188.499 Media and Brain 2 Artificial Consciousness
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2024S, VU, 2.0h, 3.0EC, to be held in blocked form

Course evaluation


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

Learning outcomes

After successful completion of the course, students are able to understand the essential connections in the human brain, to estimate under what conditions consciousness starts to exist and to judge the process how communicating centers in the brain create perception.

Subject of course

  • Foundations: Information theory, media theory, mathematical tools, logistics
  • Advanced features: symmetry, self-similarity, etc.
  • Advanced machine learning: neural nets, boundaries of learning, etc.
  • Advanced topics: dynamic systems, measure theory, etc.

Teaching methods

Lecture, paper writing and presentation in groups of students

Mode of examination


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                           0.16    4.0
Preparation of the Group Project  0.04    1.0
Group Project Work                2.04   63.0
Preparation of the Oral Exam      0.70   17.5
Oral Exam                         0.02    0.5
Total                             3.00   75.0



Course dates

Fri09:00 - 10:0015.03.2024 Seminar room FAV 01 C (Seminar room 188/2)Prelecture meeting
Fri09:00 - 16:0021.06.2024Seminarraum FAV 01 C (Seminarraum 188/2) Seminar
Course is held blocked

Examination modalities

Active participation, quality of authorship, quality of presentation and answering of questions

Course registration

Begin End Deregistration end
15.02.2024 00:00 14.03.2024 00:00 14.03.2024 00:00


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
066 937 Software Engineering & Internet Computing Mandatory elective


List of topics and links in the TUWEL forum

Previous knowledge

Basic understanding of pattern recognition

Preceding courses