Artificial Intelligence Syllabus - Spring 2006, Exams of Computer Science

The syllabus for a university course on artificial intelligence (cs 660-760) offered in spring 2006. Information about the professor, office hours, required textbook, topics to be covered, examinations, homework assignments, projects, writing requirements, and various important notes. Students are expected to have prerequisite knowledge in logic and probability, and are encouraged to read additional books for further understanding.

Typology: Exams

Pre 2010

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Syllabus AI Spring 2006 1
Artificial Intelligence Syllabus Spring, 2006
COURSE NO./NAME: CS 660-760 Artificial Intelligence
PROF IN CHARGE: K. D. Reilly - 139 or 141 Campbell Hall - 934-2213
OFFICE HOURS: After class; Thurs AM, after 9:30; By appointment. NOT b4 CLASS
UNLESS URGENT!
URLs of RELEVANCE: See the textbook for lotsa juicy stuff. It is “unreal.”
PREREQS: Grad. status or permission of instructor. Helpful: “Exposure” to Science’s two
Great Epistemologies, logic & probability (CS250/350) & programming of SYSTEMS
TEXTBOOK:In LaTex markup (from which YOU draw a lesson: We accept only FORMAL REFERENCES in this class!):
@BOOK{RN02,
AUTHOR= {Russell, S. J. and Norvig, P.},
TITLE= {Artificial Intelligence: A Modern Approach, 2nd Ed.},
PUBLISHER= {Prentice Hall},
ADDRESS= {Englewood Cliffs, NJ},
YEAR= {2002}}
Buy it. You will be able to use it during exams for some questions. No PHOTO copies and NO BOOK
SHARING are allowed; KDR may supply (up to two) ‘loaners.’ You bring a ”Crib Sheet” to exams
a two-sided (8 1/2 x 11) sheet, crammed to the max.
A couple of books I like. Provide an “index” into and alternative statement on the subject! (1) A. Cawsey, Essentials of AI,
Prentice-Hall, 1998; and (2) M. Negnevitsky, AI: A Guide to Intelligent Systems, 2nd Ed., Addison-Wesley, 2004. You will
get a zerox copy of material I use from these bo oks (around about one chapter per book, in past courses).
TOPICS TO BE COVERED: We’ll emphasize at least: (1) the agent basis for AI (& DAI)
ala the book with supplements, (2) Logic, integrated about clause form semantic nets, NLP,
search, etc.; (3) Numerical AI, eg., NNs, HMMs, Fuzzy Logic, and others based on “interest.”
EXAMINATIONS
One-hundred points (100) points
Crib sheet with possible Open book options: repeat: NO XEROX copies! Every
Wednesday you are subject to being offerred a short exam. “Full sit down” exams are set for
four dates, the first Wed of each month starting Feb. We most likely will run fewer than four
of these exams, but you may get “shorties” in their stead. Some tests may be “oral,” related to
project work. The final exam session will probably be almost exclusively oral.
Exam 1: Feb 1 Exam 2: March 1;
Exam 3: Apr 5 Final: May 3.
There will be NO make-ups for a short test: you just lose out. Normally you can afford to miss one or
two of the short exams since we provide a “cushion” for miss’g an exam (see below).
Also we may eliminate make-ups even for the larger tests. If you miss a big exam, better not miss
ANY short ones! Make-ups, in any case, will be MORE DIFFICULT; perhaps oral. Don’t push it,”
Wilson said to Shane. Ie., follow the rules, take tests when offered: you’ll have no trublems or probles.
HOMEWORKs and PROJECTS
One-hundred (100) points.
PreAmble: Everything done in this class is accompanied by a write-up. Everything, even
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Syllabus — AI Spring 2006 1

Artificial Intelligence Syllabus – Spring, 2006

COURSE NO./NAME: CS 660-760 — Artificial Intelligence PROF IN CHARGE: K. D. Reilly - 139 or 141 Campbell Hall - 934- OFFICE HOURS: After class; Thurs AM, after 9:30; By appointment. NOT b4 CLASS UNLESS URGENT! URLs of RELEVANCE: See the textbook for lotsa juicy stuff. It is “unreal.”

PREREQS: Grad. status or permission of instructor. Helpful: “Exposure” to Science’s two Great Epistemologies, logic & probability (CS250/350) & programming of SYSTEMS

TEXTBOOK: In LaTex markup (from which YOU draw a lesson: We accept only FORMAL REFERENCES in this class!): @BOOK{RN02, AUTHOR= {Russell, S. J. and Norvig, P.}, TITLE= {Artificial Intelligence: A Modern Approach, 2nd Ed.}, PUBLISHER= {Prentice Hall}, ADDRESS= {Englewood Cliffs, NJ}, YEAR= { 2002 }}

Buy it. You will be able to use it during exams for some questions. No PHOTO copies and NO BOOK SHARING are allowed; KDR may supply (up to two) ‘loaners.’ You bring a ”Crib Sheet” to exams — a two-sided (8 1/2 x 11) sheet, crammed to the max.

