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n.BA.BT.Bist1.22HS (Biostatistics 1)
Module: Biostatistics 1
This information was generated on: 28 May 2023
No.
n.BA.BT.Bist1.22HS
Title
Biostatistics 1
Credits
2
Description
Version: 1.0 start 01 August 2022
Study Programme
Biotechnology
Regulations Applicable
RPO, 29 January 2008, School of Life Sciences and Facility Management Academic Regulations, 15 Dec. 2009, Annex for the Bachelor of Biotechnology degree programme
Module Type
X
Compulsory Module
Elective Module
Optional Module
Planned Semester
3rd Semester
Module Coordinator
Caspar Demuth
Telephone / E-Mail
+41 (0)58 934 57 63 /
caspar.demuth@zhaw.ch
Lecturer(s),
Speaker(s),
Associate(s)
Caspar Demuth
Entrance Requirements
Mathematics 1, Mathematics 2
Learning Outcomes and Competencies
Students will
be able to present their own scientific data with descriptive statistics and suitable visualisations in an understandable and correct manner;
be able to formulate hypotheses on questions from the natural sciences and test these with suitable statistical methods and interpret them correctly in the subject-specific context;
be able to apply linear regression in changing subject-specific questions;
know the possibilities and limitations of statistical methods; and
know the most important functions of common statistical tools (e.g. MS Excel, R) in order to deal with statistical questions.
Module Content
Descriptive statistics: position and scatter parameters
Graphical representations and visualisations (scatter diagram, histogram, box plot)
Theoretical distribution functions
Confidence intervals
Inductive statistics: conducting and interpreting parametric hypothesis tests for one and two samples
Linear regression (least square): estimation of model parameters and their statistical errors; testing of model fit and model assumptions. Calibration: calculation, testing and application of linear calibration functions
Multiple linear regression
Nonlinear regression
Follow-up Modules
Biostatistics 2
Methods of Instruction
Face-to-face classes, tasks with model answers, script for independent self-study
Digital Resources
Tasks with model answers, video resources
Lesson Structure / Workload
Contact Hours
28
Guided Self-Study
-
Independent Self-Study
32
Total Workload
60
Classroom Attendance
No
Assessment
Written exam at the end of the semester 100% - e-assessment
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
Comments
-
Course: Biostatistics 1
No.
n.BA.BT.Bist1.22HS.V
Title
Biostatistics 1
Note
No module description is available in the system for the cut-off date of 28 May 2023.