Course Description
and Objectives
Textbook and
References
Software
Methods of
Instruction
Evaluation
Student
Responsibilities
Attendance Policy
Academic
Dishonesty
ADAAccom
modation Notice
Instructor: Dr. Vladimir Zanev
Office Location/Phone Number: CCT 442/
(706) 507-8182
Office Hours: Mon-Thu 3:00 p.m.- 4:00 p.m. , Fri:10:00-11:30 a.m.
E-mail: D2L class e-mail or zanev_vladimir@columbusstate.edu
Website: https://colstate.view.usg.edu
http://csc.columbusstate.edu/zanev/current_courses.asp
This course is offered as an online class in the Summer term of 2013. Class meets 100%
online at
( https://colstate.view.usg.edu )
SECTION
CRN 53006
DAYS TIME
MTWR Online, 85 min. sessions
LOCATION
Online
Online Interface:
CougarVIEW (Desire2Learn) will be the primary method of online interaction in this course.
Course materials (course outline, schedule, calendar, quizzes, assignments, Midterm and Final
exams, resources, email, and grading will be available through CougarVIEW. You can access
CougarVIEW at:
https://colstate.view.usg.edu
At this page, login with your username and password and open My Home page. Your
CougarVIEW (D2L) username and password are the same you are using to login to the CSU
computers. If you are a newly accepted student at CSU, your username and passwords are:
Username: lastname_firstname
Password: MMDDYY
where MMDDYY is the student birth date. (Example - Birthday of Oct. 25, 1978 is 102578)
For password resets, call the CSU Helpdesk at 706-507-8199.
On My Home page find the link to our course and click on it to open the Course Home page.
This Course Home page with the left-hand Course Content menu will give you access to all
course tools and materials.
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Course Description, Objectives, and Outcomes
Prerequisites - CPSC 3131 Database Systems or equivalent course.
This course covers the fundamentals of the business intelligence, business intelligence
development and delivering. It provides an introduction to the business intelligence architecture,
data warehousing and data marts, including planning, designing, building, and populating a
successful data marts and business intelligence systems. Topics covered in this course include
business requirement analysis, multidimensional and tabular semantic modeling, physical data
mart design, extraction-transformation-load design and development, MDX scripting, online
analytical processing, and presenting business intelligence. Business intelligence OLAP
applications, reports, services, and pivot tables will be developed and delivered. The course
includes individual assignments with extensive business intelligence and database work.Specific
topics covered in this course include:
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Organization for effective decision making and business intelligence
Business intelligence at different levels in an organization
Fundamentals of business intelligence architecture: OLTP, data marts, data warehouse,
OLAP
Business intelligence models: multidimensional and tabular BI models
Defining business intelligence structures: creating data mart, extract-transform-load tools
for loading data marts
Working with multidimensional BI semantic model: cubism, MDX language and queries
Working with tabular BI semantic model
Development and delivering of business intelligence information
Expected Outcomes:
At the completion of this course, students will have an understanding of:
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What business intelligence is
How to design and plan business intelligence structures
How to create and work with Multidimensional BI semantic model and data cubes
How to work with MDX language and query data cubes for business intelligence
information
How to create and work with tabular semantic BI model
How to interpret the information from business intelligence structures
How to develop business intelligence reports with Excel, pivot tables, drill-down,
dynamic, key performance indicators dashboard reports, dynamic graph and chart reports.
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Textbook and References
Textbook - required
Title: Delivering Business Intelligence
Author: Brian Larson
Publisher: McGraw Hill
ISBN-10: 0071759387
ISBN-13: 9780071759380
Edition: 3rd, 2012
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Software
Software
To complete all lessons, projects, and exams, you will need a computer with:
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Windows XP/Vista/7, browser, Word, and PowerPoint
Internet Access (account) to the CSU CougarVIEW (D2L) class site
BI Student Virtual Server remotely accessed with the following software available:
o
o
o
o
o
o
SQL Server 2012 Database Engine
SQL Server 2012 Integration Services
SQL Server Analysis Services
SQL Services Analysis Services/Tabular
SQL Server Reporting Services
Report Builder
o
MS Excel PowerPivot
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Methods of Instruction
Methods of Instruction:
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Textbook readings and slides
Quizzes
Assignments
Final Exam
Readings and Slides
The CPSC 5555U online class is scheduled MTWR with online sessions each one of 85 min. To
complete all class requirements you need an additional amount of time. The class topics follow
the textbook chapters. In a scheduled topic unit you have to cover chapter topics from the
textbook and slides, and learn-by-doing exercises (organized as projects). The topics covered in
the class follow the course schedule. See the class Schedule for details. Each student is expected
to complete all textbooks chapters, slides, and learn-by-doing exercises.
