188.501 Similarity Modeling 1
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2018W, VU, 2.0h, 3.0EC, to be held in blocked form

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VU Lecture and Exercise

Aim of course

Computational media understanding with deep learning, classic machine intelligence and clustering.

Subject of course

  • Low-level feature extraction from audiovisual media
  • Semantic feature modeling
  • Similarity modeling and feature classifciation
  • Performance evaluation and statistical data analysis
  • Examples of applications and advanced topics

Additional information

Pedagogic concept

  • Frame of knowledge transfer with lecture block at the beginning an exam at the end of the lecture
  • Exploration of lecture contents in a lab project in groups of 2-3 students
  • Application of state of the art visualization and seminar methods for enabling student participation during the lecture
  • Application of an open forum for knowledge exchange over groups during the lab course

ECTS Breakdown

Description                       ECTS  Hours
---------------------------------------------
Preparation                       0.04    1.0
Lecture                           0.32    8.0
Preparation of the Group Project  0.04    1.0
Group Project Work                1.88   47.0
Preparation of the Oral Exam      0.70   17.5
Oral Exam                         0.02    0.5
---------------------------------------------
Total                             3.00   75.0

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Thu09:00 - 10:0004.10.2018Seminarraum FAV 01 C (Seminarraum 188/2) Pre-Lecture Meeting
Tue09:00 - 12:0009.10.2018Seminarraum FAV 01 C (Seminarraum 188/2) Lecture
Fri09:00 - 12:0012.10.2018FAV Hörsaal 3 Zemanek (Seminarraum Zemanek) Lecture
Course is held blocked

Examination modalities

Oral exam on lecture contents + lab project

Course registration

Begin End Deregistration end
14.09.2018 00:00 18.10.2018 16:00 18.10.2018 16:00

Curricula

Study CodeObligationSemesterPrecon.Info
066 931 Logic and Computation Mandatory elective
066 932 Visual Computing Mandatory elective
066 935 Media and Human-Centered Computing Mandatory elective
066 936 Medical Informatics Mandatory elective

Literature

List of topics and links in the TUWEL forum

Previous knowledge

Programming in Java and/or Python

Continuative courses

Miscellaneous

Language

English