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Applied Cognitive Modelling

6 LP


#50453 / #4

Seit WS 2017/18

Fakultät V

MAR 3-2

Institut für Psychologie und Arbeitswissenschaft

35324200 FG Kognitive Modellierung in dynamischen Mensch-Maschine-Systemen

Rußwinkel, Nele

Rußwinkel, Nele

POS-Nummer PORD-Nummer Modultitel
18500 12053 Applied Cognitive Modelling
2348853 41158 Applied Cognitive Modelling

Learning Outcomes

The aim of this module (formerlly MuSiMMS) is to acquire a deeper understanding about the possibilities and boundaries of cognitive modeling and to simulate human information processing in dynamic human-machine-interaction. To this end, theoretical approaches about human information processing and the implementation and application of simulation/modelling methods will be examined. Along with the necessary cognitive science principles the students learn about the different levels and advantages of diverse modeling methods and their relevance to current research topics in the simulation of human cognitive performance. The focus will be set to the best known and most commonly used cognitive architecture ACT-R. The modeling project furthers the transfer of learned principles into actual modeling experience. Furthermore, students will be enabled to evaluate and compare different modeling approaches to interpret the gain of the method used. The project will enable the students to outline a concept, to implement the concept and in the end to evaluate it based on an applied question.


Foundations: Modeling of human information processing, Resource limitations, implementation of computational models, formal description systems (e.g. production systems) plausibility check of model approaches and results. Modeling approaches: Formal Methods of human machine interaction research (Task analyses methods, different modelling methods, methods for linking devices to models), form methods of cognitive science (cognitive architectures), Model validation with experimental data. Current research topics: Multitasking and task interruption, processing of spatial and temporal information, individual differences, Embodiment, Usability evaluation. Student project: Modeling specific aspects of information processing in human-machine-interaction

Module Components


All Courses are mandatory.

Course Name Type Number Cycle Language SWS
Modellierung und Simulation in Mensch-Maschine-Systemen IV 0532 L 030 WS German 4

Workload and Credit Points

Modellierung und Simulation in Mensch-Maschine-Systemen (IV):

Workload description Multiplier Hours Total
Preparation and follow-up 15.0 8.0h 120.0h
time in class 15.0 4.0h 60.0h
180.0h(~6 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 is an integrated concept. In the lecture part important concept of cognitive science and foundational knowledge about different modeling methods and tools will be learned. These concepts will be expanded by examples from the literature. Some topics will be acquired by student presentations. In the associated Tutorial the theoretical concepts will be learned and realized in actual model exercises. This transfer feeds into the realization of a larger project in the second half term where students will model, simulate and evaluate a specific aspect of cognitive processing in a human machine interaction example.

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

a) mandatory: for students BSc-Ing. Modul "Psychologie für Ingenieure und Ingenieurinnen"; for students BSc-Psych. Modul "Ingenieurwissenschaften für Psychologen und Psychologinnen" b) preferable: Modul "Kognitionspsychologie"

Mandatory requirements for the module test application:

No information

Module completion



Type of exam:

Portfolio examination



Typ of portfolio examination

100 points in total

Test elements

Name Points Categorie Duration/Extent
Homework 20 8 homeworks
Modelling Project 130 10 to 15 pages written description of the project
Presentation 50 60 min

Grading scale

This exam uses its own grading scale (see test description).

Test description (Module completion)

The final grade will have the following components: Modelling projekt: 65% Presentation of a specific modelling topic : 25% Homework: 10% The maximal achievable amount of points is 100 point, for the grades the following schema is used: Grades: 95,0 until 100,0 points ... 1,0 90,0 until 94,9 points ..... 1,3 85,0 until 89,9 points ..... 1,7 80,0 until 84,9 points ..... 2,0 75,0 until 79,9 points ..... 2,3 70,0 until 74,9 points ..... 2,7 65,0 until 69,9 points ..... 3,0 60,0 until 64,9 points ..... 3,3 55,0 until 59,9 points ..... 3,7 50,0 until 54,9 points ..... 4,0 0,0 until 49,9 points ....... 5,0

Duration of the Module

This module can be completed in one semester.

Maximum Number of Participants

The maximum capacity of students is 20.

Registration Procedures

Registration at is mandatory. Students, that choose this class in Wahlpflichtbereich, and registered students (E-Mail) are given priority.

Recommended reading, Lecture notes

Lecture notes

Availability:  unavailable

Electronical lecture notes

Availability:  unavailable


Recommended literature
No recommended literature given.

Assigned Degree Programs

Zurzeit wird die Datenstruktur umgestellt. Aus technischen Gründen wird die Verwendung des Moduls während des Umstellungsprozesses in zwei Listen angezeigt.

This module is used in the following modulelists:

Students of other degrees can participate in this module without capacity testing.

Wahlpflichtmodul im Bereich Grundlagenorientierte Vertiefungen of the Masterprogram "Human Factors".

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

    Students of other degrees can participate in this module without capacity testing.

    Wahlpflichtmodul im Bereich Grundlagenorientierte Vertiefungen of the Masterprogram "Human Factors".


    This module is offered each winter term.