Translational Discovery Omics III – Metabolomics, Model Systems, and Precision Medicine
Course content
The aim of the course is to provide the participants with:
i) an overview of the theory and application of metabolomics,
ii) a basic understanding of gut virome and bacterial microbiome research,
iii) examples of model systems to elucidate disease mechanisms, and
iv) an understanding of precision medicine and its clinical applicability.
The main themes covered in the course include:
- Metabolomics
- Gut virome and the bacterial microbiome in health and disease
- Model systems and other translational tools
- Omics techniques in precision medicine
BRIDGE – Translational Excellence Programme
Upon completing the course, participants should be able to:
Knowledge
- Demonstrate an understanding of metabolomics as a tool in health research and have a basic understanding of the potential of model systems.
- Show comprehension of the principles of the human gut virome and bacterial microbiome research.
- Have an awareness of the strengths and limitations of precision medicine across different data types.
Skills
- Critically evaluate results from studies of omics techniques covered in the course.
- Assess the quality and validity of designs for omics-based studies of human diseases.
Competences
- Understand the central aspects of translational omics and be able to discuss and communicate these to other scientists, clinicians, and the public.
The course is organised with a mix of scientific seminars by
invited speakers, including technical lectures about modern
technologies, and participant-led activities. In addition, the
course will include group work, case studies, and practical
exercises.
The course will end with an evaluation, where participants must
reflect on the course learning outcomes and provide feedback for
course development.
The course literature will be listed on Absalon.
Participants must meet the admission criteria of the BRIDGE – Translational Excellence Programme (Fellowship or BRIDGE Omics Programme).
The BRIDGE – Translational Excellence Programme offers a small number of selected PhD graduates:
- a two-year postdoctoral fellowship in translational medicine (BRIDGE Programme)
- a package of three courses in Translational Discovery Omics (BRIDGE Omics Programme)
This course is only available to PhD graduates enrolled in either of the programmes. Fellows and participants are automatically enrolled upon admission to one of the programmes.
For further information about the BRIDGE Programme, please visit the website: www.bridge.ku.dk
For further information about the Omics Programme, please visit the website: www.bridge.ku.dk/about/academic-curriculum/bridgeomics/
- ECTS
- 0 ECTS
- Type of assessment
-
Continuous assessmentRequirement to attend classes
- Type of assessment details
- Attendance and active participation are required.
- Examination prerequisites
-
Participants are automatically registered for the examination upon admission to the BRIDGE – Translational Excellence Programme (Fellowship or BRIDGE Omics Programme).
- Aid
- All aids allowed
- Marking scale
- passed/not passed
- Censorship form
- No external censorship
Criteria for exam assessment
Active contribution and course participation according to the BRIDGE Guidelines and Practicalities.
Part time Master and Diploma courses
- Category
- Hours
- Lectures
- 17
- Class Instruction
- 2
- Preparation
- 3
- Theory exercises
- 2
- English
- 24
Kursusinformation
- Language
- English
- Course number
- SBRI19003U
- ECTS
- 0 ECTS
- Programme level
- Part Time Master
Ph.D.
- Placement
- Autumn
- Schedulegroup
-
See course dates and programme in Absalon.
- Capacity
- 20 participants
- Studyboard
- Study Board for the Professionel Master´s Degree Programmes at The Faculty og Health and Medical Science
Contracting department
- The Novo Nordisk Foundation Center for Basic Metabolic Research
Contracting faculty
- Faculty of Health and Medical Sciences
Course Coordinators
- Tuomas Oskari Kilpeläinen (18-7b7c7674687a35727073776c736870756c75477a7c756b35727c356b72)
- Laura Maarit Pikkupeura (16-71667a776633756e70707a756a7a776645787a736933707a336970)
- Torben Hansen (13-767174646770306a63707567704275777066306d7730666d)
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