Introduction to Programming

Course Information

College	Toyama College	Year	2023
Course Title	Introduction to Programming
Course Code	0117	Course Category	Specialized / Elective
Class Format	Lecture	Credits	Academic Credit: 1
Department	Department of Mechanical Engineering	Student Grade	4th
Term	Second Semester	Classes per Week	後期:2
Textbook and/or Teaching Materials	詳細Python３入門ノート、大重美幸、ソーテック社(2020)．ISBN-13：978-4800711670．
Instructor	Ishiguro Minoru

Course Objectives

You will acquire basic knowledge about programs and learn the basic elements necessary for creating programs for variables / sequential processing / conditional branch processing / iterative processing. And you will learn exception handling as an application. Next, learn lists and slices, and learn general array structure. Next, learn about user-defined functions and classes, and aim to be able to create your own simple programs.

Rubric

	Ideal Level of Achievement (Very Good)	Standard Level of Achievement (Good)	Unacceptable Level of Achievement (Fail)
Evaluation 1 Can you explain the programmatically available, variables and types ?	Yes, I can explain that. And I can use that.	Half yes, but I can not usefully use it .	No, I can not do it at all.
Evaluation 2 Can you explain the standard library and use that?	Yes, I can explain that. And I can use that.	Half yes, but I can not usefully use it .	No, I can not do it at all.
Evaluation 3 Can you explain the sequential processing of flowchart ?	Yes, I can explain that. And I can use that.	Half yes, but I can not usefully use it .	No, I can not do it at all.
Evaluation 4 Can you explain conditional branching process of the flowchart ?	Yes, I can explain that. And I can use that.	Half yes, but I can not usefully use it .	No, I can not do it at all.
Evaluation 5 Can you explain the iterative process of the flowchart ?	Yes, I can explain that. And I can use that.	Half yes, but I can not usefully use it .	No, I can not do it at all.
Evaluation 6 Can you explain the exception handling ?	Yes, I can explain that. And I can use that.	Half yes, but I can not usefully use it .	No, I can not do it at all.
Evaluation 7 Can you explain the list in Python ?	Yes, I can explain that. And I can use that.	Half yes, but I can not usefully use it .	No, I can not do it at all.
Evaluation 8 Can you explain slices in Python ?	Yes, I can explain that. And I can use that.	Half yes, but I can not usefully use it .	No, I can not do it at all.
Evaluation 9 Can you explain user-defined functions ?	Yes, I can explain that. And I can use that.	Half yes, but I can not usefully use it .	No, I can not do it at all.
Evaluation 10 Can you explain function, objects and closures in Python ?	Yes, I can explain that. And I can use that.	Half yes, but I can not usefully use it .	No, I can not do it at all.
Evaluation 11 Can you explain class definitions ?	Yes, I can explain that. And I can use that.	Half yes, but I can not usefully use it .	No, I can not do it at all.

Assigned Department Objectives

Learning and Educational Objectives of the “General Engineering” A-2 （設計・システム，情報・論理，材料・バイオ，力学，社会技術に関する基礎知識を理解し，簡単に説明することができる。）

Learning and Educational Objectives of the “General Engineering” A-5 （工学的な諸問題に対処する際に必要な数学，自然科学及び情報の基礎的知識を理解し，それらを適切に活用することができる。）

JABEE 1(2)(c) （数学及び自然科学に関する知識とそれらを応用する能力）

JABEE 1(2)(d)(1) （専門工学（工学（融合複合・新領域）における専門工学の内容は申請高等教育機関が規定するものとする）の知識と能力）

JABEE 1(2)(d)(2) （いくつかの工学の基礎的な知識・技術を駆使して実験を計画・遂行し、データを正確に解析し、工学的に考察し、かつ説明・説得する能力）

JABEE 2.1(1) （基礎工学として、①設計・システム系科目群、②情報・論理系科目群、③材料・バイオ系科目群、④力学系科目群、⑤社会技術系科目群の５群からなり、各群から少なくとも１科目、合計最低６科目を含むこと。）

Diploma policy 1 （To develop engineers who comprehensively acquire knowledge, focusing on mechanical engineering as the basis of manufacturing and production technology, and play a role in equipment design, technology development and other engineering-related fields.）

Teaching Method

Outline:

Through simple software development using a programming language, you can experience programming methods and acquire basic knowledge about programs to create programs. As a language platform, Anaconda-Python IDE is used, and program learning is performed using Jupyter Notebook and Spyder. Learn how to use Google Colaboratory and Amazon Web Services remotely to aid in efficient self-study at home and future GPU-based analysis.

Style:

We will develop lessons that alternate between lectures and practical training, explain the operating principles, etc. in the lectures, and deepen understanding according to the chapters in the textbook. Achievement is evaluated by submitting a self-made program.
The evaluation is 40% for exams and 60% for assignment reports and portfolios.

Notice:

Perform your own exercises in the exercise room or BYOD. If you do not understand the details, use ICT to investigate, and submit and return the report using the common platform MS-Teams. If you need to study at home and have questions about something you don't understand, you will be able to take distance lessons. If you forget the textbook, it will not be a class at all, so be sure to bring it. Also, write down your name.

Characteristics of Class / Division in Learning

Active Learning

Aided by ICT

Applicable to Remote Class

Course Plan

			Theme	Goals
2nd Semester
	3rd Quarter
		1st	Guidance of Programming basics.	Precautions for Courses. Explanation of basic programming procedures with Anaconda-Python IDE. Instructions on how to use JupyterNotebook, Spyder, and Google Colaboratory.
		2nd	Variable and type description.	Programming practice. Variable and type exercises. Instructions on how to use JupyterNotebook, Spyder, and Google Colaboratory.
		3rd	Description of the standard library.	Standard library exercises. Instructions on how to use JupyterNotebook, Spyder, and Google Colaboratory.
		4th	Explanation of program processing flow. Explanation of flowchart sequential processing.	Learning the flow of program processing. Flowchart sequential processing exercise.
		5th	Explanation of conditional branch processing in the flowchart. Explanation of flowchart iteration process.	Flowchart conditional branching exercises. Flowchart iteration practice.
		6th	Explanation of conditional branch processing in the flowchart. Explanation of flowchart iteration process.	Flowchart conditional branching exercises. Flowchart iteration practice.
		7th	Explanation of conditional branch processing in the flowchart. Explanation of flowchart iteration process.	Flowchart conditional branching exercises. Flowchart iteration practice .
		8th	Exception handling description.	Exception handling exercises.
	4th Quarter
		9th	Description of general array processing with lists and slices.	General array processing exercises with lists and slices.
		10th	Description of general array processing with lists and slices.	General array processing exercises with lists and slices.
		11th	Description of user defined function.	User-defined function exercises.
		12th	Description of function objects and closures.	User defined function exercises. Learning function objects and closures.
		13th	Description of class definition.	Class definition exercises.
		14th	Description of class definition. Description of OpenCV and AI image processing programs.	Class definition exercises.
		15th	Final exam.	Final exam.
		16th	Return of the final exam and the report.	Return of the final exam and the report.

Evaluation Method and Weight (%)

	Examination	Portfolio	Total
Subtotal	40	60	100
Basic Ability	20	20	40
Technical Ability	20	20	40
Interdisciplinary Ability	0	20	20