30105001 Starting Programming from Scratch

Hiroshima University Syllabus

Japanese

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

Lecture Code 30105001 Subject Classification Information and Data Science Courses

Subject Name Starting Programming from Scratch[1総国]

Subject Name
（Katakana）

Subject Name in
English Starting Programming from Scratch

Instructor LIU SHAOYING

Instructor
(Katakana) リュウ　ショウエイ

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

Days, Periods, and Classrooms (3T) Weds1-4：Online

Lesson Style Lecture Lesson Style
(More Details) 　

The teaching slides with the recorded voice explanation will be made available online. Students can access to the teaching slides during the class time and any other time.

Credits 2.0 Class Hours/Week 　 Language of Instruction E : English

Course Level 1 : Undergraduate Introductory

Course Area（Area） 25 : Science and Technology

Course Area（Discipline） 02 : Information Science

Eligible Students undergraduate students who have not learned the Python programming

Keywords Programming, Programming language, Python, Computer software

Special Subject for Teacher Education 　 Special Subject 　

Class Status within
Liberal Arts Education This course is aimed at teaching the basic knowledge of programming in the Python programming language.
Expected Outcome Students are expected to master the basic concepts and skills in constructing programs using Python. They are also expected to learn the tool that can facilitate the programming activities.

Class Objectives
/Class Outline This course is expected to teach students the basic concepts and techniques for programming in Python. After a brief history of computing is explained, the basic concepts and components of a program in Python will be introduced. These include variables, types, various kinds of command statements, such as assignment, selection, and iteration statements. On the top of these basic concepts, the high level components, such as methods and classes, will also be introduced. To help students master both the Python language and the skills used for programming in Python, many examples will be explained and opportunities for students to apply the basic concepts and skills learned to the construction of interesting programs, such as small games, will be provided.

Class Schedule lesson1: Introduction. This part describes and explains the history of computers, the concept of programming, the programming language Python, and the benefits of learning programming.

lesson2: Introducing Google Colaboratory. This part discusses the development environment and editor for Python and explains the tool for writing Python programs called Google Colaboratory. Some basic things for using the Google Colaboratory, such as Login, Creating a notebook, and the first step to programming, will be explained.

lesson3: Variables and data types. This part explains how data are represented by typed variables in a program. It includes discussions of the variable names, the data types used to declare variables, and the rules of using variables.
lesson4: Exercise on variables and data types. This part includes several problems for students to solve by applying the knowledge of programming learned from previous lectures.
lesson5: Conditional branching. This part first explains what a conditional branching is, and then introduce the if statement and if-else statement as well as their combinations.
lesson6: Exercise on conditional branching. This part includes several problems for students to practice the use of conditional branching by using if statement and if-else statement in programming.
lesson7: Iterative process. This part explains what an iterative process is and why it is necessary through the example of processing a list. It will then introduce two iterative statements, for statement and while statement, for representing an iterative process.
lesson8: Exercise on iterative process. Several problems will be provided for students to practice the for and while statements in programming.
lesson9: Functions and scopes. This part introduces functions by describing what a function is and how a function is defined and called in a program. Recursive function for carrying out an iterative process is also discussed.
lesson10: Exercise on functions and scopes. Several problems are provided for students to practice the use of functions and scopes, including the definition of a function, call a function, and recursive functions.
lesson11: Creating a game. This part uses a "Hit and Blow" game program to explain how Python can be applied to write a relatively complex program. The steps of creating a game program are discussed.
lesson12: Exercise on creating a game program. Students will be required to make a little more complex "Hit and Blow" game program in which the game program created in the previous lecture can be used.
lesson13: Introduction to data analysis. This part introduces the basic concept of data analysis and the packages that can be used to construct programs for data analysis. Specifically, it includes the contents of modules and packages, numerical calculations with NumPy, and data analysis with Pandas.

lesson14: Exercise on data analysis. Several problems are provided for students to practice the basic techniques for writing programs for data analysis. The basic concepts and techniques discussed in the previous lecture will be used.
lesson15: Machine learning experience. This part explains what artificial intelligence (AI) is and introduces briefly how AI has been developed so far. The focus of the present AI technology, machine learning (ML), and the technique for realizing it, called neural network (NW), are discussed. A simple example will be given to show how a ML program works.

Report

Understanding the basic concepts and keeping practice are the effective way to learn programming.

Text/Reference
Books,etc. None

PC or AV used in
Class,etc. 　

(More Details) The Microsoft teams, named "CS: Course on Starting Programming from Scratch", will be used to deliver the teaching slides and the related materials.

Learning techniques to be incorporated 　

Suggestions on
Preparation and
Review Always try to take time to review the most important content of each lesson.

Requirements None

Grading Method Grading and evaluation will be done based on the final test.

Practical Experience Experienced

Summary of Practical Experience and Class Contents based on it I have experienced teaching and research on several subjects, such as the Principle of Compiler, Programming languages Java and C++, Program Design, Formal Engineering Methods, Software Verification, and Software Engineering at 9 universities in China, UK, and Japan.

Message Seven-hour study and one-hour physical exercise a day will be more effective than only eight-hour study without exercise.

