Inhalt

[ INBIPVOANLS ] VL Analysis

Versionsauswahl
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Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS B2 - Bachelor's programme 2. year Mathematics Carsten Schneider 2 hpw Johannes Kepler University Linz
Detailed information
Original study plan Bachelor's programme Computer Science 2021S
Objectives The students get the ability to become acquainted with a deep mathematical theory, more precisely with the classical theory of real functions in one variable. In doing so, the participants get a fundamental understanding of the different working techniques and tactics in analysis. In particular, the already learned proving capabilities are deepened. The analysis is a central ingredient in the technical sciences. Basic knowledge will be learned in order to guarantee an effective collaboration with engineers in industry. In the lecture the students will learn important tools that are relevant, e.g., for the analysis of algorithms (best case, worst case, average case) or that play an important role, e.g., in computer graphics.
Subject Real numbers and their computability, sequences and series, power series and the definition/computation of non-trivial functions, continuous functions, differential and integral calculus.
Criteria for evaluation Written exam.
Methods Blackboard lecture together with detailed lecture notes.
Language German
Study material M. Obergruggenberger, A. Ostermann: Analysis für Informatiker, Springer-Verlag; F. Bornemann: Konkrete Analysis für Studierende der Informatik, Springer-Verlag.
Changing subject? No
Corresponding lecture (*)INBPBVOMAT1: VO Mathematik 1 (Analysis) (4,5 ECTS)
On-site course
Maximum number of participants -
Assignment procedure Direct assignment