UnitLevel 5Postgraduate

ENG5805 Statistical data processing and operations research

Faculty of Engineering

ENG5805 Statistical data processing and operations research is a level 5, 6-credit-point, postgraduate unit from the Faculty of Engineering, offered in 2025 in Semester 1 at Malaysia. It has no prerequisites.

Credit points
6
Offered in 2025
Semester 1
Malaysia
Assessment
Exam 50%
and 5 other tasks
Workload
144 hours
per semester

This is the 2025 handbook entry. See the 2026 entry.

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Requisites

Before ENG5805

No prerequisites or corequisites besides the enrolment rules below.

After ENG5805

No unit lists ENG5805 as a prerequisite in the 2025 handbook.

Enrolment rules

You must be currently enrolled in a master’s course in engineering or related STEM and in a related discipline. The unit assumes that you have the necessary foundational knowledge.

Equivalent units

The same content under another code. Only one of them counts.

Overview

This unit introduces the basic engineering statistical analysis and operations research techniques for engineers. Topics include modelling data, statistical inferences, correlations and simple linear regressions, linear programming, Simplex Method for linear programming, Duality Theory, and Sensitivity Analysis. The unit is oriented towards industrial engineering applications rather than mathematical development.

Offerings in 2025

Teaching periodCampusMode
First semesterMalaysiaOn campus

Assessment

  • Assignment 1WrittenThreshold hurdle
    15%
  • Assignment 2WrittenThreshold hurdle
    20%
  • Quiz 1Quiz / TestThreshold hurdle
    5%
  • Quiz 2Quiz / TestThreshold hurdle
    5%
  • Weekly exercisesExerciseThreshold hurdle
    5%
  • Final assessmentExaminationThreshold hurdle
    50%

Learning outcomes

When you finish this unit, you should be able to:

  1. 1

    Apply operational research methods to problems in a system.

  2. 2

    Apply data analysis using statistical methods in a system.

  3. 3

    Design and justify statistical ideas and concepts for improving the efficiency of a system.

  4. 4

    Design an efficient system by utilising computer-based statistics, operations research modelling and data analysis.

Workload and teaching

  • Practical activities24 hours
  • Workshops24 hours
  • Teaching approachActive learning
  • Teaching approachSimulation or virtual practice
  • Teaching approachEnquiry-based learning
  • Teaching approachCase-based teaching

The minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of 3-6 hours of scheduled learning activities and 6-9 hours of independent study per week. Scheduled activities may include a combination of teacher-directed learning, peer-directed learning and online engagement. Independent study may include associated readings, assessment and preparation for scheduled activities.

  • Hands-on learning through analysis and software to model the problem during class.
  • Q&A learning activity, discussion with peers on the topics.

You will apply an operations research and statistics software to a problem, generate and anaylse the data and provide a feasible and practical solution to the problem.

You will discuss the application of statistics and operations research for each problem, understand the data generated and provide feasible and practical solutions to the problems.

You will participate in discussions on industrial problems and case examples and understand the approach to the solution of the problems.

Learning resources

Recommended resources

  • Introduction to Operations Research (2010), Frederick S. Hillier, Gerald J. Lieberman, 9th Edition, McGraw-Hill Higher Education, 2010.
  • Linear Programming and Resource Allocation Modeling (2018), Michael J. Panik, John Wiley & Sons
  • Step-By-Step Optimization with Excel Solver - The Excel Statistical Master, Mark Harmon, Excel Master Series
  • Statistics for Business and Economics (2014), David R. Anderson (David Ray), 1941- Dennis J Sweeney; T. A Williams (Thomas A.); Jeffrey D. Camm 1958-; James J Cochran 12th rev. ed.
  • Statistics for Business and Economics (2018), McClave, Benson, Sincich, 13th Edition, Pearson Education Ltd, 2018
  • An Introduction to Management Science - Quantitative Approaches to Decision Making (2008), Anderson, Sweeney, Williams, Martin, 12th Edition, South-Western Thomson Learning
  • Operations Research An Introduction (2017), Hamdy A Taha, 10th Edition, Pearson Education Ltd, 2017

Technology resources

  • SPSS Statistics software is available on MoVE
  • Solver for operations research - Integrated with Excel spreadsheet

Contacts

Chief Examiners
Dr Ho Kok Hoe
Unit Coordinators
Dr Ho Kok Hoe

Common questions

What are the prerequisites for ENG5805?

ENG5805 has no prerequisites, but enrolment rules apply.

When is ENG5805 offered?

In 2025, ENG5805 runs in Semester 1 at Malaysia.

How much work is ENG5805?

The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.

Does ENG5805 have an exam?

Yes. The exam is worth 50% of the final mark, alongside 5 other tasks.

More details

Credit points
6
Level
5
Study level
Postgraduate
Faculty
Faculty of Engineering
Type
Coursework
EFTSL
0.125
Student contribution
SCA Band 2
Study abroad
Available
Handbook years
20222023202420252026