CPS 721: An Introduction
to Artificial Intelligence
Course Management Form
Mikhail Soutchanski. Phone: (416) 979 5000 ext 7954 (leave voicemail)
mes (at) cs (dot) ryerson (dot) ca
(write cps721 in "Subject", use your Ryerson email )
||Computing and Engineering Bldg, 245 Church Street,
||Tuesday 15:10 -- 16:00 Wednesday 3:10 -- 4pm
- Maria Poveda
mpoveda (at) ryerson.ca
(she marks the 1st assignment)
- Malcolm Gomes
malcolm.gomes (at) ryerson.ca
(he marks the 2nd and 3rd assignments)
- Jared Rand
jrand (at) ryerson.ca
(he marks the 4th assignment)
- Ryan Young
ryan.young (at) ryerson.ca
(he marks the 5th assignment)
Summary of Content:
There are cognitive tasks that people can do relatively easy,
but that can be difficult to program on a computer.
There are other cognitive tasks that can be difficult for people,
but that can be easily implemented on a computer.
Artificial Intelligence (AI) is the science of discovering the principles
how both easy and difficult tasks can be approached, and subsequently
developing computer systems that can carry out these tasks.
Educational Objectives: enable students
to learn some of the fundamental topics that underly several areas of
modern AI and to get programming skills of developing AI applications.
Basic logic and resolution-style reasoning are briefly introduced and
applied to solving problems such as combinatorial puzzles (e.g., scheduling).
Other basic notions from discrete structures are briefly reinforced
as well, such as basic modular arithmetic, functions and relations,
set cardinality and counting. The course introduces basic deductive
databases, and declarative conjunctive queries for information retrieval.
In addition, part of the course introduces
and reinforces techniques of developing recursive programs over general
recursive data structures (e.g., such as lists, trees, but other recursive
discrete structures are discussed as well). Several types of search
techniques are introduced (and/or reinforced) including brute-force search,
recursive backtracking, heuristics, depth- and breadth-first traversals.
The course introduces PROLOG, the programming language
based on logic programming. The students get a working knowledge of
writing basic PROLOG programs. The course introduces syntax and semantics
of natural languages (such as English), syntactic analysis, parsing,
and context-free grammars. The final part of the course reinforces
conditional probability, Bayes Theorem, independence and introduces
reasoning in Bayesian Networks.
This course provides introduction to several important AI problems and
techniques, including knowledge representation and reasoning,
constraints satisfaction, search, natural language understanding,
planning, uncertainty, belief networks, learning.
Lectures: 3 hrs. Tutorials/Labs (including quizzes): 1 hr.
Prerequisites: (CPS 305, MTH210, MTH 304 or CPS 305 and CPS 420).
Compulsory Text Book:
Thinking as Computation: A First Course, written by
Published by the MIT Press, paperback, 328 pp, August 2017,
online content). This textbook is available from the Ryerson
Recommended Reference Books:
Computational Intelligence: A Logical Approach
by David Poole, Alan Mackworth and Randy Goebel,
ISBN-13: 9780195102703, Publisher:
Oxford University Press, 576 pages, 1998.
Stuart Russell and Peter Norvig
Artificial Intelligence: A Modern Approach,
3rd edition, Copyright 2010, Publisher:
Prentice Hall, ISBN-13: 9780136042594, 1152 pages.
Common Sense, the Turing Test, and the Quest for Real AI by Hector Levesque.
Published by the MIT Press, paperback, $17(US), 192pp, March 2018, ISBN: 9780262535205.
Topics (tentative sequence):
This course will provide undergraduate-level introduction to several important
AI problems and techniques,
including deductive reasoning,
writing recurive programs over recursive data structures,
finding solutions that satisfy a given set of constraints
(e.g., computing a schedule or solving a puzzle),
understanding natural language (e.g., parsing noun phrases),
problem solving and planning,
pruning of search space,
Each topic takes about 2 weeks.
A moderate amount of Prolog programming will be required
as part of the course.
Policy on collaboration in homework assignments and in labs
The students are strongly encouraged to take notes in class,
and study their notes after class. Learning can be a gradual process
that requires time and efforts. The students benefit from attending lectures
and labs since some important details will be discussed only there.
For this reason, attending lectures and tutorials/labs is mandatory.
All course materials posted on D2L are copyrighted and protected by law.
You cannot share them with anyone.
You cannot repost them anywhere on the Web.
Please review the
Ryerson University policy
Moreover, you cannot post any of your solutions to the labs or to assignments, since doing this would violate the cps721 policy on collaboration, and the Ryerson University Academic Policy 60.
