52005001 Intelligence and Computer

Hiroshima University Syllabus

Japanese

Academic Year 2024Year School/Graduate School Liberal Arts Education Program

Lecture Code 52005001 Subject Classification Information and Data Science Courses

Subject Name 知能とコンピュータ［旧パッケージ］

Subject Name
（Katakana）チノウトコンピュータ

Subject Name in
English Intelligence and Computer

Instructor To be announced.

Instructor
(Katakana) タントウキョウインミテイ

Campus Higashi-Hiroshima Semester/Term 1st-Year, Second Semester, 4Term

Days, Periods, and Classrooms (4T) Inte：Online

Lesson Style Lecture Lesson Style
(More Details) 　

Lecture by using on demand video streams.
Moodle is used for mini-test and reports.

Credits 2.0 Class Hours/Week 　 Language of Instruction J : Japanese

Course Level 1 : Undergraduate Introductory

Course Area（Area） 25 : Science and Technology

Course Area（Discipline） 02 : Information Science

Eligible Students Freshman, Sophomore

Keywords Relationship between computer and human, ChatGPT, Text2Video AI, artificial intelligence, and learning

Special Subject for Teacher Education 　 Special Subject 　

Class Status within
Liberal Arts Education P2A,PN1:
Currently, AI is being increasingly integrated into various fields. By comparing the intelligence of computers with that of humans, this course provides a starting point for contemplating the nature of knowledge and exploring other fields related to cognition, learning, perception, and thought, and presents clear explanations of the mechanisms and characteristics of AI.
【As for the student who enrolled after AY2021, who take this subject and get the credit, this subject is regarded as "Information Data Science", as for the student who enrolled between AY2018 and AY2020, this subject is regarded as　"Area Courses", as for the students who enrolled before AY2017, this subject is regarded as "Package-based subject".】
Expected Outcome Learn features of artificial intelligence, and construct personal opinion concerning intelligence

Class Objectives
/Class Outline The goal of achieving human-level intelligence with computers has been a longstanding objective since the early days of computer development. While it was once thought that there is a long journey to achieve this, recent advancements in deep learning and AI models like OpenAI's chatbots and video generators have demonstrated significant progress in contextual understanding, approaching human-like capabilities. By examining the structures and characteristics of such artificial intelligence, this course endeavors to shape individual understanding regarding the realization of human knowledge, creativity, and cognitive abilities through computers.

Class Schedule lesson1: Guidance
lesson2: Artificial Intelligence and Human Intelligence
lesson3: History and Development of Artificial Intelligence
lesson4: Intelligence and Learning of Computers (1）
lesson5: Intelligence and Learning of Computers (2）
lesson6: Artificial Intelligence and Turing Test
lesson7: AI and Machine Learning
lesson8: Neural Networks and Deep Learning
lesson9: AI and Computer Vision
lesson10: AI and Robotics
lesson11: AI and Natural Language Processing
lesson12: AI and Computer Music
lesson13: AI and Speech Recognition
lesson14: Large Language Models
lesson15: Summary

Final examination and some reports

Text/Reference
Books,etc. No specific textbook.

PC or AV used in
Class,etc. 　

(More Details) Powerpoint

Learning techniques to be incorporated 　

Suggestions on
Preparation and
Review Self-investigation of unknown words and/or interesting contents

Requirements

Grading Method Mini-tests: 40%, Final exam or report 60%

Practical Experience

Summary of Practical Experience and Class Contents based on it

Message

Other 【As for the student who enrolled after AY2021, who take this subject and get the credit, this subject is regarded as "Information Data Science", as for the student who enrolled between AY2018 and AY2020, this subject is regarded as　"Area Courses", as for the students who enrolled before AY2017, this subject is regarded as "Package-based subject".】

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.

Academic Year	2024Year	School/Graduate School	Liberal Arts Education Program
Lecture Code	52005001	Subject Classification	Information and Data Science Courses
Subject Name	知能とコンピュータ［旧パッケージ］
Subject Name （Katakana）	チノウトコンピュータ
Subject Name in English	Intelligence and Computer
Instructor	To be announced.
Instructor (Katakana)	タントウキョウインミテイ
Campus	Higashi-Hiroshima	Semester/Term	1st-Year, Second Semester, 4Term
Days, Periods, and Classrooms	(4T) Inte：Online
Lesson Style	Lecture	Lesson Style (More Details)
Lecture by using on demand video streams. Moodle is used for mini-test and reports.
Credits	2.0	Class Hours/Week		Language of Instruction	J : Japanese
Course Level	1 : Undergraduate Introductory
Course Area（Area）	25 : Science and Technology
Course Area（Discipline）	02 : Information Science
Eligible Students	Freshman, Sophomore
Keywords	Relationship between computer and human, ChatGPT, Text2Video AI, artificial intelligence, and learning
Special Subject for Teacher Education		Special Subject
Class Status within Liberal Arts Education	P2A,PN1: Currently, AI is being increasingly integrated into various fields. By comparing the intelligence of computers with that of humans, this course provides a starting point for contemplating the nature of knowledge and exploring other fields related to cognition, learning, perception, and thought, and presents clear explanations of the mechanisms and characteristics of AI. 【As for the student who enrolled after AY2021, who take this subject and get the credit, this subject is regarded as "Information Data Science", as for the student who enrolled between AY2018 and AY2020, this subject is regarded as　"Area Courses", as for the students who enrolled before AY2017, this subject is regarded as "Package-based subject".】
Expected Outcome	Learn features of artificial intelligence, and construct personal opinion concerning intelligence
Class Objectives /Class Outline	The goal of achieving human-level intelligence with computers has been a longstanding objective since the early days of computer development. While it was once thought that there is a long journey to achieve this, recent advancements in deep learning and AI models like OpenAI's chatbots and video generators have demonstrated significant progress in contextual understanding, approaching human-like capabilities. By examining the structures and characteristics of such artificial intelligence, this course endeavors to shape individual understanding regarding the realization of human knowledge, creativity, and cognitive abilities through computers.
Class Schedule	lesson1: Guidance lesson2: Artificial Intelligence and Human Intelligence lesson3: History and Development of Artificial Intelligence lesson4: Intelligence and Learning of Computers (1） lesson5: Intelligence and Learning of Computers (2） lesson6: Artificial Intelligence and Turing Test lesson7: AI and Machine Learning lesson8: Neural Networks and Deep Learning lesson9: AI and Computer Vision lesson10: AI and Robotics lesson11: AI and Natural Language Processing lesson12: AI and Computer Music lesson13: AI and Speech Recognition lesson14: Large Language Models lesson15: Summary Final examination and some reports
Text/Reference Books,etc.	No specific textbook.
PC or AV used in Class,etc.
(More Details)	Powerpoint
Learning techniques to be incorporated
Suggestions on Preparation and Review	Self-investigation of unknown words and/or interesting contents
Requirements
Grading Method	Mini-tests: 40%, Final exam or report 60%
Practical Experience
Summary of Practical Experience and Class Contents based on it
Message
Other	【As for the student who enrolled after AY2021, who take this subject and get the credit, this subject is regarded as "Information Data Science", as for the student who enrolled between AY2018 and AY2020, this subject is regarded as　"Area Courses", as for the students who enrolled before AY2017, this subject is regarded as "Package-based subject".】
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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