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

为了使本科教学人员能够自如地将人工智能（AT）和专家系统课程引入课程，他们必须在内容上有良好的基础，并亲身经历过人工智能的原型开发过程。此外，他们还需要了解相关的学习策略，以及教授和研究这一领域的人的经验。该项目为25名教师提供为期三周的暑期强化课程，包括内容模块、动手实验和教学策略课程，以介绍符号和逻辑编程、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Lisp为例）、经典逻辑和逻辑编程的基本概念（在Prolog的实际范围内）首先在理论和实践的实验室环境中呈现。第二周涵盖人工智能的基本范式（推理、目标约简、约束传播、搜索、控制、演绎、知识表示，以及机器学习、视觉、机器人、自然语言处理的要素）。在第三周，参与者将学习知识工程概念并进行实践，在实验室中使用KBS和ES shell进行编程、分析和使用，并获得经验，并设计自己选择的基于规则的工作系统。这个暑期学院的高度模块化的性质是为参加的教师提供各种各样的个性化课程，以适应他们本国机构课程环境的精确需求和情况。

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.