CSC / Credit	Title	Days	Hours	Loc'n.	Instructor
242 (4 hr)	Artificial Intelligence	TR	2:00-3:15	CSB 601	Brown



• Professor: Chris Brown (email: brown-at-cs-dot-rochester.edu).

• Course TAs:
  Julia Ferraioli ( juliaf@cs.rochester.edu ).
  Frank Ferraro ( francis.ferraro@rochester.edu ).
  

• Office Hours:
  CB: by appointment
  Ferraioli: by appointment
  Ferraro: by appointment
  

• Blackboard: We'll be using Blackboard in this course probably just for project submission and grade postings.

• As always, I see this CS course as part of a Liberal Education .

• Texts: Artificial Intelligence: A Modern Approach, (If this link doesn't work, follow Prentice Hall links below through academic, computer science, and artificial intelligence. by Russell and Norvig published by Prentice Hall. These authors used to have helpful materials on their websites, and in their latest edition they recommend A Master Page for AIMA! that has some big aspirations but already lots of useful stuff.

• Syllabus: Lecture and Work Schedule

• Textbook Homework: Due in the prof's hands, or the turn-in box outside Marty's office (735, opposite elevators) by 5pm on the due date as shown in the classs schedule.
• Programming projects are due through the blackboard system, and the due date and time should be in the assignment description. If it's not, please tell the prof or a TA.
• If you want some constructive criticism, you can give the instructor a hardcopy version of the project and an email address. He will get back some preliminary comments within 24 hours. These comments should be helpful (this is a statement about intentions, not probabilities!), and you can pass them on to the TA ("Hey, the Prof said this was gonna be terrific!") but they do not bind the TA in any way.
• Grade Points:

  30% for Written Exercises. *
  35% for Team Programming Projects and Writeups. **
  You can substitute an (Individually researched and written) Paper for the Vision Programming Assignment.
  10% for SFSs***
  12.5% for midterm 1.
  12.5% for midterm 2.

  * For now, written assignments are due in the prof's hands, or the turn-in box outside Marty's office (735, opposite elevators) by 5pm on the due date as shown in the classs schedule. Written assignments turned in up to 24 hours (1 day) past the original deadline will suffer a 10% penalty on final points otherwise earned. Assignments turned in 24 to 48 will suffer a 20% penalty. ANYTHING MORE THAN 48 HOURS LATE WILL NOT BE GRADED. If you have a catastrophic emergency (i.e., hospitalizing accident), contact the TA. More details on stapling, etc. are in the WebCT posting in the homework topic, labeled HW1.

  ** Programming projects are submitted through Blackboard. They are due when indicated but may be handed in up to a maximum of two days late (with loss of points.)

  ***Success Facililitation Surveys are documents you produce in class to help the professor and TA Facilitate Your Success.

  **** You can bring two (double-sided) pages of hand-written notes into the midterms.
  

• Academic Dishonesty:
  

  As Yogi says: "If you can't imitate him, don't copy him!"

  This course follows The University Policy on Academic Honesty .

  Explicitly for this course: Thinking together about problems or programming projects and assignments is fine, and encouraged. Asking technical questions from your fellow students or anybody else, and getting specific answers, is fine, and you're crazy not to. Going out to the web for better explanations and examples than the text has is fine.

  BUT do NOT share your written answers or code, or what you plan to hand in. That is, don't volunteer it, don't ask for it, don't give it, don't receive it, don't show it, don't look at it, don't allow it to be copied, don't copy it. Also do not do the same thing indirectly by copying answers from the web, blogs, other textbooks, or any other non-human source. When you use any source, either human or non-human, in an answer, credit that source with a reference and say how you "added value" to the content you built on to produce your answer. Such sharing of WORK (not thoughts) we must consider Plagiarism and we must take the necessary steps as mandated by the University.

  Unless work is surreptitiously stolen, I both consider parties equally guilty; to dispute this, you can always go tell your story to the BAH.

• Reserve and Other Reading: There is some reserve reading , including the Textbook and Jame's Allen's book Natural Language Understanding . There are many texts and books on artificial intelligence in the library and for sale. Feel free to augment your text with other viewpoints, explanations, and examples from them.

Last update: 1.12.05.