Artificial Intelligence
Numbering Code | U-ENG29 39116 LJ12 | Year/Term | 2022 ・ First semester | |
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Number of Credits | 2 | Course Type | Lecture | |
Target Year | Target Student | |||
Language | Japanese | Day/Period | Wed.3 | |
Instructor name | KANDA TAKAYUKI (Graduate School of Informatics Professor) | |||
Outline and Purpose of the Course | This lecture introduces basic technologies of artificial intelligence. Topics will be selected from search, machine learning, and real-world agent. | |||
Course Goals | Learning the concept of artificial intelligence and the basic models and algorithms of search, machine learning, and real-world agent. | |||
Schedule and Contents |
Introduction,1time,Introducing the history of artificial intelligence researches. Search,3-4times,Introducing breadth-first search, depth-first search, heuristic search, AND/OR-graph search, adversarial search, constraint satisfaction, etc. Applications of search techniques such as computer chess, Sudoku, are also introduced. Machine Learning,7-8times,Introducing decision tree learning, perceptron, SVM, genetic algorithm, reinforcement learning, deep learning, etc. Applications of machine learning techniques such as data mining are also introduced. Real-world agent,3-4times,Introducing AI techniques for "uncertain" situation, including basic perception and robotics, and probabilistic reasoning over time. Applications of AI for robotics are also introduced. Achievement level check,1time,Checking the achievement level |
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Evaluation Methods and Policy | By reports and a final examination. | |||
Course Requirements | None | |||
Textbooks | Textbooks/References | Materials will be distributed. | ||
References, etc. |
S. Russell and P. Norvig, Artificial Intelligence A Modern Approach (3rd.ed.), Prentice Hall, 2010 isbn{}{9780136042594}. |
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Courses delivered by Instructors with Practical Work Experience |
分類: A course with practical content delivered by instructors with practical work experience |
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Related URL |