Consult my online meeting venue details.  Parking on campus at the time of our Meetup is generally free (at least in my experience in 36 years of parking there).  If lost on campus (or in the district), then call me at [masked].

We will be meeting to discuss the week's lesson units, homework, and tests. For those getting into the first two lessons, this is not a cream-puff lecture course, but neither has it shown to be dry academics.  By the end of this course, the quality of instruction should put you in on firm grounding in A.I. 

As with any of the AI meetups, any AI topic brought to the table is open for discussion.  This Meetup has a focus, but as it is open in nature, then it needn't dominate our time together.  A frequent "take away" found by A.I. Meetup's participants is the level of stimulating discussion that keys the imagination and presents new perspectives to what seem to be intractable problems.

Date Content Homework & Exams

* Week of Oct 10 Overview of AI, Search Assignment 1 due Oct 16

* Week of Oct 17 Statistics, Uncertainty, and Bayes networks Assignment 2 due Oct 23

* Week of Oct 24 Machine Learning Assignment 3 due Oct 30

* Week of Oct 31 Hidden Markov models and Bayes filters Assignment 4 due Nov 7

* Week of Nov 7 Markov Decision Processes and Reinforcement Learning Assignment 5 due Nov 13

* Week of Nov 14 Adversarial planning (games) and belief space planning (POMDPs) MIDTERM EXAM due Nov 20

* Week of Nov 21 Logic and Logical Problem Solving Assignment 6 due Nov 27

* Week of Nov 28 Image Processing and Computer Vision Assignment 7 due Dec 4

* Week of Dec 5 Robotics and robot motion planning Assignment 8 due Dec 11

* Week of Dec 12 Natural Language Processing and Information Retrieval FINAL EXAM due Dec 18