University of Wisconsin-Whitewater
Curriculum Proposal Form #3
New Course
Effective Term:
2137 (Fall 2013)
Subject Area - Course Number: ITSCM 774
Cross-listing:
(See Note #1 below)
Course Title: (Limited to 65 characters)
Data Analytics and Business Intelligence
25-Character Abbreviation:
Data Analytics and BI
Sponsor(s):
Paul Ambrose
Department(s):
IT/BE
College(s):
Business and Economics
Consultation took place:
NA
Programs Affected:
Yes (list departments and attach consultation sheet)
Departments:
MBA
Is paperwork complete for those programs? (Use "Form 2" for Catalog & Academic Report updates)
NA
Yes
Prerequisites:
will be at future meeting
Graduate student status or consent of instructor
Grade Basis:
Conventional Letter
S/NC or Pass/Fail
Course will be offered:
Part of Load
On Campus
Above Load
Off Campus - Location Online & Madison
College:
Business and Economics
Dept/Area(s): IT/BE
Instructor:
David Munro, Robert Leitheiser
Note: If the course is dual-listed, instructor must be a member of Grad Faculty.
Check if the Course is to Meet Any of the Following:
Technological Literacy Requirement
Diversity
Writing Requirement
General Education Option: Select one:
Note: For the Gen Ed option, the proposal should address how this course relates to specific core courses, meets the goals of General Education in
providing breadth, and incorporates scholarship in the appropriate field relating to women and gender.
Credit/Contact Hours: (per semester)
Total lab hours:
Number of credits:
Total lecture hours:
Total contact hours:
3
Can course be taken more than once for credit? (Repeatability)
No
Yes
If "Yes", answer the following questions:
No of times in major:
No of times in degree:
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No of credits in major:
No of credits in degree:
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48
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Proposal Information: (Procedures for form #3)
Course justification: Business intelligence and analytics are integral to modern business organizations to
help capture, store and generate information for strategic and operational decision-making.
Relationship to program assessment objectives: This course will be part of the IT management
emphasis in the MBA program and will address the information technology management emphasis
objectives
Budgetary impact:
None
Course description: (50 word limit)
A graduate course covering the use information technology to assist decision making in today’s business
environment. This course provides an overview of decision making theory, data warehousing, data
mining, business intelligence and analytics. The course also surveys contemporary framework, tools, and
techniques for BI and data analytics.
Prereq: Graduate student status or consent of instructor.
If dual listed, list graduate level requirements for the following: N/A
1. Content (e.g., What are additional presentation/project requirements?)
2. Intensity (e.g., How are the processes and standards of evaluation different for graduates and
undergraduates? )
3. Self-Directed (e.g., How are research expectations differ for graduates and undergraduates?)
Course Objectives and tentative course syllabus with mandatory information (paste syllabus below):
University of Wisconsin – Whitewater
College of Business and Economics
Course Syllabus
Fall 2013
Course Information
 Course Title:
 Course No.:
 Prerequisites:


Meeting days/time:
Class room:
Instructor Information
 Name:
 Office room number:
 Office hours:
Data Analytics and Business Intelligence
ITSCM 774, Section 1, 3 credits
Enrolled in a College of Business and Economics graduate degree
program, or consent of instructor
Tuesdays – 6:30 pm to 9:00 pm
Hyland 3200
Dr. David Munro
Hyland Hall 3412
Tuesdays, Thursdays 10:50 a.m. – 12:20 p.m.
Thursdays 2 – 4 p.m.
Mondays from 9:00 am – noon (Electronic)
and by appointment
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
Office phone:


Mailbox:
E-mail:
(262) 472-5004 (Office)
(262) 472-1322 (Department Office)
ITSCM Department Office, Hyland 3301
munrod@uww.edu
Materials
 Required textbook:
o Business Intelligence (2011)
Efraim Turban, Ramesh Sharda, Darsun Delen, and David King
ISBN-10: 0-13-610066-X, ISBN-13: 978-0-13-610066-9, Prentice Hall.
o
Additional scholarly and practitioner articles will be provided as needed
Course Website
Electronic course support is offered through the Desire2Learn1 (D2L) course management system. D2L
can be accessed online at http://www.uww.edu/desire2learn/. Please check D2L for class
announcements, assignments/cases, syllabus, course material, and scores.
Catalog Course Description
ITBE 774: DATA ANALYTICS AND BUSINESS INTELLIGENCE
A graduate course covering the use information technology to assist decision making in today’s business
environment. This course provides an overview of decision making theory, data warehousing, data
mining, business intelligence and analytics. The course also surveys contemporary framework, tools, and
techniques for BI and data analytics.
