School of Accountancy
Accounting 637 – Data Mining and Analytics
Instructor
Ed Doyle, CPA, CIA, CISA, MBA
Phone
(630) 408-2063 - Cell
Email
edoyle.67@me.com
Twitter
@WQ2015ACC637
Web Page
http://oll.depaul.edu
Office Hours
By appointment
Required Text
Business Intelligence: A Managerial Perspective on Analytics, Turban, Delen,
Shrada,
Pearson, Third Edition
ISBN-13: 978-0-13-305105-6
ISBN-10: 0-13-305105-6
Course Objectives:
This course provides an introduction to the field of data analytics, which has been defined as the
extensive use of data, statistical and quantitative analysis, exploratory and predictive models, and factbased management to drive decisions and actions. The development and use of data warehouses and
data marts to support business analytics is discussed. The use of key performance indicators,
dashboards and scorecards for performance management and opportunity assessment are addressed.
Text and web mining are discussed, and the application of selected data mining techniques to business
decision making situations is illustrated. Data visualization will be used throughout the course to
demonstrate many of these concepts.
These concepts will be discussed from the perspective of the audit profession and the significant impact
that data analytics is having on continuous monitoring, continuous auditing and population testing.
Teaching Methods:
This course stresses the factors that impact data management and analysis methods that have value to
them. This course includes lectures, presentations, and demonstrations that emphasize discussion and
illustration of methods, as well as hands-on, practical exercises that provide both a sound base of
learning and an opportunity to test and develop skill. The use of business analytics software supports the
presentation of the material. Students complete assigned readings, group projects, and participate in
exercises and discussions. As with all Audit and Technology courses, terminology and language
will be a key component of this class and will be an integral part of assignments and quizzes.
Students are required to enroll in the D2L course site for. If you have not previously enrolled in D2L,
you will need to create an account. Supplemental materials will be available on the D2L course site.
The student’s responsibility is to read all material prior to the lecture/discussion and complete problem
assignments prior to review in the class. It will be a significant benefit to students to read chapters in
advance of presentations.
1
Attendance:
Attendance is strongly encouraged. Class participation will be a significant portion of your grade.
Participation will be evaluated by simply by answering questions on a scantron at the end of each class.
There will be no make-ups.
Exams
Please note that this course makes use of online exams.
Remote Proctor Now (RPN) software will be used to ensure the integrity of the midterm and final exams.
The midterm and final exams will not be available to students unless the RPN software is used. RPN
works with a web-camera and microphone either built-in or attached to the computer (the computer you
use must have a camera). These devices identify the student and capture video and audio throughout the
exam. This video and audio will be used for the purpose of establishing if any violations of the Code of
Conduct occurred during the test.
If Code of Conduct violations are determined, the student will be referred to the Academic Integrity Board.
http://academicintegrity.depaul.edu/
There is a student demo available here: http://www.screencast.com/t/dJM4WfTRl.
Data Visualization Project
During the course of the quarter, a Data Visualization project will be assigned in multiple steps. The data
visualization software Tableau will be made available to each student for use during the quarter.
Code of Conduct
Students are expected to observe the School of Accountancy & MIS Code of Conduct, which can be
found on the University’s website.
Grading:
Course grades will be based on the following weights
Class Participation
Midterm & Final
Data Visualization Project
Total
10%
75%
15%
100%
DePaul University Grade Scale
93% A
90% A87% B+
83% B
80% B77% C+
73% C
70% C60% D
59% F
2
Course Schedule
DATE
Topic
Reading Assignment
January 8
Overview of Business
Analytics
Chapter 1
1-4, Nationwide Insurance case
January 15
Data Warehousing
Chapter 2
1-6, Continental
January 22
Business Reporting,
Visual Analytics
Chapter 3
1-8, Premier Healthcare case
January 29
Business Reporting,
Visual Analytics
Chapter 3
February 5
February 12
February 19
Midterm Exam
Data Mining
Text & Web Analytics
Chapter 4
Chapter 5
1-12,15, Macys.com case
1-14, American Public University
February 26
Big Data and Analytics
Chapter 6
1-11, Discovery Healthcare case
March 5
March 12
Big Data and Analytics
Business Analytics:
Trends
Data Visualization
Project
Final Exam
Chapter 7
1-8, Southern States Cooperative
March 19
March 19
Discussion Problems
Note: Dates for lecture topics and homework assignments are tentative and may be changed.
_______________________________________________________________________________
3