1461 件ヒット (0.024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)
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 the basics of linear algebra, such as operations of matrices, systems of linear equations, determinants of matrices.
Students will acquire relevant skills to perform certain computations.
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 the basics of linear algebra, such as operations of matrices, systems of linear equations, determinants of matrices.
Students will acquire relevant skills to perform certain computations.
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.
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.
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.
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.
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.
線形代数学Aに引き続き、ベクトル空間の基底、次元、固有値、内積、行列の標準化などを扱い、
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。
This course is a continuation of Linear Algebra, A. It covers the general notion of vector spaces and related notions such as basis, dimension, inner products, eigenvalues, and normal forms of matrices. Students will learn computational techniques along the way.
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.