COURSE SYLLABUS
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------“It is the sole responsibility of the student to (1) acquire a copy of the course syllabus (2) read and understand the course syllabus
(3) clarify any points that are not clear and (4) abide by the conditions and rules given” – The Enderun Way
COURSE NUMBER :
ENTREP 421
COURSE NAME
:
OPERATIONS RESEARCH
PRE-REQUISITE
TERM OFFERING
:
:
COURSE CREDIT
CLASS TYPE
COURSE TIME FRAME
CLASS SCHEDULE
CLASS ADVISER
CONSULTATION TIME
:
:
:
:
:
:
STATISTICS
Year 3, 1st Semester
subject required in BSBA and BSE
3 units
Lecture
3 Hours per Week (Regular Semester)
COURSE DESCRIPTION
Operations Research is an interdisciplinary mathematical science that focuses on the
effective use of technology by organizations in employing techniques such as
mathematical modeling and simulation analysis to arrive at optimal or near-optimal
solutions in complex decision-making problems. This course encompasses a wide
range of problem-solving techniques and methods applied in the pursuit of improved
decision-making and efficiency which includes optimization, decision theory, inventory
analysis, simulation, and other procedures, definitions, and explanations of techniques
used to generate effective quantitative models.
.
COURSE OBJECTIVES
At the end of this course, the students are expected to:
1. Identify fundamental or foundational work which takes place in three
mathematical disciplines: probability, optimization, and dynamical systems
theory.
2. Implement a modeling work which is concerned with the construction of models,
analyzing them mathematically, implementing them on computers, solving them
using software tools, and assessing their effectiveness with data.
3. Provide examples on application work in operational research like
other engineering and economics disciplines which attempt to use models to
make a practical impact on real-world problems.
4. Gain first-hand experience in the use of Microsoft Excel and other tools.
Operations Research (Revised 1st Semester SY 2013-2014)
College of Business and Entrepreneurship
1
COURSE SYLLABUS
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
COURSE CONTENT
WEEK
TOPIC
I
INTRODUCTION/REVIEW
II
Game Theory
III
Decision Theory
IV
Decision Analysis
V
Long Test 1
VI
Forecasting Models
VII
Regression Analysis
VIII
Inventory Control Models
IX
MIDTERM EXAM
X
Linear Programming: Maximization Models
XI
Linear Programming: Minimization Models
XII
Project Management
XIII
Long Test 2
XIV
Queuing Theory
XV
Simulation Modeling
XVI
Markov Analysis
XVII
XVIII
LESSONS
Lesson
1
Lesson
2
Lesson
3
Lessons
1 to 3
Lesson
4
Lesson
5
Lesson
6
Lessons
4 to 6
Lesson
7
Lesson
8
Lesson
9
Lessons
7 to 9
Lesson
10
Lesson
11
Lesson
12
PROJECT PRESENTATION/REVIEW
FINAL EXAM
Operations Research (Revised 1st Semester SY 2013-2014)
College of Business and Entrepreneurship
Lessons
10 to 12
2
COURSE SYLLABUS
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
METHODOLOGY



lectures and class discussions
problem solving and analytical computations
exercises and case analyses
REQUIRED MATERIAL(s)
Render, B., Stair, R.M., & Hanna, M.E. (2011). Quantitative Analysis for
Management, 11th ed. Singapore: Pearson Education International
OTHER SUGGESTED READINGS AND MATERIALS




Hillier, F.S. (2009). Introduction to Operations Research.
Anderson, D.R., Sweeney, D.J., Williams, T.A., & Camm, J.D. (2009).
Quantitative Methods for Business.
Taha, H.A. (2006). Operations Research: An Introduction, 8th ed.
Loma, E.J. (2009). Quantitative Decision Models: Introduction to OR and Its
Business Applications. Manila: Anvil Publishing
QUANTIFIABLE MEASUREMENTS
Seatwork/Activities
Quizzes and Exams
Case Analyses/Presentation
Final Exam/Project
TOTAL
Operations Research (Revised 1st Semester SY 2013-2014)
College of Business and Entrepreneurship
30 %
20 %
30 %
20 %
------100.00%
3
COURSE SYLLABUS
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
ENDERUN OFFICIAL GRADING SYSTEM (Version 4.0)
Grade
Point
1.00
1.25
1.50
1.75
2.00
2.25
2.50
2.75
3.00
Qualitative Description
Quantitative
Description
Excellent
above Enderun Standards
Very Good
within Enderun Standards
Good
within Enderun Standards
Above Average
within Enderun Standards
Average
within Enderun Standards
Below Average
below Enderun Standards
Fair
below Enderun Standards
Needs Improvement
below Enderun Standards
Passing
below Enderun Standards
97% - 100%
94% - 96%
91% - 93%
88% - 90%
85% - 87%
82% - 84%
79% - 81%
77% - 78 %
75% - 76%
4.00
Conditional Pass
only applicable starting with
students who entered Enderun
as freshmen after
SY2009-2010
70 %-74%
Student does not need to repeat the subject but the grade is counted in
computing the student’s GPA pulling down the student’s total GPA (note
the passing GPA is still 3.00)
5.00
Failed
Below 70%
Student needs to repeat the subject and the grade of 5.00 is retained
even if the student passes the failed subject in the next semester the
failed subject is taken
Inc
Incomplete
An Incomplete (INC) means that the student’s class standing is passing
but has failed to submit an important requirement. The student is given
one semester to complete his/her lacking requirements.
