Fit for Math
Graz University of Technology
Trailer for Fit for Math
- Module 1: Sets and numbers
- Module 2: Logic
- Module 3: Fractions
- Module 4: Linear and quadratic equations
including equations involving absolute values and inequalities
- Module 5: Functions
- Module 6: Vectors
- Module 7: Differential calculus
For details on module 7, please see "ECTS credits" below.
The iMoox course Fit for Math serves as a mandatory preparation course for the TU Graz course of the same name. Both, online course and lecture, together are a special offer for freshmen of the TU Graz to check and refresh their own skills and abilities in the subject of mathematics, so that the transition and start into their studies run as smoothly as possible. Together with the already conducted Mathe-Kompass, they form a comprehensive mathematical starter package, which is not only suitable for prospective students of Graz University of Technology, but is generally aimed at all those who are interested in mathematical content.
Basic knowledge of the high school mathematics curriculum.
For active participation in the course, an automated certificate of participation will be issued upon completion, which includes your username, the course name, the course duration, and the amount of work involved. It should be noted that this is only a confirmation stating that the user has correctly answered at least 75% of the self-assessment questions asked.
This work is licensed under a CC BY 4.0
NOTE: The MOOC is, of course, open to the public and free to access.
However, this MOOC is offered as part of the course "Fit for Math" at Graz University of Technology (TU Graz) for first-year students of the winter semester. In order to participate in the course, it is necessary that you are registered at TU Graz and that you register for this course there. If you are registered at TU Graz, you do not need an additional registration, on this MOOC platform, but you can log in with your TU Graz registration data (registration with eduID).
As a prerequisite for the positive completion of the lecture, it is necessary that you have first completed the self-assessment questions of modules 1 to 6 with 75% success each in this MOOC. Module 7 (Differential Calculus) is not mandatory for the course, but can (but does not have to) be completed additionally on a voluntary basis. The actual (electronic) examination for the course takes place at the TU Graz at the beginning of October. In case of a positive completion of the course, you will receive the certificate with the corresponding ECTS.
For further information, please refer to the course description (follows) or to your curriculum itself.
Students who start their studies in the summer semester can participate in a study group at TU Graz in February 2023 (without ECTS credits). It is led by students and, similar to the course in September, offers the opportunity to deepen the content from the Fit for Maths MOOC with accompanying exercise examples on site.
The study group starts on 07 February 2023 and is offered twice a week over three weeks. Registration and all further information: see TeachCenter (access with your TUGRAZonline data).
Philipp Sprüssel studied mathematics at the University of Hamburg and received his doctorate there in 2010. Before coming to Graz as a university assistant in 2012, he spent one year in Oxford and Haifa (Israel) each. Since 2019, he has been working at TU Graz as a Senior Lecturer and is involved in numerous courses. His research areas are probabilistic, enumerative and analytical combinatorics.
This MOOC also involved the collaboration of:
- Franz Lehner
- Christoph Aisleitner
Franz Lehner studied Technical Mathematics at the Johannes Kepler University Linz and did his PhD at the Universite Pierre et Marie Curie (Paris 6). After several years abroad, he has worked at TU Graz since 2001 and is Associate Professor since 2011. His scientific interests include spectral theory and non-commutative probability theory in the border area between functional analysis and combinatorics.
Christoph Aistleitner studied Technical Mathematics at TU Vienna from 2001-2006, followed by doctoral studies at TU Graz from 2006-2008. He then worked at various universities in Austria and abroad, including in Australia and Japan. He has worked at TU Graz since 2016. His fields of work are analysis, number theory and probability theory.
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