A couple of books I like. Provide an “index” into and alternative statement on the subject! (1) A. Cawsey, Essentials of AI, Prentice-Hall, 1998; and (2) M. Negnevitsky, AI: A Guide to Intelligent Systems, 2nd Ed., Addison-Wesley, 2004. You will get a zerox copy of material I use from these books (around about one chapter per book, in past courses).

TOPICS TO BE COVERED: We’ll emphasize at least: (1) the agent basis for AI (& DAI)

  • ala the book with supplements, (2) Logic, integrated about clause form – semantic nets, NLP, search, etc.; (3) Numerical AI, eg., NNs, HMMs, Fuzzy Logic, and others based on “interest.”

EXAMINATIONS

One-hundred points (100) points Crib sheet with possible Open book options: repeat: NO XEROX copies! Every Wednesday you are subject to being offerred a short exam. “Full sit down” exams are set for four dates, the first Wed of each month starting Feb. We most likely will run fewer than four of these exams, but you may get “shorties” in their stead. Some tests may be “oral,” related to project work. The final exam session will probably be almost exclusively oral. Exam 1: Feb 1 Exam 2: March 1; Exam 3: Apr 5 Final: May 3. There will be NO make-ups for a short test: you just lose out. Normally you can afford to miss one or two of the short exams since we provide a “cushion” for miss’g an exam (see below).

Also we may eliminate make-ups even for the larger tests. If you miss a big exam, better not miss ANY short ones! Make-ups, in any case, will be MORE DIFFICULT; perhaps oral. “Don’t push it,” Wilson said to Shane. Ie., follow the rules, take tests when offered: you’ll have no trublems or probles.

HOMEWORKs and PROJECTS

One-hundred (100) points. PreAmble: Everything done in this class is accompanied by a write-up. Everything, even

Syllabus — AI Spring 2006 2

homework assignments! See below for do’g “easy WUs” via the “I-P-M-R-D—A” (IPMRD-A methodology! (The symbols, I ... A, are defined, below.)

Besides assigned tasks: a project of two parts/phases ((1) review & (2) “do”):

Phase I You start by choosing a chapter/sections in the textbook. You provide a review paper, by

MidTerm (one week grace period)! You’ll want to prioritize your points. Use: (1) many paragraphs. (2) “numbered” text; (3) “breakout:” sub-paragraphs, indented, bullet’d. Use DIAGRAMS fluminously! Some suggestions when/where: (1) top-level (system) descriptions; (2) key calculational/theoretical points (3) ANYWHERE. Readibility is imp: try “fat” captions: “A good paper can be read thru its figures.” THIMK: Tables as well as Graphs.

Phase II You will develop something that follows up on Phase I. Typically, this involves some

computing. Highest grades will go to those who develop their own stuff ... it be’g your responsibility to make it clear you are doing so. WRITING

You must write in this class. Our favorite thought: a 5 page write-up (WU) with “rich” appendix back-up “pointed to” by the main text. Try: write ‘loose’ and relaxed appendix material first, then the main paper parts! Each section starts a NEW PAGE:

Cover page: Name (big print), title, date. Notebooks or binding: Thimk ‘FLAT’ (bindings)! INTRO (I): Get general issues/matters out of the way!! Be very brief. You die if you exceed more than one page here & are short on PURPOSE (next). Use an appendix and ”lift.” PURPOSE (P): Point to Expected Results. Use NUMBERED text. (We suspect a P section will strongly affect your grade.) METHODS (M): Key ones, YOURS, assume class as audience — not me!. RESULTS (R): Keyed to PURPOSEs (by #) short comments on quality, how well you are meeting your purposes. DISCUSS’n (D): Adlib on RESULTS ... suggest future work, etc. References: (done in professional style) ABSOLUTELY MANDATORY!!!! APPENDICES: Very informal. EXCEPT what’s here MUST get ref’d in I P M R or D.

SOME HINTS ON PAPER PREP

First: A key first thought is that, as you work, you gather materials informally. Perhaps, you can use a diary, helping to capture highlights of your development. Include “mistakes” and “unusual” ways to do things after you’ve found better ways — these are good entries for “Methods Issues.” (The assumption is: “If you did it (good or bad), someone else might, too!”) Also, it might help you clarify Purposes as you proceed.

Second: Then you organize. The “I-P-M-R-D–A” method is best for “do” projects, but we have seen people use it in for reviews, tutorials, program units, etc. Try it.

Third: Finally, you ‘abstract’ your gatherings into a shorter, but complete paper, using, eg., the famous P-M- R-D–A formula ... A lot of your informal stuff can go into the A section.

OTHER THANGS and SOME REVIEWING

First, Don’t be late on assignments. You lose 25% a class meeting. Second, Make sure you know the make-up policy on exams? Review. Third, Cheating? Don’t try! We may discreetly lower your grade discretely, by a letter. Fourth, Interim project reports are graded as HomeWork; we reserve the right to use time alloted to Exams for oral reports. Fifth, In group projects you bear the responsibility of identifying the “you” in the effort! Sixth, There are incentives for demo’g group project leadership. Compare policy on presenting/writing. Seventh, Review incentives for helping create dialog, eg., reporting early.