Syllabus data
|
Teacher name ： YAMATO Junji
|
Academic year
2025Year
Term
First Semester
Course title
Artificial Intelligence
Class type
Lecture
Course title (ENG)
Artificial Intelligence
Class code・Class name・Teaching forms
Z1000002 Artificial Intelligence
Instructor
YAMATO Junji
Credits
2.0Credits
Day and Time
Wed.5Period
Campus
Hachioji Remote
Location
.,1E-205講義室
Relationship between diploma policies and this course
A) A high degree of specialized expertise 80%
B) The skills to use science and technology 20% C) The ability to conduct research independently, knowledge pertaining to society and occupations, and sense of ethics required of engineers and researchers 0% D) Creative skills in specific areas of specialization 0% Goals and objectives
In this class, students study essential concepts of Artificial Intelligence research while clarifying meaning based on historical circumstances. While reading and discussing critical papers to understand the background and meaning of the latest technology, we examine implementation and application.
Prerequisites
Machine Learning and Pattern Recognition are prerequisites.
Method Using AL・ICT
Discussion Debate／Presentation
Class schedule
１. Guidance. History of Artificial Intelligence.
２. GOFAI(Good Old Fashioned AI) and critic ３. Embodied Intelligence 1 ４. Embodied Intelligence 2 ５. Connectionism and its renaissance ６. Computer vision and Speech recognition 1 ７. Computer vision and Speech recognition 2, Deep learning ８. Society of Mind 1, Agent, Wholes and Parts ９. Society of Mind 2, The self, Individuality, Insight and Introspection １０. Society of Mind 3, Problems and Goals, A theory of Memory １１. Society of Mind 4, Papert's principle, Learning meaning １２. Deep learning 1. Models: CNN type models for classification １３. Deep learning 2. Models: Attention and Transformers １４. Recap １５. Presentation of class project. Evaluation
Students must submit two reports at the midterm and the end of the term. The evaluation would proceed by the grade of the reports (60%) and the final presentation of the class project (40%).
Feedback for students
comments on student's reports and presentations will be provided
Textbooks
Marvin Minsky, "The Society of Mind", Simon and Schuster
http://aurellem.org/society-of-mind/ Reference materials
Winograd and Florence, "Understanding Computers and Cognition", Addison-Wesley
Rodney Brooks, "Cambrian Intelligence", MIT Press Office hours and How to contact teachers for questions
Monday, 10-11am, Bld.2 Rm505 in Hachioji
Message for students
Machine Learning and Pattern Recognition are prerequisites, not officially, but very strongly recommended.
Course by professor with work experience
Not applicable
Work experience and relevance to the course content if applicable
画像認識，音響認識の研究開発・商用化
Teaching profession course
Informatics Program
|
