H0005000 Introduction to Information Mathematics

Hiroshima University Syllabus

Japanese

Academic Year 2024Year School/Graduate School School of Science

Lecture Code H0005000 Subject Classification Specialized Education

Subject Name 情報数理概説

Subject Name
（Katakana）ジョウホウスウリガイセツ

Subject Name in
English Introduction to Information Mathematics

Instructor SAITO NEN

Instructor
(Katakana) サイトウ　ネン

Campus Higashi-Hiroshima Semester/Term 1st-Year,  Second Semester,  3Term

Days, Periods, and Classrooms (3T) Weds9-10,Fri9-10：IMC-Main 2F PC Rm

Lesson Style Lecture Lesson Style
(More Details) 　

Lecture and practical training on computer programming

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） 02 : Information Science

Eligible Students

Keywords Algorithm, Data structure, Programming, Python

Special Subject for Teacher Education 　 Special Subject 　

Class Status
within Educational
Program
(Applicable only to targeted subjects for undergraduate students)
Criterion referenced
Evaluation
(Applicable only to targeted subjects for undergraduate students)

Class Objectives
/Class Outline Computer is now an indispensable tool for scientific studies. In order to solve problems using computers, we need not only the method of solving but also the understanding the algorithm, data structure and programming method. The goal of this class is to master the most basic part of these issues.  In the lecture part, algorithm and data structure for solving the example are given. After that, students learn how to make programs in the practical training.

Class Schedule lesson1
Fundamental structure of computers, File system
lesson2
Data type, Variable type, Substitution
lesson3
Input and output, Format
lesson4
Operators
lesson5
Basic patterns of algorithm
lesson6
If sentence and condition expression
lesson7
Repeat by for sentence, multiple loop
lesson8
Repeat by while sentense
lesson9
Euclidean algorithm
lesson10
Functions
lesson11
Computation by numpy
lesson12
Graphics by matplotlib
lesson13
Basic Simulations
lesson14
Basic Simulations
lesson15
Basic Simulations

Text/Reference
Books,etc. Not especially specified

PC or AV used in
Class,etc. 　

(More Details) Presentation soft, PC monitor

Learning techniques to be incorporated 　

Suggestions on
Preparation and
Review Please understand the issues within the day of the class. Although it is recommended to teach each other with your friend, you have to understand the issues and complete your programs by yourself.

Requirements

Grading Method Evaluation of reports

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	School of Science
Lecture Code	H0005000	Subject Classification	Specialized Education
Subject Name	情報数理概説
Subject Name （Katakana）	ジョウホウスウリガイセツ
Subject Name in English	Introduction to Information Mathematics
Instructor	SAITO NEN
Instructor (Katakana)	サイトウ　ネン
Campus	Higashi-Hiroshima	Semester/Term	1st-Year, Second Semester, 3Term
Days, Periods, and Classrooms	(3T) Weds9-10,Fri9-10：IMC-Main 2F PC Rm
Lesson Style	Lecture	Lesson Style (More Details)
Lecture and practical training on computer programming
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）	02 : Information Science
Eligible Students
Keywords	Algorithm, Data structure, Programming, Python
Special Subject for Teacher Education		Special Subject
Class Status within Educational Program (Applicable only to targeted subjects for undergraduate students)
Criterion referenced Evaluation (Applicable only to targeted subjects for undergraduate students)
Class Objectives /Class Outline	Computer is now an indispensable tool for scientific studies. In order to solve problems using computers, we need not only the method of solving but also the understanding the algorithm, data structure and programming method. The goal of this class is to master the most basic part of these issues. In the lecture part, algorithm and data structure for solving the example are given. After that, students learn how to make programs in the practical training.
Class Schedule	lesson1 Fundamental structure of computers, File system lesson2 Data type, Variable type, Substitution lesson3 Input and output, Format lesson4 Operators lesson5 Basic patterns of algorithm lesson6 If sentence and condition expression lesson7 Repeat by for sentence, multiple loop lesson8 Repeat by while sentense lesson9 Euclidean algorithm lesson10 Functions lesson11 Computation by numpy lesson12 Graphics by matplotlib lesson13 Basic Simulations lesson14 Basic Simulations lesson15 Basic Simulations
Text/Reference Books,etc.	Not especially specified
PC or AV used in Class,etc.
(More Details)	Presentation soft, PC monitor
Learning techniques to be incorporated
Suggestions on Preparation and Review	Please understand the issues within the day of the class. Although it is recommended to teach each other with your friend, you have to understand the issues and complete your programs by yourself.
Requirements
Grading Method	Evaluation of reports
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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