| Academic Year |
2024Year |
School/Graduate School |
Liberal Arts Education Program |
| Lecture Code |
30040001 |
Subject Classification |
Information and Data Science Courses |
| Subject Name |
情報・データ科学入門[1法,1医,1歯,1薬] |
Subject Name
（Katakana） |
ジョウホウ・データカガクニュウモン |
Subject Name in
English |
Introduction to Information and Data Sciences |
| Instructor |
INAGAKI TOMOHIRO,NAKASHIMA KENICHIRO,MURAKAMI YUKO,HIKITA ATSUSHI,HASHIMOTO TOSHIYA,SUMIYA TAKAHIRO,NAGATO YASUSHI,YAMAMOTO MIKIO |
Instructor
(Katakana) |
イナガキ トモヒロ,ナカシマ ケンイチロウ,ムラカミ ユウコ,ヒキタ アツシ,ハシモト トシヤ,スミヤ タカヒロ,ナガト ヤスシ,ヤマモト ミキオ |
| Campus |
Kasumi |
Semester/Term |
1st-Year, First Semester, 1Term |
| Days, Periods, and Classrooms |
(1T) Tues1-4：Online,霞R304講義室 |
| Lesson Style |
Seminar |
Lesson Style
(More Details) |
|
| Lecture and exercise, PC will be used |
| Credits |
2.0 |
Class Hours/Week |
|
Language of 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 Outcome | 1. 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, artificial intelligence and society
lesson2 Data science and society (lecture)
lesson3 Information, data, AI and computer (lecture)
lesson4 Information, data, AI and computer (exercise)
lesson5 Computer network (lecture)
lesson6 Computer network (exercise)
lesson7 Programing (lecture)
lesson8 Programing (exercise)
lesson9 Artificial intelligence (lecture)
lesson10 Questionnaire survey (lecture)
lesson11 Questionnaire survey (exercise)
lesson12 Accessibility (lecture)
lesson13 Media literacy (lecture)
lesson14 Media literacy (exercise)
lesson15 Media literacy (exercise)
Information ethics (online)
Basically, online tests are assigned for (lectures), reports are assigned for (exercises), and online courses are assigned online exams. |
Text/Reference
Books,etc. |
Basically, teaching materials will be provided online. Related books are instructed during class. |
PC or AV used in
Class,etc. |
|
| (More Details) |
Text, handout, Web, PC |
| Learning techniques to be incorporated |
|
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: Assignments (about 45%)
Exercise: Active participation in classes, assignments (about 45%)
Online: Online examination (about 10%) |
| Practical Experience |
Experienced
|
| Summary of Practical Experience and Class Contents based on it |
Teachers who have work experience in information system are doing exercises based on their experience. |
| Message |
In this class 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. |