Course title
人工知能特論   [Selected Topics in Artificial Intelligence]
Course category courses for master's programs  Requirement   Credit 2 
Department   Year   Semester Spring 
Course type Spring  Course code 1060613
Instructor(s)
藤田 桂英   [FUJITA Katsuhide]
Facility affiliation Faculty of Engineering Office   Email address

Course description
This lecture demonstrates some intelligence algorithms and AI systems. These topics range from Base technology to state-of-art one. Mainly, we proceed the lecturing from the instructor and in turn among students.
Expected Learning
- Learning the whole knowledge related to AI
- Learning the ability to generate the AI system
Course schedule
- Natural Language Processing: Corpus, thesaurus, Morphological Analysis, Statistical natural language processing, Document classification, Information Retrieval, Text Mining
- Web Intelligence: Search Engine (Indexing, Ranking, Crawling), Community Formation (Complex Network), Recommendation System and Collective Intelligence, Web programing
- Software Agent: What’s Agent? Cooperation (Problem Solving, Search, Action Selection), Negotiation, Market-based Mechanism, Auction, Learning, Complex System

- Lecturing in turn among students. (Stuart Russell, Peter Norvig, "Artificial Intelligence: A Modern Approach (3rd Edition))
Prerequisites
None
Required Text(s) and Materials
None
References
Stuart Russell, Peter Norvig, "Artificial Intelligence: A Modern Approach (3rd Edition)
Assessment/Grading
Reports and attendances
Message from instructor(s)
Through the AI class, you can learn the way that computers solve the complex problems with the intelligence. In addition, you can learn some important AI algorithms which work in the society.
Course keywords
Problem Solving, Game-Tree Search, Knowledge Representation, Natural Language Processing, Web Intelligence, Software Agents
Office hours
Please e-mail to the instructor when you have questions
Remarks 1
Remarks 2
Related URL
Lecture Language
Japanese
Language Subject
English
Last update
3/22/2017 6:37:23 PM