14717 items found.
This class is an introduction to linear algebra. Linear algebra is a theory about vectors and matrices, and has many applications in data science, economics, engineering etc. In fact, linear algebra and calculus are considered as the most important mathematics at universities. In this class, we will learn the basic ideas of linear algebra from both algebraic and geometric point of views.
This class is an introduction to linear algebra. Linear algebra is a theory about vectors and matrices, and has many applications in data science, economics, engineering etc. In fact, linear algebra and calculus are considered as the most important mathematics at universities. In this class, we will learn the basic ideas of linear algebra from both algebraic and geometric point of views.
This class is an introduction to linear algebra. Linear algebra is a theory about vectors and matrices, and has many applications in data science, economics, engineering etc. In fact, linear algebra and calculus are considered as the most important mathematics at universities. In this class, we will learn the basic ideas of linear algebra from both algebraic and geometric point of views.
This class is an introduction to calculus. Differential and integral calculus is a theory for analyzing changes and accumulations of targets, respectively, and has many applications in data science, economics, science and engineering, etc. In fact, calculus and linear algebra are considered as the most important mathematics at universities. In this class, we will learn not only calculus of one variable functions but also polynomial approximation of one variable functions and calculus of multivariate functions.
This class is an introduction to calculus. Differential and integral calculus is a theory for analyzing changes and accumulations of targets, respectively, and has many applications in data science, economics, science and engineering, etc. In fact, calculus and linear algebra are considered as the most important mathematics at universities. In this class, we will learn not only calculus of one variable functions but also polynomial approximation of one variable functions and calculus of multivariate functions.
In this class, students are expected to study about basic statistics by analyzing data empirically. Basic techniques such as data collection, statistical analysis and presentation are introduced.
Lectures include (1) description of data such as average, variance and correlation, (2) basics of probability theories such as population and samples, stochastic distributions and sample distributions, and (3) statistical models such as regression analysis and analysis of variance.
Lecturers might change contents of syllabus.
This class is an introduction to calculus. Differential and integral calculus is a theory for analyzing changes and accumulations of targets, respectively, and has many applications in data science, economics, science and engineering, etc. In fact, calculus and linear algebra are considered as the most important mathematics at universities. In this class, we will learn not only calculus of one variable functions but also polynomial approximation of one variable functions and calculus of multivariate functions.
In this class, students are expected to study about basic statistics by analyzing data empirically. Basic techniques such as data collection, statistical analysis and presentation are introduced.
Lectures include (1) description of data such as average, variance and correlation, (2) basics of probability theories such as population and samples, stochastic distributions and sample distributions, and (3) statistical models such as regression analysis and analysis of variance.
Lecturers might change contents of syllabus.
This class is an introduction to calculus. Differential and integral calculus is a theory for analyzing changes and accumulations of targets, respectively, and has many applications in data science, economics, science and engineering, etc. In fact, calculus and linear algebra are considered as the most important mathematics at universities. In this class, we will learn not only calculus of one variable functions but also polynomial approximation of one variable functions and calculus of multivariate functions.
This class is an introduction to calculus. Differential and integral calculus is a theory for analyzing changes and accumulations of targets, respectively, and has many applications in data science, economics, science and engineering, etc. In fact, calculus and linear algebra are considered as the most important mathematics at universities. In this class, we will learn not only calculus of one variable functions but also polynomial approximation of one variable functions and calculus of multivariate functions.
This class is an introduction to calculus. Differential and integral calculus is a theory for analyzing changes and accumulations of targets, respectively, and has many applications in data science, economics, science and engineering, etc. In fact, calculus and linear algebra are considered as the most important mathematics at universities. In this class, we will learn not only calculus of one variable functions but also polynomial approximation of one variable functions and calculus of multivariate functions.
This course is an introduction to data science, covering the fundamentals of statistics and its elementary applications. Students learn introductory techniques for collecting and organizing data, statistical analysis, and presentation.
Specifically, the course covers descriptive statistics such as mean, variance, and correlation of data, population and sample, probability distribution and sample distribution, inferential statistics such as estimation and test, and statistical analysis such as analysis of variance and regression analysis.
This course may differ in its content and procedures depending on the person in charge, even if they have the same course title. Please examine the contents carefully before making your selection.
This class is an introduction to calculus. Differential and integral calculus is a theory for analyzing changes and accumulations of targets, respectively, and has many applications in data science, economics, science and engineering, etc. In fact, calculus and linear algebra are considered as the most important mathematics at universities. In this class, we will learn not only calculus of one variable functions but also polynomial approximation of one variable functions and calculus of multivariate functions.
