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Barella, A.; Valero, S.; Carrascosa, C. – IEEE Transactions on Education, 2009
This paper presents a new environment for teaching practical work in AI subjects. The main purpose of this environment is to make AI techniques more appealing to students and to facilitate the use of the toolkits which are currently widely used in research and development. This new environment has a toolkit for developing and executing agents,…
Descriptors: Research and Development, Science Education, Case Studies, Teaching Methods
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Weller, M. J.; Hopgood, A. A. – European Journal of Engineering Education, 1997
Artificial Intelligence for Technology, a distance learning course at the Open University, is based on a learning model that combines conceptualization, construction, and dialog. This allows a practical emphasis which has been difficult to implement in distance education. The course uses commercial software, real-world-based assignments, and a…
Descriptors: Artificial Intelligence, Course Descriptions, Distance Education, Engineering Education
Beniger, James R. – Science, Technology & Society, 1987
Provides the syllabus for a graduate course in communication technologies and social change offered at the University of California (Annenberg School of Communications). Includes a course overview, a list of readings, and a weekly breakdown of topics and assignments. Addresses the preindustrial, industrial and information societies. (TW)
Descriptors: Artificial Intelligence, College Science, Communications, Computers
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Venkatasubramanian, V. – Chemical Engineering Education, 1986
Describes a course on artificial intelligence (AI) in process engineering taught at Columbia University to chemical engineering students, using an AI methodology known as Knowledge-Based Expert Systems (KBES). Provides a description of the course, the lecture topics, and a synopsis of some of the student projects. (TW)
Descriptors: Artificial Intelligence, Chemical Engineering, College Science, Computer Uses in Education