module handbook for masters program in “cognitive science” · pdf filemodule...

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Module Handbook for Masters Program in “Cognitive Science”

I. Basic Modules

Basic Module 1: Foundations of Cognitive Science

Scheduled for Semester 1

Duration One semester

Contact time 10 SWS / 150h

Self study 210h

Workload 360h

Credit Points 12CP

Exam format

One written exam covering the entire module

Prerequisites none

Requirements for awarding credit

points

Successful completion of requirements for elective lecture courses

(depending on the bachelor or first degree) as well as one written

exam covering the entire module.

Source of grade Written exam: 90min.

Learning objectives The student will learn how cognitive science is understood within its central component disciplines, especially psychology, computer science, biology, linguistics, and philosophy. The student will gain an understanding of how perceptual and cognitive processes function and interact in humans, animals, and artificial systems.

Responsible for module Ghose

Usability in other programs Can be employed in other programs.

Lecture: Perception, Cognition and Knowledge

Format Lecture

Contact time 2 SWS / 30 h

Self study 60 h

Credit points 3 CP

Course type Elective, not for BA

Psychology

Instructor(s) Schmidt, Neuser, Lachmann

Teaching format / group size Lecture / 80

Course achievement Working sheet

Contents Understanding of basic concepts, phenomena, and experimental

paradigms, with a focus on cognitive psychology and cognitive neuroscience.

Prerequisites none

Course is offered Winter Semester

Lecture: Linguistics and Language Processing

Format Lecture


Self study 60 h

Credit points 3 CP

Course type Elective, not for BA Linguistics

Instructor(s) Allen

Teaching format / group size Lecture/ 80


Contents Students will learn foundations of the structure of language, language development, and language processing as understood within the framework of cognitive science.

Prerequisites none


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Lecture: Cognitive Neuroscience and Neurobiology

Format

Lecture

Contact time

2 SWS / 30 h

Self study

60 h

Credit points

3 CP

Course type

Elective, not for BA Biology

Instructor(s) Friauf/ Czernochowski

Teaching format / group size Lecture / 150


Contents The lecture will give profound insights into the basic aspects of brain structure and function. This will cover a broad biological range, from the cellular level down to the molecular and up to the nervous system in total. Neuronal physiology will be a major aspect, including the principles of excitability and synaptic connectivity.

Prerequisites none


Lecture: Analysis of complex systems

Format Lecture


Self study 60 h

Credit points 3 CP

Course type Elective, not for BA

Computer science, choose Zweig or Ebert

Instructor(s) Zweig

Teaching format / group size Lecture


Contents Reading and study of original article in the area of network analysis and complex systems

Adequete use of media

Presentation and discussion in a scientific setting

Prerequisites none

Course is offered

Winter Semester

Lecture: Introduction to Webbased Programming

Format Lecture


Self study 60 h

Credit points 3 CP

Course type Mandatory, not for BA Computer science, for

students without any skills in Computer programming highly recommended, choose Zweig or

Ebert

Instructor(s) Ebert

Teaching form / group size Lecture / 80


Contents The lecture deals with basic programming concepts (algorithms,

data types, control structures) and the basic concepts of object-oriented programming (classes, inheritance). These concepts will be practiced through written exercises and implementation tasks.

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Prerequisites none


Lecture: Philosophy of mind

Format

Lecture

Contact time

2 SWS / 30 h

Self study

60 h

Credit points

3 CP

Course type

Elective, not for BA Social Science, Philosophy

Instructor(s) Neuser

Teaching form / group size Lecture / 20


Contents The lecture will discuss different concepts of mind, in a historical and a systematical view. We will read and study original articles in the field.

Prerequisites none


Basic Module 2: Methods




Self study 210h

Workload 300 h

Credit Points 10 CP

Exam format

Portfolio from all seminars in module (paper with apr. 15 pages)

Prerequisites none

Requirements for awarding of credit points

Successful completion of requirements for all three seminars, as well as a cumulative portfolio of work from those seminars.

Source of grade Grade for the portfolio

Learning objectives The student will develop fundamental skills in computer programming and data analysis with MATLAB, hone skills in scientific writing, develop an understanding of the design and analysis of

experiments, and gain knowledge about the fundamentals of ethics

and philosophy of science and their relevance to cognitive science research.

