Hiroshima University Syllabus

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Japanese
Academic Year 2024Year School/Graduate School School of Informatics and Data Science
Lecture Code KA237004 Subject Classification Specialized Education
Subject Name 情報科学演習III(R3以前入学生)
Subject Name
(Katakana)
ジョウホウカガクエンシュウ3(R3ニュウガクセイ)
Subject Name in
English
Informatics and Data Science Exercise III(Before R3)
Instructor ITOU YASUAKI,TAKAFUJI DAISUKE
Instructor
(Katakana)
イトウ ヤスアキ,タカフジ ダイスケ
Campus Higashi-Hiroshima Semester/Term 3rd-Year,  Second Semester,  3Term
Days, Periods, and Classrooms (3T) Mon5-7:ENG 116
Lesson Style Seminar Lesson Style
(More Details)
 
Seminar 
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
Keywords  
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.
(Comprehensive Abilities)
・D3. Ability to grasp complexly intertwined social needs and issues from a bird's-eye view and solve issues with a multifaceted perspective and analytical ability based on a wide range of knowledge in intelligent science. 
Class Objectives
/Class Outline
Japanese Language reference 
Class Schedule lesson1
lesson2
lesson3
lesson4
lesson5
lesson6
lesson7
lesson8
lesson9
lesson10
lesson11
lesson12
lesson13
lesson14
lesson15 
Text/Reference
Books,etc.
Japanese Language reference 
PC or AV used in
Class,etc.
 
(More Details)  
Learning techniques to be incorporated  
Suggestions on
Preparation and
Review
Japanese Language reference 
Requirements  
Grading Method Japanese Language reference 
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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