Universität Wien

040005 VO Mathematics 1 (2024W)

6.00 ECTS (3.00 SWS), SPL 4 - Wirtschaftswissenschaften
MIXED
Moodle
Fr 22.11. 15:00-16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß

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Details

Language: German

Examination dates

Lecturers

Classes (iCal) - next class is marked with N

Parts of the lecture will be given in the form of videos (which can be watched any time autonomously). The on-site sessions (see list of dates) are a kind of "flipped clasroom" sessions where the contents of the videos can be discussed and questions can be posed. To profit best from the on-site sessions active participation (posing questions) would be necessary. All lectures will stay on the Moodle page during the semester. On site presence is not mandatory. The Moodle page will be available around beginning of November.

  • Wednesday 20.11. 16:45 - 18:15 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Thursday 28.11. 15:00 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Friday 29.11. 15:00 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Wednesday 04.12. 15:00 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Monday 09.12. 15:00 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Thursday 12.12. 15:00 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Wednesday 08.01. 15:00 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Wednesday 15.01. 15:00 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Wednesday 22.01. 15:00 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß

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 forms

Methods: In the lecture the theory will be presented and some basic examples will be explained. In the accompanying exercises class "UE Übungen zu Mathematik 1, 4 ECTS, 2 SSt. (pi)" the students will get homework which deepens and supplements the theory. The solutions will be presented by students in the Exercises class .

Assessment and permitted materials

Written digital exam. 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.
INFORMATION for EC Betriebswirtschaftliche Methoden: This is a Fachprüfung with slightly less content. Please read the information 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

* Slides and videos of the lecture on Moodle

The following literature might be useful additionally to the lecture:

* 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 NIG )

* Ingolf Terveer: Mathematik für Wirtschaftswissenschaften (3. Auflage, UTB-Verlag), ISBN: 978-3-8252-8506-7

Für die Übungen:
* Irene Klein u. Ivana Ljubic: Beispielsammlung zu der Vorlesung Mathematik 1 für Studierende der Betriebs- und Volkswirtschaftslehre (erhältlich im Facultas-Shop)

Association in the course directory

Last modified: We 20.11.2024 15:05