Module designation | Algebra (Practical) (MAL307) | ||||||||||||||
Semester(s) in which the module is taught | 5th | ||||||||||||||
Person responsible for the module | Dr. Nenik Estuningsih, M.Si. | ||||||||||||||
Language | Indonesian | ||||||||||||||
Relation to curriculum | Compulsory / elective /specialisation | ||||||||||||||
Teaching methods | Lecture, Group Presentation, and lesson. | ||||||||||||||
Workload (incl. contact hours, self-study hours) | 1×170 minutes (2×50 minutes lecture and lesson and 1×70 minutes self-study) per week for 16 weeks | ||||||||||||||
Credit points | 1 CP (1,6 ECTS) | ||||||||||||||
Required and recommended prerequisites for joining the module | Elementary Linear Algebra (MAL 201) | ||||||||||||||
Module objectives/intended learning outcomes | General Competence (Knowledge): Student capable of developing the M-File Matlab program to solve the problems related to Algebra. Specific Competence: Students are able to 1. Use the syntax in Matlab software related to matrices and their operations. 2. Use the syntax in Matlab to solve systems of linear equations. 3. Use the syntax in Matlab software related to vectors and their operations. 4. Create M-File programs for various cases in algebra. 5. Create Matlab GUI for various cases in algebra. | ||||||||||||||
Content | Syntax at the Matlab are about : Matrix (types of matrix, elementary row operations, reduced row-echelon form, determinant, inverse), solutions systems of linear equations (homogen and non-homogen) using Gauss-Jordan, Cramer and inverse method, eucliden space of R2 and R3 (norm, dot product, cross product, basis, orthogonal projection), eigen value and eigen vector , diagonalisation, solutions systems of linear equations using Decomposition LU, graphs (adjecency matrix, incydence matrix). | ||||||||||||||
Examination forms | Essay and Presentation | ||||||||||||||
Study and examination requirements | Students are considered to pass if they at least have got final score 40 (D). Final score is calculated as follow: 10% softskill+31.5% Test + 26% midterm + 32.5% final exam (Presentation).
Final index is defined as follow:
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Reading list | 1. Anton, Howard & Rorres, Chris, 2004, Aljabar Linear Elementer Versi Aplikasi, jilid 1, Edisi Kedelapan, Erlangga, Jakarta. 2. Etter, Delores M., 2015, Introduction to Matlab 3rd Edition, Pearson Prentice Hall, New York. |
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