183.425 Statistical Pattern Recognition
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2021W, VO, 2.0h, 3.0EC
TUWEL

Course evaluation

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VO Lecture
  • Format: Distance Learning

Learning outcomes

After successful completion of the course, students are able to understand and apply basic principles of pattern recognition. The course should enable the students to autonomously select and read pattern recognition literature in order to deepen their knowledge of the field.

Subject of course

Basics of Probability theory. Distributions and random variables. Parameter estimation. Bayes' Theorem. Linear estimators. PCA, SVD. Regression.

Teaching methods

Lecture (blackboard and slides)

Mode of examination

Written

Additional information

Ort und Zeit siehe Aushang

Lecturers

Institute

Examination modalities

Written exam

Course registration

Begin End Deregistration end
10.10.2021 00:00 18.10.2021 00:00

Curricula

Literature

Lecture notes for this course are available.

Previous knowledge

Der vorhergehende Besuch einer Statistik-Vorlesung wird empfohlen. Grundkenntnisse in linearer Algebra (Invertierbarkeit, Rang, lineare Unabhängigkeit) sind von Vorteil.

Miscellaneous

Language

German