Dates
| weekly | Monday | 18:15 - 19:45 | 12.10.2026 - 29.01.2027 | C 40.106 Konrad-Zuse-Raum |
Curriculum context
report on seminar project (software) (75%)
Resit date: No resit date will be offered to this assessment, because it is didactically inseparably connected with one of the associated courses. A resit will only be possible, if the module is available again.
Organizational information
Registration
Registration does not begin until 02.10.2026 at 08:00. It ends on 12.10.2026 at 23:59.
This course belongs to the cluster "Komplementärstudium".
In this cluster, you have one choice during the lottery phases.
And in the decision phase 3 choices.
Persons
Content
Nachhaltigkeitsorientiert
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
Further information on teaching evaluation: https://www.leuphana.de/en/teaching/quality-management/evaluation/course-evaluation.html