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n.BA.AD.BiEp.24HS (Biostatistics and Epidemiology) 
Module: Biostatistics and Epidemiology
This information was generated on: 12 November 2025
No.
n.BA.AD.BiEp.24HS
Title
Biostatistics and Epidemiology
Credits
4

Description

Version: 1.0 start 01 August 2024

 

Study Programme Applied Digital Life Sciences
Regulations Applicable RPO, 29 January 2008, School of Life Sciences and Facility Management Academic Regulations, 15 Dec. 2009, Annex for the Bachelor of Applied Digital Life Sciences degree programme
Module Type  
X Compulsory Module    Elective Module    Optional Module
Planned Semester 6th Semester
Module Coordinator Prof. Dr. Maria Anisimova
Telephone / E-Mail +41 (0)58 934 58 82 / maria.anisimova@zhaw.ch
Lecturer(s),
Speaker(s),
Associate(s)		 Prof. Dr. Maria Anisimova and further lecturers
Entrance Requirements Statistik und Wahrscheinlichkeit, Statistische Modellierung und Simulation
Learning Outcomes and Competencies Technical skills:

The students will
  • become familiar with the central concepts in biostatistics, epidemiology, genetics, and statistical design of studies for health and disease
  • formulate the relevant research question, define a research plan and relevant hypotheses using a real epidemiological or health data, and perform first descriptive statistical analyses
  • plan and perform surveys, systematic reviews and meta-studies in the context of health and disease
  • understand and construct suitable epidemiological and clinical study designs, based on relevant measures of effect
  • be able to choose and apply relevant biostatistical and epidemiological research methods for the analysis of epidemics (pandemics) and disease outbreaks data
  • interpret the results of statistical analyses in the context of health and genetics; draw appropriate conclusions from the results of epidemiological and health studies
 
Transferable skills:

The students will learn how to
  • prepare research summaries and concise research reports
  • structure scientific reports (motivation, methods, results conclusions), discuss of their own research to their peers and provide constructive feedback
  • communicate scientific results clearly and effectively
  • scripting in R and visualization in the context of biostatistics, health and epidemiology
Module Content
  • Creating research summaries and concise
 research reports
  • Structuring scientific reports (motivation, methods, results, conclusions), discussing personal research with fellow students and providing constructive feedback
  • Communicating scientific results clearly and effectively
  • Writing scripts in R and creating visualizations in the fields of biostatistics, health and epidemiology
  • The scientific method and hypothesis testing; analysis of continuous and binary outcomes, confidence intervals in epidemiology and public health, statistical hypothesis tests and sample size calculation, analysis of diagnostic studies, analysis of agreement, odds and relative risks, randomized controlled trials, randomization and blinding, multiplicity, subgroup analysis, principles of survival analysis and confounding, logistic regression.
  • Principle concepts in genetics, epidemiology and public health; types of epidemiological studies (cross-sectional, case-control and cohort studies); efficacy and effectiveness of treatment; randomized clinical trials; risk factors, screening and disease prevention; empirical social research
  • Introduction to genetic epidemiology, linkage and genome association studies (GWAS)
  • Introduction to systematic reviews and meta-analysis for health and research
  • Using a real case studies and data from genetics, public health and epidemiology, students will learn to formulate relevant research questions and statistical hypotheses, choose, and perform appropriate statistical analyses, and present their results
Follow-up Modules -
Methods of Instruction  Mixed: Lectures, flipped classroom, group work on case studies and presentations, practical exercise sessions, self-study
Digital Resources Digital materials will be provided on moodle (pdfs of book chapters, scientific articles, datasets, practical exercises, case studies).
Lesson Structure / Workload  
 Contact Hours 56
 Guided Self-Study 14
 Independent Self-Study 50
 Total Workload 120
Classroom Attendance Yes
Assessment Written exam at the end of the semester 60%
Experience grade 40%

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  English
Comments -

 

Course: Biostatistics and Epidemiology
No.
n.BA.AD.BiEp.24HS.V
Title
Biostatistics and Epidemiology

Note

  • No module description is available in the system for the cut-off date of 12 November 2025.