Slides for Introduction to Artificial Intelligence
[Winter 2005]
These are the slides (in Hebrew!!!) for the course "Introduction to Artificial
Intelligence" given by Shaul Markovitch.
There are two sets of slides - the older set is in PDF format. For some of the
lectures in this semester there are new dynamic slides produced by the
Keynote presentation software
(made by Apple Computers).
The slides can be downloaded in several formats:
- Quicktime - Large: This is the best format to download. It is an interactive slide show that
is most similar to the experience you had in class. Note, however, that the files are very large
and a fast internet access is a must for downloading it. A free quicktime viewer can be downloaded from
here . I recommend dowloading the interactive file
to your local disk and playing it from there instead of just clicking on the link and playing it
from the browser. If you do not feel like clicking too much,
there is also a non-interactive movie.
- Quicktime - Medium: The slides will still be readable except some details occasionally.
- Quicktime - Small: Parts of the slides will not be readable. This format is best used
together with the PDF versions where the text is clear.
- PDF for screen: This is a static printable version of the slides.
- PDF for print: The original slides have dark background for readability in class.
This may present problem for people who wish to print the slides. This version is with black text
on white background. One problem with this format is that some of the graphics will not appear in print.
- PDF handouts: Same as above but small printouts for class notes.
Note! To use the interactive movies do not click on the icons. press
the right mouse button and save them to your disk. Then play them from the disk.
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Subject
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Large Quicktime
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Medium Quicktime
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Small Quicktime
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PDF screen
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PDF print
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Notes
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Notes (white)
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Last update
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Interactive
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non-Interactive
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Interactive
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non-Interactive
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Interactive
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non-Interactive
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Administration
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N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
[1.5MB]
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[1.5MB]
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[1.5MB]
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[1.5MB]
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7.11.2005
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Introduction
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N/A
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N/A
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[17.3MB]
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[12.7MB]
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[10.7MB]
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[7.3MB]
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[5.9MB]
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[5.7MB]
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[5.9MB]
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[5.7MB] |
7.11.2005
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Problem Solving
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N/A
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N/A
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[13.4MB]
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[13.4MB]
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[4.3MB]
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[1.5MB]
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[7.1MB]
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[6.9MB]
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[7.1MB]
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[6.8MB]
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8.11.2005
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Blind Search
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N/A
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N/A
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[1.7MB]
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[1.7MB]
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[0.5MB]
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[0.5MB]
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[0.7MB]
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[0.7MB]
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[0.7MB]
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[0.7MB]
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15.11.2005
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Heuristic Search
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[38MB]
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[38MB]
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[4.1MB]
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[4.1MB]
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[0.9MB]
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[0.9MB]
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[1.9MB]
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[1.8MB]
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[1.8MB]
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[1.8MB]
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15.11.2005
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Local Search
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[48MB]
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[48MB]
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[4.5MB]
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[4.5MB]
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[0.8MB]
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[0.9MB]
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[2.5MB]
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[2.4MB]*
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[2.4MB]
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21.11.2005
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Games
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[3.8MB]*
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10.1.2006
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Concept Learning
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[3.9MB]*
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10.1.2006
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Decision Tree Learning
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Jan 2009
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Slides from previous Semesters
Introduction [spring2003], Problem Solving[spring2003],
Blind Search[spring2002] [ Lisp code ], Heuristic Search[spring2002],
Astar[spring2002,updated 12-5-02], Games, Knowledge representation,Learning, Uncertainty.
Code
The Lisp code for solving the Jars problem.
Shaul Markovitch