Course Catalog - Knowledge Systems Institute

KNOWLEDGE SYSTEMS INSTITUTE
GRADUATE SCHOOL OF COMPUTER & INFORMATION SCIENCES
www.ksi.edu
847-679-3135
instructional systems in education, business and
industry. Fiscal, logistical, allocative, informational
and planning methods. (3 credits)
BA531
Data Mining: This course is intended to explore
both the data mining and its applications. This
course is going to cover the principles and
techniques for extracting information. Students will
learn the fundamentals of data mining, strategies,
approaches, techniques to discover intelligence
from data, and evaluation of data mining models.
Some examples are, supervised/unsupervised
learning, classify, cluster, associate, etc. Practical
applications include sales promotion, marketing
strategies, and fraud detection. Prerequisite:
CIS331. (3 credits)
BA533
Fundamentals of Knowledge Management:
This course provides a detailed understanding
of the practice of Knowledge Management
(KM). Content includes understanding the best
practices used in commercial and public sectors
today, establishing KM practice, defining and
understanding knowledge modes - tacit/explicit,
knowledge sharing techniques, communities of
practice (CoP), conducting after action reviews,
and case studies and future implications of KM.
(3 credits)
BA534
Topics in Knowledge Management: This
course provides a detailed understanding of
the practice of Knowledge Management (KM).
Content includes KM evolution; best practices
used in commercial and public sectors today,
where KM is headed, and why it is so vital to
an organization’s success. At the end of this
course, the participants will have an advanced
understanding of knowledge management,
knowledge management concepts and principles,
and how to apply them. (3 credits)
BA535
Knowledge Acquisition and Modeling
with UML: This course will instruct students on
the various concepts and methods used for
knowledge representation. Students will learn
how to apply the Unified Modeling Language
(UML) and the Knowledge Acquisition Unified
Framework as a standard process to capture
and build knowledge models to represent
knowledge. This course on knowledge modeling
will focus on three (3) major representations
of knowledge. These representations include
Ladders, Network Diagrams and Decision Trees. In
this course, students will examine the knowledge
modeling and UML concepts and applying those
concepts to build knowledge models with UML.
A demonstration of the Knowledge Acquisition
Unified Framework software will be incorporated
within the framework of the course. (3 credits)
BA563
Electronic Commerce Workshop: In this
course, students will engage in group projects to
go through the entire process of e-commerce
application development, including the business
model, materials flow, cash flow and web-based
system prototyping. Prerequisites: CIS513, BA519.
(3 credits)
BA700
Special Seminars: Under the supervision of
an instructor, students may request to study
individually in an advanced subject not included
in the regular courses. Students are required to
read one or more textbooks and/or a collection
of papers, do exercises and take examinations. All
the requirements are identical to the requirements
for a regular graduate course. (3 credits)
Course Descriptions
18