| 1 | Advanced Imaging Techniques | WMBY015-05 |
The major incentive of the course is getting acquainted with a broad range of modern imaging techniques which are being used in the neurosciences. Students are trained to be able to explain the principles underlying the technique, its use and its limitations. For specific research questions, students learn to be able to decide which technique is most suitable.
Students are also trained to present a relevant scientific article. They prepare a PowerPoint presentation and present it to the other master students participating in the course and receive feedback about their performance.
Techniques involved are among others PET, (f)MRI, electron microscopy, EEG, confocal scanning microscopy and tracking behavior. Within the course two practicals are provided to visualize data and to track behavior, for the latter a report needs to be written. In addition two demonstrations are given on two specific imaging techniques.
Master students who attended the bachelor course unit cannot participate in the Master course unit Advanced Imaging Techniques. |
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| 2 | Advanced self-organisation of social systems | WMBY017-05 |
Processes of selforganisation occur at all levels of a system. For instance, in a group of individuals they take place at the level of
the cognition of the individual, of its behaviour and of the behaviour of the group. Selforganisation implies that cognitively simple
rules at the level of the individual (the so-called micro-level) may lead to complex behaviour at a higher level (the macro-level). The
emergence of patterns in a computer model often leads to unexpected new insights. Note that, the other way around, by observing
the complex behaviour at a higher level, it is impossible to discover the behavioural rules that operate at a lower level. In this
course models of selforganisation of the social phenomena will be treated, such as: swarming by fish and birds, with and without
attacks by predators; grouping and foraging behaviour by social insects and primates; nest building by insects, task division in insects; social learning and behaviour of fish and corvids; social structure (despotic and egalitarian), and cultural transmission in primates and humans.
Individual-based models will be discussed and taught.
The practical work closely follows the contents of the daily lectures. Students will use Excel-spreadsheets and the program Netlogo.
In the last part of the course, students work on a modeling project of their own or in pairs. They can work out their own ideas or choose from the projects that are offered. The work is to be rounded off with a presentation. |
| Faculteit | Science and Engineering | | Voertaal | Engels | | Coordinator | prof. dr. C.K. Hemelrijk | | Docent(en) | prof. dr. C.K. Hemelrijkdr. G.S. van Doorn | | Onderwijsvorm | Hoorcollege (LC), Practisch werk (PRC), Werkcollege (T) | | Toetsvorm | Mondeling tentamen (OR), Opdracht (AST), Presentatie (P) | | ECTS | 5 | | Entreevoorwaarden | This course can be followed as a sequel to the bachelor course “ Selforganization of ecological and social systems”. The course is also meant for students from other fields, e.g. those of artificial intelligence and sociology | | Opmerkingen | Capacity: maximal 40 students
Study load: 140 hours
Toetsvorm:
Marking takes account of the combination of the questions (20%), literature presentation (30%), exercises (for rounding the grades,max 1 day missing ) and the final project (50%)
This course was registered last year with course code MLBI0801 |
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| 3 | Advanced Statistical Modelling | WMCC005-05 |
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| Faculteit | Science and Engineering | | Voertaal | Engels | | Coordinator | dr. J.C. van Rij-Tange | | Docent(en) | dr. J.C. van Rij-Tange | | Onderwijsvorm | Opdracht (ASM), Hoorcollege (LC), Bijeenkomst (S) | | Toetsvorm | Opdracht (AST), Schriftelijk tentamen (WE) | | ECTS | 5 |
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| 4 | Applied Cognitive Engineering | WMCC007-05 |
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| Faculteit | Science and Engineering | | Voertaal | Engels | | Coordinator | dr. F. Cnossen | | Docent(en) | dr. F. Cnossen | | Onderwijsvorm | Opdracht (ASM), Hoorcollege (LC) | | Toetsvorm | Opdracht (AST), Presentatie (P), Verslag (R) | | ECTS | 5 |
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| 5 | Applied Cognitive Neuroscience | PSMCB-4 |
In this course, recent developments in cognitive psychology
and neuroscience will be discussed on the basis of
contemporary and applied topics in science and society
(including topics related to healthy ageing, cognitive
enhancement, or consumer research). Every week, one
