Module Handbook


Module Name:


Module Level:


Abbreviation, if applicable:


Sub-heading, if applicable:


Courses included in the

module, if applicable:



6th/ ThirdYear

Module coordinator(s):

Dr. Windarto


Dr. Windarto, Drs. Edi Winarko, M.Cs, Asri Bekti Pratiwi, S.Si, M.Si



Classification within the


Compulsory Course / Elective Studies

Teaching format / class

hours per week during semester:

3 hours lectures (50 min / hour)


3 hours lectures, 3 hour structural activities, 3 hours individual study,

13 week per semester, and total 117 hours per semester 3.9 ECTS

Credit Points:



Algorithm and Programming, Ordinary Differential Equation

Learning goals/competencies:

General Competence (Knowledge)

able to implement a simulation (numerical) of various mathematical models


Specific Competence :

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


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

Soft skill Attribute:

Disciplinary and activity

Study/exam achievements:

Students are considered to be competent and pass if at least get 40of maximum mark of the exams (UTS and UAS), structured activity (essay quiz, assignment and final individual project to be presented).

Final score (NA) is calculated as follow : 10% softskill + 20% assigment + 20% quiz + 25% UTS + 25% UAS


Final index is defined as follow:

A : 75 100


AB : 70 - 74.99

B : 65 - 69.99

BC : 60 - 64.99

C : 55 - 59.99

D : 40 - 54.99

E : 0 - 39.99

Forms of Media:

Slides and LCD projectors, whiteboards

Learning Methods:

Lecture, assessments, group discussionand individual presentation


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.