Content can be divided into four sections
Bayes net
We spend a bunch of time on breadth and depth first search. Then quickly cover A* and IDFS. Assuming you've taken 108/148 you could get as much out of reading wikipedia's articles on astar and IDFS as going through this class.
Think along the lines of finding a solution to a typical boolean satisfiability problem. You try things until it works. On the offchance you ever need this googling how to do it should tell you everything we learn in the class.
This is like a rushed, less rigorous version of CSC438 where you end up memorizing a few algorithms that are useless unless you actually understand them. Just take CSC438 instead if you're interested.
If you've taken a statistics course you should have done this. If you haven't you should probably take a statistics course if you're at all interested in AI.