Responsible for module Neuser


Computational Modeling with Statistics

Format Seminar


Self study 30 h

Credit points 2 CP

Course type Elective

Instructor(s) Franke

Teaching format / group size Seminar / 30

Course achievement Practical exercise

Contents Understanding of the central elements of programming and data analysis with MATLAB; modification of data, visualization of experimental results

Prerequisites none


Exercise: Introduction to Webbased Programming

Format Exercise


Self study 30 h

Credit points 2 CP

Course type Elective (for

students without any programming knowledge highly

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recommended)

Instructor(s) Ebert

Teaching format / group size Exercise / 30


Contents Practical exercises of the contents from the lecture

Prerequisites none


Design and Analysis of Experiments

Format

Seminar

Contact time

2 SWS / 30 h

Self study

90 h

Credit points

4 CP

Course type

Mandatory

Instructor(s) Mayerl



Contents Theoretical foundation and history of quantitative approach to

research, fundamentals of experimental design, practical aspects of experiment preparation and procedure, analysis of experimental data

Prerequisites none


Analyzing and Modeling of cognitive processes

Format Seminar

Contact time

2 SWS / 30 h

Self study 60 h

Credit points 4 CP

Course type Mandatory

Instructor(s) Franke

Teaching format / group size Seminar (Reading Course) / 30

Course achievement Active participation

Contents Stochastic behavior analysis, signal processing in neuronal

networks, spectral analysis

Prerequisites none


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II. Advanced Modules

Information: The student must select 3 of the 5 advanced modules. In each of these modules,

the student must take 3 of the elective seminars/lectures to earn a total of 9 Credit Points. In

addition, the student must attend an obligatory Methods Seminar and an obligatory Research

Practicum (total 11 CPs) in each of the selected modules. Exception: In the module

Computation the student earn 12 Credit points in the elective seminars/lectures and 8 Credit

points in the Research Practica. The Research Modules includes totally 20hours participation in

experiments

In total: 3x9 CPs in elective Seminars/lectures and 3x11CPs in obligatory Research Practica

and Methods Seminars = 60 CPs

Advanced Module 1: Perception

Scheduled for Semesters 2-3

Duration Two semesters


Self study 180 h

Workload 270 h

Credit Points 9 CP

Format of exams

One oral exam covering the entire module (15min.)

Prerequisites Successful completion of Basic Modules 1 and 2


Successful completion of requirements for three elective seminars, as well as one oral exam covering the entire module.

Source of grade Oral exam

Learning objectives The student will acquire an advanced understanding of perceptual processes from an interdisciplinary point of view, as well as knowledge of associated research methods.

Responsible for module Schmidt


Seminar: Visual Perception

Format Seminar


Self study 60 h

Credit points 3 CP


Instructor Ghose

Teaching form / group size Seminar / 30


Contents Perception of shape, color, motion, and stereoscopic depth; perceptual

organization; object recognition

Prerequisites none

Course is offered Summer Semester

Seminar: Visual Attention and Awareness

Format

Seminar

Contact time

2 SWS / 30 h

Self study

60 h

Credit points

3 CP

Course type

Elective

Instructor Schmidt



Contents The seminar reviews important models and experimental paradigms in attention and awareness research, using classic and recent original papers.

Prerequisites none

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Seminar: Perception and Action

Format

Seminar

Contact time

2 SWS / 30 h

Self study

60 h

Credit points

3 CP

Course type

Elective

Instructor Schinauer



Contents Spatially oriented behavior and sensorimotor integration

Prerequisites none


Seminar: Psychophysics and Signal Detection

Format Seminar


Self study 60 h

Credit points 3 CP


Instructor Schmidt



Contents The seminar reviews the most important psychophysical models, including signal detection and threshold theories. Special emphasis is on experimental techniques and practical calculation.

Prerequisites none


Seminar: Special Topics in Visual Perception

Format Seminar


Self study 60 h

Credit points 3 CP


Instructor Schmidt/Ghose



Contents The seminar will focus on one topic from the field of visual perception over the course of one semester. Example topics include "unconscious perception", "perception in art", "esthetics", "applied perception", or other topics of special interest.

Prerequisites none


Research and Methods Module


Duration One Semester

Contact time Variable

Self study Variable

Workload 330 h

Credit Points: 11 CP

Form of exams

Presentation of practical work at an annual colloquium (30min.)

