Course title
1M5240001
Intelligent Systems

 yasumura yoshiaki Click to show questionnaire result at 2018
Course content
As an enormous amount of data like a Web data can easily acquired, intelligent systems that can process such data are required. This lecture presents fundamental technology for creating intelligent systems, and introduces actual intelligent systems. Basic technologies of intelligent systems such as machine learning, agents, and natural language processing, are discussed.
Purpose of class
The purpose of this class is to understand basic technology of artificial intelligence, especially machine learning and natural language processing.
Goals and objectives
  1. Students can understand basic technology and concepts of intelligent systems
  2. Students can understand basic technology of machine learning.
  3. Students can understand basic technology of natural language processing and agents
Language
Japanese
Class schedule

 Class schedule HW assignments (Including preparation and review of the class.) Amount of Time Required
1． Introduction
Intelligent systems 		Review intelligent systems 60minutes
2． Machine Learning (1)
Nearest Neighbor 		Review Nearest Neighbor 200minutes
3． Machine Learning (2)
Version Space 		Review version space 200minutes
4． Machine Learning (3)
Decision Tree 		Review Decision Tree 200minutes
5． Machine Learning (4)
Neural Networks 		Review Neural Networks 200minutes
6． Machine Learning (5)
Deep Learning 		Review Deep Learning 200minutes
7． Machine Learning (6)
Support Vector Machine
Ensemble Learning 		Review support vector machine 200minutes
8． Machine Learning (7)
Clastering
Semi-supervised Learning 		Review clastering 200minutes
9． Machine Learning (6)
Reinforcement Learning 		Review reinforcement learning 200minutes
10． Natural Language Processing (1)
Morphological Analysis
　Syntactic Analysis 		Review Syntactic Analysis 200minutes
11． Natural Language Processing (2)
Information Retrieval 		Review information retrieval 200minutes
12． Semantic Web Review semantic web 200minutes
13． Application System (1)
Recommendation System 		Review recommendation system 200minutes
14． Application System (2)
Legal Reasoning 		Review legal reasoning 200minutes
Total. - - 2660minutes
Relationship between 'Goals and Objectives' and 'Course Outcomes'

 Report Total.
1. 20% 20%
2. 50% 50%
3. 30% 30%
Total. 100% -
Evaluation method and criteria
Reports 100%
Textbooks and reference materials
Reference materials are instructed by the teachar.
Prerequisites
Nothing
Office hours and How to contact professors for questions
  • Wednesday lunch break
Relation to the environment
Non-environment-related course
Regionally-oriented
Non-regionally-oriented course
Development of social and professional independence
  • Non-social and professional independence development course
Active-learning course
N/A
Course by professor with work experience
Work experience Work experience and relevance to the course content if applicatable
N/A N/A
Last modified : Thu Mar 21 15:26:36 JST 2019