Download CISS 472 DEA Data Warehousing and Decision Support Systems

Columbia College Online Campus
P a g e |1
CISS 472 DEA
Data Warehousing and Decision Support
Systems
Marc 2015 Session 14-54
March 23, 2015 – May 16, 2015
Course Description
An investigation of data warehousing, data mining, and decision support systems. Topics include
design and architectural issues, cost effectiveness, management concerns, data integrity, deployment,
and maintenance issues.
Prerequisite: CISS 430
Proctored Exams: -- Midterm and Final
Textbooks
Business Intelligence and Analytics, Tenth Edition., Sharda. R.; Delen, D and Turban, E., Prentice Hall,
Upper Saddle River, NJ ISBN 13 978-0-13-305090-5
Textbooks for the course may be ordered from MBS Direct. You can order


online at http://direct.mbsbooks.com/columbia.htm (be sure to select Online Education
rather than your home campus before selecting your class)
by phone at 800-325-3252
For additional information about the bookstore, visit http://www.mbsbooks.com.
Course Overview
This course is designed to provide you an understanding of how to design, develop, and implement a
data warehouse for a decision support system. You will also learn to explain how a data warehouse
can be used to support all levels of management when making strategic, tactical. and operational
decisions that affect the organization. Each week we'll focus on a different aspect of a data warehouse
with virtual tours, class discussion, and other activities that will help you understand the issues and
problems encountered in developing and using decision support systems.
Technology Requirements
Participation in this course will require the basic technology for all online classes at Columbia
College:
Columbia College Online Campus




P a g e |2
A computer with reliable Internet access,
a web browser,
Acrobat Reader,
Microsoft Office or another word processor such as Open Office.
You can find more details about standard technical requirements for our courses on our site.
Course Objectives








To learn data mining and decision support fundamentals and techniques.
To understand data collection, cleaning and aggregation issues.
To construct meaningful multi-dimensional models.
To investigate data warehousing issues.
To utilize a data mining query language.
To learn statistical techniques for analyzing data.
To utilize decision trees in data analysis.
To investigate cluster analysis.
Measurable Learning Outcomes








Characterize a data warehouse.
Describe data warehousing architectures.
Discuss data clearing and reduction issues.
Utilize a data mining query language.
Employ statistical measures in data analysis.
Explain data mining association rules.
Utilize decision tree techniques for data analysis.
Perform cluster analysis.
Grading
Grading Scale
Grade Weights
GRADE
POINTS
PERCENT
ASSIGNMENT
POINTS
PERCENT
A
900-1000
90-100
Discussions
150
15%
B
800-899
80-89
Dropbox Assignments
450
45%
C
700-799
70-79
Midterm Exam
20
20%
D
600-699
60-69
Final Exam
20
20%
F
0-599
0-59
Total
1000
100%
Schedule of Due Dates
WEEK
Week 1
ASSIGNMENT
Discussion #1
Dropbox Writing Assignment 1
POINTS
10
75
DUE DATE
Saturday
Sunday
Columbia College Online Campus
Week 2
Week 3
Week 4
Week 5
Week 6
Week 7
Week 8
Discussion #2
Discussion #3
Dropbox Writing Assignment 2
Discussion #4
Discussion #5
Dropbox Writing Assignment 3
Discussion #6
Discussion #7
Midterm Exam
Discussion #8
Discussion #9
Dropbox Writing Assignment 4
Discussion #10
Discussion #11
Dropbox Writing Assignment 5
Discussion #12
Discussion #13
Dropbox Writing Assignment 6
Discussion #14
Discussion #15
Final Exam
Total
P a g e |3
10
10
75
10
10
75
10
10
200
10
10
75
10
10
75
10
10
75
10
10
200
1000
Saturday
Saturday
Sunday
Saturday
Saturday
Sunday
Saturday
Saturday
Sunday
Saturday
Saturday
Sunday
Saturday
Saturday
Sunday
Saturday
Saturday
Sunday
Saturday
Saturday
Saturday
Assignment Overview
Readings: The appropriate chapters from the book should be read prior to submitting assignments
or participating in discussions. In the Course Content area, you will find many other resources you
may want to view before engaging in a discussion.
