Synopsis
This course introduces the application and theoretical background of basic discrete-event simulation concepts and models. Topics included the basic queuing systems, random number generation, model development, model verification and validation and result analysis. Students will be exposed to simulation model development using a simulation package. The course also helps the students to expand their critical thinking skills by experimenting with the simulated model for improvement.
Learning Outcome
- Possess detail and in-depth knowledge by classifying the steps involved in simulation process.
- Distinguish the entities involved in a simulation process and illustrate the activity cycle diagram for each entities.
- Demonstrate the appropriate methods to solve applied basic queuing system.
- Construct logical discrete-event simulation models of queuing system.
Assessment
No | Type Of Assessment | Number | % each | % total | Week |
1 | Article Review | 1 | 5 | 5 | 1 |
2 | Quiz | 2 | 5 | 10 | 4-7 |
3 | Assignment | 1 | 5 | 5 | 8-9 |
4 | Project (Individual) | 1 | 15 | 15 | 4-8 |
5 | Project (Group) | 1 | 25 | 25 | 1-14 |
6 | Final | 1 | 40 | 40 | 16-18 |
Total | 100 |