Topics in Symbolic Artificial Intelligence
Design, Learning and Collaboration

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Course Requirements



Time: Monday and Wednesday 4:00-5:15 pm
Location: Integrated Teaching and Learning Laboratory (ITLL 1B50)
Instructor: Gerhard Fischer (
  Leysia Palen (
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Objectives. This course will focus on creating a new understanding of design, learning and collaboration (as fundamental human activities) and their support with innovative computational media and technologies. The possibilities and the practice of design, learning and collaboration are a function of the media with which we design. The goal of the course is to explore the unique possibilities which computational media can have to impact and transform these activities by transcending "gift-wrapping" approaches (in which the new media are used primarily to present old content and old processes) in order to create true innovations.

Outline of Topics: design, design processes, design methodologies (object-oriented design, component-based design, evolutionary design), design rationale, domain-oriented design environments, things that make us smart, high-functionality applications, end-user modifiability, learning, lifelong learning, creativity, communities of practice, communities of interests, organizational learning, organizational memories, information repositories

Course Requirements and Grading: Participants are expected to play an active role in this course by exploring topics of personal interest in a self-directed way, by contributing knowledge derived from their own research activities, by being willing to learn from each other, by working on (individual or collaborative) course projects, and by being interested in interdisciplinary collaborations. Grades will be determined by the successful participation in all of these different dimensions.

Texts: Reading Material will be provided by the instructor.


  1. Interest in (a) design, learning and collaboration processes (as they occur in software design, multi-media design, writing, architectural design, urban planning, ...), and (b) innovative uses of computational media for learning, design, and collaboration

  2. Background knowledge in some of the following areas: human-computer interaction, software design, cognitive science, learning, education, architecture, environmental design, artificial intelligence, graphic arts, ......

  3. Prerequisites for enrollment:

Last Updated: 3/4/99; 4:37:39 PM
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