Module designation | Boundary Value Problems (MAT305) | ||||||||||||||
Semester(s) in which the module is taught | 5th | ||||||||||||||
Person responsible for the module | Nashrul Millah, M.Si. | ||||||||||||||
Language | Indonesian | ||||||||||||||
Relation to curriculum | Compulsory / elective / specialisation | ||||||||||||||
Teaching methods | Lecture, lesson and project | ||||||||||||||
Workload (incl. contact hours, self-study hours) | 2×170 minutes (2×50 minutes lecture and lesson, 2×60 minutes structural activities, 2×60 minutes self-study) per week for 16 weeks | ||||||||||||||
Credit points | 2 CP (3,2 ECTS) | ||||||||||||||
Required and recommended prerequisites for joining the module | Partial Differential Equations (MAT211) | ||||||||||||||
Module objectives/intended learning outcomes | General Competence (Knowledge) able to implement boundary condition theory to solve linear partial differential equations analytically or numerically. Specific Competence : students are able to 1. determine Fourier series of a bounded periodic function. 2. solve a Sturm-Liouville boundary value problem of a linear ordinary differential equation. 3. solve a boundary value problem of a linear partial differential equation. 4. solve a second order differential equation with boundary condition by using finite difference method. 5. solve a linear diffusion equation with boundary condition by using finite difference method. 6. solve a linear transport equation equation with boundary condition by using finite difference method. 7. solve a linear wave equation with boundary condition by using finite difference method. 8. solve Laplace equation boundary condition by using finite difference method. | ||||||||||||||
Content | Fourier series, Sturm-Liouville boundary value problem, boundary value problem in partial differential equation, finite difference method for linear partial differential equation. | ||||||||||||||
Examination forms | Essay and oral presentation | ||||||||||||||
Study and examination requirements | Students are considered to pass if they at least have got a final score 40 (D). Final score is calculated as follow: 10% softskill + 10% assignment + 10% quiz + 25% midterm + 20% project+ 25% final term Final index is defined as follow:
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Reading list | 1. R.A. Bernatz, 2010, Fourier Series and Numerical Methods for Partial Differential Equations, John Willey & Sons, Inc. 2. Boyce, W.E. and DiPrima, R.C., 1992, Elementary Differential Equation and Boundary Value Problems, Fifth Edition, John-Wiley, New York. 3. Zill, Dennis G, 1982, A First Course in Differential Equations with Applications, 2nd Edition, Prindle, Weber & Schmid, Boston. 4. Richard Haberman, 1998, Elementary Applied Partial Differential Equations, 3rd Edition, Prentice Hall. |