63060101 Foundation Mathematics for Health Science

Hiroshima University Syllabus

Japanese

Academic Year 2024Year School/Graduate School Liberal Arts Education Program

Lecture Code 63060101 Subject Classification Foundation Courses

Subject Name ヘルスサイエンスのための基盤数学[1医看,1医理,1医作,1歯工]

Subject Name
（Katakana）ヘルスサイエンスノタメノキバンスウガク

Subject Name in
English Foundation Mathematics for Health Science

Instructor KAKEHASHI MASAYUKI

Instructor
(Katakana) カケハシ　マサユキ

Campus Kasumi Semester/Term 1st-Year,  First Semester,  1Term

Days, Periods, and Classrooms (1T) Tues9-10,Fri9-10：霞R204講義室

Lesson Style Lecture Lesson Style
(More Details) 　

Lecture (partly, exercise). Please bring your PC to use Mathematics software and Web（Moodle).  Opportunities for exercises will be provided if appropriate. When necessary, we may offer online lessons using MS Teams.

Credits 2.0 Class Hours/Week 　 Language of Instruction J : Japanese

Course Level 1 : Undergraduate Introductory

Course Area（Area） 25 : Science and Technology

Course Area（Discipline） 01 : Mathematics/Statistics

Eligible Students

Keywords

Special Subject for Teacher Education 　 Special Subject 　

Class Status within
Liberal Arts Education As pre-specialized education, which is organically linked to specialized education, Foundation Courses are aimed at providing students with the basic knowledge necessary to understand specialized studies in their chosen areas, and thereby providing them w
Expected Outcome To understand, acquire, and be able to explain the logical structure and system of the basic disciplines in accordance with each subject and the knowledge and skills necessary for further academic development.

Class Objectives
/Class Outline This lecture provides not only complement to high school mathematics (Math III and Math C) but also fundamental mathematical knowledge useful in learning life sciences. You may become familiar with vectors and matrices, the calculus of exponential and logarithmic functions and 'probability and statistics' by learning in this class. Moreover, you will learn how mathematics is interestingly used in life sciences: e.g., differential equations for chemical reaction, demography and infectious disease models in public health and statistical inference and multivariate analysis, etc. Nowadays using computers has made calculation a very easy and laborless task and getting skilled at calculating software, Mathematica and R in addition to Excel, is another objective of this lecture.  (Both pieces of software are available to the students of Hiroshima University because Mathematica is campus licensed and R is a free software for statistical analysis.) This lecture is recommendable to those who do not like mathematics, in addition to students learning life science who love mathematics.

Class Schedule lesson1　Introduction - Mathematics used in life sciences
lesson2　Exponential and logarithmic functions and human sense
lesson3　Easy calculation by Mathematica, the excellent software
lesson4　Dynamical systems to understand life
lesson5　Demography and matrices - Life tables
lesson6　Vectors and matrices - What is an eigen value?
lesson7　Mathematical models of infectious disease spread
lesson8　Population genetics and 'evolution and the theory of games
lesson9 Exercises
lesson10　Black swan and statistical distribution
lesson11　Idea of statistical inference
lesson12　Quick introduction to multivariate analysis and the software of statistical analysis, R
lesson13　Applications: "The mathematics of love"
lesson14　Applications: Mathematical models of immune system, nerve cells and carcinogenesis
lesson15　A guide to further study

Text/Reference
Books,etc. Suggested in the class
(See the syllabus in Japanese)

PC or AV used in
Class,etc. 　

(More Details) PC etc

Learning techniques to be incorporated 　

Suggestions on
Preparation and
Review Any questions are most welcome.

Requirements

Grading Method Attitude toward the class (weighted ca 30%) and elaboration in the report (weighted ca 70%)

Practical Experience

Summary of Practical Experience and Class Contents based on it

Message

Other

Please fill in the class improvement questionnaire which is carried out on all classes.
Instructors will reflect on your feedback and utilize the information for improving their teaching.

