Moses - Agent-based modeling (ABM)

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Diese Modulbeschreibung gilt nicht im aktuellen Semester.

Die Modulbeschreibung gilt nur für den Zeitraum WS 2019/20 - SoSe 2021. Die Version für das aktuelle Semester (SoSe 2024) finden Sie hier: Modulbeschreibung des SoSe 2024

Module / Version:
#30737 / #3

Validity:
WS 2019/20 - SoSe 2021

Default display language:
English

Module title:
Agent-based modeling (ABM)

Credits:
6

Responsible person:
Hellweger, Ferdinand Leberecht

Grading:
benotet

Type of exam:
Portfolioprüfung

Zugehörigkeit

Faculty:
Fakultät III

Institute:
Institut für Technischen Umweltschutz

Area of expertise:
33331300 FG Wasserreinhaltung

Prüfungsausschuss:
MSc Technischer Umweltschutz

Kontakt

Office:
KF 4

Contact person:
Lackner, Carsten

E-mail address:
ferdi.hellweger@tu-berlin.de

Website:
No information

Learning Outcomes

The students: - have understanding of basic principles of ABM and other modeling methods (e.g. cellular automata, individual-based modeling), available software, computational strategies (e.g. up-scaling, agent accounting), model development, model calibration and testing, and model application. - have experience in independently designing, implementing and applying an ABM. The module´ s qualification profile is: 40% knowledge and understanding, 20% development and design, 20% research and evaluation, 20% application in practice

Content

- IV: Introduction and motivation of ABM, basic principles, comparison to other methods (e.g. cellular automata, individual-based modeling), available software, computational strategies (e.g. up-scaling, agent accounting), model development, model calibration and testing, and model application. - UE: Hands on exercises using NetLogo

Module Components

Pflichtgruppe:

All Courses are mandatory.

Course Name	Type	Number	Cycle	Language	SWS	VZ
Agent-based modeling (ABM)	IV	0333 L 670	WiSe	English	2
Agent-based modeling (ABM)	UE	0333 L 671	WiSe	English	2

Workload and Credit Points

Agent-based modeling (ABM) (IV):

Workload description	Multiplier	Hours	Total
Attendance	15.0	2.0h	30.0h
Pre/post processing	15.0	2.0h	30.0h
			60.0h(~2 LP)

Agent-based modeling (ABM) (UE):

Workload description	Multiplier	Hours	Total
Attendance	15.0	2.0h	30.0h
Pre/post processing	15.0	3.0h	45.0h
			75.0h(~3 LP)

Course-independent workload:

Workload description	Multiplier	Hours	Total
Prüfungsvorbereitung	1.0	45.0h	45.0h
			45.0h(~2 LP)

The Workload of the module sums up to 180.0 Hours. Therefore the module contains 6 Credits.

Description of Teaching and Learning Methods

This module utilizes IV (lectures and discussions) and PR (project and lab) teaching methods. In the PR the students design, implement and apply a NetLogo ABM to a problem of their choice.

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

none

Mandatory requirements for the module test application:

This module has no requirements.

Module completion

Grading

graded

Type of exam

Portfolio examination

Type of portfolio examination

100 Punkte insgesamt

Language

English

Test elements

Name	Points	Categorie	Duration/Extent
Exam	35	written	60 min
Homeworks	20	written	ca. 1/week
Term project presentation	20	oral	ca 12 min
Term project report	25	written	10 pages

Grading scale

Notenschlüssel »Notenschlüssel 6: Fak III (2)«

Gesamtpunktzahl	1.0	1.3	1.7	2.0	2.3	2.7	3.0	3.3	3.7	4.0
100.0pt	90.0pt	85.0pt	80.0pt	75.0pt	70.0pt	66.0pt	62.0pt	58.0pt	54.0pt	50.0pt

Test description (Module completion)

Portfolio examination Each part will be graded individually using a grading rubric and can have a maximum of 100 points. The points will be weighted based on the following and then added.

Duration of the Module

The following number of semesters is estimated for taking and completing the module:
1 Semester.

This module may be commenced in the following semesters:
Wintersemester.

Maximum Number of Participants

This module is not limited to a number of students.

Registration Procedures

The registration for the exam ist done via the Prüfungsamt.

Recommended literature
"Agent-based and Individual-based Modeling: A Practical Introduction" by Railsback and Grimm (2012)
"NetLogo User Manual" by Uri Wilensky (2015), http://ccl.northwestern.edu/netlogo/docs/
"Agent-Based Models (Quantitative Applications in the Social Sciences)" by Nigel Gilbert
"Cities and Complexity: Understanding Cities with Cellular Automata, Agent-Based Models, and Fractals" by Michael Batty
"Individual-based Modeling and Ecology" by Volker Grimm and Steven F. Railsback
"Managing Business Complexity: Discovering Strategic Solutions with Agent-Based Modeling and Simulation" by Michael J. North and Charles M. Macal
"The Complexity of Cooperation: Agent-Based Models of Competition and Collaboration" by Robert Axelrod
Individual-based Models and Approaches in Ecology" by Donald L. DeAngelis and Louis J. Gross, Editors

Assigned Degree Programs

Semester:

Zeige auch ausgelaufene Studiengänge und StuPOs

This module is used in the following Degree Programs (new System):

	Studiengang / StuPO	StuPOs	Verwendungen	Erste Verwendung	Letzte Verwendung
This module is not used in any degree program.

Miscellaneous

No information

Agent-based modeling (ABM)