Course Overview
The design of automated systems capable of accomplishing complicated
tasks is at the heart of computer science. Abstractly, automated
systems can be viewed as taking inputs and producing outputs towards
the realization of some objectives. In practice, the design of systems
that produce the best possible outputs can be quite challenging when
the choice of outputs is constrained, the consequences of the outputs
are uncertain and/or dependent on other systems, the information
provided by the inputs is incomplete and/or noisy, there are multiple
(possibly competing) objectives to satisfy, the system must adapt to
its environment over time, etc. This course provides an introduction
to Artificial Intelligence, covering some of the core topics that
underly automated reasoning. The modeling techniques that will be
covered are quite versatile and can be used to tackle a wide range of
problems in many fields including natural language processing (e.g.,
topic modeling, document clustering), robotics (e.g., mobile robot
navigation), automated diagnosis (e.g., medical diagnosis, fault
detection), data mining (e.g., fraud detection, information
retrieval), operations research (e.g., resource allocation,
maintenance scheduling), assistive technologies, etc.
Instructors
- Kate Larson (klarson @ uwaterloo.ca)
Office Hours: Mondays and Wednesdays 10:00-11:00 in DC 2518
Exam Period Office Hours: Mondays and Wednesdays 10:00-12:00 in DC2518
- Alan Tsang (akhtsang @ uwaterloo.ca)
Office Hours: Tuesdays 3:00pm-5:00pm in DC 2306B
Teaching Assistants
- Ben Armstrong (b8armstr@uwaterloo.ca)
- Milad Khaki (mkhaki@uwaterloo.ca)
- Jonathan Perrie (j2perrie@uwaterloo.ca)
- Mike Schaekermann (mschaeke@uwaterloo.ca)
- Zhucheng Tu (z3tu@uwaterloo.ca)
- Ankit Vadehra (avadehra@uwaterloo.ca)
- Jia Rong Wu (jr2wu@uwaterloo.ca)
Readings
The main text is
- Stuart Russell and Peter Norvig, Artificial Intelligence: A Modern Approach, Prentice Hall, Third Edition, 2010.
A second useful reference is
- David Poole and Alan Mackworth, Artificial Intelligence: Foundations of Computational Agents, Cambridge University Press, 2010, Available online
Communication
We will be using
the
Piazza
discussion board. Please sign up for Piazza and the
course
here.
Public Piazza posts are the prefererd method for
questions about course material. Students can then help each other out
and instructors can also read and reply so that everyone in class can
see the responses. Private Piazza posts (to instructors only) can be
used for any post that contains solution snippets or private
questions.
All lecture material is available on this site (under
Schedule) as well as on
Learn. Assignments will be posted on Learn.
If you email an instructor or a teaching assistant then you must you your uwaterloo.ca address.
Evaluation
For students registered in CS 486
- 5 Assignments: 40%
- Midterm: 15% (Wednesday, October 18, 2017 at 7:00-8:50 pm in M3 1006 and MC 4044)
- Final Exam: 45% (Monday, December 18, 2017 from 9:00am-11:30am in M3 1006)
- Project (Optional): Up to 5 bonus marks
For students registered in CS 686
- 5 Assignments: 30%
- Midterm: 10% (Wednesday, October 18, 2017 at 7:00-8:50pm in M3 1006 and MC 4044)
- Final: 40% (Monday, December 18, 2017 from 9:00am-11:30am)
- Project: 20%
Project
Please see the
project webpage for more
details on the project expectations and format. A project proposal
(worth zero marks) is due on November 1, 2017. The final project
report is due on the last day of classes (December 4, 2017). However,
final project reports will be accepted, with no penalty, up to and
including the date of the final exam.
Late Policy
Assignments are due when specified in the
course schedule. Students are allowed to submit assignments up to 48
hours after the deadline. However, no questions about the assignment
will be answered during this 48 hour grace period, and no assignment
will be accepted after the 48 hours.
Remarking
If you have an assignment that you would like to have remarked, please
follow the instructions on Piazza for that assignment to submit your
request. If you have an exam that you would like remarked, then please
provide the course instructor with a written request on paper and your
exam. Note that the entire exam will be remarked and it is possible
for the grade to go either up or down. The deadline for submitting a
remarking request for either the midterm exam or an assignment is one week
after the exams or assignments are first returned.
Academic Integrity
Academic Integrity: In order to maintain a culture of academic
integrity, members of the University of Waterloo community are
expected to promote honesty, trust, fairness, respect and
responsibility. All members of the UW community are expected to hold
to the highest standard of academic integrity in their studies,
teaching, and research. The Office of Academic Integrity's website (
www.uwaterloo.ca/academicintegrity)
contains detailed information on UW policy for students and
faculty. This site explains why academic integrity is important and
how students can avoid academic misconduct. It also identifies
resources available on campus for students and faculty to help achieve
academic integrity in and out of the classroom.
Grievance: A student who believes that a decision affecting
some aspect of his/her university life has been unfair or unreasonable
may have grounds for initiating a grievance. Read Policy 70 - Student
Petitions and Grievances, Section 4,
https://uwaterloo.ca/secretariat/policies-procedures-guidelines/policy-70
Discipline: A student is expected to know what constitutes
academic integrity, to avoid committing academic offences, and to take
responsibility for his/her actions. A student who is unsure whether an
action constitutes an offence, or who needs help in learning how to
avoid offences (e.g., plagiarism, cheating) or about rules for group
work/collaboration should seek guidance from the course professor,
academic advisor, or the Undergraduate Associate Dean. When misconduct
has been found to have occurred, disciplinary penalties will be
imposed under Policy 71 Student Discipline. For information on
categories of offenses and types of penalties, students should refer
to Policy 71 - Student Discipline,
https://uwaterloo.ca/secretariat/policies-procedures-guidelines/policy-71
Avoiding Academic Offences: Most students are unaware of the
line between acceptable and unacceptable academic behaviour,
especially when discussing assignments with classmates and using the
work of other students. For information on commonly misunderstood
academic offenses and how to avoid them, students should refer to the
Faculty of Mathematics Cheating and Student Academic Discipline
Policy,
http://www.math.uwaterloo.ca/navigation/Current/cheating_policy.shtml
Appeals: A student may appeal the finding and/or penalty in a decision
made under Policy 70 - Student Petitions and Grievances (other than
regarding a petition) or Policy 71 - Student Discipline if a ground
for an appeal can be established. Read Policy 72 - Student Appeals,
https://uwaterloo.ca/secretariat/policies-procedures-guidelines/policy-72
Note for students with disabilities
AccessAbility Services, located in Needles Hall, Room 1132,
collaborates with all academic departments to arrange appropriate
accommodations for students with disabilities without compromising the
academic integrity of the curriculum. If you require academic
accommodations to lessen the impact of your disability, please
register with AccessAbility at the beginning of each academic term.