Requirements for admittance Successful completion of Basic Modules 1 and 2

Requirements for awarding of

credit points

Successful completion of the Methods Seminar, and successful

presentation of the results of the Research Practicum.

Learning objectives The student will understand basic and some more advanced methods in research related to perception, and will attain practical research skills through participating in research projects.

Responsible for module Schmidt

Usability in teaching Can be employed in other programs.

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Research Practicum for Advanced Module 1: Perception

Format Laboratory Course


Self study Variable

Credit points 9 CP


Instructors Ghose, Schmidt, Schinauer

Teaching form / group size Group assignments

Course achievement Practical work

Contents Group work on a practical research project (e.g. response priming effects) under the supervision of one of the teaching staff.


Course is offered Once per year

Methods Seminar for Advanced Module 1: Perception

Form Seminar


Self study 60 h

Credit points 2 CP


Instructors Schmidt



Contents Essential mathematical and modeling techniques, experimental design, animal and human participant selection and recruitment, development

and preparation of experimental materials, research software (e.g. Experiment Builder), specialized experimental equipment (e.g. response time equipment, eye-tracker), interpretation of experimental results



Advanced Module 2: Cognition and Knowledge

Scheduled for

Semester 2-3

Duration

Two semesters

Contact time

6 SWS / 90 h

Self study

180 h

Workload

270 h

Credit Points

9 CP

Exam format






Learning objectives The student will gain an understanding of human and artificial cognitive structures and processes, the acquisition and structure of human knowledge, and the organization of artificial knowledge - all from an

interdisciplinary point of view. The student will gain an understanding of relevant research methods and paradigms in the areas of cognition and knowledge.

Responsible for module Lachmann

Usability in other programs Master Biology, Master Integrated Social Science

Lecture: Collaborative Intelligence

Form Lecture


Self study 60 h

Credit points 3 CP


Instructor Dengel



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Contents Methods supporting personal knowledge work; organizational

memories; modeling of attention and working context; foundations of Information Retrieval search with respect to mobility,

tasks and interests; agile knowledge workflows and emergent systems; enterprise platforms and social networks; success criteria and evaluation methods

Prerequisites none

Course is offered Summer semester

Other informations Participation in optional exercise sessions is recommended

Seminar: Collaborative Intelligence

Form Seminar


Self study 60 h

Credit points 3 CP


Instructor Dengel



Contents Selected topics in socio-technical knowledge work (see topics for the

course on “Collaborative Intelligence”). Based on a set of publications,

participants are trained in writing scientific (summary) papers and presenting in a quasi-scientific setting. The students are also introduced to the process of paper reviewing. The final presentation will be organized as a one-day-event, where participants of the seminar will present their findings and discuss them with the audience.

Prerequisites Lecture “Collaborative Intelligence”


Seminar: Human Intelligence, Problem Solving and Creative Thinking

Format

Seminar

Contact time

2 SWS / 30 h

Self study

60 h

Credit points

3 CP

Course type

Elective

Instructors Lachmann, Jaarsveld, Schmidt



Contents Convergent and divergent thinking skills in open and closed problem spaces, intelligence, creative production

Prerequisites none

Course is offered Summer Semester (alternating years)

Seminar: Learning and Behavior

Format Seminar


Self study 60 h

Credit points 3 CP


Instructors Lachmann, Schmidt, Schinauer



Contents Behavioral and cognitive theories of animal and human learning, skills and procedural learning, neural basis of learning and behavior, interaction between cognition, motivations and emotions.

Prerequisites none


Seminar: Judgment and Decision-Making

Format Seminar


Self study 60 h

Credit points 3 CP


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Instructor Ghose



Contents Contemporary theory and research in thinking, problem solving,

inference, semantic memory, internal representation of knowledge, imagery, concepts; analysis of experimental studies of human categorization, reasoning, decision making, problem solving, creativity, and related topics

Prerequisites none


Seminar: Human Memory

Format Seminar


Self study 60 h

Credit points 3 CP


Instructors Klatte, Lachmann



Contents Structures and processes in human memory, working memory theories, memory development, memory and attention

Prerequisites none


Seminar: Special Topics in Cognition and Knowledge

Format Seminar


Self study 60 h

Credit points 3 CP


Instructor Lachmann, Klatte, Steinbrink, Schinauer



Contents Special topics on cognition such as (a) working memory research (irrelevant sound effect, phonological loop limitations), (b) intelligence

and creativity (creative reasoning, training of creativity), (c) cognitive dynamics, and others

Prerequisites none



Scheduled for

Semester 3

Duration

1 Semester

Contact time

Variable

Self study

Variable

Workload

330 h

Credit Points

11 CP

Exam format




Successful completion of the Methods Seminar, and successful presentation of the results of the Research Practicum.

