IntroAISyllabus < Mutualdiscovery

Intro to AI course at CSU East Bay, Fall 2008, -- HilaryHolz - 25 Sep 2008

course description
- short descriptions: 4810: Artificial Intelligence and 6810: Topics in Artificial Intelligence
- expanded description is really more useful: only for 4810. from this, we'll cover
  - fundamentals
  - AI as knowledge representation and reasoning (agents)
  - pickup the search stuff as relevant
  - machine learning material is now its own course
unusual approach to teaching and learning in this course
- group exploratory labs as a core element
- prep is another core element, see HowPrepWorks
what you'll get out of putting up with my strange way of teaching
- writing as part of your professional practice
  - writing as part of the software product itself
  - 'reflective writing' about the software product
- portfolio pieces
- improve a number of cognitive skills in addition to writing
  - I'll introduce those in context
- improve meta-cognitive skills, too
  - reflection
  - self-assessment
  - self-monitoring
  - scaffolding - particularly important in computing

so, how does grading work?
- I would prefer to go with labs and exercises only, as we are on quarters. 10 weeks gives us very few class meetings, and I'd rather not waste them on exams. Let's see how the quarter goes.
- What's the difference between 4810/6810? 6810 students go into more depth and do extra work.
  - Ok, but how will that work with this pedagogy? Good question! One possibility is to have 6810 students do some outside reading on topics of their interest and do some presentations. Another is to have them do some teaching. Possibly we can combine those in some way. Think about those possibilities and lets talk.

MutualDiscoveryForm
Mutualdiscdev.CSUEBFall08Courses:	IntroAIFall08