Fundamental Linear Algebra

Course Information

College Tsuyama College Year 2021
Course Title Fundamental Linear Algebra
Course Code 0033 Course Category General / Compulsory
Class Format Lecture Credits School Credit: 2
Department Department of Integrated Science and Technology Advanced Science Program Student Grade 2nd
Term Year-round Classes per Week 2
Textbook and/or Teaching Materials
Instructor MATSUDA Osamu

Course Objectives

Purpose of learning: The purpose of learning is to understand the basic concepts and theories of linear algebra, to be able to apply them, and to be able to smoothly understand the mathematics to be learned.
Course Objectives:
1. To understand the operation of vectors between plane and space, and find the equations for straight lines, planes, and spheres in space.
2. To understand the definition of inverse matrix, find the inverse matrix of quadratic square matrices, and interpret multiplication as the inverse transformation of regular linear transformations.
3. To understand the definition and properties of determinants and be able to find the values ​​of basic determinants.
4. To understand the meaning of matrix eigen values ​​and eigen vectors, and be able to diagonalize matrices.

Rubric

Ideal LevelStandard LevelUnacceptable Level
Achievement 1Understand the operation of vectors of planes and spaces, and can apply them to the equations of straight lines, planes, and spheres in space.Understand the operation of vectors between planes and spaces, and can obtain equations for straight lines, planes, and spheres in space.Can't find the equations for straight lines, planes, and spheres in space.
Achievement 2Understand the definition of an inverse matrix, apply it to inverse matrices of quadratic square matrices, and understand the relationship between regular linear transformation and inverse transformation. Understand the definition of inverse matrix, can find the inverse matrix of a quadratic square matrix, and understand the relationship with inverse transformation.Don't understand the definition of the inverse matrix. can't find the inverse of a quadratic square matrix. Doesn't understand the relationship with the inverse transformation.
Achievement 3Understand the definition and properties of determinants and apply them to determinants.Understand the definition and properties of determinants and can find the values ​​of basic determinants. You can find the value of the basic determinant.Doesn't understand the definition and nature of determinants. Can't find the value of a basic determinant.
Achievement 4Clearly understand the eigenvalues ​​and eigenvectors of a matrix and diagonalize them.Can find eigenvalues ​​and eigenvectors of the matrix.Doesn't understand the meaning of matrix eigenvalues ​​and eigenvectors.

Assigned Department Objectives

Teaching Method

Outline:
General or Specialized : General

Field of learning : Natural science common / basic

Required, Elective: Elective must complete subjects

Foundational academic disciplines : Mathematical science / Mathematics / Foundations of mathematics

Relationship with JABEE programs : This subject is equivalent to "(2) Acquire basic science and technical knowledge".

Relationship with engineer education program: The main goal of learning / education in this subject is "(A)".

Course outline : Linear algebra is widely used not only in the natural sciences but also in engineering and economics. In this class, we first learn the basic properties of planes and space vectors. Next, we define matrices and determinants and apply them to the solution of simultaneous linear equations.
Style:
Course method: Proceed with the class while confirming the students' understanding.

Grade evaluation method: 4 regular examinations, weighted equally (70%) and reports and quizzes (30%). Retest depending on grades. The retest will be evaluated in the same way as regular tests, with a maximum of 80 points. Textbooks, notebooks, etc. are not allowed in the exam.
Notice:
Precautions on the enrollment : Students must take this class (no more than one-third of the required number of class hours missed) in order to complete the 2nd year course.

Course advice: This course is required to be taken (the number of absentee hours is less than 1/3 of the prescribed number of class hours) in order to complete the course of the academic year.

Foundational subjects : Fundamental Mathematics (1st year), Fundamental Mathematics Practice (1st)

Related subjects: Mathematics, physics, and other subjects after the third year

Attendance advice : If you are late after, you may be treated as absent after a warning.
Part-time lecturers are in charge of this subject. The liaison faculty member is Matsuda.

Characteristics of Class / Division in Learning

Active Learning
Aided by ICT
Applicable to Remote Class
Instructor Professionally Experienced

Course Plan

Theme Goals
1st Semester
1st Quarter
1st
Early Guidance, Planar Vector Calculations and Components

Understanding plane vector operations
2nd Inner product of vectors, parallel and vertical
Understanding vector dot product, parallel and vertical
3rd Application to figures, exercises Understanding of application to figures
4th Spatial coordinates Understanding spatial coordinates
5th Vector component of space Understanding the components of the vector in space
6th
inner product
Understanding the inner product
7th Sphere equation Understanding sphere equations
8th First term midterm exam
2nd Quarter
9th Mid-term exam return and commentary, straight and plane equations
Understanding straight and plane equations
10th Linear independence and linear dependence of vectors
Understanding Linear Independence and Linear Subordination of Vectors
11th Matrix definition and product of matrix sum, difference, number Understanding matrix definitions and the products of matrix sums, differences, and numbers
12th Exercises
13th Matrix multiplication, transposed matrix Understanding matrix multiplication and transposed matrix
14th Inverse matrix, inverse transformation Understanding of inverse matrix and inverse transformation
15th
Last term exam
16th Return and commentary of the final exam
2nd Semester
3rd Quarter
1st Late guidance
2nd Elimination, inverse matrix and simultaneous linear equations Understanding Elimination, Inverse Matrix, and System of Equations
3rd
Definition of determinant and nature of determinant
Understanding the definition of determinants and the nature of determinants
4th Matrix product determinant and matrix product and composite transformation Understanding determinant of matrix product, matrix product and synthetic transformation
5th Expansion of determinant and determinant and inverse matrix Understanding of expansion of determinant and determinant and inverse matrix
6th Determinant of matrix product, matrix product and composite transformation Understanding of determinant of matrix product, matrix product and composite transformation
7th Graphical meaning of determinant Understanding of graphical meaning of determinant
8th
Late midterm exam
4th Quarter
9th
Return and commentary of the mid-term exam
10th Definition of linear transformation, basic properties of linear transformation Understanding of definition of linear transformation, basic properties of linear transformation
11th Synthetic transformation and inverse transformation, transformation representing rotation Understanding of synthetic transformation and inverse transformation, transformation representing rotation
12th Orthogonal matrix and orthogonal transformation Understanding of orthogonal matrix and orthogonal transformation
13th Eigenvalues ​​and eigenvectors Understanding of eigenvalues ​​and eigenvectors
14th Calculation of eigenvalues ​​and eigenvectors, diagonalization of matrix
Understanding of calculation of eigenvalues ​​and eigenvectors, diagonalization of matrix
15th Late final exam
16th Return and commentary of the final exam

Evaluation Method and Weight (%)

ExaminationPresentationMutual Evaluations between studentsBehaviorPortfolioOtherTotal
Subtotal70000030100
Basic Proficiency70000030100
Specialized Proficiency0000000
Cross Area Proficiency0000000