Module Handbook


Module Name:

Mathematical Modeling I

Module Level:


Abbreviation, if applicable:

MAT 304

Sub-heading, if applicable:


Courses   included   in   the

module, if applicable:



6th / Third Year

Module coordinator(s):

Dr.  Fatmawati, M.Si.


Dr.  Fatmawati, M.Si.; Dr. Windarto, M.Si.


Bahasa Indonesia

Classification   within   the


Compulsory Course / Elective Studies

Teaching format / class

hours per week during semester:

2 hours lectures (50 min / hour)


2 hours lectures, 2 hour structural activities, 2 hours individual study,

13 week per semester, and total 78 hours per semester   2.6 ECTS

Credit Points:



Multivariable  Calculus ; Ordinary Differential Equation

Learning goals/competencies:

General Competence (Knowledge)

Understanding the concept and stages of the mathematical modeling on a real problem especially in the field of life science.


Specific Competence:

1.       Understanding the principle of the mathematical modeling

2.       Understanding the basic concept of the dynamical system

3.       Explain the basic model of the epidemiology

4.       Explains the model host-vector.

5.       Applying the mathematical modeling of epidemiology on a real problem


Understanding the mathematical modeling, formulation of the mathematical modeling in the life science, model analysis , numerical simulation and interpretation of the model

Soft skill Attribute

Discipline , honesty , cooperation and communication

Study/exam achievements:

The assessments include the essay test (quiz, middle exam) and group presentations (final exam).


Final score (NA) is calculated as follow: 10% soft skill + 15% quiz+ 15% assignment + 30% UTS (middle exam) + 30% UAS (final exam)


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 and group presentation


1.       Giardiano, F. R., Weir, M. D., and Fox, W. P., 2003, Mathematical Modeling, 3rd Edition, Brooks/Cole, USA.

2.       Brauer, F., and Castillo-Chavez, C., 2010, Mathematical Models in Population Biology and Epidemiology, 2nd Edition, Springer-Verlag, New York, Inc.

3.       De Vries, G.,Hillen, T., Lewis, M., Muller, J., and Schonfisch, B., 2006, A Course in mathematical Biology: Quantitative Modeling with Mathematical and Computational Methods, SIAM, Philadelphia.

4.       Ma, Z., Zhou, Y., and Wu, J., 2009, Modeling and Dynamics of Infectious Diseases, World Scientific, New Jersey.