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.

2022W, VO, 2.0h, 3.0EC

Properties

Semester hours: 2.0
Credits: 3.0
Type: VO Lecture
Format: Presence

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

Melzer, Thomas

Institute

E193 Institute of Visual Computing and Human-Centered Technology

Course dates

Day	Time	Date	Location	Description
Mon	16:00 - 18:00	03.10.2022 - 23.01.2023	Sem.R. DA grün 02 A (Freihaus, 2test Stock)	Statistische Mustererkennung VO

Show single appointments

Statistical Pattern Recognition - Single appointments

Day	Date	Time	Location	Description
Mon	03.10.2022	16:00 - 18:00	Sem.R. DA grün 02 A (Freihaus, 2test Stock)	Statistische Mustererkennung VO
Mon	10.10.2022	16:00 - 18:00	Sem.R. DA grün 02 A (Freihaus, 2test Stock)	Statistische Mustererkennung VO
Mon	17.10.2022	16:00 - 18:00	Sem.R. DA grün 02 A (Freihaus, 2test Stock)	Statistische Mustererkennung VO
Mon	24.10.2022	16:00 - 18:00	Sem.R. DA grün 02 A (Freihaus, 2test Stock)	Statistische Mustererkennung VO
Mon	31.10.2022	16:00 - 18:00	Sem.R. DA grün 02 A (Freihaus, 2test Stock)	Statistische Mustererkennung VO
Mon	07.11.2022	16:00 - 18:00	Sem.R. DA grün 02 A (Freihaus, 2test Stock)	Statistische Mustererkennung VO
Mon	14.11.2022	16:00 - 18:00	Sem.R. DA grün 02 A (Freihaus, 2test Stock)	Statistische Mustererkennung VO
Mon	21.11.2022	16:00 - 18:00	Sem.R. DA grün 02 A (Freihaus, 2test Stock)	Statistische Mustererkennung VO
Mon	28.11.2022	16:00 - 18:00	Sem.R. DA grün 02 A (Freihaus, 2test Stock)	Statistische Mustererkennung VO
Mon	05.12.2022	16:00 - 18:00	Sem.R. DA grün 02 A (Freihaus, 2test Stock)	Statistische Mustererkennung VO
Mon	12.12.2022	16:00 - 18:00	Sem.R. DA grün 02 A (Freihaus, 2test Stock)	Statistische Mustererkennung VO
Mon	19.12.2022	16:00 - 18:00	Sem.R. DA grün 02 A (Freihaus, 2test Stock)	Statistische Mustererkennung VO
Mon	09.01.2023	16:00 - 18:00	Sem.R. DA grün 02 A (Freihaus, 2test Stock)	Statistische Mustererkennung VO
Mon	16.01.2023	16:00 - 18:00	Sem.R. DA grün 02 A (Freihaus, 2test Stock)	Statistische Mustererkennung VO
Mon	23.01.2023	16:00 - 18:00	Sem.R. DA grün 02 A (Freihaus, 2test Stock)	Statistische Mustererkennung VO

Examination modalities

Written exam

Exams

Day	Time	Date	Room	Mode of examination	Application time	Application mode	Exam
Mon	16:00 - 18:00	03.02.2025	Sem.R. DA grün 02 A - GEO	written	20.01.2025 00:00 - 02.02.2025 23:59	TISS	Statistische Mustererkennung

Course registration

Begin	End	Deregistration end
09.10.2022 00:00	17.10.2022 00:00

Curricula

Study Code	Obligation	Semester
066 421 Geodesy and Geoinformation	Mandatory elective	1. Semester
066 453 Biomedical Engineering	Not specified
066 515 Automation and Robotic Systems	Mandatory elective
066 932 Visual Computing	Mandatory elective
881 Computer Sciences	Mandatory elective

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

Course homepage

Language

German