Work in Progress: Engineering Math With Early Bird

Sabina Jeschke (), Olivier Pfeiffer () and Erhard Zorn ()
Additional contact information
Sabina Jeschke: RWTH Aachen University, IMA/ZLW
Olivier Pfeiffer: Technische Universität Berlin, School of Mathematics and Natural Sciences, Institue of Mathematics, Center for Multimedia in Education and Research
Erhard Zorn: Technische Universität Berlin, School of Mathematics and Natural Sciences, Institue of Mathematics, Center for Multimedia in Education and Research

A chapter in Automation, Communication and Cybernetics in Science and Engineering 2011/2012, 2013, pp 371-374 from Springer

Abstract: Abstract Mathematics is the most important discipline for engineering students besides their own subject – and it is constantly required in engineering freshmen lectures. Sometimes, mathematical content is needed in engineering lectures before it has been taught in the mathematics classroom. Thus, the engineering teachers often have to do mathematical excurses that are ineffective and unsatisfying, both for the students and the teachers. A propaedeutic dedicated to mathematical studies only, cannot be implemented within the current study regulations. Moreover, it would contradict the engineers' wish for a rapid identification with the “real” engineering subject to increase the students' motivation. Therefore, we introduced EARLY BIRD to overcome this deficiency. In EARLY BIRD I freshmen can benefit of their time between high school graduation and their enrollment at the university to attend Calculus I and Linear Algebra classes. In EARLY BIRD II Calculus II classes are offered during the winter semester break.

Date: 2013
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-33389-7_29

Ordering information: This item can be ordered from
http://www.springer.com/9783642333897

DOI: 10.1007/978-3-642-33389-7_29

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().