Course Code:
QUAMET2
Course Name:
OPERATIONS RESEARCH
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 decisionmaking 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 Credit:
3.0 units
Course Prerequisite:
Quamet1
Objectives:
General
The student will be able to make a real-life application of operations research models and best
practices in the work area as tools for problem solving and decision making. Actual data shall be
gathered, organized, and processed as an individual case study or group project with the aid of
statistical and quantitative models. The actual use of SAS (Business Analytics Tool) and other tools in
statistics, optimization, probability theory, queuing theory, game theory, graph theory, decision
analysis, mathematical modeling, and simulation will be experienced by the students.
Specific
Upon successful completion of the course, the student will be able to:

Identify fundamental or foundational work which takes place in three mathematical
disciplines: probability, optimization, and dynamical systems theory.

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.

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.

Gain first-hand experience in the use of SAS (Business Analytics Tool) and Microsoft Excel.
QUAMET2
School of Accountancy and Business
Page 1 of 5
TOPIC
Objective
:
:
Learning Activities
:
Decision Science
Provide applications in game theory, decision theory, decision analysis,
and forecasting models
Lectures & presentations, hands-on laboratory exercises, exams
WEEK 1
Module 1
Module 2
Module 3
Module 4
Module 5
Module 6
Introduction/Lecture
Discussion
Group Activity
Game Theory
Examples and Problems
Case Presentation
WEEK 2
Module 7
Module 8
Module 9
Module 10
Module 11
Module 12
Decision Theory
Examples and Problems
Case Presentation
Decision Analysis
Examples and Problems
Case Presentation
WEEK 3
Module 13
Module 14
Module 15
Module 16
Module 17
Module 18
Forecasting Models
Examples and Problems
Case Presentation
Examination
Computer Exercises
Applications
TOPIC
Objective
:
:
Learning Activities
:
Linear Programming
Determine solutions in regression analysis, inventory control models, and
linear programming (maximization and minimization) models
Lectures & presentations, hands-on laboratory exercises, exams
WEEK 4
Module 19
Module 20
Module 21
Module 22
Module 23
Module 24
Introduction/Lecture
Discussion
Group Activity
Regression Analysis
Examples and Problems
Case Presentation
WEEK 5
Module 25
Module 26
Module 27
Module 28
Module 29
Module 30
Inventory Control Models
Examples and Problems
Case Presentation
Linear Programming: Maximization Models
Examples and Problems
Case Presentation
QUAMET2
School of Accountancy and Business
Page 2 of 5
WEEK 6
Module 31
Module 32
Module 33
Module 34
Module 35
Module 36
Linear Programming: Minimization Models
Examples and Problems
Case Presentation
Examination
Computer Exercises
Applications
TOPIC
Objective
:
:
Learning Activities
:
Network Modeling
Utilize modeling tools in LP special cases, transportation models,
assignment models, and network models
Lectures & presentations, hands-on laboratory exercises, exams
WEEK 7
Module 37
Module 38
Module 39
Module 40
Module 41
Module 42
Introduction/Lecture
Discussion
Group Activity
Linear Programming: Special Cases
Examples and Problems
Case Presentation
WEEK 8
Module 43
Module 44
Module 45
Module 46
Module 47
Module 48
Transportation Models
Examples and Problems
Case Presentation
Assignment Models
Examples and Problems
Case Presentation
WEEK 9
Module 49
Module 50
Module 51
Module 52
Module 53
Module 54
Network Models
Examples and Problems
Case Presentation
Examination
Computer Exercises
Applications
TOPIC
Objective
:
:
Learning Activities
:
WEEK 10
Module 55
Module 56
Module 57
Module 58
Module 59
Module 60
QUAMET2
Mathematical Modeling
Apply modeling algorithms project management, queuing theory,
simulation modeling, and Markov analysis
Lectures & presentations, hands-on laboratory exercises, exams
Introduction/Lecture
Discussion
Group Activity
Project Management
Examples and Problems
Case Presentation
School of Accountancy and Business
Page 3 of 5
WEEK 11
Module 61
Module 62
Module 63
Module 64
Module 65
Module 66
Queuing Theory
Examples and Problems
Case Presentation
Simulation Modeling
Examples and Problems
Case Presentation
WEEK 12
Module 67
Module 68
Module 69
Module 70
Module 71
Module 72
Markov Analysis
Examples and Problems
Case Presentation
Examination
Computer Exercises
Applications
WEEK 13
Computer Exercises (SAS Forecasting Module)
WEEK 14
Final Exams
Textbook:
Loma, E.J. (2009). Quantitative decision models: introduction to OR and
its Business Applications. Manila: Anvil Publishing
References:
Render, B., Stair, R.M., & Hanna, M.E. (2008). Quantitative analysis for
management, 10th ed. Singapore: Pearson Education International
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.
Web References:
http://www.hsor.org/what_is_or.cfm
http://www.bls.gov/oco/ocos044.htm
http://www.jbs.cam.ac.uk/programmes.htm
http://wps.prenhall.com/bp_render
Online Resource:
http://apc.edu20.org/
Registration Code for Students: apcstudent
Enroll: Quamet2 Section(x) from Catalogue of Subjects
Class password: To be given by the instructor
Excel worksheets and Powerpoints are available at the Lessons Menu
Instructional Strategies:
Lectures and Class Discussions, Exercises, Group Presentation, Case
Analyses and Presentations, Examinations (Quizzes, Midterms, Final
Exams), and Computer Exercises
QUAMET2
School of Accountancy and Business
Page 4 of 5
Grading System:
Case Presentations
Exams and Quizzes
Computer Exercises
Applications
Final Exam
Total
20%
20%
20%
20%
20%
----100%
Passing Grade
70%
Notes:
1. Each module is a 30-minute classroom instruction.
2. MTH/TF/WS classes will have to finish 3 modules per session.
3. A 30-minute consultation period is allotted per week.
4. A student is considered late, and is considered half-absent, if he/she arrives in class after the official start time but within
the allowable period of 30 minutes.
5. A student is considered absent from class if he is not present within the first 30 minutes of the scheduled class session.
6. A maximum of 5 absences is allowed; beyond this, a student is considered deficient in course requirements, and is given
a grade of 0.0 (Failed).
EJL/VM 1/9/13
QUAMET2
School of Accountancy and Business
Page 5 of 5