| Dozent: | Prof. Dr. Bernd Ulmann |
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Prof. Dr. Hans A. Kestler
Alexander Groß
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| Code: | CS8797.000 |
Vorlesungszeiten und Ankündigung
Inhalt und Themen
Hybrid- und Analogrechner sind Technologien mit großem Potenzial für künftige Applikationen im Bereich des High- Performance Computing und des energieeffizienten Rechnens. Die Vorlesung stellt die grundlegenden Konzepte des Analog- und Hybridrechnens vor und stellt die Hauptunterschiede zur Verwendung von speicherprogrammierten Computern heraus. Die Studierenden erhalten eine Einführung in die Programmierung von Analogrechnern anhand von praktischen Beispielen.
Inhalte:
- Grundlagen des Analog- und Hybridrechnens
- Historie
- Aufbau eines Analog / Hybridrechners
- Die Mathematik des Analogrechnens
- Analogrechnen als Paradigma
- Anwendungen
- FPAAs
Die Kompaktkurs Hybridrechnen beinhaltet eine tägliche Präsenzübung, in der die Studierenden ihre bearbeiteten Übungsblätter mit den Dozenten besprechen.
Die Vor- und Nachbereitung des Kompaktkurs Hybridrechnen wird auf etwa 60 Stunden geschätzt. Dieser Zeitraum beinhaltet das selbstständige bearbeiten der Übungsblätter und Aufarbeitung der Vorlesungsstoffes.
Buch
Analog and Hybrid Computer Programming
Folien
Sonstiges
Wissenschaftlicher Mitarbeiter (m/w/d)
Our paper "A systems biology approach to define mechanisms, phenotypes, and drivers in PanNETs with a personalized perspective" has been published in npj systems biology and applications.
"Supporting SURgery with GEriatric Co-Management and AI (SURGE-Ahead): A study protocol for the development of a digital geriatrician" has been published in PLoS One.
"Self-Assessment of Having COVID-19 With the Corona Check Mhealth App" has been published in IEEE Journal of Biomedical and Health Informatics.
Our first quantum computing paper "Leveraging quantum computing for dynamic analyses of logical networks in systems biology" has been published in Patterns.
Our paper "Unsupervised domain adaptation for the detection of cardiomegaly in cross-domain chest X-ray images" has been published in Frontiers in Artificial Intelligence.
"Vaccine Side Effects in Health Care Workers after Vaccination against SARS-CoV-2: Data from TüSeRe:exact Study" has been published in Viruses-Basel.
"PREDICT-juvenile-stroke: PRospective evaluation of a prediction score determining individual clinical outcome three months after ischemic stroke in young adults – a study protocol" has been published in BMC Neurology.
Our paper "Federated Electronic Data Capture (fEDC): Architecture and Prototype" has been accepted for publiaction in the Journal of Biomedical Informatics.
Our paper "Efficient cross-valdation traversals in feature subset selection" has been published in Scientific Reports.
Our paper "CANTATA - prediction of missing links in Boolean networks using genetic programming" has been published in Bioinformatics.
Our paper "Interaction Empowerment in Mobile Health: Concepts, Challenges, and Perspectives" has been published in the Journal of Medical Internet Research mhealth and uhealth.
Our paper "Identification of dynamic driver sets controlling phenotypical landscapes" has been published in the Computational and Structural Biotechnology Journal.