186.840 Introduction to 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.

2020W, UE, 2.0h, 3.0EC
TUWEL

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: UE Exercise
  • Format: Distance Learning

Learning outcomes

After successful completion of the course, students are able to design, realize, and evaluate simple pattern recognition systems, in particular regression, binary and multiclass classification, and clustering.

Subject of course

  • Design of pattern recognition systems
  • Features: extraction, selection, reduction, PCA
  • Regression and classification, k-Nearest Neighbors
  • Bayes theorem
  • Linear discriminants, Perceptron
  • Neural networks
  • Decision trees
  • Markov models
  • Evaluation of pattern recognition systems
  • Clustering

Teaching methods

  • Assignments are completed individualy
  • Assignments are solved in Python using Jupyter notebooks
  • Lecture slides and additional documentation will be provided
  • TUWEL is used to distribute materials and to coordinate the administration of this UE and the associated VO

Mode of examination

Written

Lecturers

Institute

Examination modalities

Students can achieve a total of 100 points from 4 assignmentsThe grading is based on the toal amount of points.


Course registration

Begin End Deregistration end
04.09.2020 00:00 23.10.2020 17:00 03.11.2020 17:00

Curricula

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

Literature

No lecture notes are available.

Accompanying courses

Miscellaneous

Language

German