If the student fails to complete it within 1 semester, the INC automatically
becomes a failing grade of 5.00.
DRP
Dropped
Dropped (DRP) means that the student officially dropped the subject
within the prescribed period of time set by the Registrar’s Office.
DF
Dropped Failed
Dropped Failed (DF) means that the student incurred excessive
absences but has not officially dropped the subject. DF is convertible to a
grade of 5.00 in the GPA computation.
Depending on the teacher, special arrangements can be made to reduce passing grade and create transmutations for
the other grades using the above table.
Example: 0.00 to 54.99 = 5.00, 55.00 to 59.99 = 4.00, 60.00 to 63.99 = 3.00, 64.00 to 67.99 = 2.75, 68.00 to 71.99
= 2.50, 72.00 to 75.99 = 2.25, 76.00 to 79.99 = 2.00, 80.00 to 83.99 = 1.75, 84.00 to 87.99 = 1.50, 88.00 to 91.99 =
1.25, 92.00 to 100.00 = 1.00
Operations Research (Revised 1st Semester SY 2013-2014)
College of Business and Entrepreneurship
4
COURSE SYLLABUS
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
CLASSROOM POLICIES
1. Policies on Attendance
a. A student is considered late if he/she arrives after 1 minute of the designated class schedule. A
student is considered absent if he/she arrives after the first 15 minutes of the designated class
schedule (though the student is still allowed to sit-in the class depending on the discretion of the
teacher). Official time will be the clock used in the classroom (or the watch of the teacher).
b. For 1 ½ hour classes, three (3) lates will be considered as one absence; and a maximum of seven
(7) cuts/absences are allowed. For 3-hour classes, three (3) lates will be considered as one
absence and a maximum of three (3) cuts/absences are allowed. Note that lates are
considered as fractional cuts (example: 1 late = .33 of a cut, 2 lates = .66 of a cut, 3 lates = 1 cut).
Thus having 7 cuts and 1 late is already a DF (this is equal to 7.33) for 1 ½ hour classes. It is
assumed that attendance will be taken every meeting regardless of whether this is done formally or
informally.
2. Policies on Requirements
a. All requirements must be submitted on time. Corresponding deductions will be given for late
submission of requirements. The teacher will also have the option not to accept late submissions.
b. The teacher will not to give make-up tests, quizzes and assignments. A student will be given a
score of zero for the particular assignment, test or quiz missed.
c. Should there be any mistake in the checking of any course requirement, a student is given until the
next class day after the said requirement is returned to report such an oversight to the teacher.
After which, the grade for the particular requirement is considered FINAL.
d. The teacher is not responsible for submissions not given personally (including those submitted in
the business center, in designated drop boxes, with other people or those that are dropped and left
unattended). Emailed submissions are not final unless a return email from the teacher is received.
e. Other submissions, like compact disks or 3-D figures, must still be properly identified with the
following information: subject name, name of the student, date of submission, topic (and report
numbers if any) of the submission, name of the teacher and other information required by the
teacher
3. Policies on Classroom Management
a. Students must enter the classroom in complete and appropriate uniforms (with coats, ties
(for men), blazers and proper footwear). Lab uniforms are allowed only if the student has lab
classes during the day.
b. All mobile phones and electronic gadgets must be kept and outside the common vision (and
hearing) of the teacher and other students unless specified by the teacher. Confiscation of the
gadgets (and/or its peripherals) may be enforced – even without prior warning. Laptops may be
open only if it is part of the teacher’s instructions for a specific class.
c. Students are required to have the designated textbook, materials and other requirements at all
times (which includes a calculator and a notebook). It is assumed that students are reading their
textbooks and materials ahead of time and are fully prepared whenever class starts. It is the
responsibility of the student to know (and ask the teacher) what will be the lessons for all future
classes.
Operations Research (Revised 1st Semester SY 2013-2014)
College of Business and Entrepreneurship
5