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P&S: Architectures & Algorithms for Health & Life Sciences
Last Updated: 2026-06-03 00:07:41
Abstract
The category of "Laboratory Courses, Projects, Seminars" includes courses and laboratories in various formats designed to impart practical knowledge and skills. Moreover, these classes encourage independent experimentation and design, allow for explorative learning and teach the methodology of project work.
Objective
Recent biotechnological advances enable high-throughput, low-cost, and accurate biological data generation (e.g., using genome sequencing, multimodal medical imaging, continuous wearable sensing). This wealth of data offers unique opportunities to advance healthcare. These opportunities include, but are not limited to, precision medicine, bedside personalized care, discovering early warning signs of communicable diseases, continuous physiological tracking, and enhanced diagnostic capabilities. Despite these opportunities, efficiently analyzing large-scale biological data poses significant challenges for conventional computing systems. These systems often cannot keep up with the high-throughput rate at which data is generated, and they face additional constraints related to energy efficiency, scalability, privacy, and security. To facilitate the wide adoption of recent advances in healthcare, there is a need to optimize the computing systems to enable high-performance, energy-efficient, low-cost, private, and secure analysis of biological data. This course will focus on identifying key computational challenges in health-related applications and discussing how computer architecture and science can contribute to advancing healthcare by addressing these challenges. First, we will provide seminar lectures that summarize (i) current research approaches in computing system designs for healthcare applications and (ii) new trends and bottlenecks in data-intensive healthcare applications. Second, we will suggest practical projects that enable the students to observe these challenges and bottlenecks and focus on optimizing existing methods or innovating new solutions.
General Information
- Language
- English
- Levels
- BSC
- Frequency
- Semesterly recurring
Examination
- Type
- ungraded semester performance
Registration & Places
- Signup Start
- 11.09.2026
- Signup End
- 25.09.2026
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| practical/laboratory course |
P&S: Architectures & Algorithms for Health & Life Sciences
Für den Zugang zum Angebot und zur Einschreibung loggen Sie sich hier ein (mit Ihrem n.ETHZ account):
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To access the offer and to enroll for courses log in (with your n.ethz account):
Please note that the P&S-site is accessible no earlier than two weeks before the start of the semester until four weeks after the start of the semester. Enrollment is only possible from Friday before the start of the semester until noon of the first Friday in the semester.
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No time listed | 4 h weekly |
Offered In
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Laboratory Courses, Projects, Seminars (A minimum of 15 cp must be achieved in the category "Laboratory Courses, Projects, Seminars)
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Projects & Seminars (only for BSc EEIT) (Enrolment is only possible for students in the BSc Electrical Engineering and Information Technology, from Friday before the start of the semester. Places are allocated using the P&S application tool ( ). For more offers, see "Projects & Seminars (open to all)".)
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