040005 VO Mathematics 1 (2021W)
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Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
Details
Language: German
Examination dates
- Friday 28.01.2022 15:00 - 17:30 Digital
- Friday 25.02.2022 15:00 - 17:30 Digital
- Friday 29.04.2022 08:00 - 10:30 Digital
- Friday 01.07.2022 13:15 - 15:45 Digital
Lecturers
Classes (iCal) - next class is marked with N
The lecture will take place digital (asynchron) and blocked in the time perod 23.11.2021-14.1.2022. Digital lectures, further material and detailed info can be found on the Moodle-page of the lecture which will be available around November 10. The videos of lectures are available until September 2022 and can be watched any time after their release. There will be some Live-Sessions to pose questions about the videos to the lecturers, check our Moodle page. Concerning the exercises: there will be the possibility to do the execises class in the summer semester as well. The videos for the lecture will be available in the summer via this winter semester's (WS 21/22) Moodle page of the lecture.
- Tuesday 23.11. 18:30 - 20:00 Digital
- Wednesday 24.11. 16:45 - 18:15 Digital
- Thursday 25.11. 15:00 - 16:30 Digital
- Monday 29.11. 18:30 - 20:00 Digital
- Tuesday 30.11. 15:00 - 16:30 Digital
- Tuesday 30.11. 18:30 - 20:00 Digital
- Thursday 02.12. 15:00 - 16:30 Digital
- Friday 03.12. 15:00 - 16:30 Digital
- Monday 06.12. 18:30 - 20:00 Digital
- Thursday 09.12. 15:00 - 16:30 Digital
- Friday 10.12. 15:00 - 16:30 Digital
- Friday 10.12. 16:45 - 18:15 Digital
- Monday 13.12. 15:00 - 16:30 Digital
- Tuesday 14.12. 15:00 - 16:30 Digital
- Tuesday 14.12. 16:45 - 18:15 Digital
- Thursday 16.12. 15:00 - 16:30 Digital
- Friday 17.12. 15:00 - 16:30 Digital
- Monday 10.01. 18:30 - 20:00 Digital
- Wednesday 12.01. 15:00 - 16:30 Digital
- Thursday 13.01. 18:30 - 20:00 Digital
- Friday 14.01. 15:00 - 16:30 Digital
Information
Aims, contents and method of the course
Aims: students learn basic quantitative methods for applications in business and economics. The mathematical tools will be applied in exercises in the Exercises class that takes place parallel to the lecture.Contents: one-dimensional analysis: sequences and series, real functions in one variable, continuity, some special functions such as exponential function and logarithm, differentiability and derivatives, study and sketching of curves, convexity and concavity, Taylor series, first and second order criteria for local extrema, introduction to integration theory, antiderivative, calculation of areas with integrals. Linear algebra: vectors, matrices, linear (in)dependence, inner product, euclidian norm, orthogonality of vectors, determinants of matrices, inverse matrix, introduction to systems of linear equations, eigen-values and eigen-vectors, definiteness of matrices, quadratic formsMethods: In the lecture the theory will be presented and some basic examples will be explained. The students will get homework for the Execises class which deepen and supplement the theory. The solutions will be presented by students in the Exercises class "UE Übungen zu Mathematik 1, 4 ECTS, 2 SSt. (pi)" .
Assessment and permitted materials
Written digital exam. Date 1: 28.1. 2022, Date 2: 25.2.2022. Date 3 and 4 during the summer term (will be announced). Important fact: separate registration for the exam is necessary, please note the deadlines for registration! Detailed information about the digital exam can be found one week before the exam date on the moodle-page of the corresponding exam. You get access to this moodle page about one week before the exam date IF (and ONLY IF) you are registered for this exam. Please READ THE INFO about the exam on the Moodle-page of the exam one week BEFORE THE DATE of the exam.
Minimum requirements and assessment criteria
A maximum of 60 points can be reached in the digital exam. Necessary points for a positive grade: 25.
Examination topics
Everything that is covered in the lecture, moreover everything that is covered in the exercises.
Reading list
The following literature might be helpful as additional reading:* Knut Sydsæter u. Peter Hammond: Mathematik für Wirtschaftswissenschaftler (3. oder 4. Auflage, Pearson Studium Verlag), ISBN: 3-8273-7223-2
* Immanuel Bomze: “Skriptum zu der Vorlesung Mathematik 1 für Studierende der Betriebs- und Volkswirtschaftslehre” (erhältlich im Facultas-Shop OMP1 Erdgeschoß) oder online :
https://www.facultas.at/item/Mathematik_1/Bomze_Immanuel/50020688?back=dd048bf6879cb108cd56837cce92242e* Ingolf Terveer: Mathematik für Wirtschaftswissenschaften (3. Auflage, UTB-Verlag), ISBN: 978-3-8252-8506-7Für die Übungen:
* Irene Klein u. Ivana Ljubic: “Beispielsammlung zu der Vorlesung Mathematik 1 für Studierende der Betriebs- und Volkswirtschaftslehre” (erhältlich im Facultas-Shop OMP1 Erdgeschoß oder online:https://www.facultas.at/list?back=135f46f2ff2366290069abca52126f61&xid=38423580
* Immanuel Bomze: “Skriptum zu der Vorlesung Mathematik 1 für Studierende der Betriebs- und Volkswirtschaftslehre” (erhältlich im Facultas-Shop OMP1 Erdgeschoß) oder online :
https://www.facultas.at/item/Mathematik_1/Bomze_Immanuel/50020688?back=dd048bf6879cb108cd56837cce92242e* Ingolf Terveer: Mathematik für Wirtschaftswissenschaften (3. Auflage, UTB-Verlag), ISBN: 978-3-8252-8506-7Für die Übungen:
* Irene Klein u. Ivana Ljubic: “Beispielsammlung zu der Vorlesung Mathematik 1 für Studierende der Betriebs- und Volkswirtschaftslehre” (erhältlich im Facultas-Shop OMP1 Erdgeschoß oder online:https://www.facultas.at/list?back=135f46f2ff2366290069abca52126f61&xid=38423580
Association in the course directory
Last modified: Fr 12.05.2023 00:12