IGESS (Institute for Global Economics and Social Sciences)

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MAT100CB(数学 / Mathematics 100)
Elementary Mathematics B

Masanori ITAI

Class code etc
Faculty/Graduate school IGESS (Institute for Global Economics and Social Sciences)
Attached documents
Year 2023
Class code A9617
Previous Class code
Previous Class title
Term 春学期授業/Spring
Day/Period 木3/Thu.3
Class Type
Campus 市ヶ谷 / Ichigaya
Classroom name 市BT‐0608
Grade 1~4
Credit(s) 2
Notes
Open Program
Open Program (Notes)
Global Open Program
Interdepartmental class taking system for Academic Achievers
Interdepartmental class taking system for Academic Achievers (Notes)
Class taught by instructors with practical experience
SDGs CP
Urban Design CP
Diversity CP
Learning for the Future CP
Carbon Neutral CP
Chiyoda Campus Consortium
Category General Education Courses/総合教育科目
Natural Sciences/自然分野
Faculty Sponsored Department IGESS

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Outline and objectives

This course continues Elementary Mathematics A and provide you with more advanced mathematics such as partial differentiation, matrix algebra, probability and the integration which will be useful to understand economy theory.

Goal

You will learn how to solve basic problems in calculus of multiple variables, matrix algebra, probability, and the integration, and be able to confidently contribute to workplace discussions involving mathematics.

Which item of the diploma policy will be obtained by taking this class?

IGESS Dipromapolicy DP2/DP9

Default language used in class

英語 / English

Method(s)(学期の途中で変更になる場合には、別途提示します。 /If the Method(s) is changed, we will announce the details of any changes. )

All classes for this course are discussion-based. Students will be encouraged to participate in discussions, ask questions, or even give an impromptu presentation if it is appropriate and helpful for everyone. There will also be regular homework assignments, which must be completed in writing and submitted by a given deadline. Homework assignments are to be submitted in class, and will be returned at the beginning of the following class. Individual written feedback will be provided as appropriate, and general comments regarding the homework submissions will be made in class.

Active learning in class (Group discussion, Debate.etc.)

あり / Yes

Fieldwork in class

なし / No

Schedule

授業形態/methods of teaching:対面/face to face

※各回の授業形態は予定です。教員の指示に従ってください。

1[対面/face to face]:The differential calculus, part 2

Review of differential calculus of one variable.

2[対面/face to face]:Partial derivative, total derivative, tangent plane

Notation and basic rules of partial differentiation.

3[対面/face to face]:Utility maximization

Definition and computation of utility

4[対面/face to face]:Method of Lagrange multipliers

Finding maximum and minimum by the method of Lagrange multipliers

5[対面/face to face]:Matrix algebra, multiplication, inverse, determinants

Addition, multiplication of matrices, definition of inverse matrix.

6[対面/face to face]:Least squares method

Curve fitting by least squares method

7[対面/face to face]:Regression analysis

Definition and basic examples

8[対面/face to face]:Probability and risk management

Definition, notation and basic example of risk management

9[対面/face to face]:Conditional probability, Bayes' theorem

Definition, basic examples of application of Bayes' theorem

10[対面/face to face]:Expectation

Notation and basic rules of expectation

11[対面/face to face]:Integration

Definite and indefinite integration

12[対面/face to face]:Distribution functions, density functions

Definition, notation and basic examples

13[対面/face to face]:Integration and auction

Application of integration in auction

14[対面/face to face]:Summary and final examination

Summary of course and finalexamination

Work to be done outside of class (preparation, etc.)

Students are assumed to read Lecture notes before class and
prepare for discussions in class.
The standard preparation and review time for this class is 2 hours each.

Textbooks

Lecture notes will be provided before class via SSS.

References

(1) A. C. Chiang, Fundamental Methods of Mathematical Economics 3rd ed.,
McGraw-Hill, Inc.1984
(2) M. Rosser, Basic Mathematics for Economists 2nd ed., Rotledge, 2003

Purchase is not required.

Grading criteria

Grading will be based on eight assignments and the final examination.
Each assignment weighs 5% and the final examination weighs 60%.

Changes following student comments

This course is entirely discussion-based. Students will always have the opportunity to express their opinions and ask for changes. Suggested changes will be discussed in class. If there is general agreement, changes will be made.

Equipment student needs to prepare

It would be useful if you bring a notepad and some paper. Otherwise, you do not need to prepare any equipment for this class.

Others

Please note that if the number of students attending the first class significantly exceeds expectations, in order for the instructor to effectively manage the class, the number of students who are allowed to register for the course may be limited.