Learning objectives The student will understand basic and some more advanced methods in research related to cognition and knowledge, and will attain practical research skills through participating in research projects.



Research Practicum for Advanced Module 2: Cognition and Knowledge



Self study Variable

Credit points 9 CP


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Instructor(s) Ghose, Schmidt, Schinauer

Teaching format / group size Group assignments


Contents Group work on a practical research project (e.g. document analysis,

eye tracking, programming in MATLAB) under the supervision of one of the teaching staff.



Methods Seminar for Advanced Module 2: Cognition and Knowledge

Format Seminar


Self study 60 h

Credit points 2 CP


Instructor Lachmann



Contents Essential mathematical and modeling techniques, experimental design,

participant selection and recruitment, development and preparation of experimental materials, research software (e.g. E-Prime, Experiment Builder), specialized experimental equipment (e.g. response time equipment, eye-tracker, EEG), interpretation of experimental results.

Prerequisites None

Course is offered Once a year

Advanced Module 3 : Language and Linguistics




Self study 180 h

Workload 270 h

Credit Points 9 CP

Exam format






Learning objectives The student will attain an understanding of language and

(psycho)linguistics from an interdisciplinary point of view; as well as knowledge of associated research methods.

Responsible for module Allen


Seminar: Syntax

Format Seminar


Self study 60 h

Credit points 3 CP


Instructors Katsika, Allen


Contents Structural relations between elements in a sentence, syntactic properties, syntactic categories and how they differ from semantic categories, details of and constraints on 'movement' in syntax, extent of shared syntactic properties across all natural languages,

theories of syntactic structure.

Prerequisites none


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Seminar: Psycholinguistics

Format

Seminar

Contact time

2 SWS / 30 h

Self study

60 h

Credit points

3 CP

Course type

Elective

Instructors Allen, Katsika



Contents Theories and mechanisms of language perception, comprehension, and production; relations between language, memory, and other cognitive processes

Prerequisites none


Seminar: Sentence Processing

Format Seminar


Self study 60 h

Credit points 3 CP


Instructor Katsika



Contents Theories and mechanisms of sentence processing in children and adults; cross-linguistic influence in sentence processing of bilinguals; fundamentals of sentence processing methods (priming, self-paced reading, eye tracking, ERP, etc.)

Prerequisites none


Seminar: Language Development

Format

Seminar

Contact time

2 SWS / 30 h

Self study

60 h

Credit points

3 CP

Course type

Elective

Instructors Allen, Family, Katsika


Contents Theories of language development; first and second language acquisition; bilingualism; language disorders; relations between language development and cognitive development

Prerequisites none


Seminar: Neural Basis of Language

Format Seminar


Self study 60 h

Credit points 3 CP


Instructor Katsika, Czernochowski



Contents Language localization in the brain; developmental and acquired

language impairments; relations between language and other cognitive functions; neuroscience methods (EEG, fMRI, PET, NIRS, etc.)

Prerequisites none


Seminar: Reading

Format

Seminar

Contact time

2 SWS / 30 h

Self study

60 h

Credit points

3 CP

Course type

Elective

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Instructor Lachmann, Steinbrink, Bergström



Contents Normal processes of reading; reading disorders; dyslexia

Prerequisites none


Seminar: Special Topics in Language and Linguistics

Format:

Seminar

Contact time

2 SWS / 30 h

Self study

60 h

Credit points

3 CP

Course type

Elective

Instructor Allen, Family, Katsika, Lachmann, Steinbrink, Czernochowski



Contents The seminar will focus on one topic from the field of language and

linguistics over the course of one semester. Example topics include "priming", "bilingual language processing", "processing as related to

scientific writing", “psycholinguistics of language attrition”, “dyslexia”, or other topics of special interest.

Prerequisites none






Self study Variable

Workload 330 h


Exam format




credit points

Successful completion of the Methods Seminar, and successful

presentation of the results of the Research Practicum.

Learning objectives The student will understand basic and some more advanced methods in research related to language and (psycho)linguistics, and will attain practical research skills through participating in research projects.

