| Course title | |||||
| 生物機能化学 [Chemistry for Biological Functions] | |||||
| Course category | thesis research and other related studies | Requirement | Credit | 1 | |
| Department | Year | ～ | Semester | Fall | |
| Course type | Fall | Course code | 112117 | ||
| Instructor(s) | |||||
| 金子 弥生 [KANEKO Yayoi] | |||||
| Facility affiliation | Institute of Global Innovation Research | Office | Email address | ||
| Course description |
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Students will learn the elementary skills of AI (artificial intelligence) with a 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. Class code: 4g6iqak(2023/03/29 updated) |
| Expected Learning |
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You will learn the basic skills of game programming, 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 |
| 3/29/2023 2:55:07 PM |