| Course title | |||||
| 生体モデル知覚システム特論Ⅰ [Advanced Bio-modeled Sensory Systems Ⅰ] | |||||
| Course category | interdisciplinary exchange courses | Requirement | Credit | 1 | |
| Department | Year | ～ | Semester | 1st | |
| Course type | 1st | Course code | 112117 | ||
| Instructor(s) | |||||
| 古宮 嘉那子 [KOMIYA Kanako] | |||||
| Facility affiliation | Graduate School of Bio-Applications and Systems Engineering | Office | Email address | ||
| Course description |
| Students will learn elementary skill of AI (artificial intelligence) with special focus on game programming, statistical methods of AI, and reinforcement learning and unsupervised learning methods that were not included in the lecture on natural language processing. |
| Expected Learning |
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You will learn the basic skills of game programing, excluding deep learning, Bayesian algorithms, and unsupervised learning. Corresponding criteria in the Diploma Policy: See the Curriculum maps. |
| Course schedule |
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1 Orientation 2 Introduction to game programming 3 Game trees 4 Evaluation functions 5 Go and Monte Carlo 6 Bayesian algorithms 7 Clustering 8 Dimension reduction |
| Prerequisites |
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You should have knoledge learned at lecture of natural language processing. You should have some programing skills of python. |
| Required Text(s) and Materials |
| References |
| Give instructions as appropriate. |
| Assessment/Grading |
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The grading is done according to final report. . You should learn how to use machine learning toolkit on your own, because you must use them for your report but there is no lesson for how to use them. |
| Message from instructor(s) |
| Course keywords |
| Office hours |
| Email to the instructor. |
| Remarks 1 |
| Remarks 2 |
| Related URL |
| Lecture Language |
| Japanese |
| Language Subject |
| Last update |
| 1/31/2022 4:30:54 PM |