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Module code: DBMAB-120 |
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5 |
Academic Year: 1 |
Mandatory course: yes |
Language of instruction:
German |
Assessment:
Graded exam (Mathematics 2: Duration 120 min., 100 pts.) This exam will be written in the 2nd semester (Block 2A) according to the examination schedule. Prerequisites for receiving credits: The achievement of at least 40 out of 100 points in the "Mathematics 2" exam. The module grade corresponds to the student’s performance in the "Mathematics 2" exam and is shown as a decimal grade according to the htw saar grading scheme.
[updated 28.04.2023]
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DBMAB-120 (P720-0016) Mechanical Engineering / Production Technology, Bachelor, ASPO 01.10.2021
, study year 1, mandatory course
DBMAB-120 (P720-0016) Mechanical Engineering / Production Technology, Bachelor, ASPO 01.10.2024
, study year 1, mandatory course
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The total student study time for this course is 150 hours.
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Recommended prerequisites (modules):
DBMAB-110 Mathematics for Industrial Engineers 1
[updated 13.03.2023]
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Recommended as prerequisite for:
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Module coordinator:
Prof. Dr.-Ing. Jan Christoph Gaukler |
Lecturer: Prof. Dr.-Ing. Jan Christoph Gaukler
[updated 11.06.2021]
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Learning outcomes:
After successfully completing this module, students will be familiar with mathematical computational techniques and be able to apply them to individual mathematical problems. These calculation techniques will also be applied to examples from physics and technology. Students will be able to apply second-order linear differential equations in vibration theory. They will be able to apply the chain rule in forming partial derivatives of functions in several variables and calculate partial derivatives - even for implicit functions. Students will have mastered the arithmetic operations of matrices and be able to apply arithmetic rules for determinants. They will be able to solve linear systems of equations according to the Gaussian algorithm.
[updated 28.04.2023]
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Module content:
• Second-order linear differential equations and their application in vibration theory • Functions in several variables: partial derivative, partial and complete differential, chain rule, derivative of implicit functions, extrema • Matrices and determinants: Matrices, arithmetic operations with matrices, rank of a matrix, inverse matrix, determinants, arithmetic rules for determinants • Linear systems of equations and the Gaussian algorithm
[updated 28.04.2023]
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Teaching methods/Media:
Lecture: Lecture, demonstration, group work on concrete problems Exercises: Group work on concrete problems
[updated 28.04.2023]
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Recommended or required reading:
• L. Papula: Mathematik für Ingenieure und Naturwissenschaftler Band 1, Springer Vieweg Wiesbaden • L. Papula: Mathematik für Ingenieure und Naturwissenschaftler Band 2, Springer Vieweg Wiesbaden
[updated 28.04.2023]
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