人工智能B
（统计系外聘教师）STA3032024秋2024秋
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| 选课类别：专业任务 | 教学语言：双语 |
| 课程类别：专业核心课 | 开课单位：统计与数据科学系 |
| 课程层次：未知 | 获得学分：3.0 |
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课程简介（教工部数据）
STA303. 人工智能B（3）理论课，3学分，共64学时。先修课程：计算机程序设计基础 (CS109)，数据结构与算法分析B（CS203B）本课程从人工智能的历史和发展趋势出发，介绍人工智能的基本概念、技术和应用，涵盖智能代理、知识表示和推理、搜索和规划、机器学习、强化学习等主题，并在此基础上讲述智能系统的组成部分和应用场景，并介绍一些智能系统开发工具和技术，培养学生理解和分析智能系统的能力。
STA303. Artificial Intelligence B(3)Lecture, 3 credits, 3 hours per week. Pre-requisites: Introduction to Computer Programming, Data Structures and Algorithm Analysis BThis course starts with the history and development trends of artificial intelligence, introducing its basic concepts, technologies, and applications. It covers topics such as intelligent agents, knowledge representation and reasoning, search and planning, machine learning, reinforcement learning, and more. Based on these topics, the course discusses the components and application scenarios of intelligent systems, and introduces some intelligent system development tools and technologies, helping students cultivate their understanding and analytical skills of intelligent systems.
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