Hiroshima University Syllabus

Back to syllabus main page
Japanese
Academic Year 2020Year School/Graduate School Liberal Arts Education Program
Lecture Code 30020001 Subject Classification Information and Data Science Courses
Subject Name 情報活用基礎[1医,1歯,1薬]
Subject Name
(Katakana)
ジヨウホウカツヨウキソ
Subject Name in
English
Elements of Information Literacy
Instructor INAGAKI TOMOHIRO,NAKASHIMA KENICHIRO,HIKITA ATSUSHI,MIYAO JUNICHI,HASHIMOTO TOSHIYA,SUMIYA TAKAHIRO,NAGATO YASUSHI,IWATA NORIKAZU,YAMAMOTO MIKIO
Instructor
(Katakana)
イナガキ トモヒロ,ナカシマ ケンイチロウ,ヒキタ アツシ,ミヤオ ジュンイチ,ハシモト トシヤ,スミヤ タカヒロ,ナガト ヤスシ,イワタ ノリカズ,ヤマモト ミキオ
Campus Higashi-Senda Semester/Term 1st-Year,  First Semester,  1Term
Days, Periods, and Classrooms (1T) Tues1-4:See Momiji Website for the detail.(Higashi-Senda Campus)
Lesson Style Seminar Lesson Style
【More Details】
Lecture and exercise, PC will be used 
Credits 2.0 Class Hours/Week   Language on Instruction J : Japanese
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 Information ethics (lecture)
lesson3 Information representation and computer (lecture)
lesson4 Information representation and computer (exercise)
lesson5 Computer network (lecture)
lesson6 Computer network (exercise)
lesson7 Communication skills (exercise)
lesson8 Questionnaire survey (lecture)
lesson9 Questionnaire survey (exercise)
lesson10 Information design and media (online)
lesson11 Information design and media (exercise)
lesson12 Computer programming (lecture)
lesson13 Computer programming (exercise)
lesson14 Artificial intelligence (lecture)
Information ethics (online)
Communication skills (online)

A report will be assigned in each exercise class. The term-end examination covers lecture and online couses. 
Text/Reference
Books,etc.
Textbook: 大学生からの情報リテラシー 
PC or AV used in
Class,etc.
Text, handout, Web, PC 
Suggestions on
Preparation and
Review
Follow instructions at the guidance and each class. Finish the online course within the specified period. 
Requirements The class room is specified for each fresh student. You will be able to find it on the bulletin bord.  
Grading Method Lecture: Active participation in classes, assignments, term-end examination (about 40%)
Exercise: Active participation in classes, assignments  (about 40%)
Online: online examination and term-end examination (about 20%) 
Practical Experience  
Summary of Practical Experience and Class Contents based on it  
Message In this class PC will be used. It is not a class to learn PC and application software. 
Other Teachers who have work experience in information system are doing exercises based on their experience. 
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