UnitLevel 6Postgraduate

ENG6805 Statistics and operations research for industrial engineers

Faculty of Engineering

ENG6805 Statistics and operations research for industrial engineers is a level 6, 0-credit-point, postgraduate unit from the Faculty of Engineering, offered in 2024 in Semester 1 at Malaysia. It has no prerequisites.

Credit points
0
Offered in 2024
Semester 1
Malaysia
Assessment
No exam
6 tasks
Workload
144 hours
per semester

This is the 2024 handbook entry. See the 2027 entry.

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Requisites

Before ENG6805

Prohibitions

You can't enrol if you have passed any of these.

After ENG6805

No unit lists ENG6805 as a prerequisite in the 2024 handbook.

Enrolment rules

You must be enrolled in the Engineering PhD program. Students enrolled in another PhD program may seek permission from the Faculty of Engineering.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 2024

Teaching periodCampusMode
First semesterMalaysiaOn campus

Assessment

  • Assignment 1Threshold hurdle
    15%
  • Assignment 2Threshold hurdle
    20%
  • Quiz 1Threshold hurdle
    5%
  • Quiz 2Threshold hurdle
    5%
  • Weekly exercisesThreshold hurdle
    5%
  • Final asessmentThreshold hurdle
    50%

Learning outcomes

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

  1. 1

    Apply operational research techniques to problems in industrial engineering.

  2. 2

    Apply statistical methods to problems in industrial engineering [R].

  3. 3

    Design and justify statistical ideas and concepts for improving efficiency of production processes.

  4. 4

    Design optimal strategies using statistics and operations research via computers as tools for modelling scarce set of resources to improve efficiency in systems.

Workload and teaching

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

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.

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.

  • 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.

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 ENG6805?

ENG6805 has no prerequisites, but enrolment rules apply.

When is ENG6805 offered?

In 2024, ENG6805 runs in Semester 1 at Malaysia.

How much work is ENG6805?

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

Does ENG6805 have an exam?

No. ENG6805 has 6 assessment tasks and no exam.

More details

Credit points
0
Level
6
Study level
Postgraduate
Faculty
Faculty of Engineering
Type
HDR
EFTSL
0
Student contribution
SCA Band 2
Study abroad
Not available
Handbook years
202220232024202520262027