particular topic within the context of applied cognitive
research will be discussed. Students will have prepared the
topic the week before. The course assignment consists of
writing a proposal for an innovative applied project (similar to
an NWO Take-off proposal). |
| Faculteit | Gedrags- en MaatschappijWetenschappen | | Voertaal | Engels | | Coordinator | dr. K.S. Pilz | | Docent(en) | dr. K.S. Pilz | | Onderwijsvorm | intervisie, werkcollege | | Toetsvorm | dossier, essay, presentatie, werkstuk (individueel) | | ECTS | 5 | | Opmerkingen | Knowledgde of psychology at the bachelor level is assumed. |
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| 6 | Arguing Agents | WMAI001-05 |
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| 7 | Auditory and Visual Perception | WMBC002-05 |
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| 8 | Auditory Biophysics | WMAI013-05 |
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| 9 | Cognitive Engineering | WMCC001-05 |
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| Faculteit | Science and Engineering | | Voertaal | Engels | | Coordinator | dr. F. Cnossen | | Docent(en) | dr. F. Cnossen | | Onderwijsvorm | Hoorcollege (LC), Werkcollege (T) | | Toetsvorm | Opdracht (AST), Presentatie (P) | | ECTS | 5 |
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| 10 | Cognitive Modelling: Basic Principles and Methods | WMCC006-05 |
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| 11 | Cognitive Modelling: Complex Behaviour | WMCC008-05 |
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| Faculteit | Science and Engineering | | Voertaal | Engels | | Coordinator | prof. dr. N.A. Taatgen | | Docent(en) | prof. dr. N.A. Taatgen | | Onderwijsvorm | Opdracht (ASM), Hoorcollege (LC), Practisch werk (PRC), Werkcollege (T) | | Toetsvorm | Opdracht (AST), Practisch werk (PR), Presentatie (P), Verslag (R) | | ECTS | 5 |
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| 12 | Cognitive Robotics | WMAI003-05 |
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| 13 | Computational Cognitive Neuroscience | WMCC010-05 |
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| Faculteit | Science and Engineering | | Voertaal | Engels | | Coordinator | dr. M.K. van Vugt | | Docent(en) | dr. M.K. van Vugt | | Onderwijsvorm | Opdracht (ASM), Hoorcollege (LC) | | Toetsvorm | Opdracht (AST), Presentatie (P), Verslag (R) | | ECTS | 5 |
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| 14 | Computational Semantics | LIX021M05 |
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| 15 | Computational Simulations of Language | WMCC009-05 |
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| Faculteit | Science and Engineering | | Voertaal | Engels | | Coordinator | dr. J.K. Spenader | | Docent(en) | | | Onderwijsvorm | Practisch werk (PRC), Hoorcollege (LC) | | Toetsvorm | Opdracht (AST) | | ECTS | 5 |
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| 16 | Computational Social Choice | WMAI016-05 |
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| Faculteit | Science and Engineering | | Voertaal | Engels | | Docent(en) | | | Onderwijsvorm | Werkcollege (T), Hoorcollege (LC) | | Toetsvorm | Opdracht (AST), Presentatie (P), Verslag (R) | | ECTS | 5 |
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| 17 | Computer-Mediated Communication | LIX022M05 |
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| 18 | Corpus Linguistics | LTR024M05 |
In de cursus worden standaard technieken aangereikt voor het gebruik van corpora in taalkundig
onderzoek. Diverse corpora en corpusannotaties worden besproken. Praktische methoden in R voor het
zoeken en tellen van taalkundige patronen in corpora maken deel uit van de colleges. Ook zullen we
een aantal eenvoudige statistische methoden belichten die vaak worden gebruikt in onderzoek in de
corpustaalkunde. |
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| 19 | Deep Learning | WMAI017-05 |
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| Faculteit | Science and Engineering | | Voertaal | Engels | | Coordinator | dr. M.A. Wiering | | Docent(en) | dr. M.A. Wiering | | Onderwijsvorm | Bijeenkomst (S), Hoorcollege (LC), Practisch werk (PRC) | | Toetsvorm | Presentatie (P), Verslag (R), Schriftelijk tentamen (WE) | | ECTS | 5 |
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| 20 | Design of Multi-Agent Systems | WMAI004-05 |
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| Faculteit | Science and Engineering | | Voertaal | Engels | | Coordinator | B.R.M. Gattinger, PhD. | | Docent(en) | B.R.M. Gattinger, PhD. | | Onderwijsvorm | Hoorcollege (LC), Practisch werk (PRC) | | Toetsvorm | Practisch werk (PR), Presentatie (P), Verslag (R) | | ECTS | 5 |
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| 21 | Final Research Project HMC | WMCC901-45 |
