Quantitative Methods for MBA

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Riyadh Philanthropic Society for Science
Prince Sultan University
Dept of Marketing & Management
‫مؤسسة الرياض الخيرية للعلوم‬
‫جامعة األمير سلطان‬
‫قسم العلوم األدارية والتسويق‬
Course Syllabus – Fall 2012
Quantitative Methods for MBA
Instructor’s name: Dr. Sajed Abukhader
Office hours: Look up website for a schedule
Tel and email: 01 – 4948534
abukhader2000@gmail.com
Course Description
College of Business Administration
The Innovative Business School
Vision
Our vision is to be a hallmark of
excellence and innovation in business
education in the Kingdom of Saudi
Arabia.
Mission
Our mission is to promote excellence and
innovation in business education,
research, and service in the Kingdom of
Saudi Arabia in line with international
standards.
Quantitative methods span a wide range of topics related to statistical analysis, modeling, and decision
making. This course, as a pre-requisite for non-business students, equips enrolled students with
fundamental tools including statistics, forecasting techniques, linear programming, PERT/CPM project,
location analysis, transportation and assignment problems, etc.
Course Objectives
The course aims at:
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Preparing non-business students for the forthcoming MBA courses from a quantitative perspective
Equipping students with a selected set of fundamental quantitative methods and tools
Learning Outcomes
At the end of the course, students should be able to:
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Estimate the demand values for production purposes
Model a business application into variables and constraints seeking an optimal solution
Select a location for the facility such that costs incurred are minimal
Assign sources and destinations for transportation and schedule labor to jobs
Find the shortest path for handling the project
‫مؤسسة الرياض الخيرية للعلوم‬
Riyadh Philanthropic Society for Science
‫جامعة األمير سلطان‬
Prince Sultan University
Dept of Marketing & Management
‫قسم العلوم األدارية والتسويق‬
Course Materials/Possible References
Anderson et al. Quantitative Methods for Business , 11th or 12th edition , McGrawHill
Hamdy Taha. Operations Research – An Introduction. 8th edition, PrenticeHall
Topics Coverage
1.
2.
3.
4.
5.
6.
7.
Introductory: data description and basic statistics
Probability distributions
Forecasting techniques
Linear programming
Minimal spanning tree, Shortest route and Assignment algorithms
Location analysis
Analytic hierarchy process
Marks Scheme
Assessment Items
Total
100 marks*
Important notes
Class participation
6
Attendance
2
If you are absent two days, then you lose one mark;
three days absent then two marks lost!
Homeworks
2
Late submissions are not acceptable!
Mini-case work
5
Submission of a group report WITH a presentation
(Last day of the semester)
First Exam
20
Date: November 4th
Second Exam
25
Date: December 16th
Final Exam
40
A denial (deprivation from final exam) will be issued
to the student after making absences 4 days
* The teacher reserves the right to change this distribution, if he deems fit, and in that case the
matter would be communicated to you.
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