06-08775 Introduction to AI

Manfred Kerber 10 credits in Semester 1

Locations

The lectures and lab classes take part
Mondays10:00-11:00Week 2: Rm 203, Chemical Sciences, Haworth
   Weeks 3-11: Lab G4 (Half of Class)
Tuesdays14:00-16:00Large Lecture Theatre, Physics Poynting Building
Thursdays11:00-12:00Weeks 3-11: Lab G4 (Half of Class)
Thursdays12:00-13:00Office Hour of Noel Welsh (145 or Lab)
For the office hours of Manfred Kerber, see http://www.cs.bham.ac.uk/~mmk/timetable.html.

Recommended Books

Title Author(s) Publisher Comments
Artificial Intelligence: A New Synthesis Nils Nilsson ISBN 1-55860-467-7 General introduction to AI
Artificial Intelligence: A Modern Approach Stuart Russell and Peter Norvig ISBN 0-13-080302-2 General introduction to AI

Detailed Syllabus and Relevant Links

It is planned to make the handouts for the lectures and the worksheets available on-line after they have been handed out in the lectures. For more information on previewing and printing see here. Please DO NOT PRINT THEM OUT. First check for spare and reference copies which can be found in the School's library. DO NOT WASTE PRINTER RESOURCES. If you want to print after all, you may consider to print several pages on one sheet by using psnup (e.g., with psnup -4 -b0cm -s0.44 -m1cm -r -c l7.ps | lpr -Pmyprinter -). The ascii files contain (unlike to the text only files) ascii visualisations of the jpg pictures used in the html, pdf and PostScript files; they are generated with the help of Jonathan Mathews' ascgen program.

Week Lectures Worksheets Further Info
1 What is AI?
html, text only, ascii, gzipped PostScript, pdf.
html, txt, gzipped PostScript, pdf A link to Marvin Minsky's BBC interview (mp3 file, ~8.5 MB) can be found here as http://web.media.mit.edu/~minsky/BBC3.mp3.
2 Expert Systems
html, text only, ascii, gzipped PostScript, pdf.
html, txt, gzipped PostScript, pdf Installation instructions for Worksheet 2 are at INSTALL-expert-system.
3 Decision Tree Learning
html, text only, ascii, gzipped PostScript, pdf.
html, txt, gzipped PostScript, pdf Installation instructions for Worksheet 3 are at
INSTALL-decision-tree.
4 Neural Nets, Naive Bayes
html, text only, ascii, gzipped PostScript, pdf.
html, txt, gzipped PostScript, pdf Installation instructions for Worksheet 4 are at
INSTALL-naive-bayes.
5 Genetic Algorithms
html, text only, ascii, gzipped PostScript, pdf.
html, txt, gzipped PostScript, pdf Installation instructions for Worksheet 5 are at
INSTALL-genetic-algorithm.
6 Knowledge Representation I (Data vs knowledge, Frames, Semantic Nets, Inheritance)
html, text only, ascii, gzipped PostScript, pdf.
Assignment available as
html, txt, gzipped PostScript, pdf

Deadline Friday, 10 December 2004, 6pm (extended from Thursday, 9 December 2004, 12:00 noon)
 
7 Knowledge Representation II (NL, Translation to Logic, Defaults, non-monotonic reasoning)
html, text only, ascii, gzipped PostScript, pdf.
html, txt, gzipped PostScript, pdf Some information on how to use the shell can be found here. (sxi format)
8 Search (uninformed, informed, A-star)
html, text only, ascii, gzipped PostScript, pdf.
html, txt, gzipped PostScript, pdf  
9 Planning (Strips, GraphPlan)
html, text only, ascii, gzipped PostScript, pdf.
html, txt, gzipped PostScript, pdf  
10 Agents - Reactive vs Deliberative
html, text only, ascii, gzipped PostScript, pdf.
html, txt, gzipped PostScript, pdf  
11 Philosophical Issues
html, text only, ascii, gzipped PostScript, pdf.
html, txt, gzipped PostScript, pdf  
12 Revision
html, txt, gzipped PostScript, pdf  

Worksheet 12 should give an idea of the examination paper and the resit paper (Note that past exam papers are not related to the current one.). The exam will consist of FIVE Questions of which you have to choose FOUR. Each question is in style similar to the questions in Worksheet 12. That is,

Errata to the lectures and exercise sheets can be found from html, txt, gzipped PostScript, pdf

For instructions on how to install the Intro to AI code on your home computers, look at INSTALL-at-home.txt.

Please register as a group here.

Information about the assessment

The module is to 30% continuously assessed. Assignment available as
html, txt, gzipped PostScript, pdf

Deadline Friday, 10 December 2004, 6pm (extended from Thursday, 9 December 2004, 12:00 noon). A test harness is available. Installation instructions are as for all previous source code releases and can be found as assignment.tar.gz in /bham/common/courses/ai-intro/source. We strongly suggest you read the code in spam-filter.scm.

Information on the continuous assessment is available locally from here.

70% of the assessment is by examination in spring 2005. The combined provisional marks for continuous assessment and exam are available locally here.

Some hints about learning


Maintained by: Manfred Kerber, School of Computer Science, The University of Birmingham
Last update: 6.6.2005.
The URL of this page is   http://www.cs.bham.ac.uk/~mmk/Teaching/AI/index.html.