Teaching Artificial Intelligence and Expert Systems Courses:Content and Strategies for Undergraduate Faculty

为了使本科教师能够顺利地将人工智能(AT)和专家系统课程引入课程，他们必须在内容上有充分的基础，并亲身经历过AT的原型开发过程。此外，他们还需要了解那些教授和研究这一领域的人的相关学习策略和经验。该项目为25名教师提供为期三周的密集暑期学院，包括内容模块、动手实验室实验和教学策略会议，以展示关于符号和逻辑编程、人工智能基础以及基于知识和专家系统的最新信息。符号编程的基本概念(以使用LISP为例)和经典逻辑和逻辑编程的基本概念(在PROLOG的实践范围内)首先在理论和实际实验室环境中介绍。第二周涵盖人工智能的基本范式(推理、目标减少、约束传播、搜索、控制、推理、知识表示，以及机器学习、视觉、机器人学、自然语言处理的元素)。在第三周，学员将学习和实践知识工程概念，在实验室中使用和积累编程、分析和使用一些知识库和专家系统的经验，并设计他们选择的基于规则的工作系统。这个暑期学院的高度模块化性质是为参加课程的教师提供各种各样的个人定制课程，以适应他们所在机构课程环境的确切需求和情况。

In order for undergraduate teaching faculty to be capable and comfortable in introducing courses in artificial intelligence (AT) and expert systems into the curriculum, they must be well founded in content and have personally experienced prototypical development processes in AT. In addition they need to know the associated learning strategies and experiences of those who have taught and researched this area. This project is presenting an intensive, three week, Summer Institute for 25 faculty consisting of content modules, hands-on laboratory experiments, and teaching strategy sessions to present up-to-date information on Symbolic and Logic Programming, Fundamentals of Artificial Intelligence, and Knowledge-Based and Expert Systems. The fundamental concepts of symbolic programming (as exemplified by the use of Lisp) and of classical logic and logic programming (within the practical limits of Prolog) are being presented first in both a theoretical and a practical laboratory setting. The second week is covering the fundamental paradigms of artificial intelligence (reasoning, goal reduction, constraint propagation, searching, control, deduction, knowledge representation, and the elements of machine learning, vision, robotics, natural language processing). During the third week the participants are learning knowledge engineering concepts and practicing them, working with and gaining experience in programming, analyzing, and using a number of KBS and ES shells in laboratories, and designing a working rule-based system of their choice. The highly modular nature of this summer institute is offering the attending faculty a wide variety of individually tailored courses adaptable to the precise needs and circumstances of their home institution curriculum environment.