Hiroshima University Syllabus

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Japanese
Academic Year 2024Year School/Graduate School Liberal Arts Education Program
Lecture Code 30050001 Subject Classification Information and Data Science Courses
Subject Name Introduction to Information and Data Sciences[1総国]
Subject Name
(Katakana)
Subject Name in
English
Introduction to Information and Data Sciences
Instructor ADILIN ANUARDI
Instructor
(Katakana)
アディリン アヌアルディ
Campus Higashi-Hiroshima Semester/Term 1st-Year,  First Semester,  2Term
Days, Periods, and Classrooms (2T) Weds1-4:Online,IAS K109
Lesson Style Seminar Lesson Style
(More Details)
 
The lessons will be conducted mainly face-to-face. However, if you need to take it online, some lessons require discussions where it involves speaking, please consider a proper location.  
Credits 2.0 Class Hours/Week   Language of Instruction E : English
Course Level 1 : Undergraduate Introductory
Course Area(Area) 21 : Fundamental Competencies for Working Persons
Course Area(Discipline) 08 : Information Education
Eligible Students
Keywords Information science, data science, information ethics, survey, programming, AI 
Special Subject for Teacher Education   Special Subject  
Class Status within
Liberal Arts Education
Students learn information and data sciences as fundamental knowledge and skills of all the class. 
Expected Outcome1. Students will be able to properly communicate based on the knowledge and skills of information and data sciences.
2. Students will be able to explain required information ethics and social problems to use the data. 
Class Objectives
/Class Outline
The purpose of this class is to introduce students to fundamental knowledge and skills to use data and computer in an appropriate manner. Students will be able to solve problems in an information-oriented society in consideration for an information ethic. 
Class Schedule lesson1 Guidance
lesson2 Data science and society
lesson3 Information representation and computer
lesson4 Information representation and computer
lesson5 Computer network
lesson6 Computer network
lesson7 Programming
lesson8 Programming
lesson9 Programming
lesson10 Artificial intelligence
lesson11 Accessibility
lesson12 Survey & information
lesson13 Survey & information
lesson14 Media literacy
lesson15 Media literacy

A report/presentation will be assigned. 
Text/Reference
Books,etc.
Related books are instructed during class. 
PC or AV used in
Class,etc.
 
(More Details)  
Learning techniques to be incorporated  
Suggestions on
Preparation and
Review
Follow instructions at the guidance and each class. 
Requirements The classroom will be specified. You will be able to find it on the bulletin board.   
Grading Method Active participation in classes (about 30%), assignments (about 30%), and term-end reports/presentations (about 30%) 
Practical Experience  
Summary of Practical Experience and Class Contents based on it  
Message In this class, a PC will be used. It is not a class to learn PC and application software. 
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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