Hiroshima University Syllabus

Back to syllabus main page
Japanese
Academic Year 2024Year School/Graduate School School of Informatics and Data Science
Lecture Code KA210001 Subject Classification Specialized Education
Subject Name ヒューマンコンピュータインタラクション
Subject Name
(Katakana)
ヒューマンコンピュータインタラクション
Subject Name in
English
Human Computer Interaction
Instructor HIRASHIMA TSUKASA
Instructor
(Katakana)
ヒラシマ ツカサ
Campus Higashi-Hiroshima Semester/Term 3rd-Year,  Second Semester,  3Term
Days, Periods, and Classrooms (3T) Fri5-8:ENG 111
Lesson Style Lecture Lesson Style
(More Details)
 
Lecture, On-line report submission with Moodle. 
Credits 2.0 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 Information Engineering
Keywords Human Computer Interaction, Cognitive Model, Interactive Systems  
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)
Program of Electrical,Systems and Information Engineering
(Abilities and Skills)
・Concepts, knowledge and methods which are the basis for studies related to electrical, systems, and information engineering.

Program of Electronic Devices and Systems
(Abilities and Skills)
・Ability to apply basic concepts, knowledge, and methods of electronics engineering to concrete/technical problems.

Computer Science Program
(Abilities and Skills)
・D3. Knowledge of hardware and software and programming ability to process data efficiently.

Data Science Program
(Abilities and Skills)
・A. Information infrastructure development technology, information processing technology, technology that analyzes data and creates new added value.

Intelligence Science Program
(Abilities and Skills)
・D2. Information processing ability and data analysis ability to contribute to the application and development of artificial intelligence and IoT. 
Class Objectives
/Class Outline
In human-computer interaction, a computer is regarded as a tool for interaction, and not only the computer but also human him/herself are target to analyze as factors in interaction. In this lecture, mainly focusing human recognition, we learn and discuss the design of human-computer interaction.  
Class Schedule lesson1
What is Human-Computer Interaction
lesson2
Information processing in perception
lesson3
Information processing in memory
lesson4
Information processing with knowledge(1)
Semantic network
lesson5
Information processing with knowledge(2)
Production system
lesson6
Information processing in problem solving(1)
Description of problem
lesson7
Information processing in problem solving(2)
Search space
lesson8
Information processing in problem solving(3)
Game tree
lesson9
Natural language processing
lesson10
Design of an interactive system (1)
Visualization, mapping, feedback and mental model
lesson11
Design of an interactive system (2)
Seven step model
lesson12
Design of interactive system(3)
Input in an interactive system
lesson13
Design of interactive system (4)
Output in an interactive system
lesson14
Practice of interactive systems(1)
Use and analyze several interactive systems
lesson15
Practice of interactive systems(2)
Report the design of the interactive systems 
Text/Reference
Books,etc.
Handout is provided (on Moodle)
 
PC or AV used in
Class,etc.
 
(More Details)  
Learning techniques to be incorporated  
Suggestions on
Preparation and
Review
In every lecture, several reports are assigned to submit with Moodle. 
Requirements  
Grading Method Evaluation based on several reports in class and a semester test. 
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