SPECIAL SCHEDULING NOTE:
This class has students attending in two modes:
- Mixed Mode (80% On-Line + 20% Classroom)
- Distance Learning (100% On-Line)
The content, objectives, assignments, assessments, and grading are the same for
all students. Obviously, however, mixed mode and distance students
sometimes participate in different ways.
For all students: Regular participation via the
course interface is required. Official course announcements, lecture
materials, assignments, and help archives will all be on-line at this site. Note
that all registered students should have the course web site listed on their
portal page. Be sure to test this and resolve any difficulties no later
than the first week of classes.
For mixed-mode students: Class (recitation) will be met and attendance is
required. (See schedule details below.) All exams must be taken by appointment
with the Student Assesment Center on the Panama City campus.
For on-line students: All exams must be proctored and taken
during the exam window. It is the student's responsibility to arrange for
proctored exams in compliance with the FSU standards.
(See COURSE POLICIES for details.)
Note that students may be required to identify themselves with official FSU
ID to sit an exam.
CLASS SCHEDULE FOR MIXED-MODE STUDENTS:
|Recitation ||HOL B 302
||Jan 6 - Apr 21 (excluding Mar 10)
||Wed ||6:30pm - 8:00pm (Central Time)|
A2110 Academic Center / Panama City Campus
|Office Phone (during office hours): |
(these all ring the same instrument)
850-770-2256 (local direct line)|
850-644-2090x2256 (local Tallahassee)
866-693-7872x2256 (toll free)
|Mobile Phone & Voice Mail (24/7): ||850-510-5575 |
|Mail & Delivery:||
Florida State University|
4750 Collegiate Drive
Panama City, FL 32405-1099
Artificial Intelligence, or AI, is a very large subject with roots dating at
least 900 years before Aristotle. In modern times, it is perhaps the most widely
used and mis-used term in all of Computing, popular for solving difficult real
problems and equally popular as a support vehicle for science fiction.
This course introduces the student to the breadth of AI in a modern context
mediated by factual history.
The overall goals are for the student (1) to know what AI is, in
the context of historically significant theories, technologies, and applications of AI;
(2) to know what sorts of things AI is currently capable of doing;
(3) to be able to realistically assess what the near-future potential of AI is;
and (4) to have the knowledge and skills to become more expert in specific AI theory and technology.
At the end of the course, the succesful student should possess the following
knowledge and capabilities:
General knowledge of and the ability to discuss knowledgably, in both
written and oral communication, the general topic of artificial intelligence
(AI), especially its strengths and weaknesses as a component or technology used
in the broader context of computer software.
Working knowledge of predicate calculus, its syntax and semantics,
inference, and the unification algorithm.
Familiarity with the
structures, strategies, and algorithms for state-space search, including
data-driven, goal-directed, breadth-first, and depth-first state space search.
Understand and apply heuristic search, including the A* algorithm.
Be famiiarity with architectures for AI problem solving, including stacks, queues,
priority queues, and production systems.
Working knowledge of
AI programming languages, including Prolog and Lisp.
Knowledge representational mechanisms, including semantic networks and frames.
- Understanding of knowledge-intensive system architectures, including rule-based, case-based, and
- Understanding of issues underlying reasoning under uncertainty and knowledge
of various approaches for dealing with uncertainty, including logics for non-monotonic reasoning,
truth maintenance systems, and stochastic systems.
- Understanding of the architectures, algorithms, and capabilities of various
machine learning paradigms, including symbolic and connectionist methods.
The course COP 4530 is the explicitly stated
prerequisites for CAP 5605. By transitivity, CDA 3101 and MAD 2104 are also
prerequisites. It will be expected that students are familier with and
conversant in the content of these courses, or their equivalents.
Grades will be assigned based on one midterm and one final exam, textbook
homework exercises, programming assignments, and individual topical assignments
(presenting background on, and leading a Blackboard discussion of, an
individually assigned topic). Grading details are provided in the following
tables 2 and 3. The exam schedule is shown in Table 1.
| Table 1: Exam Schedule|
| Exam|| Date |
| Midterm Exam || Wed Mar 3 - Mon Mar 8|
| Final Exam || Wed Apr 28 - Mon May 3 |
| Table 2: Course Grade |
| Item || Percentage|
| Midterm Exam || 30%|
| Final Exam || 40%|
| Homework and Participation || 10%|
| Project and Presentation || 20%||
| Table 3: Letter Grades |
| Points [percent x 10] || Grade |
| 925 - 1000 || A |
| 900 - 924 || A- |
| 875 - 899 || B+ |
| 825 - 874 || B |
| 800 - 824 || B- |
| 775 - 799 || C+ |
| 725 - 774 || C |
| 700 - 724 || C- |
| 675 - 699 || D+ |
| 625 - 674 || D |
| 600 - 624 || D- |
| 0 - 599 || F |
Note that grades below B- will not satisfy requirements for a graduate degree.
