CS440/ECE448 Artificial Intelligence, Spring 2023
================================================================

This course provides an introductory survey of concepts and techniques in artificial intelligence.  Intelligence is the ability to decide, learn, plan, understand, communicate, perceive, and act; AI is the creation of machines that do these things.  This course gives a one- or two-week introduction to each of the seven aspects of intelligence, with pointers to key mathematical concepts, articles and books.

This course assumes that you have taken data structures (CS225) and random variables (e.g., CS 360, ECE 313).
	  
.. toctree::
   :maxdepth: 1
   :caption: Contents:
	     
   grades
   quizzes
   exams
   project
   officehours
   links

On-line Tools
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* `CampusWire <https://campuswire.com/c/G2DB4EC0D/feed>`_ will be used
  for on-line question answering.  The enrollment code is available in the
  slides for lecture 1.
  
* `PrairieLearn <https://us.prairielearn.com/pl/course_instance/129874>`_
  will be used for all quizzes, and some machine problems.
  
* `Gradescope <https://www.gradescope.com/courses/486387>`_ will be
  used to submit some machine problems, and to grade exams.  The code to join
  Gradescope is on CampusWire.

* You can watch the lectures remotely on `Mediaspace
  <https://mediaspace.illinois.edu/channel/CS%2B440_%2BECE%2B448%2B2023%2BSpring/282520712>`_.
  Videos are usually available two hours after the end of lecture.

Textbook
----------

The textbook is Russell and Norvig, `Artificial Intelligence: A Modern
Approach <http://aima.cs.berkeley.edu/>`_, fourth edition.

You will also need a reference for Python, which we will use to write the MPs.
A good place to start is the
the `Python Tutorial <https://docs.python.org/3/tutorial/>`_.