Universität Wien

390023 VK A Primer in Mathematics for Business Economics (2011W)

Continuous assessment of course work

Registration:
This class belongs to the PhD-Management winter semester 2011 study program. For technical reasons final registration will take place on the first day of class. Students must send an email stating their interest in participating to: elke.pendl@univie.ac.at before August 8, 2011.

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

max. 50 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

Monday 05.09. 10:00 - 13:00 Hörsaal 6
Tuesday 06.09. 10:00 - 13:00 Hörsaal 9
Wednesday 07.09. 10:00 - 13:00 Hörsaal 6
Thursday 08.09. 10:00 - 13:00 Hörsaal 6
Friday 09.09. 10:00 - 13:00 Hörsaal 6
Monday 12.09. 10:00 - 13:00 Hörsaal 6
Tuesday 13.09. 10:00 - 13:00 Hörsaal 6
Wednesday 14.09. 10:00 - 13:00 Hörsaal 6
Thursday 15.09. 10:00 - 13:00 Hörsaal 6
Friday 16.09. 10:00 - 13:00 Hörsaal 6
Monday 19.09. 10:00 - 13:00 Hörsaal 6
Tuesday 20.09. 10:00 - 13:00 Hörsaal 6
Wednesday 21.09. 10:00 - 13:00 Hörsaal 6
Thursday 22.09. 10:00 - 13:00 Hörsaal 6
Friday 23.09. 10:00 - 13:00 Hörsaal 6

Information

Aims, contents and method of the course

Outline of topics:
Review of Basic Concepts of Algebra.
Economic Applications of Graphs and Equations.
The Derivative and the Rules of Differentiation.
Uses of the Derivative.
Calculus of Multivariable Functions.
Exponential and Logarithmic Functions.
The Fundamentals of Linear (or Matrix) Algebra.
Matrix Inversion.
Special Determinants and Matrices.
Comparative Statics and Concave Programming.
Integral Calculus: The Indefinite Integral.
Integral Calculus: The Definite Integral.
The Calculus of Variations.
Optimal Control Theory.

Possible additions:
First-Order Differential Equations.
First Order Difference Equations.

Assessment and permitted materials

The course offers no ECTS-credits for the PhD-management program. It exclusively provides a service for incoming PhD-students.

Minimum requirements and assessment criteria


Who should attend the course and why:

With increasing academic specialization, professionalization of the training of young researchers, and national/international mobility, students with diverse backgrounds enter the PhD-Management program. E. g. they differ regarding their previous fields of studies and even disciplines, have obtained their qualifying academic degree in different systems of higher education, and may have spend considerable time in jobs outside academia after obtaining this qualifying degree. Hence, this class is designed to prepare students for enrolment in the core courses of the PhD-Management study program. It reviews the fundamental mathematical methods employed in quantitative business research.
The course offers no ECTS-credits for the PhD-management program. It exclusively provides a service for incoming PhD-students. Potential participants should check the below topic list. If they judge themselves to possess sound knowledge of these topics, there is no need to enroll in this class; if not, they must review these methods before entering the program. In this case, participating in this class will be very helpful.

Examination topics

Every class session will be divided into a lecture part and an exercise part. During the exercise part, students present their solutions of take-home assignments that will be given daily. Students who, upon be called up by the lecturer, decline to present their solutions will be asked to leave the class.

Reading list

There exist numerous appropriate text books on mathematical methods for business and economics. They will all (more or less) proceed along the course outline provided above. Students should choose a text book that suits their individual learning style best. One of such text books is:
Edward T. Dowling, Schaum's Outline of Mathematical Methods for Business and Economics, McGraw-Hill, 2010, (ISBN 0071635327 / 9780071635325).

Association in the course directory

Last modified: Mo 07.09.2020 15:46