Course title
Y01560003
Artificial Intelligence

 SHIMIZU Sota Click to show questionnaire result at 2019
Course description
Related to the artificial intelligence the world pay much attention to, this class have a lecture practically of its fundermantals as concentrating on the machine leraning.
Purpose of class
To understand fundamentals of the artificial intelligence and experience the machine leraning practically using programming.
Goals and objectives
  1. To Understand fundamentals of the artificial intelligence
  2. to understand the machine leraning and to apply it for esay applications
  3. To improve programing skills
Language
Japanese(English accepted)
Class schedule

 Class schedule HW assignments (Including preparation and review of the class.) Amount of Time Required
1. What's Aritificial Intelligence?
Its history 		Find out what airtificial intelligence and its history 90minutes
2. Search Find out problem solving by search 90minutes
3. A bit higher-level Search algorithm Find out a bit higher-level search algorithm and the lecture contents of the last time 90minutes
4. Knowledge Representation Find out knowledge representation and the lecture contents of the last time 90minutes
5. Reasoning Find out reasoning and the lecture contents of the last time 90minutes
6. Leraning Find out lerning and the lecture contents of the last time 90minutes
7. Neural Network and Reinforcement Learning Find out neural network and reinforcement learning and the lecture contents of the last time 90minutes
8. Text Processing and Natural Language Processing Find out text processing and natural language processing and the lecture contents of the last time 90minutes
9. Evolutionary Computation Find out evolutionary computation and the lecture contents of the last time 90minutes
10. Swarm Intelligence Find out swarm intelligence and the lecture contents of the last time 90minutes
11. Agent Simulation Find out agent simulation and the lecture contents of the last time 90minutes
12. Autonomous Agents Find out autonomous agents and the lecture contents of the last time 90minutes
13. Future of Artificial Intelligence Find out future of artificial intelligence and the lecture contents of the last time 90minutes
14. Summary Find out the overall of artificial intelligence and the lecture contents of the last time 90minutes
Total. - - 1260minutes
Relationship between 'Goals and Objectives' and 'Course Outcomes'

 ものづくりの場で応用して課題を解決できる。 Total.
1. 100% 100%
Total. 100% -
Evaluation method and criteria
Report 100%(totally need to submit 4 reports. Each report has 25pts). When the score is more than 60pts, the unit of this lecture is approved.
Textbooks and reference materials
ゼロから作るDeep Learning ―Pythonで学ぶディープラーニングの理論と実装, 斎藤 康毅 著，O'Reilly
人工知能入門，小高知宏，共立出版
Bring youe own notebook PC!
Prerequisites
Should experience Programing Practice. In addition, bring notebook to this lecture individually.
Office hours and How to contact professors for questions
  • Meet at the time of the lecture the end of the question
Regionally-oriented
Non-regionally-oriented course
Development of social and professional independence
  • Course that cultivates an ability for utilizing knowledge
  • Course that cultivates a basic self-management skills
  • Course that cultivates a basic problem-solving skills
Active-learning course
Most classes are interactive
Course by professor with work experience
Work experience Work experience and relevance to the course content if applicable
Applicable The professor who experience the contents of this lecture in other universities supports this lecture.
Education related SDGs:the Sustainable Development Goals
  • 3.GOOD HEALTH AND WELL-BEING
  • 4.QUALITY EDUCATION
  • 9.INDUSTRY, INNOVATION AND INFRASTRUCTURE
  • 13.CLIMATE ACTION
Feedback on exams, assignments, etc.
講義の中で課題の解答についてふれる．
Last modified : Sat Sep 09 05:05:08 JST 2023