Management Information Ⅱ

Course Information

College	Toyama College	Year	2021
Course Title	Management Information Ⅱ
Course Code	0142	Course Category	Specialized / Elective
Class Format	Lecture	Credits	School Credit: 1
Department	Department of International Business	Student Grade	4th
Term	Second Semester	Classes per Week	2
Textbook and/or Teaching Materials
Instructor	Hagiwara Shingo

Course Objectives

1) To be able to explain the basic testing methods in probability statistics.
2) To be able to explain the basic estimation methods in probability statistics.
3) Explain the basics of linear algebra.

Rubric

	Ideal Level of Achievement (Very Good)	Standard Level of Achievement (Good)	Unacceptable Level of Achievement (Fail)
Evaluation 1	Understand and be able to use test methods in probability statistics.	To understand and be able to use testing methods in probability statistics.	Cannot understand and use test methods in probability statistics.
Evaluation 2	Understand and be able to use estimation methods in probability statistics.	Understand and be able to use estimation methods in probability statistics.	Cannot understand and use estimation methods in probability statistics.
Evaluation 3	Understand and be able to calculate linear algebra.	Understand and be able to calculate linear algebra.	Understand and be able to calculate linear algebra.

Assigned Department Objectives

ディプロマポリシー 1 （経営学，外国語と異文化理解，情報処理の知識，技能を総合的に身につけ，それらを応用したビジネス活動ができる。）

Teaching Method

Outline:

In order to be able to analyze and understand information in management, it is necessary to understand the validity of the results of that analysis. For this reason, methods for testing the results of analysis will be taught in this lecture. In this lecture, we will learn how to test the results of the analysis. We will also learn the basic methods of estimation, since the data analyzed in this way will be used for estimation. In addition, since linear algebra is necessary as a basis for such statistical methods, students will understand linear algebra and the structure of the analysis methods.

Style:

The course will be conducted in a lecture format by the instructor alone.

Notice:

Students who do not receive a grade of 60 may, upon request, receive a supplementary assignment. Students who have been approved for credit as a result of the additional work will receive a grade of 60.

Course Plan

			Theme	Goals
2nd Semester
	3rd Quarter
		1st	Outline	Explanation of the lecture schedule
		2nd	Certification	To understand probability distribution.
		3rd	Certification	Understand t-value and p-value.
		4th	Certification	Understand t-test and F-test
		5th	Estimation	Multiple regression analysis
		6th	Estimation	Understanding logistic regression
		7th	Linear Algebra	Understand vector analysis
		8th	Linear Algebra	Understand vector analysis
	4th Quarter
		9th	Linear Algebra	Understand the basic calculations of matrices.
		10th	Linear Algebra	Understand regular and inverse matrices.
		11th	Linear Algebra	To understand the cosine expansion of determinants.
		12th	Linear Algebra	To understand the cosine factor expansion of determinants.
		13th	Linear Algebra	To understand the eigenvalues and eigenvectors of determinants.
		14th	Linear Algebra	To understand the eigenvalues and eigenvectors of determinants.
		15th	Term examination	Confirmation of learning content.
		16th	Confirmation of score	Summalize the lecture and confirm the score.

Evaluation Method and Weight (%)

	Examination	Issue	Total
Subtotal	80	20	100
Basic Ability	50	10	60
Technical Ability	30	10	40