30106003 Starting Programming from Scratch

Hiroshima University Syllabus

Japanese

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

Lecture Code 30106003 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,1医,1歯,1薬]

Subject Name
（Katakana）

Subject Name in
English Starting Programming from Scratch

Instructor FUKUSHIMA MAKOTO

Instructor
(Katakana) フクシマ　マコト

Campus Kasumi Semester/Term 1st-Year, Second Semester, 3Term

Days, Periods, and Classrooms (3T) Tues9-10,Fri9-10：Online

Lesson Style Lecture Lesson Style
(More Details) 　

Online (on-demand style) lectures

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 Programing, Python

Special Subject for Teacher Education 　 Special Subject 　

Class Status within
Liberal Arts Education Participants will learn the basics of Python programming knowledge and skills.
Expected Outcome 1. To understand the basic concepts of programming.
2. To acquire the skills to perform simple programming using Python.

Class Objectives
/Class Outline The objectives of this course are to understand the basic concepts of programming and to acquire the skills to perform simple programming using Python.

Class Schedule Lesson1: Class Orientation/How to Use Google Colaboratory
Lesson2: Variables and Types (Lecture)
Lesson3: Variables and Types (Exercises)
Lesson4: Conditions (Lecture)
Lesson5: Conditions (Exercises)
Lesson6: Loops (Lecture)
Lesson7: Loops (Exercises)
Lesson8: Functions (Lecture)
Lesson9: Functions (Exercises)
Lesson10: Classes (Lecture)
Lesson11: Classes (Exercises)
Lesson12: An Introduction to Data Analysis (Lecture)
Lesson13: An Introduction to Data Analysis (Exercises)
Lesson14: An Introduction to Machine Learning (Lecture)
Lesson15: An Introduction to Machine Learning (Exercises)

Text/Reference
Books,etc. Lecture materials and videos will be provided.

PC or AV used in
Class,etc. 　

(More Details) Google Colaboratory is used for Python programming. Information on how to access lecture materials and videos will be posted on the class bulletin board.

Learning techniques to be incorporated 　

Suggestions on
Preparation and
Review Use lecture materials and videos for review.

Requirements Participants must have their own Google account to use Google Colaboratory.

Grading Method Evaluation is based on the grades for the assignments required to be submitted.

Practical Experience

Summary of Practical Experience and Class Contents based on it

Message This course is designed for students who are new to programming. A few data science topics are also covered at the end of the course. Students who want to learn data science from the basics are recommended to choose another Information and Data Science Course (e.g., Fundamental Data Science).

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	30106003	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,1医,1歯,1薬]
Subject Name （Katakana）
Subject Name in English	Starting Programming from Scratch
Instructor	FUKUSHIMA MAKOTO
Instructor (Katakana)	フクシマ　マコト
Campus	Kasumi	Semester/Term	1st-Year, Second Semester, 3Term
Days, Periods, and Classrooms	(3T) Tues9-10,Fri9-10：Online
Lesson Style	Lecture	Lesson Style (More Details)
Online (on-demand style) lectures
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	Programing, Python
Special Subject for Teacher Education		Special Subject
Class Status within Liberal Arts Education	Participants will learn the basics of Python programming knowledge and skills.
Expected Outcome	1. To understand the basic concepts of programming. 2. To acquire the skills to perform simple programming using Python.
Class Objectives /Class Outline	The objectives of this course are to understand the basic concepts of programming and to acquire the skills to perform simple programming using Python.
Class Schedule	Lesson1: Class Orientation/How to Use Google Colaboratory Lesson2: Variables and Types (Lecture) Lesson3: Variables and Types (Exercises) Lesson4: Conditions (Lecture) Lesson5: Conditions (Exercises) Lesson6: Loops (Lecture) Lesson7: Loops (Exercises) Lesson8: Functions (Lecture) Lesson9: Functions (Exercises) Lesson10: Classes (Lecture) Lesson11: Classes (Exercises) Lesson12: An Introduction to Data Analysis (Lecture) Lesson13: An Introduction to Data Analysis (Exercises) Lesson14: An Introduction to Machine Learning (Lecture) Lesson15: An Introduction to Machine Learning (Exercises)
Text/Reference Books,etc.	Lecture materials and videos will be provided.
PC or AV used in Class,etc.
(More Details)	Google Colaboratory is used for Python programming. Information on how to access lecture materials and videos will be posted on the class bulletin board.
Learning techniques to be incorporated
Suggestions on Preparation and Review	Use lecture materials and videos for review.
Requirements	Participants must have their own Google account to use Google Colaboratory.
Grading Method	Evaluation is based on the grades for the assignments required to be submitted.
Practical Experience
Summary of Practical Experience and Class Contents based on it
Message	This course is designed for students who are new to programming. A few data science topics are also covered at the end of the course. Students who want to learn data science from the basics are recommended to choose another Information and Data Science Course (e.g., Fundamental Data Science).
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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