ISM 5219
"Intelligent Systems" Dr. Leigh
SYLLABUS (5/16/2005)
Summer 2005
Prerequisites: admission
to graduate study.
Objective: Class members will study theory and acquire hands-on skills in the analysis, design, and implementation of rudimentary data mining and knowledge discovery systems.
Instructor: Dr.
William Leigh, Professor of Management Information Systems, (407) 823-2923,
(office hours: MTW
Texts:
(1) James R. Evans and David L. Olson, STATISTICS,
DATA ANALYSIS, AND DECISION MODELING, Prentice Hall, isbn
0-13-020545-1.
(2) Daniel T. LaRose, DISCOVERING KNOWLEDGE IN DATA –
AN INTRODUCTION TO DATA MINING, Wiley, isbn
0-471-66657-2. Second Edition
Reading Schedule:
Please
read -- from Evans: Chapters 1,2 5/19
3,4 5/24
5,6 6/7
8 6/14
from LaRose: Pages
1-89 6/21
90-146 6/28
147-215 7/5
Grading:
Tests
(400 points, 4 @ 100 points each): One-hour, timed, cumulative, in-class, closed-book,
individual, but for each test you may use up to 10 3x5 index cards with
whatever written on them front and back you want. No make-ups will be given.
Tests will be given during the last class meeting of each of the last five
weeks of the class term. The last test will be the “final exam”. You must be
present to take each test. Five tests will be administered, one each week. The
four best test grades will be included in the final grade computation, that is,
the lowest test grade will be dropped. If you are not present for a test, then
your grade for that test will be a zero. (Yes, you may skip the final test if
you are satisfied with the final grade you will receive with a zero grade on
the final test.) Include a stamped self-addressed envelope with your final exam
submission if you would like it returned to you.
Projects
(600 points, 1 @ 600 points): Project
assignment information is included further down in this syllabus. Keep in mind
that project submissions will be penalized heavily for being incomplete at the
end of the term.
1) The instructor reserves the right to change or correct anything on this syllabus at any time.
2) If a class member misses a class, it is her/his responsibility to get copies of any material handed out in that class from other students.
3) Please, ask any questions concerning assignments during class, as everyone is most likely uncertain about the same points.
4) Handouts and sample exams may be found at http://www.bus.ucf.edu/leigh/ISM4113 .
5) If you want a copy of your graded final exam, attach a stamped, self-addressed envelope to the final exam paper when you submit it.
6)
An updated grades spreadsheet file will be posted about
weekly; please verify that your grades are recorded correctly and send an
e-mail reporting any errors within one week of appearance of the grade. One week
after grade posting or
Project General
Requirements:
All work is to be individual. You may consult other individuals
concerning general technical or code issues but you may not share your specific
project design or code or receive help on the development of your specific
project design or code.
E-mail as an attachment the Excel workbook or
workbooks and Word .DOC files containing the current state of the development
of your solution to your project problem by
The first worksheet in the project workbook or
first section in the .DOC file should contain the project problem statement Devise your own project problem statement and
let it be the contents of your first project submission. The problem is to be
such that it is solved with a data mining system constructed with Excel and/or
the some of the other tools we will become acquainted with in the class. The
solution is tobe the
original development work of the class member.
You will be required to demonstrate the state
of your project, possibly to include execution, to the class at least once. The
demonstration assignment may include leading a walkthrough of documentation or
execution of your system, and/or may include the presentation of some outside
research.
Note
very well that your choice of solution scope will be of critical importance.
The course is about analysis and design, so, when the choice is made, use the
project to demonstrate your analysis and design skills rather than your coding
skills. Keep in mind that project submissions will be penalized heavily for
being incomplete at the end of the term. We do not have time to do a lot of
“bells and whistles.” If you are in
doubt as to whether some function is necessary for a project submission to be
considered “complete”, consult with the instructor.