n.BA.FM.AWAS.11HS (Application of scientific methods and writing) 
Module: Application of scientific methods and writing
This information was generated on: 27 April 2024
No.
n.BA.FM.AWAS.11HS
Title
Application of scientific methods and writing
Managed by
Andrea Kofler
Credits
6

Description

Version: 3.0 start 01 August 2013
Study programme Facility Management
Courses/Weighting
Course Code Course title Weighting
n.BA.FM.Erme.11HS.P Methods of data collection  
n.BA.FM.AnSt.11HS.V Applied statistics 40%
n.BA.FM.SA.11HS.V Semester paper  60%
     
     
     
Status Compulsory module
*Type C Core course/module
Regulations applicable RPO, 29 January 2008, School of Life Sciences and Facility Management Academic Regulations, 15 Dec. 2009, Annex for the Bachelor of Facility Management degree programme, 22 June 2010
Entrance requirements Fundamentals of scientific methods and writing: Scientific methods and writing
Follow-up modules Project work, Bachelor’s thesis
Comments -
Telephone +41 (0)58 934 56 23
Email andrea.kofler@zhaw.ch

*Type:
C Core course/module
R Related course/module
M Minor course/module

 

Note

Course: Applied statistics
No.
n.BA.FM.AnSt.11HS.V
Title
Applied statistics
Managed by
Ivo Kaelin

Description

Version: 3.0 start 01 August 2014
Status Compulsory Course
*Type C Core course/module
Regulations applicable RPO, 29 January 2008, School of Life Sciences and Facility Management Academic Regulations, 15 Dec. 2009, Annex for the Bachelor of Facility Management degree programme
Total workload in lessons
Semester 2. Semester
Lectures 28
Coached selfstudy 10
Autonomous selfstudy 22
Total workload 60
Lecturer(s),
Speaker(s),
Associate(s)		 Ivo Kaelin
Learning outcomes and competencies The students acquire basic knowledge of elementary inferential statistics. They become familiar with the language and way of thinking commonly used in statistics. They learn to gather data in useful ways in experiments and surveys, to ask meaningful questions about this data, and to answer them with appropriate tests.
Course content Evaluative statistics:
  • Binomial and normal distribution as the basis of the theory of probability
  • Selected tests (e.g. t-test)
  • Simple ANOVA
  • Significance and confidence, estimation methods
  • Correlation coefficients
Language of instruction German
Expected attendance -
Assessment Written module exam 100%

If 5 or fewer students take part in a repeat exam, the test can be modified at the request of the lecturers: ie, instead of a written, an oral examination will be held. This requires the written consent of the students. (Please notify the altered examination form to pruefungsadmin.lsfm@zhaw.ch; form can be obtained from the Admissions Office.)
Bibliography Script
Entrance requirements Mathematics for FM - Semester 1
Follow-up courses -
Comments -
Telephone +41 (0)58 934
Email ivo.kaelin@zhaw.ch
*Type:
C Core course/module
R Related course/module
M Minor course/module

Note

Course: Data Collection Methods
No.
n.BA.FM.Erme.11HS.P
Title
Data Collection Methods
Managed by
Andrea Kofler

Description

Version: 3.0 start 01 August 2013
Status Compulsory Course
*Type C Core course/module
Regulations applicable RPO, 29 January 2008, School of Life Sciences and Facility Management Academic Regulations, 15 Dec. 2009, Annex for the Bachelor of Facility Management degree programme, 22 June 2010
Total workload in lessons
Semester 2. Semester
Lectures 14
Coached selfstudy 16
Autonomous selfstudy 30
Total workload 60
Lecturer(s),
Speaker(s),
Associate(s)		 Nils Gersberg, Miriam Schirmer, Andrea Kofler, Thomas Ott, Franziska Honegger, Thomas Leiblein
 
Learning outcomes and competencies Der Kurs Erhebungsmethoden dient der Vermittlung von Grundlagen zur wissenschaftlichen Datenerhebung im Rahmen betrieblicher Problemstellungen im Bereich des Facility Managements.

