KENNESAW STATE UNIVERSITY
GRADUATE COURSE PROPOSAL OR REVISION,
Cover Sheet (10/02/2002)
Course Number/Program Name CS 7060 Mobile Intelligence / MS-CS
Department Computer Science / College of Science and Mathematics
Degree Title (if applicable) M.S. Computer Science
Proposed Effective Date Fall, 2012
Check one or more of the following and complete the appropriate sections:
X New Course Proposal
Course Title Change
Course Number Change
Course Credit Change
Course Prerequisite Change
Course Description Change
Sections to be Completed
II, III, IV, V, VII
I, II, III
I, II, III
I, II, III
I, II, III
I, II, III
Notes:
If proposed changes to an existing course are substantial (credit hours, title, and description), a new course with a
new number should be proposed.
A new Course Proposal (Sections II, III, IV, V, VII) is required for each new course proposed as part of a new
program. Current catalog information (Section I) is required for each existing course incorporated into the
program.
Minor changes to a course can use the simplified E-Z Course Change Form.
Submitted by:
Approved
Dr. Ying Xie
Faculty Member
10/1/2011
Date
Not Approved
Department Curriculum Committee Date
Approved
Approved
Approved
Approved
Approved
Approved
Not Approved
Department Chair
Date
School Curriculum Committee
Date
School Dean
Date
GPCC Chair
Date
Dean, Graduate College
Date
Not Approved
Not Approved
Not Approved
Not Approved
Not Approved
Vice President for Academic Affairs Date
Approved
Not Approved
President
Date
KENNESAW STATE UNIVERSITY
GRADUATE COURSE/CONCENTRATION/PROGRAM CHANGE
I.
Current Information (Fill in for changes)
Page Number in Current Catalog
Course Prefix and Number
Course Title
Credit Hours
Prerequisites
Description (or Current Degree Requirements)
II.
Proposed Information (Fill in for changes and new courses)
Course Prefix and Number ________CS 7060________________
Course Title __Mobile Intelligence
________
Credit Hours 3-0-3
Prerequisites CS 7030 Mobile Device Application Development
Description (or Proposed Degree Requirements)
This course covers advanced and/or intelligent mobile application development. Topics include crossplatform mobile application development, mobile augmented reality, and mobile business
intelligence.
III.
Justification
As informatics is underway of migrating from desktop platform to mobile platform, mobile computing has
evolved to be the frontier of computing technology. This course covers advanced and/or intelligent
mobile application development technology. Furthermore, this course contributes to the following
Program Objectives:
P.L.O. 2: Students will be required to demonstrate that they have in-depth knowledge of at
least two fields within computer science.
P.L.O. 5: Function effectively in teams to accomplish common goals.
P.L.O. 6: Demonstrate the ability to deliver a complete development project, meeting the standards
and requirements.
IV.
Additional Information (for New Courses only)
Instructor: Ying Xie
Text: None. Multiple documents and online resources will be provided.
Prerequisites: CS 7030 Mobile Device Application Development
Objectives:
Upon the completion of the course, students will be able to

demonstrate their capability of developing cross-platform mobile applications

demonstrate their capability of developing mobile augmented reality applications

explain business intelligence technologies

demonstrate their capability of developing mobile business intelligence applications
Instructional Method
The course will meet primarily for traditional lectures, which are also recorded and
streamed live to remote students.
Method of Evaluation
Evaluation will be through exams, quizzes, grading of lab reports, and attendance at lab sessions.
Evaluation will consist of:
Midterm Exam:
30%
Final Exam:
30%
projects:
20%
Homework assignments:
20%
100%
V.
Resources and Funding Required (New Courses only)
Resource
Amount
Faculty
Other Personnel
Equipment
Supplies
Travel
New Books
New Journals
Other (Specify)
$0
$0
$0
$0
$0
$0
$0
$0
TOTAL
$0
Funding Required Beyond
Normal Departmental Growth
$0
VI. COURSE MASTER FORM
This form will be completed by the requesting department and will be sent to the Office of the
Registrar once the course has been approved by the Office of the President.
The form is required for all new courses.
DISCIPLINE
COURSE NUMBER
COURSE TITLE FOR LABEL
(Note: Limit 16 spaces)
CLASS-LAB-CREDIT HOURS
Approval, Effective Term
Grades Allowed (Regular or S/U)
If course used to satisfy CPC, what areas?
Learning Support Programs courses which are
required as prerequisites
Computer Science
CS 7060
Mobile Intellig
3-0-3
Fall 2012
Regular
APPROVED:
________________________________________________
Vice President for Academic Affairs or Designee __
VII Attach Syllabus
CS 7060 Mobile Intelligence
3 Class Hours, 0 Laboratory Hours, 3 Credit Hours
Course Description: This course covers advanced and/or intelligent mobile application
development. Topics include cross-platform mobile application development, mobile augmented
reality, and mobile business intelligence.
Instructor: TBD
Learning Objectives:
Upon the completion of the course, students will be able to