You can read
parts of this policy online related to "Academic misconduct".
Electronic devices: turn off your mobile phones and all other electronic
devices in class. You can keep your laptop or tablet open only if you use
it to take notes in class.
The quizzes, a midterm exam, and the
final exam may include problem solving, short essay questions
as well as writing Prolog code.
The duration of these examinations will be 15-45 min, 1h40min,
and 2h30min, respectively. Quizzes can be given at any time
without prior warning.
The final exam will be cumulative and will include all
the material covered throughout the term.
There will be no supplemental examination.
Grades are earned for the demonstration of knowledge.
If you miss a midterm test, or a final exam for medical reasons, you have to
submit an academic consideration request through the
Online Submission Form and
hand in a hard copy of a completed
Health Certificate to the department of Computer Science within 3 working days.
You have to bring your documents yourself to the CS front reception desk.
Once the Program Department has verified the student’s health documentation,
the instructor will be notified of the verification.
Similarly, all documentation related to special accomodation or
academic consideration should be submitted to the CS program office within
the specified time limits.
Dates are subject to change, all changes will be announced in class and on
the course Web pages.
Assignments should be submitted on or
before the deadline specified in the assignment
(you are encouraged to submit assignments earlier).
Your assignment is considered late if any part of the assignment is late
(even if it is just 1 minute late).
The penalty for a late assignment is 10% off. No assignments
will be accepted if more than 24 hours late. Start solving your assignment
on the same day when it is posted. Do not procrastinate.
No make-up assignments.
Late assignments: if a hard copy is required, then to hand in the printout
you can give it in person to a
secretary at the CS reception desk and ask her to put a stamp on your assignment
to confirm that you handed in your assignment in time. Send email to the TA
who is responsible for marking this assignment: inform that a hard copy of
your assignments is available from the front desk.
All assignments have to be submitted electronically on D2L into the specified folder.
From time to time, I will hand out exercises.
The students are expected to solve the exercises, but
they will not be graded. However, working on exercises
will improve your understanding of this course
(and will help you to get better marks on tests).
Up to 5% (or less) extra credit may be assigned for active class
participation throughout the term, e.g.,
a student attends most of the classes, participates actively by
asking/answering questions, solves exercises in class.
Class participation marks are earned for active course participation and
given at discretion of the course instructor; they cannot be requested
by the students.
Tutorials/Labs are mandatory. Each student must attend only the section
where s/he is assigned. No transfers between sections are possible.
Usually, each tutorial includes a mini-lecture and a quiz. Solve quizzes
in a small group: 2 or 3 students at most. Larger groups are not allowed.
Each student must write by his/her hand the first name, the last name
and the student number on the top of the page with a solution to the quiz.
Lab Marks: are given for solving correctly lab exercises, as specified by T.A.
The lab mark will be given only if
- the student attends the entire lab in the section where s/he is enrolled,
- the T.A. observed the student actively participating in discussion,
solving questions in the quiz with partners, and
- the student signed up the page with a quiz solution,
provided family name and a student number.
- The lab mark will be given primarily for solution correctness.
- Late labs will not be accepted.
- There will be no make-up labs. The student who missed a lab
should try to solve independently the exercises given during
the lab time and verify the solutions with the T.A., or with lab partners.
- Lab groups can be different from assignment groups
(see the policy on collaboration below).
Handouts and assignments will be made available on the Web only.
More specifically, they will be linked from the cps721 online course
shell on my.ryerson.ca Also, you are responsible for visiting
the Homework Assignments Web pages regularly and reading all information that is
provided or linked from these Web pages. In particular, Frequently
Answered Questions (FAQs) related to cps721 home work will be linked
from this Web page. These FAQs are considered to be an integral part of
the assignment. Before sending your questions by e-mail to the instructor,
check these Web pages whether similar questions have been already answered.
- Email communication: you can send email from local Ryerson's
email addresses only: you can use either your departmental account
(preferred) or your university account to send email.
Email sent from Yahoo, Hotmail
and other external domains can be filtered out as spam and might not
reach me. Email messages will be normally answered within 24 hours;
however, messages sent on weekend (starting from Friday evening) will be
usually answered on Monday.
Grades for tests and assignments will be
posted on my.ryerson.ca Web site
no later than two weeks after the due date (test date).
Marking guides, the assignments and
some other course related documents will be posted on
my.ryerson.ca only. Graded work
will be usually returned to students within two weeks. The students can email
the TA who was marking the assignment (see the top of this page) if they
have questions about marking, or attend the office hour.
