188.413 Self-Organizing Systems
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2021W, VU, 3.0h, 4.5EC
TUWEL

Properties

  • Semester hours: 3.0
  • Credits: 4.5
  • Type: VU Lecture and Exercise
  • Format: Distance Learning

Learning outcomes

After successful completion of the course, students are able to 

  • train self-organizing maps
  • select and combine suitable visualization techniques
  • detect patterns in data based on visualizations and generate hypotheses  concerning the cluster structure
  • interpret cluster structures and critically reflect on these
  • recognize application scenarios for genetic algorithms, cellular automata and ant colony systems
  • able to deploy these methods, and understand their parameter optimisation for specific tasks
  • describe the functionality of different swarm intelligence systems and assign them to different problem domains based on their strength and weakness 
  • implement a particle swarm optimization algorithm for a given problem and tune its parameter accordingly
  • understand and reason the basic methodic of swarm robotics as well as its applications 

Subject of course

Unsupervised Learning models, such as self-organizing maps, growing hierarchical structures, cellular automata, ant colony optimisation, ... 

Lecture Dates  winter term 2021/22 (on-line):

  • 7.10.2021: Introduction (Vorbesprechung), https://tuwien.zoom.us/j/93520026084?pwd=TkZuRnpLZlpjYjdWeXJMMmp3ZVR6dz09
  • (further detailed schedule see TUWEL)
    • TBA: Genetic Algorithms, Cellular Automata, Swarms
    • TBA: Multi-Agent Systems
    • TBA: Swarm Systems 1
    • TBA: Swarm Systems 2
    • TBA: SOM 1: Basics, Architecture, Training Process
    • TBA: SOM 2: Visualizations: class distributions, densities, cluster boundaries, topology violations
    • TBA: SOM 3: Visualizations (cont.), Quality Measures,  SOM Comparisons, related Architectures

ECTS/Effort:

Lectures: 8 sessions a 2h: 16h

Literature: 10h

Exercises:

    Ex1: 20h

    Ex2: 20h

    Ex3: 20h

Exam Preparation: 25.5h

Exam: 1h

SUM: 112.5h

Teaching methods

- Lectures (on-line, live-streaming)

- Demos and examples discussed during class

- Assignments to be elaborated in small groups

Mode of examination

Written and oral

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Thu10:00 - 12:0007.10.2021 - 27.01.2022 Zoom, Link is provided in TUWEL (LIVE)Lecture
Self-Organizing Systems - Single appointments
DayDateTimeLocationDescription
Thu07.10.202110:00 - 12:00 Zoom, Link is provided in TUWELLecture
Thu14.10.202110:00 - 12:00 Zoom, Link is provided in TUWELLecture
Thu21.10.202110:00 - 12:00 Zoom, Link is provided in TUWELLecture
Thu28.10.202110:00 - 12:00 Zoom, Link is provided in TUWELLecture
Thu04.11.202110:00 - 12:00 Zoom, Link is provided in TUWELLecture
Thu11.11.202110:00 - 12:00 Zoom, Link is provided in TUWELLecture
Thu18.11.202110:00 - 12:00 Zoom, Link is provided in TUWELLecture
Thu25.11.202110:00 - 12:00 Zoom, Link is provided in TUWELLecture
Thu02.12.202110:00 - 12:00 Zoom, Link is provided in TUWELLecture
Thu09.12.202110:00 - 12:00 Zoom, Link is provided in TUWELLecture
Thu16.12.202110:00 - 12:00 Zoom, Link is provided in TUWELLecture
Thu13.01.202210:00 - 12:00 Zoom, Link is provided in TUWELLecture
Thu20.01.202210:00 - 12:00 Zoom, Link is provided in TUWELLecture
Thu27.01.202210:00 - 12:00 Zoom, Link is provided in TUWELLecture

Examination modalities

- written final exam

- Submission of writen assignments, partially including oral reviews of these assignment

Course registration

Begin End Deregistration end
02.09.2021 00:00 25.10.2021 23:59 24.11.2021 23:59

Curricula

Literature

No lecture notes are available.

Accompanying courses

Continuative courses

Language

if required in English