Responsible for module Allen


Research Practicum for Advanced Module 3: Language and Linguistics

Form

Laboratory Course

Contact time

Variable

Self study

Variable

Credit points

9 CP

Course type

Mandatory

Instructors Allen, Family, Katsika, Lachmann, Steinbrink, Bergström, Klatte, Czernochowski

Teaching form / group size Group assignment


Contents Group work on a practical research project (e.g. priming, eye-tracking, self-paced reading) under the supervision of one of the teaching staff.



Methods Seminar for Advanced Module 3: Language and Linguistics

Format Seminar


Self study 90h

Credit points 2 CP


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Instructors Allen, Family, Katsika, Lachmann, Steinbrink, Czernochowski



Contents Experimental design for longitudinal and cross-sectional studies,

participant selection and recruitment, development and preparation of experimental materials, research software (e.g. DMDX, E-Prime, Experiment Builder), specialized experimental equipment (e.g. eye-tracker, EEG), interpretation of experimental results.

Prerequisites none


Advanced Module 4: Cognitive Neuroscience



Contact time 6SWS/90h

Self study 180h

Workload 270h

Credit Points: 9

Exam format




credit points

Successful completion of requirements for three elective seminars, as

well as one oral exam covering the entire module.


Learning objectives The student will gain an understanding of the foundations of neuroscience, the functioning of neurons, and the essential methods of neuroscience.

Responsible for module Czernochowski

Usability in teaching Can be employed in other programs

Seminar: Introduction to Neuropsychology

Format Seminar


Self study 60 h

Credit points 3 CP


Instructor Guest lecture

Teaching form / group size Seminar/ 30


Contents Understanding of the structure and function of the brain as it relates to specific psychological processes and behaviors. Topics include foundations of neuropsychology, structure of the nervous system,

functional specialization of the brain, cognitive functions, research methods, and clinical assessment and rehabilitation.

Prerequisites none


Seminar: Neural Basis of Language

Format Seminar


Self study 60h

Credit points 3 CP


Instructors Katsika, Czernochowski



Contents Language localization in the brain; developmental and acquired language impairments; relations between language and other cognitive functions; fundamental neuroscience methods (EEG, fMRI, PET, NIRS, etc.)

Prerequisites none

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Lecture: Biological Aspects of Hearing

Format Lecture


Self study 90 h

Credit points 6 CP


Instructors Friauf

Teaching form / group size Lecture/30


Contents Phylogeny and ontogeny of hearing, transduction process, adaptation, degeneration and regeneration, central auditory system, sound localization

Prerequisites successful completion of Basic Modules

Course is offered Summer Semester (odd years)

Lecture: Visual Perception

Format Lecture


Self study 90h

Credit points 6CP


Instructors Friauf, Ghose, Schinauer, Foth



Contents Analytic vs. synthetic approaches in the study of perception; perceptual processes as a function of imposed stimulation vs. exploratory processes in information pickup; phenomenal experience vs. scientific explanation; reciprocal relationship of perceiving and

acting

Prerequisites none


Lecture: Brain Physiology

Format Lecture


Self study 60h

Credit points 3CP


Instructors Friauf

Teaching form / group size Interactive lecture/30


Contents Electrophysiological recording techniques: 1. field potentials (EEG, evoked potentials). 2. extracellular spike recordings (multi- and single-unit activity, ensemble activity, spike sorting). 3. Intracellular recordings (sharp electrodes, patch-clamp, planar patch, perforated patch). Modern neurobiological techniques: 1. Optogenetics (actuator and

reporter proteins). 2. Brainbow and Cre recombinase. Neuroimaging techniques: 1. PET. 2. MRI, fMRI. 3. MEG. Averaging signals and digitizing signals.

Prerequisites none






Self study Variable

Workload 330 h


Exam format



Requirements for awarding of Successful completion of the Methods Seminar, and successful

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credit points presentation of the results of the Research Practicum.

Learning objectives The student will understand basic and some more advanced methods in

research related to cognitive neuroscience, and will attain practical research skills through participating in research projects.

Responsible for module Czernochowski


Research Practicum for Advanced Module 4: Cognitive Neuroscience



Self study Variable

Credit points 9 CP


Instructor(s) Czernochowski, Friauf, Foth

Teaching format / group size Group assignment


Contents Group work on a practical research project (e.g. computational neuroscience, electrophysiological recordings, MEG for structural and functional analysis) under the supervision of one of the teaching staff.



