551-1299-00L Bioinformatics
| Semester | Autumn Semester 2023 |
| Lecturers | S. Sunagawa, P. Beltrao, V. Boeva, A. Kahles, C. von Mering, N. Zamboni |
| Periodicity | yearly recurring course |
| Language of instruction | English |
Courses
| Number | Title | Hours | Lecturers | |||||||
|---|---|---|---|---|---|---|---|---|---|---|
| 551-1299-00 G | Bioinformatics Lecture: Mo 12-14 Exercises: Mo 14-16 | 4 hrs |
| S. Sunagawa, P. Beltrao, V. Boeva, A. Kahles, C. von Mering, N. Zamboni |
Catalogue data
| 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 |
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Performance assessment
| Performance assessment information (valid until the course unit is held again) | |
Performance assessment as a semester course | |
| ECTS credits | 6 credits |
| Examiners | S. Sunagawa, P. Beltrao, V. Boeva, A. Kahles, C. von Mering, N. Zamboni |
| Type | session examination |
| Language of examination | English |
| Repetition | The performance assessment is offered every session. Repetition possible without re-enrolling for the course unit. |
| Mode of examination | written 150 minutes |
| Additional information on mode of examination | Students can take quizzes to evaluate their learning progress. The results may increase their final grade by up to 0.25 marks. Participation is not required to pass the course. The highest mark for the course can be achieved without taking the quizzes. |
| Written aids | None |
| Digital exam | The exam takes place on devices provided by ETH Zurich. |
| This information can be updated until the beginning of the semester; information on the examination timetable is binding. | |
Learning materials
| Moodle course | Moodle-Kurs / Moodle course |
| Only public learning materials are listed. | |
Groups
| No information on groups available. |
Restrictions
| Places | 100 at the most |
| Priority | Registration for the course unit is until 11.09.2023 only possible for the primary target group |
| Primary target group | Computational Science and Engineering MSc (438000)
Interdisciplinary Sciences MSc (507000) Biochemistry - Chemical Biology MSc (513000) Interdisciplinary Sciences (Phys. Chem.) BSc (531000) Interdisciplinary Sciences (Biochem. Phys.) BSc (531100) Biochemistry - Chemical Biology BSc (534000) Biology BSc (552300) Biology MSc (562000) Doctorate Biology (564002) Doctorate Biology ETH-UZH (565000) |
| Waiting list | until 17.09.2023 |