Other None

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	30105001	Subject Classification	Information and Data Science Courses
Subject Name	Starting Programming from Scratch[1総国]
Subject Name （Katakana）
Subject Name in English	Starting Programming from Scratch
Instructor	LIU SHAOYING
Instructor (Katakana)	リュウ　ショウエイ
Campus	Higashi-Hiroshima	Semester/Term	1st-Year, Second Semester, 3Term
Days, Periods, and Classrooms	(3T) Weds1-4：Online
Lesson Style	Lecture	Lesson Style (More Details)
The teaching slides with the recorded voice explanation will be made available online. Students can access to the teaching slides during the class time and any other time.
Credits	2.0	Class Hours/Week		Language of Instruction	E : English
Course Level	1 : Undergraduate Introductory
Course Area（Area）	25 : Science and Technology
Course Area（Discipline）	02 : Information Science
Eligible Students	undergraduate students who have not learned the Python programming
Keywords	Programming, Programming language, Python, Computer software
Special Subject for Teacher Education		Special Subject
Class Status within Liberal Arts Education	This course is aimed at teaching the basic knowledge of programming in the Python programming language.
Expected Outcome	Students are expected to master the basic concepts and skills in constructing programs using Python. They are also expected to learn the tool that can facilitate the programming activities.
Class Objectives /Class Outline	This course is expected to teach students the basic concepts and techniques for programming in Python. After a brief history of computing is explained, the basic concepts and components of a program in Python will be introduced. These include variables, types, various kinds of command statements, such as assignment, selection, and iteration statements. On the top of these basic concepts, the high level components, such as methods and classes, will also be introduced. To help students master both the Python language and the skills used for programming in Python, many examples will be explained and opportunities for students to apply the basic concepts and skills learned to the construction of interesting programs, such as small games, will be provided.
Class Schedule	lesson1: Introduction. This part describes and explains the history of computers, the concept of programming, the programming language Python, and the benefits of learning programming. lesson2: Introducing Google Colaboratory. This part discusses the development environment and editor for Python and explains the tool for writing Python programs called Google Colaboratory. Some basic things for using the Google Colaboratory, such as Login, Creating a notebook, and the first step to programming, will be explained. lesson3: Variables and data types. This part explains how data are represented by typed variables in a program. It includes discussions of the variable names, the data types used to declare variables, and the rules of using variables. lesson4: Exercise on variables and data types. This part includes several problems for students to solve by applying the knowledge of programming learned from previous lectures. lesson5: Conditional branching. This part first explains what a conditional branching is, and then introduce the if statement and if-else statement as well as their combinations. lesson6: Exercise on conditional branching. This part includes several problems for students to practice the use of conditional branching by using if statement and if-else statement in programming. lesson7: Iterative process. This part explains what an iterative process is and why it is necessary through the example of processing a list. It will then introduce two iterative statements, for statement and while statement, for representing an iterative process. lesson8: Exercise on iterative process. Several problems will be provided for students to practice the for and while statements in programming. lesson9: Functions and scopes. This part introduces functions by describing what a function is and how a function is defined and called in a program. Recursive function for carrying out an iterative process is also discussed. lesson10: Exercise on functions and scopes. Several problems are provided for students to practice the use of functions and scopes, including the definition of a function, call a function, and recursive functions. lesson11: Creating a game. This part uses a "Hit and Blow" game program to explain how Python can be applied to write a relatively complex program. The steps of creating a game program are discussed. lesson12: Exercise on creating a game program. Students will be required to make a little more complex "Hit and Blow" game program in which the game program created in the previous lecture can be used. lesson13: Introduction to data analysis. This part introduces the basic concept of data analysis and the packages that can be used to construct programs for data analysis. Specifically, it includes the contents of modules and packages, numerical calculations with NumPy, and data analysis with Pandas. lesson14: Exercise on data analysis. Several problems are provided for students to practice the basic techniques for writing programs for data analysis. The basic concepts and techniques discussed in the previous lecture will be used. lesson15: Machine learning experience. This part explains what artificial intelligence (AI) is and introduces briefly how AI has been developed so far. The focus of the present AI technology, machine learning (ML), and the technique for realizing it, called neural network (NW), are discussed. A simple example will be given to show how a ML program works. Report Understanding the basic concepts and keeping practice are the effective way to learn programming.
Text/Reference Books,etc.	None
PC or AV used in Class,etc.
(More Details)	The Microsoft teams, named "CS: Course on Starting Programming from Scratch", will be used to deliver the teaching slides and the related materials.
Learning techniques to be incorporated
Suggestions on Preparation and Review	Always try to take time to review the most important content of each lesson.
Requirements	None
Grading Method	Grading and evaluation will be done based on the final test.
Practical Experience	Experienced
Summary of Practical Experience and Class Contents based on it	I have experienced teaching and research on several subjects, such as the Principle of Compiler, Programming languages Java and C++, Program Design, Formal Engineering Methods, Software Verification, and Software Engineering at 9 universities in China, UK, and Japan.
Message	Seven-hour study and one-hour physical exercise a day will be more effective than only eight-hour study without exercise.
Other	None
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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