Methods Seminar for Advanced Module 4: Cognitive Neuroscience

Format Seminar


Self study 90 h

Credit points 2 CP


Instructor(s) Czernochowski, Friauf, Foth



Contents Experimental design for human and animal studies, participant selection and recruitment, development and preparation of experimental materials, specialized experimental equipment and

related software (e.g. EEG, TMS), correlating neuronal activity with behavior, interpretation of experimental results.

Prerequisites none


Advanced Module 5: Computation


Duration Semester 2

Contact time 7-9SWS/105-130h

Self study 225-255

Workload 360h

Credit Points: 12CP

Exam format





Grading Oral exam

Learning objectives Students will gain an understanding of the foundations of human

computer interaction (HCI), the typical search strategies used in HCI (in documents and pictures), and other fields related to HCI (e.g., ergonomics, collaborative intelligence)

Responsible for module Schinauer


Lecture: Human-Computer Interaction

Format Contact time Self study Credit points Course type

16

Lecture 3SWS/45h 75h 4 CP Elective

Instructor Ebert



Contents The course introduces students to the theory and applications of human computer interaction (HCI). Students should achieve an

understanding of human perception and psychology related to HCI, as well as learn about concepts and methods of interactive systems. The course builds on theoretical principles and numerous examples from research and practice.

Prerequisites none


Seminar: Visualization and HCI

Format Seminar


Self study 90h

Credit points 4 CP


Instructor Ebert



Contents Selected topics from visualization, such as: VR/AR information visualization

scientific visualization adaptive/ mobile visualization visualization of medical and biological data

Prerequisites Lecture “Human Computer Interaction”


Lecture: Biologically Motivated Robots

Format Lecture


Self study 75h

Credit points 4 CP


Instructors Berns



Contents Biologically motivated robots (Bio Bots) are systems whose mechanical construction, sensor concepts and control methods have been inspired by nature. The following themes will be considered:

status of research and requirements for the development of BioBots;

sensor systems, sensor fusion and driving concepts; adaptive control (neural networks, fuzzy-control,

reininforcement learning, genetic algorithms and neuro-oscillators);

behavior-based control architectures and application for BioBots

Prerequisites none

Course is offered winter Semester

Seminar: Biologically Motivated Robots

Format Seminar


Self study 90h

Credit points 4 CP


Instructors Berns

Teaching form / group size Seminar/10

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Contents State of the art in science and development of biologically

motivated robots (BioBots), including sensors, sensor fusion, propulsion systems, adaptive approaches to steering, neuronal networks, fuzzy control, reinforcement learning, genetic algorithms, neuro-oscillators and behavioral control architectures.

Prerequisites Recommended: Basic knowledge of KI

Course is offered Winter semester

Lecture: Case-based Reasoning

Format Lecture


Self study 75h

Credit points 4 CP


Instructors Stahl



Contents Case representation,

similarity measures retrieval algorithms adaption methods learning methods methodology for developing and maintaining CBR

systems explanations and explanation capabilities of CBR systems

example systems

Prerequisites Recommended: Basic knowledge of KI



Scheduled for

Semester 3

Duration

1 Semester

Contact time

4SWS/60h

Self study

180h

Workload

240 h

Credit Points:

8CP

Exam format Presentation of methods and results of the student project (30min.)

Prerequisites Either Lecture “Human Computer Interaction” or Lecture “Biologically Motivated Robots”, depending on chosen project


Successful presentation of the results of the student project

Learning objectives Development of skills in practical research design, research techniques, and research methods.

Responsible for module Ebert, Berns

Usability in teaching ---

Practical Part: Human Computer Interaction Project: Visualization and HCI

Format

Project

Contact time

4SWS/60h

Self study

180h

Credit points

8 CP

Course type

Mandatory

Instructor Ebert

Teaching format / group size Project/10


Contents Different tasks from visualization, such as visualization in scalar fields (implementation of algorithm like

marching cubes, volume rendering etc.) visualization of vector fields: (Implementation of algorithms

