MAT208 – Simulation

Module designation

Simulation (MAT208)

Semester(s) in which the module is taught

5^th 

Person responsible for the module

Dr. Windarto, M.Si.

Language

Indonesian

Relation to curriculum

Compulsory / elective / specialisation

Teaching methods

Lecture, lesson and project

Workload (incl. contact hours, self-study hours)

3 x 170 minutes (3 x 50 minutes lecture and lesson, 3 x 60 minutes structural activities, 3 x 60 minutes self-study) per week for 16 weeks

Credit points

3 CP (4.8 ECTS)

Required and recommended prerequisites for joining the module

Algorithm and Programming, Ordinary Differential Equation

Module objectives/intended learning outcomes

General Competence

Students are expected to be able to implement a simulation (numerical) of various mathematical models.

Specific Competence

Students are expected to be able to:

1.      Explain the stages of mathematical modelling and simulation.

2.      Simulate the mathematical models of continuous and discrete dynamic systems using computer.

3.      Manipulate genetic algorithm for applying optimization mathematical model simulation.

4.      Explain important aspects on queue problems and simulate simple queue system problems using computer.

5.       Present and simulate mathematical models.

Content

This course discusses introduction of mathematical models and simulation; model simulation of continuous and discrete dynamic system; simulation using genetic algorithm; theory and queue system simulation.

Examination forms

Essay, oral presentation and writing final report.

Study and examination requirements

Students are considered to pass if they at least have got a final score 40 (D).

The assessments include assignment, quiz, midterm exam and final project (oral presentation and writing final report ). Final score is calculated as follow: 10% softskill + 22% assignment and quiz + 38% midterm exam + 30% final project.

Final index is defined as follow:

Reading list

(1)   Birta, L.G. and Arbez, G., Modelling and Simulation, Exploring Dynamic System Behaviour, 2007, Springer-Verlag, London.

(2)   Law, Averill M., and Kelton W. David, 1991, Simulation Modelling and Analysis, McGraw-Hill, Inc., Singapore.

(3)    Haupt, R.L. and Haupt, S.E., 2004, Practical Genetic Algorithm, John Wiley and Sons.