CET719 Random Processes and Queuing Models

Course Provider

School of Electrical and Electronic Engineering (EEE)



Academic Unit



Stochastic processes and queuing models are essential in system analysis. Hence, it is important to learn discrete-time and continuous-time Markov chains and queuing systems, and their applications in solving practical engineering problems. The objective of this course is to familiarize the participating individuals with understanding of stochastic processes and queuing models. Discrete-time and continuous-time Markov chains and their steady-state analysis will be discussed. Various queuing models will also be discussed. Applications to real world situations will be used to illustrate the theory.

This course is part of:
- Graduate Certificate in Computer Control and Automation
- FlexiMasters  in Computer Control and Automation

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Upon completion, learners should:

1. Understand the properties of discrete-time and continuous-time Markov chains;

2. Carry out steady-state analysis of discrete-time and continuous-time Markov chains;

3. Understand the properties of various queuing models and;

4. Apply various queuing models to real-world situations.

Random Processes

Stochastic processes. Poisson process. Discrete-time Markov chain. Chapman- Kolmogorov equations. Long-run properties of Markov chains. First passage times. Absorbing states. Continuous-time Markov chain. Birth-death processes.

Queuing Models

Basic structure of queuing models. Examples of real queuing systems. The role of the exponential distribution. Queuing models based on the birth-death process, M/M/s model, M/M/s/K model. The application of queuing theory.

Automation Engineers for upgrading and Engineers who wish to switch to the automation field.

Standard Course Fee: S$1,635

SSG Funding Support


Course fee payable after SSG funding, if eligible under various schemes


Fee BEFORE funding & GST

Fee AFTER funding & 8% GST

Singapore Citizens (SCs) and Permanent Residents (PRs) (Up to 70% funding)



Enhanced Training Support for SMEs (ETSS)


SCs aged ≥ 40 years old
SkillsFuture Mid-career Enhanced Subsidy (MCES)
(Up to 90% funding)

• NTU/NIE alumni may utilise their $1,600 Alumni Course Credits. Click here for more information.

Read more about funding
CET715 Discrete Time System Modelling and Analysis1
CET716 State-Space Design Methods1
CET717 Optimal Control, Design and Implementation of Digital Controllers1
CET718 Linear and Nonlinear Programming1
CET720 Decision Analysis1
CET721 Robot Kinematics1
CET722 Robot Control1
CET723 Robotic Sensing and Sensors1
CET724 Image Processing for Vision1
CET725 Pattern Recognition and Stereo Vision1
CET726 Three-dimensional computer vision1
CET727 Process modelling1
CET728 Model predictive control1
CET729 Multivariable process control1

Listed courses are:

  • Credit-bearing and stackable to Graduate Certificate in Computer Control and Automation (total 9AUs) and FlexiMasters in Computer Control and Automation (total 15AUs)
  • SSG funded and SkillsFuture Credit approved