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like stream lines and surfaces, turbulence detection, detection

of topology, etc.) construction of visualization framework for the implemented

algorithms with interactive graphical output

Prerequisites Lecture Human Computer Interaction


Service Robots and Assistance Systems

Format Project


Self study 180 h

Credit points 8 CP


Instructor(s) Berns

Teaching format / group size Project/ 10


Contents Learning the development tool MCA programming of DSPs basic sensor processing specification of a service robot or an assisting system

implementation of a complex control task

Prerequisites Lecture Biologically Motivated Robots


Methods seminar included in project

Internship Module

Scheduled for 1-4

Duration Semester 1

Contact time ---

Self study 240h

Workload 240h

Credit Points: 30

Exam format

Report to the examination comitee

Prerequisites See examination regulation


Internship

Grading ---

Learning objectives The students get practical experiences in the field of Cognitive science and can associate these experiences to the contents of the master study.


Usability in teaching ---

Master module

Scheduled for

4

Duration

Semester 1

Contact time

Self study

Workload

900h

Credit Points:

30

Exam format

Colloquium (30min.) and grading of the Master thesis

Prerequisites See examination regulation


credit points

Master thesis with Colloquium

Grading Colloquium, Master thesis

Learning objectives The master thesis serves as a final exam. In the thesis, the student proves to be able to realize a research project, including planning and preparation, technical implementation, analysis, and communication of the research and its results. The student demonstrates interdisciplinary

knowledge, skills and competencies in the cognitive sciences and is able to develop a research agenda. The student is able to argue and defend his results and conclusions and to reflect on methodological and

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theoretical aspects of his/her research.



Master thesis

Instructor Instructors of Cognitive science

Teaching form / group size individual

Contents The master thesis is prepared under the supervision of two instructors, preferably from different fields of research.

Colloquium

Instructor Two instructors of the Master thesis

Teaching form / group size individual

Contents The student argues and defends the results and conclusions of

his thesis.

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Overview of Course and Exam Requirements including Credit Allocation

I. Grundlagenmodule (Basic Modules)

Credit-Points

(CP) Contact Time,

Semesterwochenstunden (SWS)

Grundlagenmodule Total 22 CP Total 16 SWS

Foundations of Cognitive Science 12 CP 8 SWS

Principles and Techniques of Research

in Cognitive Science 10 CP 8 SWS

II. Schwerpunktmodule (Advanced Modules)

Module CPs Courses on respective themes Notes

Advanced Module

Perception

(20 CP)

3 Visual Perception

9 CPs must be earned through elective courses, 11 CPs must

be earned through the Research and Methods Module

3 Visual Attention and Awareness

3 Perception and Action

3 Psychophysics and Signal Detection

3 Special topics in Visual Perception

Advanced Module

Cognition and

Knowledge

(20 CP)

3 Lecture: Collaborative Intelligence 9 CPs must be earned through elective courses, 11 CPs must


3 Seminar: Collaborative Intelligence

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3 Human Intelligence, Problem Solving and

Creative Thinking

3 Learning and Behavior

3 Judgement and Decision-Making

3 Human Memory

3 Special Topics on Cognition and

Knowledge

Advanced Module

Language and Lin-

guistics

(20 CP)

3 Syntax



3 Psycholinguistics

3 Sentence Processing

3 Language Development

3 Neural Basis of Language

3 Reading

3 Special Topics on Language and Lin-

guistics

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Advanced Module Cogni-

tive Neuroscience (20

CP)

3 Introduction to Neurophysiology



3 Neural Basis of Language

6 Biological Aspects of Hearing

6 Visual Perception

3 Brain Physiology

Advanced Module

Computation

(20 CP)

4

Human Computer Interaction



4

Visualization and HCI

4

Biologically Motivated Robots (Lecture)

4 Biologically Motivated Robots (Seminar)

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Research and Methods Module (5 modules in total from which 3 are selected)


9

Research Practicum

Obligatory courses. 11 CP awarded for each selected Advanced Module = total of 33 CP (for 3 selected out of the possible 5 modules)1

Semester offered and exam format: 3rd semester; presentation of results

2

Methods Seminar

1.-4. Semester: Internship (6 weeks, 8 LPs)

Forth semester: Master thesis and colloquium (30 LPs).

1 Exception: The Advanced Module „Computing“ comprises 12 LPs in the Teaching Module and 8LPs in the Research Practicum and Methods

Module; students can select one of two practicum options with associated methods sections.

4 Case-Based Reasoning

module handbook for masters program in “cognitive science” · pdf filemodule...

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