Dabei sollen insbesondere folgende Kompetenzen gefördert werden:
  • Verstehen und Bewerten wissenschaftlicher Texte und Analysen. Die Studierenden sind in der Lage, die Angemessenheit von Aufbau, Design und Methodik hinsichtlich der untersuchten Fragestellung zu verstehen und zu bewerten.
  • Selbständiges Daten erheben und analysieren. Facility Manager sammeln eine grosse Brandbreite an Informationen aus verschiedenen Quellen, und müssen oft selbst Daten erheben. Die Studierenden werden mit verschiedenen Methoden der Erhebung und Analyse vertraut gemacht und lernen die Ergebnisse zu interpretieren und auf eine angemessene Art darzustellen.
Course content
  • Bewertung und Evaluation von Forschungsprozessen
  • Ausgewählte Erhebungs- und Analyseverfahren:
    - angewandte Statistik mit Excel
    - Befragung standardisiert (quantitativ)
    - Befragung halb / nicht standardisiert (qualitativ)
    - Verhaltensbeobachtung
    - sensorengestützte automatische Beobachtung
  • Wissenstransfer
Language of instruction German
Expected attendance 80%
Assessment Task for certificate/pass or fail

If 5 or fewer students take part in a repeat exam, the test can be modified at the request of the lecturers: ie, instead of a written, an oral examination will be held. This requires the written consent of the students. (Please notify the altered examination form to pruefungsadmin.lsfm@zhaw.ch; form can be obtained from the Admissions Office.)
Bibliography
  • Lecture notes
  • Further reading and course materials will be given to the students during the semester
Entrance requirements Mathematics; scientific working and writing
Follow-up courses Project work
Comments  
Telephone +41 (0)58 934 56 23    
Email andrea.kofler@zhaw.ch

*Type:
C Core course/module
R Related course/module
M Minor course/module

Note

Course: Semester assignment
No.
n.BA.FM.SA.11HS.V
Title
Semester assignment
Managed by
Andrea Kofler

Description

Version: 3.0 start 01 August 2013
Status Compulsory Course
*Type C Core course/module
Regulations applicable RPO, 29 January 2008, School of Life Sciences and Facility Management Academic Regulations, 15 Dec. 2009, Annex for the Bachelor of Facility Management degree programme, 22 June 2010
Total workload in lessons
Semester 2. Semester
Lectures -
Coached selfstudy 6
Autonomous selfstudy 54
Total workload 60
Lecturer(s),
Speaker(s),
Associate(s)		 Supervisors from the FM faculty
 
Learning outcomes and competencies Die Studierenden sind in der Lage eine wissenschaftliche Arbeit selbständig und nach wissenschaftlichen Richtlinien zu erfassen. Die Studierenden sind in der Lage:
  • Literatur zielgerichtet zu recherchieren und zu beschaffen
  • schriftliche Informationen und andere Quellen im wissenschaftlichen Bereich (Fachliteratur) effizient aufzunehmen und kritisch zu reflektieren
  • wissenschaftliche Texte zusammenzufassen (zu exzerpieren und zu paraphrasieren)
  • eine Leitfrage zu formulieren und eine Disposition zu erstellen
  • verschiedene Ansätze und theoretische Überlegungen zu einem Thema zu integrieren
Die Studierenden haben gelernt formale Anforderungen an einen wissenschaftlichen Text selbständig in der Semesterarbeit umzusetzen.
Course content Self-organised work on a question and documentation in the form of a report in accordance with the requirements of a scientific paper. Accordingly, the learning content consists of implementing formal specifications and existing knowledge (scientific work and writing) as well as the reflective writing process and the independent work of planning.
Language of instruction German
Expected attendance -
Assessment Individual written work

If 5 or fewer students take part in a repeat exam, the test can be modified at the request of the lecturers: ie, instead of a written, an oral examination will be held. This requires the written consent of the students. (Please notify the altered examination form to pruefungsadmin.lsfm@zhaw.ch; form can be obtained from the Admissions Office.)
Bibliography Recommended literature for personal study:
  • Esselborn-Krumbiegel, H. (2004). Von der Idee zum Text. Eine Anleitung zum wissenschaftlichen Schreiben. Paderborn: UTB.
  • Franck, N. (2004). Handbuch wissenschaftliches Arbeiten. Frankfurt am Main: Fischer Taschenbuch Verlag.
  • Theissen, M. (2011). Technik, Methodik, Form. München: Vahlen. 15. Auflag.
Entrance requirements Scientific methods and writing

Ability to work with a word processing program (e.g. Microsoft Word, OpenOffice) is assumed
Follow-up courses Project work, Bachelor’s thesis
Comments -
Telephone +41 (0)58 934 56 23              
Email andrea.kofler@zhaw.ch

*Type:
C Core course/module
R Related course/module
M Minor course/module

Note