M. Eng. Wood Technology / Holztechnik - Hochschule für Architektur ...

Master Wood Technology
Module Catalogue / Modulhandbuch
1.1. Module group MG – Basics in Mathematics and Sciences
(Mathematisch- naturwissenschaftliche Grundlagen)
Module group coordinator:
Prof. Dr.-Ing. Frieder Scholz
Type of degree
Studiengang
Distribution of Modules
Semesterlage
Core Learning Objectives
Lernziel Schwerpunkt
Module MG 01 – Advanced Mathematics
Module Coordinator
Modulverantwortlicher
Lecturers/ Tutors
Referenten
Location/ Term
Durchführung des Moduls
Credit Points (ECTS) 5
Number of Lectures
Anzahl der Vorlesungen
Total Workload
Distribution of Hours
Gesamtworkload
Aufteilung der Stunden
Pre-requisites fort he Module
Modulvoraussetzungen
Learning Objectives
Lernziele
Contents
Inhalt
Master Programme in Wood Technology
from the University for Applied Sciences Rosenheim (HS Ro) jointly with the
Bern University of Applied Sciences (BFH) in Biel/Bienne
Modules of the module group are spread over the 1 st and 2 nd terms
Students will familiarize themselves with the basics in mathematics and
science required for carrying out and evaluating experiments as well as
analyses later on in the field of activity of an engineer.
Professor Dr. Walter Häussler
Tel.: +49 (0)8031 805 422
Email: walter.haeussler@fh-rosenheim.de
Professor Dr. Walter Häussler
at the University Rosenheim in the winter term
2 contact hours/week seminar-type teaching
2 contact hours/week tutorials and self-directed study
150 hours, of which
� 60 contact hours
� 90 hours preparation and follow-up work at home, exam preparation
Admittance to the Master Programme of Wood Technology,
fundamental knowledge of mathematics
Learning goal:
Understanding rounding errors and limited accuracy of numerical methods •
assessing algorithmic variants with respect to their use, performance and
reliability of results.
Competence:
Knowledge of selected numerical algorithms and insight into the necessity of
approximate solutions of a given problem • understanding the limits of
numerical methods.
� representation of numbers, rounding errors, error analysis
� iterative solution of zeroes of nonlinear equations
� matrix- and vectornorms
� iterative solution of eigenvectors
� direct and iterative solution of linear systems of equations
� iterative solution of nonlinear systems of equations
� interpolation, approximation and Fourier transforms
� numerical integration and differentiation
� numerical solution of ordinary and partial differential equations
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