Hiroshima University Syllabus

Back to syllabus main page
Japanese
Academic Year 2024Year School/Graduate School School of Informatics and Data Science
Lecture Code KA238003 Subject Classification Specialized Education
Subject Name 情報科学演習IV(知能科学プログラム)
Subject Name
(Katakana)
ジョウホウカガクエンシュウ4(チノウカガクプログラム)
Subject Name in
English
Informatics and Data Science Exercise IV
Instructor ANDRADE SILVA DANIEL GEORG,AIZAWA HIROAKI
Instructor
(Katakana)
アンドラーデ シルバ ダニエル ゲオルグ,アイザワ ヒロアキ
Campus   Semester/Term 3rd-Year,  Second Semester,  4Term
Days, Periods, and Classrooms (4T) Fri5-7:East Library 3F Seminar Rm D
Lesson Style Seminar Lesson Style
(More Details)
 
 
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
see Japanese page 
Class Schedule lesson1: see Japanese page
lesson2
lesson3
lesson4
lesson5
lesson6
lesson7
lesson8
lesson9
lesson10
lesson11
lesson12
lesson13
lesson14
lesson15 
Text/Reference
Books,etc.
see Japanese page 
PC or AV used in
Class,etc.
 
(More Details)  
Learning techniques to be incorporated  
Suggestions on
Preparation and
Review
see Japanese page 
Requirements  
Grading Method see Japanese page 
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. 
Back to syllabus main page