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n.BA.FM.DaInf2.19HS (Data and Information 2)
Module: Data and Information 2
This information was generated on: 29 May 2023
No.
n.BA.FM.DaInf2.19HS
Title
Data and Information 2
Credits
4
Description
Version: 4.0 start 01 August 2022
Study Programme
Facility Management
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
ModuleType
X
Compulsory Module
Elective Module
Optional Module
Planned Semester
2nd Semester
Module Coordinator
Marcel Janser
Telephone / E-Mail
+41 (0)58 934 55 07 /
marcel.janser@zhaw.ch
Lecturer(s),
Speakers(s),
Associate(s)
Other internal lecturers and presenters
Entrance Requirements
Daten und Informationen 1
Learning Outcomes and Competencies
This module has two parts: a empiric-methodical part as well as a theoretic-statiscial part
The empric methodical part addresses strategies for answering research questions and hypotheses in student inquiry projects. It addresses the systematic approaches to professional data inquiry and analysis. The students will be able to …
select a suitable research design with appropriate inquiry methods
develop data collection tools for selected methods
define sampling for quantitative and qualitative research approaches
identify the opportunities for data access
explicify ethical aspects of selected methods and research appraoches
demonstrate qualitative and quantitative data analysis and interpret the results.
The theoretic-statistical part considers the approaches of formal data analysis. The students will be able to:
apply basic data science concepts in EXCEL and R
differentiate and select appropriate explorative and konfirmative approaches for a given research problem
formulate research questions and hypotheses and validate their internal consistency
identify and verify correlations through empirical tests
define and validate simple empirical models and systems
estimate measurement errors and the data quality
make evidence-based statements and take decisions
Module Content
Structure and approaches for the systematic (scientific) data inquiry and analysis
Selected empirical and analytical methods
quantitative Interviews
qualitative Surveys
Observations
sensor-based automatic Monitoring
Knowledge-transfer into the professional domain of FM
Explorative and confirmative methods
Research questions and hypotheses
Distributions and sampling
correlations
Models and systems
Errorestimation
Evidence-based statements and decision making
Follow-up Modules
Projektarbeit und Projektmanagement
Methods of Instruction
Lectures with assignments
Digital Workshop: Tool usage
Case-based inquiry methods
Discussions and brainstormings
Exercises for methods and tools
Activities in the Moodle virtual classroom
Digital Resources
Moodle course
Classroom Attendance Requirement
no
Assessment
Written Exam at the end of the semester (e-assessment): 20%
Graded written exercises (electronic): 80%
If there is a low number of participants, the lecturer may change the form of a repeat examination after consultation with the head of the study programme: e.g. an oral examination can be used to replace a written one. Please report any changes to the form of examinations by e-mail to
pruefungsadmin.lsfm@zhaw.ch
and Cc. Head of study programme.
Language of Instruction
German
Compulsory Reading
-
Recommended Reading
Sauer, S. (2019). Moderne Datenanalyse mit R. Daten einlesen, aufbereiten, visualisieren, modellieren und kommunizieren. Springer Gabler.
Wickham, H. (2021). ggplot2, Use R! Cham, CH: Springer Nature. https://ggplot2-book.org/
Döring, N. & Bortz, J. (2016). Forschungsmethoden und Evaluation in den Sozial- und Humanwissenschaften. Springer.
Comments
-
-
Notes
This module description is due to be replaced by a new version as of 01 August 2023.
Additional available versions:
1.0 start 01 August 2019
,
2.0 start 01 August 2020
,
3.0 start 01 August 2021
Course: Data and Information 2
No.
n.BA.FM.DaInf2.19HS.V
Title
Data and Information 2
Note
No module description is available in the system for the cut-off date of 29 May 2023.