Discussion postings: Each should be complete by Friday of the assigned week, and responses to
classmates should be posted by Saturday of the assigned week. Discussion participation must
address the discussion topic and is worth 10 points for each topic (150 points total).
Dropbox Writing Assignments: Each week, except weeks 4 and 8, there is a Dropbox assignment.
Each Dropbox assignment will require you to do some research online and write a paper based upon
what you discover. Grades will be assigned on the basis of accuracy of the information presented. All
Dropbox assignments should be completed in Microsoft Word and submitted to the appropriate
Dropbox on the class’s website. Each should be between one and two pages, single spaced, and
should include your name. Make sure you read each assignment carefully, as many contain multiple
requirements.
Exams: The Midterm and Final exams will include multiple choice and short answer questions. Each
will be worth 200 points (400 total). Each exam is proctored and should not take longer than 2 hours.
Course Schedule
Week 1 – Decision Making and Analytics: An Overview
Readings: Chapters 1-2
Columbia College Online Campus
P a g e |4
Discussion Assignments
1.
2.
Introduce yourself in the Introductions discussion. Include your profession, hobbies,
interest in computer systems, and any other information that can help us get to know
you.
When you were looking for a college program, somehow you were able to decide on
attending Columbia College. Examine your decision making process. What criteria were
important? What was your final set of alternatives? How did you decide among them?
Share these thoughts as part of discussion 2 and compare them with those of other class
members.
Dropbox Assignments
Go to the University Network’s Teradata site (http://academicprograms.teradata.com/tun/).
You may want to bookmark that site as we will be going there often. Click on the right where
is says Student registration. You will then be asked to enter the password which is
UnifiedDataArchitecture. The first time visiting this site, you will need to register. Once
registered (its free) you will have access to some very good information.
The first Dropbox assignment requires you to find and read the Case Study “Harrah’s High
Payoff from Customer Information. Answer the following questions about the case:
1. What information does the data mining generate?
2. How is this information helpful to management in decision making? (Be specific)
3. List the types of data that are mined?
4. Is this a DSS or BI application? Why?
If you experience issues with the teradata website or you have questions, let me know right
away.
Week 2– Data Warehousing and Business Reporting
Readings: Chapters 3-4
Discussion Assignments
3. What are the security concerns in building a data warehouse?
4. What are the best practices in business reporting?
Dropbox Assignment
The dropbox assignment for Week 2 can be found on the Class Website under CONTENT.
Submit Proctor Information Form to the Proctor Information Dropbox by the end of this week.
Week 3– Data Mining and Techniques for Predictive Modeling
Readings: Chapter 5 and 6
Discussion Assignments
5. What are the main reasons for the recent popularity of data mining?
6. Why is using an ANN a promising approach to making money in the stock market? What
can it do that other decision support technologies cannot do? How could it fail?
Dropbox Assignments
Go to the teradatastudentnetwork.com. Locate and read the Harrah’s case and answer the
following questions:
1. Which of the Harrah’s data applications are most likely implemented using neural
networks?
2. What other applications could Harrah’s develop using the data it is collecting from its
customers?
3. What are some concerns you might have as a customer at this casino?
Week 4– Text Analytics, Text Mining, and Sentiment Analysis
Readings: Chapter 7 and 8
Discussion Assignments
7. What is sentiment analysis and how does it relate to text mining?
Columbia College Online Campus
P a g e |5
8.
Discuss the expected benefits of Web structured mining. Provide examples from real
world applications that you are familiar with.
Midterm Exam
The midterm exam will be available on the class website on Tuesday of Week 4. It must be
completed by midnight Saturday. The exam will be multiple-choice questions and a study
guide can be found in the Content section of the course. All questions will come from the
Turban text, chapters 1-8. You must have a proctor to take the exam (See proctor
information).
Week 5– Prescriptive Analytics
Readings: Chapter 9
Discussion Assignments
9. What are the differences between static and dynamic models and how can one evolve
into the other?
10. What is the difference between an optimistic and a pessimistic approach to decision
making under assumed uncertainty?
Dropbox Assignment
On page 430 of the text, under Exercises, complete question number 2.
