Oman College of Management & Technology
COURSE SYLLABUS
Administrative and Financial Sciences Department
Course Code & Title
Semester
Instructor
Class Schedule
Office Hours
Web Site
E-mail
(103210) Quantitative Analysis-1 (S1 and S2)
Semester 20161
Dr. Ali Ghufran
Monday and Wednesday (S1)
08:30 – 10:00 AM
Monday and Wednesday (S2)
16:30 – 18:00 PM
Sunday - Wednesday
10:00 – 12:30 PM
Thursday
10:00 – 14:00 PM
www.omancollege.edu.om/ali.ghufran
[email protected]
Teaching Methods:
The class sessions will be based on the following teaching and learning activities:  Series of Lectures
 Discussion between students and faculty
 Numerical based on topics covered
 Assignments, surprise test as and when required by the faculty
Course Description:
The focus of this course is the thorough examination of specialized techniques in
areas such as linear programming both graphical and simplex method, sensitivity
analysis of these methods, integer programming, and transportation problems. The
course should develop the application capabilities of students and strengthen their
modeling experience of real world problems in the above-mentioned areas.
Course Objectives:
The objective of the course is to teach the learner basic
managerial problems and to solve decision problems
statistical techniques, and also to develop among students
performance to various operations within the organization
efficient.
quantitative approach to
using quantitative and
the approaches to logical
in order to make it more
Learning Outcomes:
Upon the completion of the course students are expected to be able to:
 Define the operations research
 Define and explain the linear programming, Assignment
Transportation problem and its practical importance.
 Role of Network analysis and Integer programming.
Syllabus
Page 1 of 3
and
Quantitative Analysis-1 (103210)
Course Time Table:
Week
1
2
3
4
5
6
Topics
Basic mathematical techniques required for solving problems
Introduction of Operation Research and Quantitative Techniques
Linear Programming: Introduction and Formulation
Linear programming: Graphical Method
PBL activities (Problems sets and exercises)
First Exam (Covering Weeks 1-6)
Linear programming: Simplex Method
PBL activities (Problems sets and exercises)
Assignment Problem
PBL activities (Problems sets and exercises)
Transportation Problem
PBL activities (Problems sets and exercises)
Second Exam (Covering Weeks 7-12)
Integer Programming
PBL activities (Problems sets and exercises)
7
8
9
10
11
12
13
14
15
16
Doubt clearance session/Revision
Final Exam (Whole Syllabus)
Students Activity:




Series of Lectures
Discussion
Solving numerical problems
Assignments as and when required
Textbook/References:
 Quantitative Techniques in Management, N.D. Vohra, Tata McGraw Hill, New
Delhi, India
 Hamdy A. Taha, Operation Research – An Introduction, PHI, India
 A. P. Verma, Operation Research, S.K. Kataria & Sons, India
 Richard Brownson, Govindasami Naadimuthu; Operations Research, Tata
McGraw Hill, New Delhi
Performance Evaluation:
The grade will be based upon the following:
 First Exam
20%
 Second Exam
20%
 Class Participation & Activity
10%
 Final Exam
50%
Syllabus
Page 2 of 3
Quantitative Analysis-1 (103210)
Student Responsibility:
 Mobile phones must be turned off during class time.
 Students are expected to participate in class discussion and critiques. Failure
to do so will result in grade reduction.
 Students are expected to follow OCMT’s standardized attendance policy.
Lecture attendance is mandatory. Students are allowed maximally of 15%
absentia of the total module hours.
 Students are required to work on projects in and outside of class, and must
complete all assignments.
 Meeting all deadlines and complete all assignments, (Late papers will not be
accepted).
 Maintaining discipline in class.
 Coming on time and staying till class is over.
Syllabus
Page 3 of 3
Quantitative Analysis-1 (103210)