TWINTECH COLLEGE
SARAWAK BRANCH
--------------------------------------------------------------------------------------------------------------------------------------------------------------------
Nama Program Pengajian
Universiti Rakan Kerjasama
:
:
Diploma Sains Komputer (Teknologi Maklumat)
Universiti Teknologi Malaysia
NAMA MATA PELAJARAN
PROGRAMMING IN OPERATIONS RESEARCH
KOD MATA PELAJARAN
DDC 2313
TARAF MATA PELAJARAN
Major
TOTAL STUDENT LEARNING
TIME
Face to Face
L = LECTURE
T = TUTORIAL
P = PRACTICE
O = OTHERS
Total Guided and Independent
Learning
L
T
P
O
28
hours
0
42
hours
50
hours
120 hours
JAM KREDIT
3
JAM KONTAK
2 hours lecture + 3 hours laboratory
PERINGKAT
Diploma
SEMESTER & TAHUN
DIAJAR
Semester 3 & Year 2
PRASYARAT (SEKIRANYA
ADA)
DDC 1123
KAEDAH PENYAMPAIAN /
PENGENDALIAN
-
SISTEM PENILAIAN DAN
PECAHAN MARKAH
Quiz
Project
Test 1
Test 2
Final Exam
5%
5%
15%
15%
60%
An 80% of attendance is required for the course registered. If you failed to meet the
requirement, you are not allowed to sit for the final exam.
MAPPING OF THE COURSE /
MODULE TO THE
PROGRAMME AIMS
MAPPING OF THE COURSE /
MODULE TO THE
PROGRAMME LEARNING
OUTCOMES
GURU YANG MENGAJAR
-
OBJEKTIF MATA
PELAJARAN
1.
2.
3.
SINOPSIS MATA
PELAJARAN
This course presents the operations research principles and techniques for solving
decision-making problems in the industry using mathematical models. The techniques
include decision analysis, linear programming, transportation model, assignment model,
network model, and forecasting. The course emphasizes the process of model
development, algorithm design, computer programming development and solution
analysis.
LEARNING OUTCOMES
By the end of this course, students should be able to:
1.
To describe the quantitative analysis approach.
To understand the application of quantitative analysis in real situation.
To use computers and spreadsheets models to perform quantitative analysis.
Define and describe six (6) main terminologies widely used in operations research
(OR) techniques;
2.
3.
4.
5.
6.
Explain six (6) stages for solving problem in OR study;
Distinguish six (6) types of problem related to decision making problems;
Design and develop six (6) models using OR techniques;
Work in team to write a computer program within a given time frame;
Communicate group project deliverables in writing and oral presentation.
GENERIC SKILLS
ADDRESSED
1.
2.
3.
Problem Solving
Communication Skills
Team-working
SUMBER RUJUKAN UTAMA
Render, B., M. Stair, R. & Hanna, M. E., “Quantitative Analysis for Management”, 9th
edition, Prentice Hall Itl. 2006.
SUMBER RUJUKAN
TAMBAHAN
•
•
•
LAIN-LAIN SUMBER
RUJUKAN
Faridah Maarof, Maslin Masrom & Mohd Yunos Majid, “Penyelidikan Operasi:
Algoritma dan Penggunaan (Terjemahan)”, Terbitan UTM
Hilier, F. S. & Lieberman, G. J., “Introduction to Operations Research”, McGraw Hill,
1995.
Anderson, Sweeney & Williams, “An Introduction to Management Science:
Quantitative Approaches to Decision Making”, South-Western, 2003.
-
TAJUK MATA PELAJARAN DAN NILAI JAM KONTAK
TAJUK MATAPELAJARAN
1.
2.
3.
4.
5.
INTRODUCTION TO OPERATIONS RESEARCH
1.1 Problem Solving and Decision Making
1.2 Quantitative analysis and decision making
1.3 Stages in Operations Research Analysis
1.4 Models of Cost, Revenue and Profit
1.5 Solving Problems Using Computer Software
DECISION THEORY
2.1 Decision Making without Probabilities
2.2 Decision Making with Probabilities
2.3 Decision Analysis with Sample Information
2.4 Utility and Decision Making
2.5 Write an Algorithm
2.6 Solving Problems Using Computer Software
LINEAR PROGRAMMING MODEL (LP)
3.1. Introduction
3.2. Problem Formulation
3.3. Graphical Solution to LP problem
3.4. Four special cases in LP
3.5. Solving Maximisation problems with Simplex Method
3.6. Solving Minimisation Problems
3.7. Write an Algorithm
3.8. Solving Problems Using Computer Software
TRANSPORTATION AND ASSIGNMENT MODEL
4.1. Introduction
4.2. A Network Model and LP Formulation for a Transportation
problem
4.3. Transportation Simplex method
4.4. A Network Model and LP Formulation for an Assignment Problem
4.5. Hungarian Method for Solving an Assignment Problem
4.6. Write and Algorithm
4.7. Solving Problems Using Computer Software
NETWORK MODEL
5.1 Introduction
5.2 Minimal Spanning Tree Technique
5.3 Maximal Flow Technique
5.4 Shortest Route Technique
5.5 PERT/CPM
5.6 Write an Algorithm
5.7 Solving Network Models Using Computer Software
JAM
KULIAH
JAM
TUTORIAL
JAM
PRAKTIKAL
4
-
6
4
-
6
8
-
12
4
-
6
4
-
6
6.
FORECASTING
6.1 Introduction
6.2 Type of Forecasts
6.3 Scatter Diagram
6.4 Measures of Forecasting Accuracy
6.5 Time-Series Forecasting Models
4
-
6
JUMLAH JAM KULIAH KURSUS (14 MINGGU)
28
-
42
JUMLAH JAM KREDIT (14 MINGGU)
2.0
-
1.0
Date
Reviewed By
Approved By
Revision
04