If an electronic copy
of the assignment was marked by a TA using a script, and it was additionally
required to hand in a hard copy, then in this case hard copies will not
be normally returned.
Marked quizzes will be returned at the next tutorial. Missing marks for
quizzes cannot be requested since only those students who attended a lab
are eligible to get a mark for a quiz.
Limited collaboration in discussing general approaches to problems
is allowed with students in your team. No collaboration is allowed
between teams. You may discuss assignments only with other people
currently taking the course.
However, you should never put your name on anything
you do not understand.
you must be able to reproduce and explain all solutions by yourself,
or solve similar exercises. If you cannot explain a solution that
you handed in, or if you cannot solve an exercise similar to questions
in your home work or in your quiz, this will negatively affect your grade. In
particular, you might be asked to solve exercises during the office
hours, during one of the labs, or in class (as a quiz). These unscheduled
tests or evaluations can be given at any time without prior notice.
Remember that if you work with partners,
you are still expected to know solutions of all exercises from the home
work. Grades are earned for the demonstration of knowledge.
In cases when a student fails to demonstrate knowledge about a
home work, the grade for the home work can be decreased to 0.
The first page of your homework should include: the name of all
students with whom you discussed any homework problems (even briefly).
Otherwise, it is assumed that you didn't discuss with anyone except the
instructor. Copied work (both original and copies) will be graded as 0.
Involvement with plagiarism will be penalized in accordance with Academic
Policy 60. Additional penalty for copied work may be assigned as deterrence
against plagiarism. More specifically, additional penalty for a copied
assignment (in part or in whole) can be up to -4% of the final course grade.
Additional penalty for a copied solution to a quiz (in part or in whole)
can be up to -1% of the final course score.
In order to create an environment conducive to learning and respectful of
others rights, phones and pagers must be silenced during lectures, labs and
evaluations. Students should refrain from disrupting the lectures and labs
by arriving late and/or leaving the classroom before the lecture is finished.
Committing academic misconduct, such as plagiarism and cheating,
will trigger academic penalties including failing grades,
suspension and possibly expulsion from the University.
As a Ryerson student, you are responsible for familiarizing yourself
Student Code of Academic Conduct.
Policy on Non-Academic Conduct
No disruption of instructional activities is allowed.
In particular, taking video/photos in class is strictly prohibited
since this violates the copyright and privacy policies.
Among many other infractions,
the Code specifically refers to
the following as a violation: ``Disruption of Learning and Teaching -
Students shall not behave in disruptive ways that obstruct
the learning and teaching environment." In particular, the students
can use the laptops (and similar electronic devices) in class
only for taking notes. In difficult cases, penalties can be imposed
by the Student Conduct Officer.
Remarking / Recalculation Policy
Grades are earned for the demonstration of knowledge.
Read carefully the marking guide for the assignment or test you'd like
to be remarked. Your grade may go up, down, or remain the same.
Fill in this
remarking form (available online). Attach this form to the hard copy
of your assignment, if you handed in a hard copy. Otherwise, if a hard copy
was not required, fill in the form and email it to the TA
who marked your assignment. Same rules apply if you request recalculation
to correct an arithmetical error in calculating your total score.
Forward/Email your remarking request form to the TA/GA who marked your assignment.
If you handed in a printout for marking, then you can hand in your remarking request
and the marked hard copy of your assignment to the TA at the Lab time or leave it
in the front CS office. Normally, the marking guide posted on my.ryerson.ca
includes the name of the TA/GA who was responsible for marking the assignment
(see also the top of this page). It is your responsibility to forward your
remarking request to the right contact person.
Remarking request can be only submitted within 10 days of the date
when the assignment/test marks were posted.
It is your responsibility to check your CPS721 marks
as soon as possible. Late regrading and recalculation requests will not
be accepted. Also, if a student failed to attend a lab and sign up a quiz,
the missing marks for quizzes cannot be requested. There are no
make-up quizzes in cps721.
Mark can decrease if TA finds something that was incorrectly
awarded too high a mark.
Tentative Course Calendar
(all changes of dates will be announced)
||Grade Value (%)
September 26, Thursday
October 10, Thursday
October 24, Thursday
Saturday, October 26, 11am-1pm;
by the 1st letter in the family name:
A-F in KHE121, G-M in KHE125, N-Z in KHE129
November 11, Monday
November 25, Monday
As per timetable above, from Mon, Sept 9
The total mark is the sum of marks for assignments, quizzes, midterm and
the final exam.