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| Faculteit | Science and Engineering | | Voertaal | Engels | | Coordinator | dr. F. Cnossen | | Docent(en) | diverse docenten | | Onderwijsvorm | Practisch werk (PRC) | | Toetsvorm | Presentatie (P), Verslag (R), Practisch werk (PR) | | ECTS | 45 |
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| 22 | First-year Research Project | WMCC012-15 |
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| Faculteit | Science and Engineering | | Voertaal | Engels | | Coordinator | dr. J.K. Spenader | | Docent(en) | diverse docenten | | Onderwijsvorm | Opdracht (ASM), Bijeenkomst (S) | | Toetsvorm | Presentatie (P), Verslag (R) | | ECTS | 15 |
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| 23 | Formal Models of Cognition | WMCC002-05 |
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| 24 | Handwriting Recognition | WMAI019-05 |
Behandeld worden: voorbewerking, normalisatie, segmentatie, classificatie en nabewerking. De student maakt kennis met een aantal basismethoden patroonclassificatie (hidden-Markov-models, neurale netwerken, en de support-vector classifier). Tevens wordt praktische ervaring opgedaan met het bedenken en berekenen van geometrische kenmerken die als basis dienen voor de patroonclassificatie. Na een introductie in werkcolleges volgt de practicumopdracht. De opdracht wordt alleen of in groepjes (max. 2 pers.) gemaakt. Omdat er wordt uitgegaan van gezamenlijke ‘benchmark’ data waarop de classificatoren worden getraind en getest kan er een zeker competitie-element aanwezig zijn.
Te leveren prestaties, elk element draagt bij tot het eindcijfer:
- Deelopdrachten (onderdeel van de eindopdracht);
- Eindopdracht (programmeerwerk);
- Presentatie;
- Engels practicumverslag (± 10 pag.), met de structuur van een wetenschappelijke publicatie (Introduction, Methods, Results, Discussion, References).
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| 25 | Introduction Science and Business | WMSE001-10 |
This module will take place in two phases.
1. Theory Science and Business
2. Group project Science and Business
In the first three weeks you will follow an intensive program in which you get acquainted with important business concepts. After that you will train the skills to solve business cases and to write and present a feasible science advise to company owners. Most assignments will be done in groups and teams.
For more information see www.rug.nl/fwn/sbp |
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| 26 | Introduction Science and Policy | WMSE002-10 |
This module will take place in two phases.
1. Theory Science and Policy
2. Group project Science and Policy
In the first three weeks you will follow an intensive program in which you get acquainted with important policy concepts. After that you will train the skills to solve policy cases and to write and present a feasible science advise to governmental organisations. Most assignments will be done in groups and teams.
For more information see www.rug.nl/fwn/sbp |
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| 27 | Introduction to Data Science | WMCS002-05 |
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| Faculteit | Science and Engineering | | Voertaal | Engels | | Coordinator | dr. G. Azzopardi | | Docent(en) | dr. G. Azzopardi | | Onderwijsvorm | Bijeenkomst (S), Hoorcollege (LC), Practisch werk (PRC) | | Toetsvorm | Opdracht (AST), Schriftelijk tentamen (WE) | | ECTS | 5 |
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| 28 | Language Modelling | WMCC003-05 |
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| Faculteit | Science and Engineering | | Voertaal | Engels | | Coordinator | dr. J.K. Spenader | | Docent(en) | dr. J.K. Spenader | | Onderwijsvorm | Hoorcollege (LC), Practisch werk (PRC) | | Toetsvorm | Opdracht (AST), Verslag (R) | | ECTS | 5 |
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| 29 | Language Technology Project | LIX025M05 |
| In this project-based course, students are going to work on a natural language processing challenge. A challenge is a practical task in NLP related to a particular research topic. The task usually comes with data-sets for training, as well as a precise evaluation metric. The intention is that students familiarize themselves with a selected research topic, implement a solution and present the outcome critically in a term paper. The course is a mix of lectures, exercises and project-based work. The focus of this class is on deep learning (neural networks) for NLP. |
| Faculteit | Letteren | | Voertaal | Engels | | Docent(en) | dr. A. Toral Ruiz | | Onderwijsvorm | werkcollege | | Toetsvorm | presentatie, werkstuk(ken) | | ECTS | 5 | | Entreevoorwaarden | BA exam Information Science or Artificial Intelligence or similar undergraduate programme.
