700.292 (21S) Simulating Swarm Intelligence
Überblick
Weitere Informationen zum Lehrbetrieb vor Ort finden Sie unter: https://www.aau.at/corona.
- Lehrende/r
- LV-Titel englisch Simulating Swarm Intelligence
- LV-Art Kurs (prüfungsimmanente LV )
- LV-Modell Onlinelehrveranstaltung
- Semesterstunde/n 2.0
- ECTS-Anrechnungspunkte 3.0
- Anmeldungen 17
- Organisationseinheit
- Unterrichtssprache Englisch
- mögliche Sprache/n der Leistungserbringung Englisch
- LV-Beginn 02.03.2021
- eLearning zum Moodle-Kurs
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Anmerkungen
If you want to join the lecture after March 3, please send me an email.
Zeit und Ort
LV-Beschreibung
Intendierte Lernergebnisse
Are you interested in swarms and bio-inspired algorithms?
Curious how complex system behavior emerges from many individuals with simple rules?
Want to simulate such systems, visualize them and gain insight into how they work?Don't want to or unable to go to a lecture IRL this semester?
Then this course is for you!DAY & TIME: Tuesday, 17:00 - 18:30 (Austria time)
You will get basic knowledge in swarm intelligence by applying agent-based modeling/simulation methods.
After the course, you will
- be able to model, code, and run a simulation of a swarm system using the simulation platform Netlogo
- be able to do some simple(!) evaluations of the simulation using the statistics software R
- have experience with the complete simulation lifecycle from modeling to running and evaluating multiple simulation runs.
All software used in this course is free and runs on Windows, Mac, and Linux.
Lehrmethodik inkl. Einsatz von eLearning-Tools
Online instruction only.
Live online lectures, pre-recorded videos, readings, online discussions.
Individual work: students first study existing models and later model, code, run, and evaluate their own simulations.
Online presentation of student projects.
Inhalt/e
- Swarm Intelligence
- Simulation methods
- Agent-based simulation
- Netlogo platform and language
- Using Netlogo library models
- Simple evaluation methods with the R statistics package
- Modeling and coding your own simulation
Erwartete Vorkenntnisse
Basic knowledge of programming in any language.
This course is suitable for bachelor, master, and PhD students.
Literatur
Bill Rand, Fundamentals of Netlogo Tutorial @ Complexity Explorer (free, sign-up required): https://www.complexityexplorer.org/courses/84-fundamentals-of-netlogo
Jennifer Badham, Agent-Based Modelling for the Self Learner (free pdf eBook): http://research.criticalconnections.com.au/ABMBook/ABMtutorial.pdf
Netlogo User Manual: https://ccl.northwestern.edu/netlogo/docs/
Venables, Smith & R Core Team, An Introduction to R (free pdf eBook): https://cran.r-project.org/doc/manuals/R-intro.pdf
Prüfungsinformationen
Beurteilungsschema
Note BenotungsschemaPosition im Curriculum
- Masterstudium Information and Communications Engineering (ICE)
(SKZ: 488, Version: 15W.1)
-
Fach: Information and Communications Engineering: Supplements (NC, ASR)
(Wahlfach)
-
Wahl aus dem LV-Katalog (Anhang 4) (
0.0h VK, VO, KU / 14.0 ECTS)
- 700.292 Simulating Swarm Intelligence (2.0h KS / 3.0 ECTS)
-
Wahl aus dem LV-Katalog (Anhang 4) (
0.0h VK, VO, KU / 14.0 ECTS)
-
Fach: Information and Communications Engineering: Supplements (NC, ASR)
(Wahlfach)
- Masterstudium Information and Communications Engineering (ICE)
(SKZ: 488, Version: 15W.1)
-
Fach: Information and Communications Engineering: Supplements (NC, ASR)
(Wahlfach)
-
Wahl aus dem LV-Katalog (Anhang 4) (
0.0h VK, VO, KU / 14.0 ECTS)
- 700.292 Simulating Swarm Intelligence (2.0h KS / 3.0 ECTS)
-
Wahl aus dem LV-Katalog (Anhang 4) (
0.0h VK, VO, KU / 14.0 ECTS)
-
Fach: Information and Communications Engineering: Supplements (NC, ASR)
(Wahlfach)
- Masterstudium Information and Communications Engineering (ICE)
(SKZ: 488, Version: 15W.1)
-
Fach: Free Electives
(Freifach)
-
Free Electives (
0.0h XX / 6.0 ECTS)
- 700.292 Simulating Swarm Intelligence (2.0h KS / 3.0 ECTS)
-
Free Electives (
0.0h XX / 6.0 ECTS)
-
Fach: Free Electives
(Freifach)
Gleichwertige Lehrveranstaltungen im Sinne der Prüfungsantrittszählung
-
Wintersemester 2020/21
- 700.292 KS Simulating Swarm Intelligence (2.0h / 3.0ECTS)