Week 6– Heuristic Search Methods and Automated Decision Systems
Readings: Chapters 10-11
Discussion Assignments
11. Many computer games can be considered visual simulation. Explain why.
12. What are the differences between forward chaining and backward chaining and describe
when each is most appropriate.
Dropbox Assignment
Go to palisade.com and examine the capabilities of Evolver. Write a one page summary
about your findings.
Course Evaluations: Please evaluate the course. You will be able to submit your course evaluation
between Sunday of Week 5 and Thursday of Week 7. A link will be sent to your CougarMail that will
allow you to access the evaluation.
Week 7– Knowledge Management, Big Data, and Analytics
Readings: Chapters 12-13
Discussion Assignments
13. Why is the term knowledge so difficult to define?
14. Can machines learn? Why or why not? Defend your position.
Dropbox Assignment
On the internet, go to youtube.com. Search for videos on Big Data computing. Watch at least
two and summarize your findings with a one page report.
Week 8– The Future of Management Support Systems
Readings: Chapter 14
Discussion Assignment
15. How could intelligent systems be integrated used in Columbia College’s advising and
registration system? Don’t focus on a single issue. What can be done to make the system
better for every student? This is your chance to put into use the knowledge you have
gained from this course and make Columbia College better.
Final Exam
The final exam will be similar to the midterm. It will open on Tuesday of Week 8 and must
be completed by midnight Saturday. The exam is comprised of multiple- choice questions.
The final exam is an individual assignment. Collaboration with other students is strictly
Columbia College Online Campus
P a g e |6
prohibited. A study guide will be provided. You must take the exam in a proctored setting
(See proctor information).
Course Policies
Student Conduct
All Columbia College students, whether enrolled in a land-based or online course, are responsible for
behaving in a manner consistent with Columbia College's Student Conduct Code and Acceptable Use
Policy. Students violating these policies will be referred to the office of Student Affairs and/or the
office of Academic Affairs for possible disciplinary action. The Student Code of Conduct and the
Computer Use Policy for students can be found in the Columbia College Student Handbook. The
Handbook is available online; you can also obtain a copy by calling the Student Affairs office (Campus
Life) at 573-875-7400. The teacher maintains the right to manage a positive learning environment,
and all students must adhere to the conventions of online etiquette.
Plagiarism
Your grade will be based in large part on the originality of your ideas and your written presentation
of these ideas. Presenting the words, ideas, or expression of another in any form as your own is
plagiarism. Students who fail to properly give credit for information contained in their written work
(papers, journals, exams, etc.) are violating the intellectual property rights of the original author. For
proper citation of the original authors, you should reference the appropriate publication manual for
your degree program or course (APA, MLA, etc.). Violations are taken seriously in higher education
and may result in a failing grade on the assignment, a grade of "F" for the course, or dismissal from
the College.
Collaboration conducted between students without prior permission from the instructor is
considered plagiarism and will be treated as such. Spouses and roommates taking the same course
should be particularly careful.
All required papers may be submitted for textual similarity review to Turnitin.com for the detection
of plagiarism. All submitted papers may be included in the Turnitin.com reference database for the
purpose of detecting plagiarism. This service is subject to the Terms and Conditions of Use posted on
the Turnitin.com site.
Non-Discrimination
There will be no discrimination on the basis of sex, race, color, national origin, sexual orientation,
religion, ideology, political affiliation, veteran status, age, physical handicap, or marital status.
Disability Services
Students with documented disabilities who may need academic services for this course are required
to register with the Coordinator for Disability Services at (573) 875-7626. Until the student has been
cleared through the disability services office, accommodations do not have to be granted. If you are a
student who has a documented disability, it is important for you to read the entire syllabus before
enrolling in the course. The structure or the content of the course may make an accommodation not
feasible.
Online Participation
You are expected to read the assigned texts and participate in the discussions and other course
activities each week. Assignments should be posted by the due dates stated on the grading schedule
in your syllabus. If an emergency arises that prevents you from participating in class, please let your
instructor know as soon as possible.
Columbia College Online Campus
P a g e |7
Attendance Policy
Attendance for a week will be counted as having submitted a course assignment for which points
have been earned during that week of the session or if the proctoring information has been
submitted or the plagiarism quiz taken if there is no other assignment due that week. A class week is
defined as the period of time between Monday and Sunday (except for Week 8, when the week and
the course will end on Saturday at midnight). The course and system deadlines are all based on the
Central Time Zone.