- Blackboard system: http://campus.fsu.edu
Artificial Intelligence (Sixth Edition) by George F Luger, Addison
Wesley, 2009, ISBN = 9780321545893
Late Assignment Policy:
The assignments, when turned in before or at the due date
before midnight, will be graded. When turned in late, 5% will be deducted
from the homework grade
per day until the homework has been received,
with a maximum extension of five days.
First Day Attendance Policy: Official university policy is
that any student not attending the first class meeting will be automatically
dropped from the class. For distance students, this policy is interpreted as
posting to the discussion forum "First Day Attendance" no later than the first
day of the semester.
Regular Attendance Policy: The university requires
attendance in all classes. Attendance in distance classes shall mean regular
access to the course web site via campus.fsu.edu and regular
participation in the class discussion forums. Here, "regular" shall mean a
substantial amount of time on a weekly basis. Note that individual access
statistics are maintained by Blackboard.
Proctored Exam Policy: All exams must be proctored and taken at
an approved testing site during the exam window or in class on the designated
date. It is the student's responsibility to arrange for proctored exams in
compliance with the FSU standards. Go to
http://online.fsu.edu/learningresources/proctoredexam/ for details.
Exam Makeup Policy:
An exam missed without an acceptable excuse will be recorded as a grade of zero
(0). The following are the only acceptable excuses:
- If submitted prior to the day of the scheduled exam:
- A written and signed explanation as to why the exam will missed. Illness or required
professional travel are acceptable, while discretionary or personal travel
are not. In any case the explanation should be accompanied by corroborating
documentation, including names and contact information, and the explanation must
be accepted by the instructor prior to missing the exam.
- Evidence from a university official that you will miss the exam due to
university sanctioned travel or extracurricular activity.
- If submitted on or after the day of the scheduled exam:
- A note from a physician, university dean, spouse, parent, or yourself indicating an illness
or other extraordinary circumstance that prevented you from taking the exam and
could not be planned for in advance. Again, corroborating information should be
All excuses must be submitted in writing, must be signed by the excusing
authority, and must include complete contact information for the authority,
including telephone numbers and address.
Missed exams with acceptable excuse will be made up or assigned the average
grade of all other exams, at the option of the course instructor.
Missed, and acceptably excused, final exams will result in the course grade of
'I' and must be made up in the first two weeks of the following semester.
Grade of 'I' Policy:
The grade of 'I' will be assigned only under the following exceptional circumstances:
- The final exam is missed with an accepted excuse for the absence. In this
case, the final exam must be made up during the first two weeks of the following
- Due to an extended illness or other extraordinary
circumstance, with appropriate documentation, the student is unable to
participate in class for an extended period. In this case, arrangements must be
made to make up the missed portion of the course prior to the end of the next semester.
ACADEMIC HONOR CODE:
are expected to uphold the Academic Honor Code published in The Florida State
University Bulletin and the Student Handbook. The Academic Honor System of The
Florida State University is based on the premise that each student has the
responsibility (1) to uphold the highest standards of academic integrity in the
student's own work, (2) to refuse to tolerate violations of academic integrity
in the university community, and (3) to foster a high sense of integrity and
social responsibility on the part of the university community.
Complete explanation of the Academic Honor Code:
The complete Student Handbook:
In particular, note that students may not give or receive help of any kind on
programming projects. This means, among other things, that students are not
permitted to read each others code (on paper OR on screen) or discuss design or
implementation of programming projects with anyone other than the instructional
personnel. Violations of this policy will result in the grade of zero for all
AMERICANS WITH DISABILITIES ACT:
with disabilities needing academic accommodation should: (1) register with and
provide documentation to the Student
Center; (2) bring a letter to the
instructor indicating the need for accommodation and what type. This should be
done during the first week of class.
For more information
about services available to FSU students with disabilities, contact the
Disability Resource Center
Dean of Students Department
08 Kellum Hall
Florida State University
Tallahassee, FL 32306-4400
(850) 644-9566 (voice)
(850) 644-8504 (TDD)
(This syllabus and other class materials are available in
alternative format upon request.)
EMERGENCY MANAGEMENT INFORMATION:
Information regarding the status of FSU in an emergency situation may be
obtained from the following sources:
- For information specific to the Panama City Campus go to the FSUPC web page at http://www.pc.fsu.edu/ or call the Campus
Hotline number 850-522-5555
- For information related to FSU in general and the Tallahassee Campus go to
the FSU alerts web page at http://www.fsu.edu/~alerts/
- For state-wide and national information, go to the Florida Division of
Emergency Management information pages at http://www.floridadisaster.org/
Any specific information related to this class will be posted on the course web site
or sent via email to your fsu email address.
SYLLABUS CHANGE POLICY:
This syllabus is a guide for the course and is subject to change
with advanced notice. Such notice will be in the form of an
announcement to the course web site on