n.BA.BT.Bist1.22HS (Biostatistics 1)
Module: Biostatistics 1
This information was generated on: 29 February 2024
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
 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