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247-0112-00L 2 Credits NDS , WBZ D-ITET , D-INFK
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Computer Vision Basics

Lecturers & Examiners: Prof. Dr. Ender Konukoglu
VVZ CR n/a

Last Updated: 2026-02-05 16:30:11

Abstract

This module will cover basic theoretical knowledge on visualrecognition systems of the last two decades, mostly focusing on themost recent advancements in deep learning and convolutional neuralnetworks.

Objective

Participants understand basic concepts of visual regonition and human-computer interaction systems.

Content

The content starts with an introduction to neural networks and then focuses on how they are used for computer vision tasks. The theoretical knowledge will be supported with a practical session that will allow participants to gain hands-on experience with most commonly used tools and deepen their understanding of the key concepts with examples.

General Information

Language
English
Levels
NDS , WBZ
Frequency
Yearly recurring

Examination

Type
graded semester performance
Written exam, 120 minutesRepetition of a failed exam is possible immediately after the CAS (usually before the end of February). Dates are to be negotiated directly with the lecturer(s) in question. If you do not take the repetition exam or fail again, the module and thus the whole CAS are considered as failed.

Registration & Places

Priority: Registration for the course unit is only possible for the primary target group

Course Components

Type Title Time & Place Hours
lecture Computer Vision Basics
Permission from lecturers required for all students. Block course 06.12.24 / HG D7.2 (Exam)
  • 25.10 Date 08:15-17:00 (HG D 7.2)
  • 26.10 Date 08:15-13:00 (HG D 7.2)
  • 06.12 Date 08:15-17:00 (HG D 7.2)
21 h semesterly

Offered In