Syllabus

SubjectLINEAR ALGEBRA [DS1]

Class Information

Faculty/Graduate School
POLICY MANAGEMENT / ENVIRONMENT AND INFORMATION STUDIES
Course Registration Number
08760
Subject Sort
B3104
Title
LINEAR ALGEBRA
Field
Fundamental Subjects - Subjects of Data Science - Data Science 1
Unit
2 Unit
Year/Semester
2023 Fall
K-Number
FPE-CO-03012-211-11
Year/Semester
2023 Fall
Day of Week・Period
Tue 4th
Lecturer Name
Tatsuya Hagino
Class Format
Face-to-face
Language
Japanese
Location
SFC
Class Style
*Please click here for more information on the correspondence between 'Class Style' and ’Active Learning Methods’.
Lecture, Seminar
GIGA Certificate
Not applied

Detail

Course Summary

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.