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Module Number:
| 14104
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| Module Title: | Biomedical Information Science |
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Biomedizinische Informationswissenschaften
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| Department: |
Faculty 2 - Environment and Natural Sciences
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| Responsible Staff Member: | -
Dr. rer. nat. habil. Rödiger, Stefan
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| Language of Teaching / Examination: | English |
| Duration: | 1 semester |
| Frequency of Offer: |
Every winter semester
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| Credits: |
6
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| Learning Outcome: | The module include practical projects in biomedical informatics and data science to apply the learned concepts. It also covers ethical aspects and responsible handling of working with medical data. Upon completing the Bachelor course students will be able to
- Understand the fundamental concepts and principles of biomedical information science, including the structure and function of biological systems, and the role of information technology in healthcare.
- Analyze and interpret biomedical data (e.g., genomic, proteomic, and imaging data) using computational tools and statistical methods.
- Fundamentals of design and develop healthcare information systems, including electronic health records, telemedicine systems, and personalized medicine applications.
- Apply data mining and get introduced to machine learning techniques to biomedical data to identify patterns, predict outcomes, and inform decision-making.
- Evaluate the effectiveness and efficiency of healthcare information systems, including their impact on patient outcomes, healthcare costs, and healthcare quality.
- Communicate complex biomedical information effectively to diverse audiences, including healthcare professionals, patients, and policymakers.
- Apply ethical and legal principles to the design, development, and deployment of healthcare information systems, including issues related to data privacy, security, and informed consent.
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| Contents: | Part 1: Introduction to Biomedical Information Science
Part 2: Biomedical Data Analysis
Part 3: Healthcare Information Systems
Part 4: Data Mining and Machine Learning in Biomedicine
Part 5: Evaluation of Healthcare Information Systems
Part 6: Ethics and Policy in Biomedical Information Science
Part 7: Communication and Collaboration in Biomedical Information Science
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| Recommended Prerequisites: | none |
| Mandatory Prerequisites: | none |
| Forms of Teaching and Proportion: | -
Lecture
/ 4 Hours per Week per Semester
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Self organised studies
/ 120 Hours
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| Teaching Materials and Literature: | - Introduction to Biomedical Data Science by Robert Hoyt and Robert Muenchen
- Data Handling and Analysis (Fundamentals of Biomedical Science) by Andrew Blann, second edition
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| Module Examination: | Prerequisite + Final Module Examination (MAP) |
| Assessment Mode for Module Examination: | Prerequisite:
- Project Presentation (in pairs, 15 min) and report (every individual, around 20 pages) ungraded
Final Modul Examination:
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| Evaluation of Module Examination: | Performance Verification – graded |
| Limited Number of Participants: | None |
| Part of the Study Programme: | -
Bachelor (research-oriented) /
Life Science and International Health /
PO 2025
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| Remarks: | online lecture |
| Module Components: | - Lecture / 4 Hours per Week per Semester
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| Components to be offered in the Current Semester: | |
