定義されているベクトル空間について基本概念を学ぶ．さらに，線形代数の応用例を学ぶ．
Eigenvalues and eigenvectors of matrices are introduced. Using these concepts, students will learn diagonalization and triangularization of matrices. Furthermore, vector spaces with inner product will be treated. Finally, applications of linear algebra to various specialized topics
will be mentioned.
行列の固有値と固有ベクトル，対角化，三角化を学ぶ．また，内積が定義されているベクトル空間について基本概念を学ぶ．さらに，線形代数の応用例を学ぶ．
Eigenvalues and eigenvectors of matrices are introduced. Using these concepts, students will learn diagonalization and triangularization of matrices. Furthermore, vector spaces with inner product will be treated. Finally, applications of linear algebra to various specialized topics
will be mentioned.
線形代数学は多成分の量を扱う上での基本であり, 理工系にとどまらない多くの分野の基礎となっている。線形代数学Aでは, 線形代数学の初歩である行列と行列式, さらに線形写像を学ぶ。行列の基本的事項および行列の代数的な表現や諸演算を習得し, 行列式の定義やその役割, 連立１次方程式の諸解法を学ぶ。また, ベクトル空間からベクトル空間への線形写像の概念, それを行列により具体的に表現する方法を学ぶ。
Linear algebra is an essential tool to handle multi-component quantities, and it helps developments not only of mathematics but also of natural sciences and social sciences.
This course covers fundamentals in linear algebra, such as operations of matrices,
the definition and role of the determinant of a matrix, and the method of solving systems of linear equations. Furthermore, linear mappings between vector spaces and their matrix representations are treated.