In this class, students are expected to study about basic statistics by analyzing data empirically. Basic techniques such as data collection, statistical analysis and presentation are introduced.
Lectures include (1) description of data such as average, variance and correlation, (2) basics of probability theories such as population and samples, stochastic distributions and sample distributions, and (3) statistical models such as regression analysis and analysis of variance.
Lecturers might change contents of syllabus.
This class is an introduction to calculus. Differential and integral calculus is a theory for analyzing changes and accumulations of targets, respectively, and has many applications in data science, economics, science and engineering, etc. In fact, calculus and linear algebra are considered as the most important mathematics at universities. In this class, we will learn not only calculus of one variable functions but also polynomial approximation of one variable functions and calculus of multivariate functions.
This class is an introduction to calculus. Differential and integral calculus is a theory for analyzing changes and accumulations of targets, respectively, and has many applications in data science, economics, science and engineering, etc. In fact, calculus and linear algebra are considered as the most important mathematics at universities. In this class, we will learn not only calculus of one variable functions but also polynomial approximation of one variable functions and calculus of multivariate functions.
This class is an introduction to calculus. Differential and integral calculus is a theory for analyzing changes and accumulations of targets, respectively, and has many applications in data science, economics, science and engineering, etc. In fact, calculus and linear algebra are considered as the most important mathematics at universities. In this class, we will learn not only calculus of one variable functions but also polynomial approximation of one variable functions and calculus of multivariate functions.
In this class, students are expected to study about basic statistics by analyzing data empirically. Basic techniques such as data collection, statistical analysis and presentation are introduced.
Lectures include (1) description of data such as average, variance and correlation, (2) basics of probability theories such as population and samples, stochastic distributions and sample distributions, and (3) statistical models such as regression analysis and analysis of variance.
Lecturers might change contents of syllabus.
This class is an introduction to calculus. Differential and integral calculus is a theory for analyzing changes and accumulations of targets, respectively, and has many applications in data science, economics, science and engineering, etc. In fact, calculus and linear algebra are considered as the most important mathematics at universities. In this class, we will learn not only calculus of one variable functions but also polynomial approximation of one variable functions and calculus of multivariate functions.
In this class, students are expected to study about basic statistics by analyzing data empirically. Basic techniques such as data collection, statistical analysis and presentation are introduced.
Lectures include (1) description of data such as average, variance and correlation, (2) basics of probability theories such as population and samples, stochastic distributions and sample distributions, and (3) statistical models such as regression analysis and analysis of variance.
Lecturers might change contents of syllabus.
This class is an introduction to calculus. Differential and integral calculus is a theory for analyzing changes and accumulations of targets, respectively, and has many applications in data science, economics, science and engineering, etc. In fact, calculus and linear algebra are considered as the most important mathematics at universities. In this class, we will learn not only calculus of one variable functions but also polynomial approximation of one variable functions and calculus of multivariate functions.
We will learn about the properties of vectors and matrices as these are basic concepts. We will also learn how to solve simultaneous equations using matrices. After that, we will learn about the uses of linear algebra used in our lives, including applications to technology such as computer search, computer graphics, error correction and quantum computing. Linear algebra is among the most fundamental and useful fields of mathematics, and the material here will benefit learners in many other classes at SFC.
We study matrices and vectors, in particular, how to solve the simultaneous equation, how to calculate the determinant and the inverse matrices. Moreover, by abstracting these concepts, we study linear spaces and linear mapping. Then a matrix can be regarded as a linear mapping. Especially, eigenvalues and eigenvectors of the matrix, and the matrix diagonalization characterize the mapping. We often encounter these concepts in other mathematical fields including statistics.
行列とベクトルを学習します。連立一次方程式の解法、行列式、逆行列など行列やベクトルに関するいろいろな計算を習得すると共に、線形空間とその間の線形写像という抽象的な概念を理解します。行列は一次変換とみなされ、その固有値と固有ベクトル、行列の対角化はそのは一次変換を特徴付けます。統計学を含む多くの分野で現われる概念です。
We study matrices and vectors, in particular, how to solve the simultaneous equation, how to calculate the determinant and the inverse matrices. Moreover, by abstracting these concepts, we study linear spaces and linear mapping. Then a matrix can be regarded as a linear mapping. Especially, eigenvalues and eigenvectors of the matrix, and the matrix diagonalization characterize the mapping. We often encounter these concepts in other mathematical fields including statistics.