- Inter-faculty Studies in Bioinformatics and Systems Biology
- Bachelor's degree, first cycle programme, Computer Science
- Bachelor's degree, first cycle programme, Mathematics
- Master's degree, second cycle programme, Bioinformatics and Systems Biology
- Master's degree, second cycle programme, Computer Science
- Master's degree, second cycle programme, Mathematics
From Hypothesis to Discovery in Infectious Diseases 3900-FHENG-OG
This university-wide course is designed to provide students with interdisciplinary knowledge essential for understanding the research process in the field of infectious diseases. The module integrates theoretical foundations with practical skills, enabling participants to identify key research challenges and select appropriate tools and experimental approaches to formulate and test hypotheses and design scientific studies.
Course structure
The course consists of two complementary components:
1. Lectures:
Delivered by experts in microbiology, molecular biology, host-pathogen interactions, epidemiology, and biostatistics.
Cover fundamental knowledge and the latest scientific advancements in the field.
2. Seminars:
Focus on solving practical research challenges.
Include case study analyses, development of critical thinking, and designing research proposals addressing contemporary challenges in infectious diseases.
Learning outcomes
Upon completion of the course, participants will be able to:
• Assess the significance of selected infectious diseases in both local and global contexts.
• Generate research hypotheses and design research studies using appropriate tools and up-to-date knowledge.
• Collaborate effectively within interdisciplinary teams to propose solutions to health-related issues linked to infectious diseases.
Target audience
The course is tailored to students from diverse fields interested in microbiology, molecular biology, public health, epidemiology, or translational research in infectious diseases.
Type of course
Mode
Course coordinators
Learning outcomes
Knowledge
W_01: The participant knows and understands the principles of selecting advanced research methods and analytical tools used in studies on infectious diseases.
W_02: Understands the process of generating research hypotheses and the stages of their verification in the context of infectious disease research.
W_03: Understands the process of planning scientific studies and experiments, including the selection of methodologies, tools, and strategies for infectious disease research.
W_04: Possesses knowledge of epidemiological data analysis and its interpretation in scientific, clinical, and societal contexts.
Skills
U_01: Can generate research hypotheses based on the analysis of available data and a review of scientific literature on infectious diseases.
U_02: Can select appropriate experimental methods and research tools suitable for proposed hypotheses in infectious disease studies.
U_03: Has the ability to choose the type of analysis and interpret research results using appropriate statistical tools and analytical technologies.
U_04: Can work effectively in an interdisciplinary project team, leveraging the diverse competencies of team members.
U_05: Can prepare and present research findings, effectively communicating their significance to both experts and non-scientific audiences.
Social Competencies
K_01: Understands the importance of interdisciplinary collaboration in scientific research and its key role in solving problems related to infectious diseases.
K_02: Is aware of ethical responsibilities in the context of infectious disease research and its potential impact on society.
Assessment criteria
Attend lectures and seminars (50%).
Group project presentation and report (50%).
Presentation of the group project and submission of the final report.
Bibliography
PMID: 11880963
PMID: 19448609
PMID: 30384974
PMID: 30891554
PMID: 31627013
PMID: 32641488
PMID: 33735068
PMID: 34555163
PMID: 36617553
PMID: 38632643
Additional information
Information on level of this course, year of study and semester when the course unit is delivered, types and amount of class hours - can be found in course structure diagrams of apropriate study programmes. This course is related to the following study programmes:
- Inter-faculty Studies in Bioinformatics and Systems Biology
- Bachelor's degree, first cycle programme, Computer Science
- Bachelor's degree, first cycle programme, Mathematics
- Master's degree, second cycle programme, Bioinformatics and Systems Biology
- Master's degree, second cycle programme, Computer Science
- Master's degree, second cycle programme, Mathematics
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: