Download CSC 550--Master Syllabus

SULLIVAN UNIVERSITY
Graduate School
Course Syllabus
CSC 550: Data Mining
Course Description: This course introduces the basic ideas and techniques of data mining. Data mining is an
emerging interdisciplinary science, aimed at developing automatic or semiautomatic techniques to discover
knowledge hidden within large databases. The main purpose of data mining is to provide decision makers with
information that will enable them to make sound decisions. This course will help the student understand data
and issues that need to be considered and the steps that need to be taken to successfully complete a data
analysis or data mining project. This includes summarizing and interpreting data, differentiating between nontrivial and trivial data facts, patterns and relationships in the data, and making predictions from the data.
Course Prerequisite: MGT 510 or concurrent
Required Text(s) and Resources: Data Mining for Business Intelligence
Course Outcomes:

Understand the basic concepts with data mining and how they differ from online transaction
processing (OLTP) and online analytical processing (OLAP).

Understand the overall data mining process including data cleaning, data visualization, classification,
prediction, data reduction, data exploration and data modeling techniques.

Understand the difference between supervised versus unsupervised method approaches and
conditions under which each should be used.

Understand the differences between classification versus predictive approaches, and methods of
evaluating their performance.

Be able to use XLMiner to implement data mining applications to identify non-trivial patterns and
relationships that may exist in a data set.
Assessment of Outcomes:
Assignment
Weight
Quizzes
15%
Assignments
15%
Discussion Board Participation
10%
Term Project
15%
Midterm
20%
Final Exam
25%
Total
100%
Grading System:
Letter Grade
A
B
C
D
F
W
WF
NF
Range
90-100
80-89
70-79
60-69
0-59
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Definition
Excellent
Above Average
Average
Below Average
Failing
Withdrawal during 1st 7 weeks
Withdrawal failing after 7 weeks
Failing – not actively engaged
Please see the instructor’s separate course outline for how grades for the course will be determined,
assignments, exams, due dates, any late submission policy, etc.
Active Participation: Sullivan University cares that students attend their courses. Just as showing up for
work is critically important to job security and work effectiveness, showing up for class is critically
important for mastering the career skills and concepts necessary to obtain, maintain, and be promoted
on a job. Every effort should be made to attend and academically engage in every class and/or
laboratory session. If it becomes necessary for a student to drop a course, or to withdraw from school
entirely, an official withdrawal form should be completed in Enrollment Services at the Louisville
campus, in Academic Services at the Lexington campus, in the Administrative Office at the Fort Knox
campus, and/or for online courses, by contacting the online academic services staff at
[email protected]. All students who withdraw or are withdrawn from the University are required to
complete a Financial Aid Exit Interview with the Financial Planning Department.
As of the winter, 2013 term, attendance will be recorded for each class meeting and absences that
exceed the standards of this policy will result in students being administratively dropped from the
course(s) affected. Attendance is taken and instructors are directed to report student attendance
through the University’s student records management system.
Students should be aware that credit hours associated with a course require a significant amount of
work outside formal instruction.
For more information about attendance and credit hours—including the variations that apply to labs,
live, and online courses—please see the current catalog online, accessible through the student portal.
Academic Integrity: Cheating and plagiarism are serious offenses against the University’s Academic
Integrity and are consequently strictly prohibited. All students must familiarize themselves with the
University policy on Academic Integrity.
Penalties for cheating and plagiarism are described in the University policy on Academic Integrity in the
current catalog. They can include failure for the assignment, failure for the course, or dismissal from the
University. For the complete Cheating/Plagiarism policy, please see the current catalog.
Students with Disabilities: Students who have disabilities that may impact their performance in this
course should follow the process described under the heading Disabled Student Services in the current
catalog.
NOTE: The items below do not apply to online courses.
Plus Friday: Plus Friday is one of Sullivan University’s unique approaches to assist students
academically. This academic “extra” is designed to provide more individualized help for students who
are behind in their studies, miss class during the week, or just want to get ahead for the next week. Full
time faculty are on campus from 8:00 a.m. to 12:00 noon (part time faculty are available by
appointment) to provide assistance. For more details about Plus Friday, please see the catalog.
General Dress Standards: Students are expected to review and understand the dress guidelines under
the heading Dress Standards in the current catalog. Although these standards may not satisfy everyone’s
desire for personal dress freedom, we believe appropriate dress is important for the overall professional
business image. Because we believe this is a constructive and vital part of your professional
development, students are asked to follow these dress standards. These general dress standards will be
enforced by the University faculty, staff and administration.
Professional Dress Wednesday: On Wednesdays, day students are to dress as if they were going on a
job interview. Students who are not appropriately and professionally dressed will not be permitted to
attend class. This particular dress requirement is not applicable to evening students.
Effective: January 2013
Version: 3.6