Cougar E-mail
All students are provided a CougarMail account when they enroll in classes at Columbia College. You
are responsible for monitoring e-mail from that account for important messages from the College and
from your instructor. You may forward your Cougar e-mail account to another account; however, the
College cannot be held responsible for breaches in security or service interruptions with other e-mail
providers.
Students should use e-mail for private messages to the instructor and other students. The class
discussions are for public messages so the class members can each see what others have to say about
any given topic and respond.
Late Assignment Policy
An online class requires regular participation and a commitment to your instructor and your
classmates to regularly engage in the reading, discussion and writing assignments. Although most of
the online communication for this course is asynchronous, you must be able to commit to the
schedule of work for the class for the next eight weeks. You must keep up with the schedule of
reading and writing to successfully complete the class.
Late submissions to a discussion will receive a 2-point reduction for each day late. As assignment
that is four days late will receive no points.
Late submissions to a dropbox assignment will receive a 10-point reduction per day late. An
assignment that is seven days late will receive no points.
Taking the midterm or final exam late is not allowed, since a proctor is required.
Course Evaluation
You will have the opportunity to evaluate the course near the end of the session. Course evaluations
will open on Sunday of Week 5 and will remain open until Thursday of Week 7. A link will be sent to
your CougarMail that will allow you to access the evaluation. Be assured that the evaluations are
anonymous and that your instructor will not be able to see them until after final grades are
submitted.
Proctor Policy
Students taking courses that require proctored exams must submit their completed proctor request
forms to their instructors by the end of the second week of the session. Proctors located at Columbia
College campuses are automatically approved. The use of Proctor U services is also automatically
approved. The instructor of each course will consider any other choice of proctor for approval or
denial. Additional proctor choices the instructor will consider include: public librarians, high school
or college instructors, high school or college counseling services, commanding officers, education
service officers, and other proctoring services. Personal friends, family members, athletic coaches
and direct supervisors are not acceptable.
Columbia College Online Campus
P a g e |8
Additional Resources
Orientation for New Students
This course is offered online, using course management software provided by Desire2Learn and
Columbia College. The Student Manual provides details about taking an online course at Columbia
College. You may also want to visit the course demonstration to view a sample course before this one
opens.
Technical Support
If you have problems accessing the course or posting your assignments, contact your instructor, the
Columbia College Helpdesk, or the D2L Helpdesk for assistance. Contact information is also available
within the online course environment.
[email protected]
[email protected]
800-231-2391 ex. 4357
877-325-7778
Online Tutoring
Smarthinking is a free online tutoring service available to all Columbia College students.
Smarthinking provides real-time online tutoring and homework help for Math, English, and Writing.
The Writing Center can be used for writing assistance in any course.
Smarthinking also provides access to live tutorials in writing and math, as well as a full range of study
resources, including writing manuals, sample problems, and study skills manuals. You can access the
service from wherever you have a connection to the Internet. I encourage you to take advantage of
this free service provided by the college.
Access Smarthinking through CougarTrack under Students->Academics->Academic Resources.
Grading Criteria
Discussion Rubric
Criteria
Description
Initial Post
Initial posts are substantive, reflecting an understanding of the
readings, and help to advance the understanding of the topic.
5
Reponses
Responses to classmates help to extend the discussion by identifying
points of agreement (or disagreement) or by posing questions to
engage classmates in further discussion.
3
Level of
participation
Read the majority posts of your classmates and respond to at least 2
of your classmates by the deadline. Clearly, those who post often and
post earlier in the week provide more opportunities for others to
engage in the discussion.
2
Total
Points
10
Columbia College Online Campus
P a g e |9
Dropbox Rubric
Criteria
Description
Overview/Conclusion
Addresses the assigned issue or question; provides a
conclusion that summarizes the information provided
and/or the author’s position on the issue.
25
Content
Incorporates terminology from the text; reflects an accurate
understanding of the readings and additional research.
References are recommended when utilized.
25
Application
Illustrates concepts with appropriate real world examples.
25
Total
Points
75