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Mathematics 1

Module name (EN):
Name of module in study programme. It should be precise and clear.
Mathematics 1
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
Mechanical and Process Engineering, Bachelor, ASPO 01.10.2019
Module code: MAB_19_A_1.04.MA1
SAP-Submodule-No.:
The exam administration creates a SAP-Submodule-No for every exam type in every module. The SAP-Submodule-No is equal for the same module in different study programs.
P241-0271
Hours per semester week / Teaching method:
The count of hours per week is a combination of lecture (V for German Vorlesung), exercise (U for Übung), practice (P) oder project (PA). For example a course of the form 2V+2U has 2 hours of lecture and 2 hours of exercise per week.
2V+2U (4 hours per week)
ECTS credits:
European Credit Transfer System. Points for successful completion of a course. Each ECTS point represents a workload of 30 hours.
5
Semester: 1
Mandatory course: yes
Language of instruction:
German
Assessment:
Written exam 120 min.


[updated 05.10.2020]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

MAB_19_A_1.04.MA1 (P241-0271) Mechanical and Process Engineering, Bachelor, ASPO 01.10.2019 , semester 1, mandatory course
MAB_24_A_1.04.MA1 Mechanical and Process Engineering, Bachelor, ASPO 01.10.2024 , semester 1, mandatory course
Workload:
Workload of student for successfully completing the course. Each ECTS credit represents 30 working hours. These are the combined effort of face-to-face time, post-processing the subject of the lecture, exercises and preparation for the exam.

The total workload is distributed on the semester (01.04.-30.09. during the summer term, 01.10.-31.03. during the winter term).
60 class hours (= 45 clock hours) over a 15-week period.
The total student study time is 150 hours (equivalent to 5 ECTS credits).
There are therefore 105 hours available for class preparation and follow-up work and exam preparation.
Recommended prerequisites (modules):
None.
Recommended as prerequisite for:
MAB_19_A_2.04.MA2 Mathematics 2
MAB_19_A_2.07.ELT Electrical Engineering für Mechanical Engineering und Process Engineering
MAB_19_A_3.02.THE
MAB_19_A_4.02.WFL Heat Transfer and Fluid Mechanics
MAB_19_M_5.17.AUM Automation Technology in Mechanical Engineering
MAB_19_V_5.16.AUV Automation Technology in Process Engineering


[updated 04.10.2024]
Module coordinator:
Prof. Dr. Marco Günther
Lecturer:
Dipl.-Math. Christian Leger


[updated 10.03.2020]
Learning outcomes:
After successfully completing this module, students will have a basic technical and methodological command of mathematics in order to understand engineering methods.
 
They will be familiar with vector calculus and its applications to problems in geometry and mechanics. They will be able to carry out simple calculations using the methods of linear algebra and analysis with regard to applications in mechanical engineering/process technology. Students will be able to solve simple mathematical problems using a software tool.

[updated 05.10.2020]
Module content:
Vector calculus, linear systems of equations, matrices, differential- integral calculus with a variable, Taylor series, curves, introduction to a mathematical software tool like Octave/Matlab, wxMaxima

[updated 05.10.2020]
Teaching methods/Media:
Lecture, tutorials, exercises;
Blackboard, handouts, transparencies, examples, exercises

[updated 05.10.2020]
Recommended or required reading:
H.-J. Bartsch: Taschenbuch mathematischer Formeln für Ingenieure und Naturwissenschaftler
L. Papula: Mathematik für Ingenieure und Naturwissenschaftler, Band 1+2
W.Preuß, G.Wenisch: Mathematik 1
J.Koch, M.Stämpfle: Mathematik für das Ingenieurstudium


[updated 05.10.2020]
 
[Thu Nov 21 11:56:41 CET 2024, CKEY=mm1, BKEY=m2, CID=MAB_19_A_1.04.MA1, LANGUAGE=en, DATE=21.11.2024]