# 186.840 Introduction to Pattern Recognition This course is in all assigned curricula part of the STEOP.\$(function(){PrimeFaces.cw("Tooltip","widget_j_id_20",{id:"j_id_20",showEffect:"fade",hideEffect:"fade",target:"isAllSteop"});});This course is in at least 1 assigned curriculum part of the STEOP.\$(function(){PrimeFaces.cw("Tooltip","widget_j_id_22",{id:"j_id_22",showEffect:"fade",hideEffect:"fade",target:"isAnySteop"});}); 2021W 2020W 2019W 2018W 2017W 2016W 2015W 2014W 2013W 2012W 2011W

2018W, UE, 2.0h, 3.0EC

## Properties

• Semester hours: 2.0
• Credits: 3.0
• Type: UE Exercise

## Aim of course

The aim of this exercise is to deepen the understanding of the theory on pattern recognition taught in the related lecture (186.844). Problems in pattern recognition should be solved single-handed with the help of Jupyter Notebooks in Python.

## Subject of course

Feature extraction, basics of probability theory (conditional probabilities, marginal distributions, independence, covariance matrices, etc.), Bayes theorem, simple classifiers (kNN, nearest neighbor, persceptron, etc.)

## Course dates

DayTimeDateLocationDescription
Mon15:00 - 17:0001.10.2018 EI 10 Fritz Paschke HS186.840 Introduction

## Examination modalities

Four Assigments have to be solved single-handed in Jupyter Notebooks in Python. In addition, a report has to be written explaining the solution and results.

ECTS distribution:

1. Assignment: 0,3 ECTS
2. Assignment: 0,9 ECTS
3. Assignment: 0,9 ECTS
4. Assignment: 0,9 ECTS

## Group dates

GroupDayTimeDateLocationDescription
EFME GruppeTue10:00 - 12:0002.10.2018 - 22.01.2019Informatiklabor Zelda 186.840 Introduction to Pattern Recognition EFME Gruppe
EFME GruppeFri11:00 - 13:0005.10.2018 - 18.01.2019Informatiklabor Zelda 186.840 Introduction to Pattern Recognition EFME Gruppe

## Course registration

Begin End Deregistration end
31.08.2018 00:00 19.10.2018 17:00 30.10.2018 17:00

## Group Registration

GroupRegistration FromTo
EFME Gruppe17.09.2018 12:0013.10.2018 23:59

## Curricula

Study CodeSemesterPrecon.Info
033 532 Media Informatics and Visual Computing 5. Semester
Course requires the completion of the introductory and orientation phase
033 533 Medical Informatics
Course requires the completion of the introductory and orientation phase
033 535 Computer Engineering
Course requires the completion of the introductory and orientation phase
066 453 Biomedical Engineering

## Literature

No lecture notes are available.

German