CPSC 433: Artifical Intelligence Fall 2014 |
CLASS:
ANNOUNCEMENTS:
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Instructor:
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Rob Kremer, ICT 748, email: kremer@cpsc.ucalgary.ca; | |||||||||||||||
Lectures:
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Tues/Thurs 12:30-13:45 in MS217 | |||||||||||||||
Office hours:
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Tues 14:00-14:50, Thurs 10:00-10:50, and by appointment. | |||||||||||||||
Course web site:
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http://kremer.cpsc.ucalgary.ca/courses/cpsc433/F2014/index.html | |||||||||||||||
Official Course Info:
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http://www.cpsc.ucalgary.ca/custom/undergrad/outlines2014/f14/cpsc433_fall2014.pdf | |||||||||||||||
Mail list server:
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Tutorials/Labs:
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An examination of the objectives, key techniques and achievements of work on Artificial Intelligence in Computer Science.
Computer Science 313 (Introduction to Computability) and one of CPSC 349 (Programming Paradigms) or CPSC 449.
Note that a basic understanding in logic is definitely required for this course (Philosophy 279 or 377 are prerequisites of CPSC 349 and 449, therefore they are not explicitly mentioned in the calendar)! Although we will introduce the basic concepts of how to process and solve problems described in logic in this course, knowing what logical formulas, propositions and calculi are and how a problem can be represented as a set of formulas is a must!
Academic misconduct (cheating, plagiarism, or any other form) is a very serious offence that will be dealt with rigorously in all cases. A single offence may lead to disciplinary probation or suspension or expulsion. The Faculty of Science follows a zero tolerance policy regarding dishonesty. Please read the sections under the heading "Student Misconduct" in the Academic Regulations section of the University Calendar.
These serious offences will carry sanctions. Copying of assignments from anywhere without appropriate references, cheating on exams, or misusing facilities will result in punishment ranging from course failure to criminal prosecution. If you are unsure about these issues do not hesitate to consult with the course instructor.
This course requires group work, which dictates that students must work together to solve assignments. Generally, individual contributions from people within the group do not need to be cited, but major contributions should be. Note that it is the responsibility of each member of the group to ensure that plagiarism (or other forms of cheating) does not occur in the work: the entire group will be assessed based on any incident of academic misconduct in group assignments.
Each member of a group is expected to do their fair share of the group work. A peer assessment mechanism will be used to monitor this. If group work is unequally distributed among group members, group members may achieve differing marks for the assessment. This may range from an A to a failing grade, with corresponding consequences for the overall course mark.
You might also be interested in looking at Prof. Denzinger's manuscript (containing the first two chapters of his upcoming book [translated from German]), which describes the search models according to the same onology as used in class. Note that this manuscript can only be accessed from a UofC address.
The University policy on grading and related matters is described in the
university calendar.
The course will have a Registrar's scheduled final examination and a
midterm exam.
In order to pass the course, the following components must be passed:
In addition, the student must achieve at least a C on the midterm in order to pass the course; however, up to 2 retakes may be allowed on the midterm in order to fulfill this requirement but an F in any midterm will disqualify any further retake. Even though the peer evaluation component has only a nominal mark associated with it, you may fail the entire course for failing to complete these tasks adequately.
All components of this course are marked as letter grades (standard values except A+ = 4.3). The final letter grade will be the weighted average of the component letter grades according to the official university equivalents.
As already described, we follow the usual midterm-final-scheme for exams. The weighting of the grades you achieve in these two exams is as follows:
Midterm | 20% | |
Final exam | 30% |
The Midterm is treated specially. You MUST get a C or better in the Midterm in order to continue with the course (ie: pass). If you get an F, you're out, however if you get a C-, D+, or D, you may do up to two retakes to remedy the situation. However, if you get an F on the first retake you are are not entitled to a subsequent retake. A retake will not be awarded better than a C grade, no matter how well you did on it (ie: it's essentially pass/fail).
This midterm will be composed of 2 or 3 problems for which models, processes, and instances must be fully and formally specified. To help you get through the midterm (and possible final questions), a number of similar practice problems (some with solutions) is supplied. In addition, I have posed the marking rubric.
For a detailed description of what you have to do, please refer to the assignment page. The following table describes the percentage with which the individual task grades will be weighted in the final grade for the course.
Paper presenting two solutions to the given problem | 12% | |
Input and output demonstration | 6% | |
Implementation and demonstration of the selected solution | 30% |
So, the assignment component accounts for 48 percent of your mark. Please note that both grades above are achieved by your team!
The peer evaluations are relatively simple to do compared with the other course components. You must submit a report to your TA and instructor (by email) containing a letter grade assessment of each (including yourself) of your group members' contributions to the current assignment together with a 1/3 page description of that person's contribution justifying your assessment. It is not acceptable to give everyone in your group an A or to give everyone in your group an F. A report that does not reflect the dynamics of the group will be considered a failure, which could cause you to fail the course. It is your responsibility to get to know your group members and know their contributions to the project.
The weighting in the final grade for the course is
Peer evaluation 1 (to be handed in just after the paper assignment) | 1% | |
Peer evaluation 2 (to be handed in just after the implementation and demonstration assignment) | 1% |
So, the peer evaluation component accounts for only 2 percent of your mark, but you have to do both of them adequately in order to pass the course.
Why the peer evaluation? The peer
evaluation is set up to prevent freeriding (a group member doing
little or nothing and getting a good mark by taking advantage of the
efforts of the rest of the group). It will be used as follows: The
TA and instructor will use their own judgment and experience with
the group as well as the input from the peer evaluations to assess a
"delta mark", which will be applied to the group assignment. The
delta mark will be a positive or negative letter-grade value between
-4 and +1, which will be added to the group mark for each individual
member.
Therefore, if you are the group leader, make a huge contribution to the project, your group thinks you can walk on water, and your group project is assessed as a "B", you may be assessed a delta mark of +1 -- your mark for the project will be "A". On the other hand, if you could had done better on the project, your delta mark may be -0.7, and you'd get a group mark of "C+". Furthermore, if you really didn't help much at all on the project, you'd get a delta mark of -4, you'd get a "F" for the project and you'd automatically fail the entire course. Don't let that happen. :) |
Date
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Tuesday 12:30-13:45
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Thursday 12:30-13:45
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Sep09/11 | ||||||
Sep16/18 |
Search:
Or-tree-based search
Lab: Modeling |
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Sep23/25 | ||||||
Sep30/ Oct02 |
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Oct07/09 |
Knowledge
Representation (propositional logic)
Lab: Mock Exam 1, Mock Exam 2 |
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Oct14/16 |
Knowledge
Representation (first order logic)
no lab (Thanksgiving) |
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Oct21/23 |
Midterm (in class)
Lab: Expert Systems |
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Oct28/30 |
Exam results
Lab: Assignment Tips |
Review
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Nov04/06 | ||||||
Nov11/13 |
Reading
Days
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Nov18/20 | ||||||
Nov25/27 |
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Multi-agent Systems: Agent Communication [paper] | ||||
Dec02/04 |
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Assignment debriefing
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Final exam:
TBA
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Last updated 2014-08-29 |