Number | Title | ECTS | Hours | Lecturers |
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551-1299-00L | Bioinformatics | 6 credits | 4G | S. Sunagawa,
P. Beltrao,
V. Boeva,
A. Kahles,
C. von Mering,
N. Zamboni |
Abstract | Students will study bioinformatic concepts in the areas of metagenomics, genomics, transcriptomics, proteomics, biological networks and biostatistics. Through integrated lectures, practical hands-on exercises and project work, students will also be trained in analytical and programming skills to meet the emerging increase in data-driven knowledge generation in biology in the 21st century. |
Learning objective | Students will have an advanced understanding of the underlying concepts behind modern bioinformatic analyses at genome, metagenome and proteome-wide scales. They will be familiar with the most common data types, where to access them, and how to analytically work with them to address contemporary questions in the field of biology. |
Prerequisites / Notice | Course participants have already acquired basic programming skills in UNIX, Python and R.
Students bring their own computer with keyboard, internet access (browser) and software to connect to the ETH network via VPN. |
Competencies | Subject-specific Competencies | Concepts and Theories | assessed | | Techniques and Technologies | assessed | Method-specific Competencies | Analytical Competencies | assessed | | Decision-making | assessed | | Media and Digital Technologies | assessed | | Problem-solving | assessed | | Project Management | fostered | Social Competencies | Communication | fostered | | Cooperation and Teamwork | fostered | Personal Competencies | Adaptability and Flexibility | fostered | | Creative Thinking | assessed | | Critical Thinking | assessed | | Integrity and Work Ethics | fostered | | Self-awareness and Self-reflection | fostered | | Self-direction and Self-management | fostered |
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