Termine
| wöchentlich | Montag | 18:15 - 19:45 | 12.10.2026 - 29.01.2027 | C 40.106 Konrad-Zuse-Raum |
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Wiederholungstermin: Zu dieser Prüfung wird kein Wiederholungstermin angeboten, da sie didaktisch untrennbar mit einer der zugeordneten Lehrveranstaltungen verbunden ist. Die Wiederholung der Prüfungsleistung ist somit erst bei erneutem Modulangebot möglich.
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Die Anmeldung endete am 12.10.2026 um 23:59 Uhr.
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This course is designed to provide a foundational understanding of statistics with a particular focus on applying statistical concepts to the Kalman filter, which is widely used in fields like signal processing, control systems, and machine learning. The course will cover essential statistical methods and their applications, culminating in the introduction of the Kalman filter and its mathematical framework.Applications for technical, economical and biological systems.
By the end of this course, students will:
1. Understand fundamental concepts in statistics, including probability, distributions, hypothesis testing, and regression.
2. Learn key statistical techniques such as estimation, maximum likelihood, and least squares fitting.
3. Gain an understanding of the Kalman filter, its mathematical foundation, and its application to time-series data.
4. Develop the skills to implement the Kalman filter in practical applications.
Prüfungsinformationen zum Komplementärstudium finden Sie unter: http://www.leuphana.de/college/studium/ks.html
Evaluation
Weitere Informationen zur Lehrevaluation: https://www.leuphana.de/lehre/qualitaetsmanagement/evaluation/lehrveranstaltungsevaluation.html