Prereq: Graduate student status or consent of instructor.
Course Objectives
This course is designed to provide an overview of how to use information technology to assist in carrying
out decision making in today’s business environment. This course does an overview of decision making
theory, data warehousing, data mining, business intelligence and analytics. Over the last decade there has
been an explosive growth of in the using of technology in decision making. Any of the topics could easily
cover a course itself so by necessity we will not cover everything. Our purpose is to gain an overall
understanding of the different facets involved. With this understanding as a background a student should
have the foundation to pursue further detail study after this course.
At the end of the course students should be able to
1. Explain the ways that human’s process information in making decisions can be enabled and/or
mislead by technology.
2. Articulate some of the ways the data can be analyzed to learn new knowledge.
3. Describe the alternatives ways that a data warehouse can be developed and organized.
4. Identify some of the differences between the different decision making technologies.
5. Describe some of the management issues and problems that occur with using the decision making
technology.
The above learning outcomes will enable students in this class to acquire critical thinking, analytical, and
decision-making skills. The learning environment will foster team-player skills.
Course Structure
Classes will be devoted to covering material from the prescribed text, and additional material as deemed
necessary to enhance the quality of learning. The instructor will emphasize the main concepts, structures
and processes during class and will reinforce the concepts through case discussions. The classes will be
1 Visit https://www.uww.edu/desire2learn/for-students for D2L help
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structured to instill critical thinking, analytical, and decision-making skills. Learning will be assessed
through cases, quizzes, exams, project, computer assignments, and class discussions as detailed below.
Group Case Analyses
There will be several cases assigned during the course of the semester. Students will prepare for, and
present/discuss the assigned case in class, working in groups. Each group is expected to submit a case
analysis write-up, the class following the case discussion. Case evaluation includes an assessment of the
presentation/discussion and the write-up submitted the following week. Cases are provided to cultivate
critical thinking, and reinforce concepts present in class. All cases carry equal points and contribute 25%
towards the overall grade
Quizzes
A short quiz will be administered after each lesson in a unit. The goal of these quizzes is to ensure that
students have read the material in order to foster long-term learning and to facilitate discussion and
participation in class exercises. All quizzes carry equal points and contribute 15% towards the overall
grade
Group Research Paper
This group work involves researching two real world examples of organizations, one a success, and other a
failure, that (un)successfully employed strategic innovation to complete in a rapidly changing technological
landscape and presenting the findings as a 10 – 15 page (3000 – 5000 words) research paper. The aim of
this group work is to research, study, and learn from real world examples as why a strong technology
strategy is integral to business success. Each group will also make a 20-minute presentation of their paper
on the last day of class. Unlike cases, this work provides an opportunity for the students to find examples
of successful deployment of IT to foster organizational competitiveness, for themselves. The paper and the
presentation contribute 20% towards the overall grade.
Final Exam
The final exam is cumulative, and offers another opportunity to review and reinforce concepts learned
through the semester. The exam will primarily consist of short answer essay questions and/or mini cases.
The exam is aimed at assessing the level of knowledge and mastery of essential concepts of information
system. The final exam contributes 35% towards the overall grade.
Class Discussion/Participation
Class discussion and participation provide an excellent platform to share ideas, counter points, and enrich
the learning process. Students are encouraged to actively participate in class. This component contributes
5% towards the overall grade.
The contribution of cases, exams, project, and class participation/discussion towards the overall grade is
shown below:
Cases:
Quizzes
Research paper and Presentation:
Final Exam:
Class participation and discussion:
25%
15%
20%
35%
5%
Grading Policy
Course grading scale is shown below. The instructor reserves the right to adjust the scale depending on
overall class performance. All exams, cases and project should be completed and submitted as
required to be eligible for a final passing grade. Incompletes will be dealt as per university policies. A
grade of ‘F’ will be given when the university policy on incompletes is not satisfied.
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Course Grade
A
A‐
B+
B
B‐
C+
C
C‐
D+
D
D‐
F
%
≥93%
≥90% to <93%
≥87% to <90%
≥83% to <87%
≥80% to <83%
≥77% to <80%
≥73% to <77%
≥70% to <73%
≥67% to <70%
≥63% to <67%
≥60% to <63%
<60%
Course Policy
Quizzes and Exams:
Quizzes and exams are to be taken as scheduled. There will be no make-up exams except for extreme
emergency or medical reasons supported by medical or other appropriate documentation. In case of
emergency, please call or email the instructor as soon as possible. Quizzes and exams should reflect
individual work.
