30840001 Starting Programming from Scratch

Hiroshima University Syllabus

Japanese

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

Lecture Code 30840001 Subject Classification Information and Data Science Courses

Subject Name ゼロからはじめるプログラミング[1法夜,1経夜]

Subject Name
（Katakana）

Subject Name in
English Starting Programming from Scratch

Instructor ITOU YASUAKI

Instructor
(Katakana) イトウ　ヤスアキ

Campus Higashi-Senda Semester/Term 1st-Year, Second Semester, Second Semester

Days, Periods, and Classrooms (2nd) Mon13-14：Online

Lesson Style Lecture Lesson Style
(More Details) 　

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

Special Subject for Teacher Education 　 Special Subject 　

Class Status within
Liberal Arts Education To equip students with the basic knowledge and skills necessary to use data in today’s advanced information society, develop their understanding of the usefulness and problems of computers and information-related ethical issues, so as to ensure the proper
Expected Outcome 1. To acquire basic knowledge, skills, and attitudes regarding information science and data science, and thereby to be able to process data and receive and send information appropriately.
2. To understand and be able to explain information ethics necessar

Class Objectives
/Class Outline The objective of this course is to learn the art of Python programming and knowledge and skills for using computers. At the same time, students are expected to improve their logical thinking and mathematical sense. We use Python programming language because it is easy to understand and recently used for AI and data science.

Class Schedule Lesson1: Introduction
Lesson2: Variables and data types (lecture)
Lesson3: Variables and data types (exercise)
Lesson4: Conditional statements (lecture)
Lesson5: Conditional statements (exercise)
Lesson6: Loops (lecture)
Lesson7: Loops (exercise)
Lesson8: Functions (lecture)
Lesson9: Functions (exercise)
Lesson10: Application (lecture)
Lesson11: Application (exercise)
Lesson12: Introduction to Data analysis (lecture)
Lesson13: Introduction to Data analysis (exercise)
Lesson14: Introduction to Machine learning (lecture)
Lesson15: Introduction to Machine learning (exercise)

Report

Text/Reference
Books,etc. None.

PC or AV used in
Class,etc. 　

(More Details)

Learning techniques to be incorporated 　

Suggestions on
Preparation and
Review Reading and understanding many good programs would be a best way of mastering programming skills. Do not hesitate to ask instructor or TA a question during exercises.

Requirements

Grading Method Report

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	30840001	Subject Classification	Information and Data Science Courses
Subject Name	ゼロからはじめるプログラミング[1法夜,1経夜]
Subject Name （Katakana）
Subject Name in English	Starting Programming from Scratch
Instructor	ITOU YASUAKI
Instructor (Katakana)	イトウ　ヤスアキ
Campus	Higashi-Senda	Semester/Term	1st-Year, Second Semester, Second Semester
Days, Periods, and Classrooms	(2nd) Mon13-14：Online
Lesson Style	Lecture	Lesson Style (More Details)

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
Special Subject for Teacher Education		Special Subject
Class Status within Liberal Arts Education	To equip students with the basic knowledge and skills necessary to use data in today’s advanced information society, develop their understanding of the usefulness and problems of computers and information-related ethical issues, so as to ensure the proper
Expected Outcome	1. To acquire basic knowledge, skills, and attitudes regarding information science and data science, and thereby to be able to process data and receive and send information appropriately. 2. To understand and be able to explain information ethics necessar
Class Objectives /Class Outline	The objective of this course is to learn the art of Python programming and knowledge and skills for using computers. At the same time, students are expected to improve their logical thinking and mathematical sense. We use Python programming language because it is easy to understand and recently used for AI and data science.
Class Schedule	Lesson1: Introduction Lesson2: Variables and data types (lecture) Lesson3: Variables and data types (exercise) Lesson4: Conditional statements (lecture) Lesson5: Conditional statements (exercise) Lesson6: Loops (lecture) Lesson7: Loops (exercise) Lesson8: Functions (lecture) Lesson9: Functions (exercise) Lesson10: Application (lecture) Lesson11: Application (exercise) Lesson12: Introduction to Data analysis (lecture) Lesson13: Introduction to Data analysis (exercise) Lesson14: Introduction to Machine learning (lecture) Lesson15: Introduction to Machine learning (exercise) Report
Text/Reference Books,etc.	None.
PC or AV used in Class,etc.
(More Details)
Learning techniques to be incorporated
Suggestions on Preparation and Review	Reading and understanding many good programs would be a best way of mastering programming skills. Do not hesitate to ask instructor or TA a question during exercises.
Requirements
Grading Method	Report
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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