Allgemeine Informationen
| Veranstaltungsname | Seminar: Machine Learning in Health Care |
| Semester | SS 2020 |
| Aktuelle Anzahl der Teilnehmenden | 5 |
| erwartete Teilnehmendenanzahl | 9 |
| Heimat-Einrichtung | Prof. Dr. Jens Brunner - Health Care Operations / Health Information Management |
| Veranstaltungstyp | Seminar in der Kategorie Lehre |
| Teilnehmende | The course is limited to 9 students. Therefore an application is necessary. Please register for the course on Digicampus and apply via the application form of the Chair of Prof. Brunner. From March 9 to April 3 the application form is available here: https://wiki.unika-t.de/Applications_for_Master_degree_courses. We will inform you whether or not you can attend the course after the application period has been finished. |
| Voraussetzungen | (Advanced) Knowledge in mathematics, particularly linear algebra and stochastics; knowledge of a programming language (e.g. Python) is beneficial; interest in health care applications and team work. |
| Lernorganisation | The seminar comprises six sessions (attendance is mandatory) and assignments to each lecture. |
| Leistungsnachweis | Programming assignments, quizzes, group presentations, individual presentations, oral exam. |
| Online/Digitale Veranstaltung | Veranstaltung wird nicht abgehalten. |
| Hauptunterrichtssprache | englisch |
| Literaturhinweise |
- Christopher M. Bishop: Pattern Recognition and Machine Learning. Springer Verlag, 2006. - Andrew Ng: Machine Learning. Stanford University. Online on Coursera: https://www.coursera.org/learn/machine-learning - Google Developers: Machine Learning Crash Course. Online: https://developers.google.com/machine-learning/crash-course - Prashant Natarajan, John C. Frenzel, Detlev H. Smaltz: Demystifying Big Data and Machine Learning for Healthcare. CRC Press, 2017. - Stephen Boyd: Introduction to Applied Linear Algebra - Vectors, Matrices, and Least Squares. Cambridge University Press, 2017. Online: http://vmls-book.stanford.edu/vmls.pdf - Barry M. Wise, Neal B. Gallagher: An Introduction to Linear Algebra. Online: http://www.eigenvector.com/Docs/LinAlg.pdf - Eric Matthes: Python Crash Course. No Starch Press, 2016. - Official Python tutorial. Online: https://docs.python.org/3/tutorial - Interactive Python tutorial. Online: https://www.learnpython.org/ - Other literature will be announced in the course. |
| Sonstiges |
*** This course does not take place. For more Information, please take a look on our homepage https://www.unika-t.de/brunner *** The course is limited to 9 students. Therefore an application is necessary. Please register for the course on Digicampus and apply via the application form of the Chair of Prof. Brunner. From March 9 to April 3 the application form is available here: https://wiki.unika-t.de/Applications_for_Master_degree_courses. We will inform you whether or not you can attend the course after the application period has been finished. |
| ECTS-Punkte | 6 |
