Course Name Year Term Period Faculty / Graduate School All Instructors Credits
50581:Introduction to Mathematics for Policy Studies(P) 2025 Fall Thu1 College　Of　Policy　Science ANDO YUTA 2

Campus

OIC

Class Venue

AS451

Language

English

Course Outline and Method

This course provides students with essential mathematical tools for Policy Science. With increasing data availability, policy questions can be analyzed quantitatively, making it crucial for students to have a strong grasp of mathematical fundamentals. The course covers various topics to help students tackle policy questions from a mathematical perspective.

Student Attainment Objectives

On completion of this course, students should be able to:
- interpret and apply functional notation,
- graph linear and quadratic functions,
- understand logarithms and apply their properties,
- translate word problems into mathematical expressions,
- understand and calculate limits.

Recommended Preparatory Course

Course Schedule

Lecture/Instructor（When there are multiple instructors) Theme
Keyword, References and Supplementary Information
1

 Introduction; Linear Equations and Graphs

Linear Equations and Inequalities; Graphs and Lines; Linear Regression
【+R-Jugyo】Information for “+R-Jugyo” will be posted on manaba+R.

2

Functions and Graphs 1

Functions ; Elementary Functions; Quadratic Functions

3

Functions and Graphs 2

Polynomial and Rational Functions

4

Functions and Graphs 3

Exponential Functions

5

Functions and Graphs 4

Logarithmic Functions

6

Limits and the Derivative 1

Introduction to Limits

7

Limits and the Derivative 2; Summary test 1

Infinite Limits and Limits at Infinity

8

Limits and the Derivative 3

The Derivative

9

Limits and the Derivative 4

Basic Differentiation Properties

10

Probability 1

Sample Spaces, Events, and Probability

11

Probability 2

Union, Intersection, and Complement of Events; Odds

12

Probability 3

Conditional Probability, Intersection, and Independence

13

Probability 4

Bayes' Formula

14

Probability 5; Summary test 2

Random Variable, Probability Distribution, and Expected Value

Class Format

14 classes on Face to Face basis

Recommendations for Private Study

Materials used in the class will be distributed in advance. Please prepare and review as needed. Homework may also be assigned several times.

Grade Evaluation Method

Kind Percentage Grading Criteria etc.
Final Examination (Written)

Report Examination
(A report to be submitted by the unified deadline)

Exams and/or Reports other than those stated above, and Continuous Assessment　
(Evaluation of Everyday Performance in Class)		 100

50%: Summary tests
50%: Mini tests / homework

Grade Evaluation Method （Note）

Summary tests will be conducted twice. Mini tests or homework will be given or assigned at the end of each class.

Advice to Students on Study and Research Methods

Textbooks

Textbooks （Frequency of Use, Note）

Reference Books

Title Author Publisher ISBN Code Comment
College Mathematics for Business, Economics, Life Sciences and Social Sciences Books a la Carte Edition 14th ed. Raymond A. Barnett, Michael R. Ziegler, Karl E. Byleen, Christopher J. Stocker Pearson Education 9780134676081

Reference Books （Frequency of Use, Note）

Web Pages for Reference

How to Communicate with the Instructor In and Out of Class(Including Instructor Contact Information)

Learning Management System （manaba+R）,Talk with Students

Other Comments

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