KA235001 Informatics and Data Science Exercise I

Hiroshima University Syllabus

Japanese

Academic Year 2024Year School/Graduate School School of Informatics and Data Science

Lecture Code KA235001 Subject Classification Specialized Education

Subject Name 情報科学演習I

Subject Name
（Katakana）ジョウホウカガクエンシュウ１

Subject Name in
English Informatics and Data Science Exercise I

Instructor KAMEI SAYAKA,HIGAKI TORU

Instructor
(Katakana) カメイ　サヤカ,ヒガキ　トオル

Campus Higashi-Hiroshima Semester/Term 3rd-Year, First Semester, 1Term

Days, Periods, and Classrooms (1T) Mon5-7：East Library 3F Seminar Rm A,East Library 3F Seminar Rm B,East Library 3F Seminar Rm C,East Library 3F Seminar Rm D,ENG 102

Lesson Style Seminar Lesson Style
(More Details) 　

Mainly exercise

Credits 1.0 Class Hours/Week 　 Language of Instruction B : Japanese／English

Course Level 3 : Undergraduate High-Intermediate

Course Area（Area） 25 : Science and Technology

Course Area（Discipline） 02 : Information Science

Eligible Students Dept. Info.

Keywords programing, data structure, image processing

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) Computer Science Program
（Abilities and Skills）
・A. Information infrastructure development technology, information processing technology, technology that analyzes data and creates new added value.
・B. Ability to identify new problems independently and solve them through quantitative and logical thinking based on data, multifaceted perspectives, and advanced information processing and analysis.
・D3. Knowledge of hardware and software and programming ability to process data efficiently.

Data Science Program
（Knowledge and Understanding）
・D1. Knowledge and ability to understand the theoretical framework of statistics and data analysis and to analyze qualitative/quantitative information of big data accurately and efficiently.
（Abilities and Skills）
・A. Information infrastructure development technology, information processing technology, technology that analyzes data and creates new added value.
・B. Ability to identify new problems independently and solve them through quantitative and logical thinking based on data, multifaceted perspectives, and advanced information processing and analysis.

Intelligence Science Program
（Abilities and Skills）
・A. Information infrastructure development technology, information processing technology, technology that analyzes data and creates new added value.
・B. Ability to identify new problems independently and solve them through quantitative and logical thinking based on data, multifaceted perspectives, and advanced information processing and analysis.
・D2. Information processing ability and data analysis ability to contribute to the application and development of artificial intelligence and IoT.

Class Objectives
/Class Outline The goal is to learn skills on algorithm, data structure and image processing.

Class Schedule 1. Guidance
2. to 4.
Hands on exercises on the first topic, three weeks.
5. exam

6. to 8.
Hands on exercises on the second topic, three weeks.

Each topic assigns reports and exam

two topics:
algorithm and data structure
1. stack and queue by array
2. stack and queue by list
3. heap

Text/Reference
Books,etc. handouts

PC or AV used in
Class,etc. 　

(More Details) handouts, PC

Learning techniques to be incorporated 　

Suggestions on
Preparation and
Review Students have to submit a report within a week after the end of each topic.

Requirements

Grading Method Evaluated by reports and examinations.

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 Informatics and Data Science
Lecture Code	KA235001	Subject Classification	Specialized Education
Subject Name	情報科学演習I
Subject Name （Katakana）	ジョウホウカガクエンシュウ１
Subject Name in English	Informatics and Data Science Exercise I
Instructor	KAMEI SAYAKA,HIGAKI TORU
Instructor (Katakana)	カメイ　サヤカ,ヒガキ　トオル
Campus	Higashi-Hiroshima	Semester/Term	3rd-Year, First Semester, 1Term
Days, Periods, and Classrooms	(1T) Mon5-7：East Library 3F Seminar Rm A,East Library 3F Seminar Rm B,East Library 3F Seminar Rm C,East Library 3F Seminar Rm D,ENG 102
Lesson Style	Seminar	Lesson Style (More Details)
Mainly exercise
Credits	1.0	Class Hours/Week		Language of Instruction	B : Japanese／English
Course Level	3 : Undergraduate High-Intermediate
Course Area（Area）	25 : Science and Technology
Course Area（Discipline）	02 : Information Science
Eligible Students	Dept. Info.
Keywords	programing, data structure, image processing
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)	Computer Science Program （Abilities and Skills）・A. Information infrastructure development technology, information processing technology, technology that analyzes data and creates new added value. ・B. Ability to identify new problems independently and solve them through quantitative and logical thinking based on data, multifaceted perspectives, and advanced information processing and analysis. ・D3. Knowledge of hardware and software and programming ability to process data efficiently. Data Science Program （Knowledge and Understanding）・D1. Knowledge and ability to understand the theoretical framework of statistics and data analysis and to analyze qualitative/quantitative information of big data accurately and efficiently. （Abilities and Skills）・A. Information infrastructure development technology, information processing technology, technology that analyzes data and creates new added value. ・B. Ability to identify new problems independently and solve them through quantitative and logical thinking based on data, multifaceted perspectives, and advanced information processing and analysis. Intelligence Science Program （Abilities and Skills）・A. Information infrastructure development technology, information processing technology, technology that analyzes data and creates new added value. ・B. Ability to identify new problems independently and solve them through quantitative and logical thinking based on data, multifaceted perspectives, and advanced information processing and analysis. ・D2. Information processing ability and data analysis ability to contribute to the application and development of artificial intelligence and IoT.
Class Objectives /Class Outline	The goal is to learn skills on algorithm, data structure and image processing.
Class Schedule	1. Guidance 2. to 4. Hands on exercises on the first topic, three weeks. 5. exam 6. to 8. Hands on exercises on the second topic, three weeks. Each topic assigns reports and exam two topics: algorithm and data structure 1. stack and queue by array 2. stack and queue by list 3. heap
Text/Reference Books,etc.	handouts
PC or AV used in Class,etc.
(More Details)	handouts, PC
Learning techniques to be incorporated
Suggestions on Preparation and Review	Students have to submit a report within a week after the end of each topic.
Requirements
Grading Method	Evaluated by reports and examinations.
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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