Quizzes
With most of the chapters covered in the class we will have quizzes. The quiz questions cover
topics from textbook chapters. Questions on the quizzes may include the following: multiple
choice answer selection, true-false, and short essay questions. All quizzes will be delivered
through the class Web site at D2L. The quizzes are online, one attempt, and timed (short time about 30 min for about 20-30 questions). The quizzes require beforehand a good preparation for
a success.
Projects
The projects are "hands-on practice" part of the course that allows developing knowledge, skills
and experience. Each project provides you with practice developing business intelligence
structures, analytical processing, extract-transform-load projects, analysis services projects, data
mining projects, and variety of reports working with data cubes and data marts. The projects are
related to the major business intelligence topics covered in the class. The details of each of these
projects are outlined in the Project Web pages of the class Web site. The projects have to be
developed and saved on the student BI (Business Intelligence) Virtual Server not later than
midnight on the due date. Late projects are not accepted for credits. See the Project Web
pages of the class Web site for details.
Exam
Your performance in this class will be measured by a Final Exam. No make-up exam will be
given unless the exam was missed due to a documented emergency. The Exam will be a
timed, problem-solving, project-oriented exams.
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Evaluation
Evaluation
The final grade will be obtained from the following:
Quizzes
Assignments
Final Exam
20%
60%
20%
The letter grade will be assigned as follows:
Grade
A
B
C
D
F
Points
90-100
80-89
70-79
60-69
0 -59
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Student Responsibilities
Student Responsibilities
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Each student is responsible to manage his/her time and maintain the discipline required to
meet the course requirements.
Each student is responsible to read from the textbook, lecture notes, references, and
tutorials, review questions, and problems covered in the class
Each student is responsible to be prepared and complete in time all assignments and quizzes
Each student is responsible to adhere to all course deadlines and actively to participate in
class meetings
Each student is responsible to take the exams as they are scheduled in the course schedule.
"I didn't know" is not an acceptable excuse for failing to meet the course requirements.
Students who fail to meet their responsibilities do so at their own risk.
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Attendance Policy
Attendance Policy
Attendance at all classes and other activities (lecture periods, laboratory sessions, tests,
examinations, or other schedule meetings is required of every student at Columbus State
University. The attendance record begins with the first meeting of the class, and one who
registers late is responsible for class work missed. Student should note that the Computer
Science Faculty does not initiate "class drops". A student wishing to drop should complete the
official procedure before the deadline. Those who violate the attendance policy after that
deadline may receive an "F" at the discretion of the instructor. After the midpoint of the quarter,
no drop slip will be signed by the Dean unless extreme circumstances can be proved.
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Academic Dishonesty
Academic Dishonesty: Academic dishonesty includes, but is not limited to, activities such as
cheating and plagiarism
(http://ace.columbusstate.edu/advising/a.php#AcademicDishonestyAcademicMisconduct). It is a
basis for disciplinary action. Any work turned in for individual credit must be entirely the work
of the student submitting the work. All work must be your own. You may share ideas but
submitting identical assignments (for example) will be considered cheating. You may discuss
the material in the course and help one another with debugging; however, any work you
hand in for a grade must be your own. A simple way to avoid inadvertent plagiarism is to talk
about the assignments, but don't read each other's work or write solutions together unless
otherwise directed. For your own protection, keep scratch paper and old versions of assignments
to establish ownership, until after the assignment has been graded and returned to you. If you
have any questions about this, please see me immediately. For assignments, access to notes,
the course textbooks, books and other publications is allowed. All work that is not your own,
MUST be properly cited. This includes any material found on the Internet. Stealing or giving or
receiving any code, diagrams, drawings, text or designs from another person (CSU or non-CSU,
including the Internet) is not allowed. Having access to another person's work on the computer
system or giving access to your work to another person is not allowed. It is your responsibility to
keep your work confidential.
No cheating in any form will be tolerated. Penalties for academic dishonesty may include:
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a zero grade on the assignment or exam/quiz
a failing grade for the course
suspension from the Computer Science program
dismissal from the Computer Science program.
All instances of cheating will be documented in writing with a copy placed in the Department's
files. Students will be expected to discuss the academic misconduct with the faculty members
and the chairperson.
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ADA Accommodation Notice
ADA Accommodation Notice
If you have a documented disability as described by the Rehabilitation Act of 1973 (P.L. 933112 Section 504) and Americans with Disabilities Act (ADA) and would like to request
academic and/or physical accommodations please the Office of Disability Services in the Shuster
Student Center (room 221), 706-507-8755 as soon as possible. Course requirements will not be
waived but reasonable accommodations may be provided as appropriate.
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