Shinichi Sunagawa: Catalogue data in Autumn Semester 2022

Name Prof. Dr. Shinichi Sunagawa
FieldMicrobiome Research
Institut für Mikrobiologie
ETH Zürich, HCI F 417
Vladimir-Prelog-Weg 1-5/10
8093 Zürich
Telephone+41 44 633 61 55
RelationshipAssociate Professor

551-1109-00LSeminars in Microbiology0 credits2KS. Sunagawa, W.‑D. Hardt, M. Künzler, J. Piel, J. Vorholt-Zambelli
AbstractSeminars by invited speakers covering selected microbiology themes.
ObjectiveDiscussion of selected microbiology themes presented by invited speakers.
551-1119-00LMicrobial Community Genomics Restricted registration - show details
Number of participants limited to 10.
Prerequisite: Basic knowledge in [R] (e.g. indroductory course) and/or UNIX is required. Participants should bring their own laptop computer.
The enrolment is done by the D-BIOL study administration.
6 credits7PS. Sunagawa
AbstractIntroduction to current research methods in the analysis of microbial communities using Next Generation Sequencing approaches - metagenomics. Practical experience of work in a computational laboratory and an introduction to scientific programming.
ObjectiveGain skills in data analysis and presentation for oral and written reports. Lectures introducing state-of-the-art in respective research areas and community microbiology, which is the target of ongoing research. Start to assess current literature.
Prerequisites / NoticeBasic knowledge in [R] (e.g. indroductory course) and/or UNIX is required. Participants should bring their own laptop computer.
551-1299-00LBioinformatics Restricted registration - show details 6 credits4GS. Sunagawa, P. Beltrao, A. Blasimme, V. Boeva, A. Kahles, C. von Mering, N. Zamboni
AbstractStudents will study bioinformatic concepts in the areas of genomics, metagenomics, proteomics, biological networks, biostatistics and bioethics. Through integrated lectures, practical hands-on sessions and homework assignments, 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.
ObjectiveStudents 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 / NoticeCourse 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.
Subject-specific CompetenciesConcepts and Theoriesassessed
Techniques and Technologiesassessed
Method-specific CompetenciesAnalytical Competenciesassessed
Media and Digital Technologiesassessed
Project Managementfostered
Social CompetenciesCommunicationfostered
Cooperation and Teamworkfostered
Personal CompetenciesAdaptability and Flexibilityfostered
Creative Thinkingassessed
Critical Thinkingassessed
Integrity and Work Ethicsfostered
Self-awareness and Self-reflection fostered
Self-direction and Self-management fostered