demonstrate their capability of developing cross-platform mobile applications

demonstrate their capability of developing mobile augmented reality applications

explain business intelligence technologies

demonstrate their capability of developing mobile business intelligence applications
Textbook: None. Multiple documents and online resources will be provided.
Instructional Methods and Attendance Policy: The course will meet primarily for traditional
lectures, which are also recorded and streamed live to remote students.
Course Requirements and Assignments: The course will meet for traditional lecture. Students
will be expected to meet for lecture, participate in group project developments, and complete and turnin a research paper as well as homework assignments for grading.
Evaluation and Grading: Evaluation will be through exams, quizzes, grading of lab reports, and
attendance at lab sessions. Evaluation will consist of:
Course project 1:
30%
Course project 2:
30%
Homework assignments:
20%
Research paper:
20%
100%
Academic Honesty: Every KSU student is responsible for upholding the provisions of the Student
Code of Conduct, as published in the Undergraduate and Graduate Catalogs. Section II of the
Student Code of Conduct addresses the University's policy on academic honesty, including
provisions regarding plagiarism and cheating, unauthorized access to University materials,
misrepresentation/falsification of University records or academic work, malicious removal, retention,
or destruction of library materials, malicious/intentional misuse of computer facilities and/or
services, and misuse of student identification cards. Incidents of alleged academic misconduct will
be handled through the established procedures of the University Judiciary Program, which includes
either an "informal" resolution by a faculty member, resulting in a grade adjustment, or a formal
hearing procedure, which may subject a student to the Code of Conduct's minimum one semester
suspension requirement.
Students are encouraged to study together and to work together on project assignments as per the
instructor’s specifications for each assignment; however, the provisions of the STUDENT
CONDUCT REGULATIONS, II. Academic Honesty, KSC Undergraduate Catalog will be strictly
enforced in this class.
Disability policy. Kennesaw State University provides program accessibility and reasonable
accommodations for persons identified as disabled under Section 504 of the Rehabilitation Act of
1973 or the Americans with Disabilities Act of 1990. A number of services are available to help
disabled students with their academic work. In order to make arrangements for special services,
students must visit the Office of Disabled Student Support Services (770-423-6443) and arrange
an individual assistance plan. In some cases, certification of disability is required. It is the
student’s responsibility to take care of this at the beginning of the semester.
Schedule and Topic Coverage (subject to change):
Week
Lecture Topic
1
Course Introduction
Cross-platform mobile app
2
development – PhoneGap
Cross-platform mobile app
3
development – Rhodes Mobile
Cross-platform mobile app
4
development – iPFaces
Mobile Augmented Reality –
5
Camera and Compass
Mobile Augmented Reality –
6
GPS and Accelerometer
Project Development
7
8
First Project presentation
Mobile Business Intelligence –
9
Business Intelligence Basics1
Mobile Business Intelligence –
10
Business Intelligence Basics 2
Mobile Business Intelligence –
11
Business Intelligence 2
Mobile Business Intelligence –
12
Collective intelligence
Mobile Business Intelligence –
13
Predictive intelligence
Mobile Business Intelligence –
14
MicroStrategy BI Platform
15 Project Development
Final Project
16 Presentation/Research paper
due