Cases and Research Paper:
Cases and research paper requirements have to be presented/submitted on the date and time specified.
There will be no make-up for missed cases or research paper milestones.
Electronic Devices
The use of electronic devices including PDAs, cell phones, laptops is not permitted during class and exam
hours, unless the instructor grants explicit permission.
Expectations
 Regular attendance is essential to do well in the course.
 Students are expected to read assigned readings before class.
 Students are encouraged to ask questions pertaining to the course in class.
 The instructor is available to clarify doubts after class during the designated office hours, or by
appointment.
 All assignments, exams, homework and quizzes should reflect individual, original effort.
 All matters pertaining to academic dishonesty will be dealt as per guidelines set by the university.
A copy of university policies on such matters is attached.
University Policy
The University of Wisconsin-Whitewater is dedicated to a safe, supportive and non-discriminatory learning
environment. It is the responsibility of all undergraduate and graduate students to familiarize themselves
with University policies regarding Special Accommodations, Misconduct, Religious Beliefs
Accommodation, Discrimination and Absence for University Sponsored Events. (For details please refer to
the Undergraduate Bulletin; the Academic Requirements and Policies and the Facilities and Services
sections of the Graduate Bulletin; and the "Student Academic Disciplinary Procedures" [UWS Chapter
14]; and the "Student Nonacademic Disciplinary Procedures" [UWS Chapter 17]).
Academic Misconduct
The University believes that academic honesty and integrity are fundamental to the mission of higher
education and of the University of Wisconsin System. The University has a responsibility to promote
academic honesty and integrity and to develop procedures to deal effectively with instances of academic
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dishonesty. Students are responsible for the honest completion and representation of their work, for the
appropriate citation of sources, and for respect of others' academic endeavors. Students who violate these
standards are subject to disciplinary action. UWS Chapter 14 identifies procedures to be followed when a
student is accused of academic misconduct. For additional information, please refer to the section in the
Student Handbook titled, Student Academic Disciplinary Procedures.
UWW Student Honor Code:
As members of the University of Wisconsin – Whitewater College of Business & Economics community,
we commit ourselves to act honestly, responsibly, and above all, with honor and integrity in all areas of
campus life. We are accountable for all that we say and write. We are responsible for the academic
integrity of our work. We pledge that we will not misrepresent our work nor give or receive unauthorized
aid. We commit ourselves to behave in a manner that demonstrates concern for the personal dignity, rights
and freedoms of all members of the community. We are respectful of college property and the property of
others. We will not tolerate a lack of respect for these values.
Special needs statement
The University of Wisconsin-Whitewater is dedicated to a safe, supportive and non-discriminatory learning
environment. It is the responsibility of all undergraduate and graduate students to familiarize themselves
with University policies regarding Special Accommodations, Misconduct, Religious Beliefs
Accommodation, Discrimination and Absence for University Sponsored Events. (For details please refer to
the Undergraduate and Graduate Timetables; the "Rights and Responsibilities" section of the
Undergraduate Bulletin; the Academic Requirements and Policies and the Facilities and Services sections
of the Graduate Bulletin; and the "Student Academic Disciplinary Procedures" [UWS Chapter 14]; and the
"Student Nonacademic Disciplinary Procedures" [UWS Chapter 17].
Students with documented disabilities through the Center for Students with Disabilities (CSD) are
encouraged to discuss their accommodation needs with there instructors during the first week of class.
Students must submit their request for services sheet to their faculty. If necessary the forms can be emailed
directly to the instructor from the CSD. Students have primary responsibility in coordinating testing
accommodations. Students must have instructor approval prior to taking tests. Students who are interested
in services should contact the CSD regarding documentation and services. The CSD phone number is 262
472-4711 email csdat@uww.edu
Schedule of Classes2 (Please note that the schedule may vary if needed)
Week
Date
Topic
1–2
TBD
Introduction to Business Intelligence
3–4
TBD
Data Warehousing
5–6
TBD
Business Performance Management
7–8
TBD
Data Mining for Business Intelligence
9 – 10
TBD
Text and Web Mining
11 – 12
TBD
Business Intelligence Implementation, and Integration
13 – 14
TBD
Business Intelligence Emerging Trends
Course Wrap-up
15 – 16
TBD
Research Paper Presentation and Discussion, Final Exam
2 Additional readings to supplement textbook readings maybe provided.
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