52005002 Intelligence and Computer

Hiroshima University Syllabus

Japanese

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

Lecture Code 52005002 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 RAYTCHEV BISSER ROUMENOV

Instructor
(Katakana) ライチェフ　ビセル　ルメノフ

Campus Higashi-Hiroshima Semester/Term 1st-Year,  Second Semester,  3Term

Days, Periods, and Classrooms (3T) Weds5-8：Online

Lesson Style Lecture Lesson Style
(More Details) 　

It will be conducted as a hybrid of online simultaneous interactive and on-demand.

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 anyone interested in computers and intelligence, no special preparation or previous background is needed to understand this lecture

Keywords Artificial Intelligence (AI), Computers, Brain, Algorithms, Computation, Programming, Language, Machine Learning, Deep Learning

Special Subject for Teacher Education 　 Special Subject 　

Class Status within
Liberal Arts Education P2A, PN1
Expected Outcome 1. To acquire basic knowledge, skills, and attitudes regarding information science and data science, and thereby to be able to process data and receive and send information appropriately.
2. To understand and be able to explain information ethics necessar

Class Objectives
/Class Outline By developing their intelligence people became able to think about distant and abstract things like the end of the universe, or the birth and death of stars and galaxies. But what is the essence of this thing called "intelligence"? R. Feynman famously said "What I cannot create, I do not understand." By this logic, in order to truly understand intelligence, we need to build one. This is what Artificial Intelligence (AI) is trying to do. In this lecture, we will try to think about "What is intelligence" by studying the history, present state and future of computers and AI itself (some of the most recent AI technology will be also demonstrated).



Class Schedule lesson 1  Guidance
lesson 2  The history of computing and computers (1)
lesson 3  The history of computing and computers (2)
lesson 4  Algorithms and Turing machines
lesson 5  How computers work (1)
lesson 6  How computers work (2)
lesson 7  Programming languages (1)
lesson 8  Programming languages (2)
lesson 9  Using the LOGO language to draw a picture
lesson 10  Artificial Intelligence (1) Search and Games
lesson 11  Artificial Intelligence (2) Knowledge representation and Reinforcement learning
lesson 12  Artificial Intelligence (3) Deep learning, Computer Vision and Natural Language Processing
lesson 13  Artificial Intelligence and the future of humanity (1)
lesson 14  Artificial Intelligence and the future of humanity (2)
lesson 15  Conclusions

simple programming assignment (using LOGO to draw a picture), write reports after watching AI-related videos, end-of-term examination

Text/Reference
Books,etc. no specific textbook will be used

PC or AV used in
Class,etc. 　

(More Details) Power Point slides, videos

Learning techniques to be incorporated 　

Suggestions on
Preparation and
Review No specific preparation is necessary for the lecture, but active participation is encouraged.
Regarding the programming assignment and reports, you need to do some self-study.

Requirements

Grading Method programming assignment (draw a picture using the LOGO programming language), reports and end-of-term exam

Practical Experience

Summary of Practical Experience and Class Contents based on it

Message

Other 【For students who have enrolled after AY2021, who take this subject and get the credit, this subject is regarded as "Information Data Science", for students who enrolled between AY2018 and AY2020, this subject is regarded as　"Area Courses", for 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	52005002	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	RAYTCHEV BISSER ROUMENOV
Instructor (Katakana)	ライチェフ　ビセル　ルメノフ
Campus	Higashi-Hiroshima	Semester/Term	1st-Year, Second Semester, 3Term
Days, Periods, and Classrooms	(3T) Weds5-8：Online
Lesson Style	Lecture	Lesson Style (More Details)
It will be conducted as a hybrid of online simultaneous interactive and on-demand.
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	anyone interested in computers and intelligence, no special preparation or previous background is needed to understand this lecture
Keywords	Artificial Intelligence (AI), Computers, Brain, Algorithms, Computation, Programming, Language, Machine Learning, Deep Learning
Special Subject for Teacher Education		Special Subject
Class Status within Liberal Arts Education	P2A, PN1
Expected Outcome	1. To acquire basic knowledge, skills, and attitudes regarding information science and data science, and thereby to be able to process data and receive and send information appropriately. 2. To understand and be able to explain information ethics necessar
Class Objectives /Class Outline	By developing their intelligence people became able to think about distant and abstract things like the end of the universe, or the birth and death of stars and galaxies. But what is the essence of this thing called "intelligence"? R. Feynman famously said "What I cannot create, I do not understand." By this logic, in order to truly understand intelligence, we need to build one. This is what Artificial Intelligence (AI) is trying to do. In this lecture, we will try to think about "What is intelligence" by studying the history, present state and future of computers and AI itself (some of the most recent AI technology will be also demonstrated).
Class Schedule	lesson 1 Guidance lesson 2 The history of computing and computers (1) lesson 3 The history of computing and computers (2) lesson 4 Algorithms and Turing machines lesson 5 How computers work (1) lesson 6 How computers work (2) lesson 7 Programming languages (1) lesson 8 Programming languages (2) lesson 9 Using the LOGO language to draw a picture lesson 10 Artificial Intelligence (1) Search and Games lesson 11 Artificial Intelligence (2) Knowledge representation and Reinforcement learning lesson 12 Artificial Intelligence (3) Deep learning, Computer Vision and Natural Language Processing lesson 13 Artificial Intelligence and the future of humanity (1) lesson 14 Artificial Intelligence and the future of humanity (2) lesson 15 Conclusions simple programming assignment (using LOGO to draw a picture), write reports after watching AI-related videos, end-of-term examination
Text/Reference Books,etc.	no specific textbook will be used
PC or AV used in Class,etc.
(More Details)	Power Point slides, videos
Learning techniques to be incorporated
Suggestions on Preparation and Review	No specific preparation is necessary for the lecture, but active participation is encouraged. Regarding the programming assignment and reports, you need to do some self-study.
Requirements
Grading Method	programming assignment (draw a picture using the LOGO programming language), reports and end-of-term exam
Practical Experience
Summary of Practical Experience and Class Contents based on it
Message
Other	【For students who have enrolled after AY2021, who take this subject and get the credit, this subject is regarded as "Information Data Science", for students who enrolled between AY2018 and AY2020, this subject is regarded as　"Area Courses", for 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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