Academic Year	2024Year	School/Graduate School	Liberal Arts Education Program
Lecture Code	63060101	Subject Classification	Foundation Courses
Subject Name	ヘルスサイエンスのための基盤数学[1医看,1医理,1医作,1歯工]
Subject Name （Katakana）	ヘルスサイエンスノタメノキバンスウガク
Subject Name in English	Foundation Mathematics for Health Science
Instructor	KAKEHASHI MASAYUKI
Instructor (Katakana)	カケハシ　マサユキ
Campus	Kasumi	Semester/Term	1st-Year, First Semester, 1Term
Days, Periods, and Classrooms	(1T) Tues9-10,Fri9-10：霞R204講義室
Lesson Style	Lecture	Lesson Style (More Details)
Lecture (partly, exercise). Please bring your PC to use Mathematics software and Web（Moodle). Opportunities for exercises will be provided if appropriate. When necessary, we may offer online lessons using MS Teams.
Credits	2.0	Class Hours/Week		Language of Instruction	J : Japanese
Course Level	1 : Undergraduate Introductory
Course Area（Area）	25 : Science and Technology
Course Area（Discipline）	01 : Mathematics/Statistics
Eligible Students
Keywords
Special Subject for Teacher Education		Special Subject
Class Status within Liberal Arts Education	As pre-specialized education, which is organically linked to specialized education, Foundation Courses are aimed at providing students with the basic knowledge necessary to understand specialized studies in their chosen areas, and thereby providing them w
Expected Outcome	To understand, acquire, and be able to explain the logical structure and system of the basic disciplines in accordance with each subject and the knowledge and skills necessary for further academic development.
Class Objectives /Class Outline	This lecture provides not only complement to high school mathematics (Math III and Math C) but also fundamental mathematical knowledge useful in learning life sciences. You may become familiar with vectors and matrices, the calculus of exponential and logarithmic functions and 'probability and statistics' by learning in this class. Moreover, you will learn how mathematics is interestingly used in life sciences: e.g., differential equations for chemical reaction, demography and infectious disease models in public health and statistical inference and multivariate analysis, etc. Nowadays using computers has made calculation a very easy and laborless task and getting skilled at calculating software, Mathematica and R in addition to Excel, is another objective of this lecture. (Both pieces of software are available to the students of Hiroshima University because Mathematica is campus licensed and R is a free software for statistical analysis.) This lecture is recommendable to those who do not like mathematics, in addition to students learning life science who love mathematics.
Class Schedule	lesson1　Introduction - Mathematics used in life sciences lesson2　Exponential and logarithmic functions and human sense lesson3　Easy calculation by Mathematica, the excellent software lesson4　Dynamical systems to understand life lesson5　Demography and matrices - Life tables lesson6　Vectors and matrices - What is an eigen value? lesson7　Mathematical models of infectious disease spread lesson8　Population genetics and 'evolution and the theory of games lesson9 Exercises lesson10　Black swan and statistical distribution lesson11　Idea of statistical inference lesson12　Quick introduction to multivariate analysis and the software of statistical analysis, R lesson13　Applications: "The mathematics of love" lesson14　Applications: Mathematical models of immune system, nerve cells and carcinogenesis lesson15　A guide to further study
Text/Reference Books,etc.	Suggested in the class (See the syllabus in Japanese)
PC or AV used in Class,etc.
(More Details)	PC etc
Learning techniques to be incorporated
Suggestions on Preparation and Review	Any questions are most welcome.
Requirements
Grading Method	Attitude toward the class (weighted ca 30%) and elaboration in the report (weighted ca 70%)
Practical Experience
Summary of Practical Experience and Class Contents based on it
Message
Other
Please fill in the class improvement questionnaire which is carried out on all classes. Instructors will reflect on your feedback and utilize the information for improving their teaching.

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