Maturity in computational linguistics, meaning familiarity with basic concepts of computational linguistics and machine learning, but there will be time to review occasionally unfamiliar concepts as well. |
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| 30 | Logical Aspects of Multi-agent Systems | WMAI020-05 |
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| 31 | Machine Learning | WMAI010-05 |
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| Faculteit | Science and Engineering | | Voertaal | Engels | | Coordinator | prof. dr. H. Jaeger | | Docent(en) | prof. dr. H. Jaeger | | Onderwijsvorm | Hoorcollege (LC), Practisch werk (PRC), Werkcollege (T) | | Toetsvorm | Verslag (R), Schriftelijk tentamen (WE) | | ECTS | 5 |
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| 32 | Natural Language Processing | LIX001M05 |
De cursus is een gevorderde cursus op het gebied van de natuurlijke taalverwerking. In de cursus wordt een aantal belangrijke, fundamentele, onderwerpen uit het vakgebied behandeld (Reguliere Expressies, Finite state automata, Computationele Morfologie, computationele fonologie, N-grams, Hidden Markov Models, Part-of-Speech Tagging, Context-free Grammar, Parsing, Unification Grammar,
Chomsky Hierarchy). |
| Faculteit | Letteren | | Voertaal | Engels | | Coordinator | dr. G. Bouma | | Docent(en) | dr. G. Bouma student-assistent | | Onderwijsvorm | computerpracticum, hoorcollege | | Toetsvorm | schriftelijk tentamen, schriftelijke opdracht(en) | | ECTS | 5 | | Entreevoorwaarden | Bachelor Informatiekunde of bachelor Kunstmatige Intelligentie of vergelijkbare opleiding op bachelor-niveau. | | Opmerkingen | De student Informatiekunde kiest twee van de volgende vier mogelijkheden: Natural Language Processing; Advanced Webtechnology; Computer-Mediated Communication; Machinaal Leren plus een Ma-keuzeonderdeel van buiten de opleiding. Studenten Informatiekunde die het vak Machinaal Leren willen kiezen moeten van tevoren contact opnemen met de studieadviseur. |
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| 33 | Neuro-ergonomics | WMCC011-05 |
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| 34 | Non-derivational Theories of Syntax | WMCC013-05 |
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| Faculteit | Science and Engineering | | Voertaal | Engels | | Coordinator | S.M. Jones, PhD. | | Docent(en) | | | ECTS | 5 |
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| 35 | Philosophy of Neuroscience | FI184FR |
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| 36 | Robotics for AI | WMAI011-05 |
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| 37 | Scientific Visualization | WMCS018-05 |
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| 38 | Semantic Web Technology | LIX002M05 |
In het eerste deel van de cursus wordt de motivatie voor het ontwikkelen van een "semantisch web" besproken, en worden verschillende XML-standaards en technieken voor het semantisch web behandeld. We gaan met name in op het gebruik van de Protégé Ontology editor, RDF, OWL and SPARQL.
In het tweede deel van het college wordt in projectvorm een applicatie ontwikkeld op het gebied van de Letteren, die gebruik maakt van deze technieken. |
| Faculteit | Letteren | | Voertaal | Engels | | Coordinator | dr. G. Bouma | | Docent(en) | dr. G. Bouma | | Onderwijsvorm | computerpracticum, hoorcollege | | Toetsvorm | computeropdrachten, essay, referaat/spreekbeurt | | ECTS | 5 | | Entreevoorwaarden | Bachelor Informatiekunde of bachelor Kunstmatige Intelligentie of vergelijkbare opleiding op bachelor-niveau. |
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| 39 | Skills in Science Communication | WMEC006-05 |
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| 40 | Trends in Cognitive Neuroscience | PSMCB-3 |
This course focuses on a selection of current perspectives and issues in the field of cognitive neuroscience. While addressing these, the application of neuro-cognitive knowledge and methods to 'every-day' situations (e.g., driving a car or deciding on a purchase) is of particular interest.
Examples of topics that have been discussed in the course are the usefulness of physiological measures in applied settings, and the influence of emotion on cognition and decision making. |
| Faculteit | Gedrags- en MaatschappijWetenschappen | | Voertaal | Engels | | Coordinator | dr. S. Fabbri | | Docent(en) | dr. S. Fabbridr. B. van den Berg, PhD. | | Onderwijsvorm | werkcollege | | Toetsvorm | presentatie, essay | | ECTS | 5 | | Opmerkingen | Each of the lectures deals with a pre-selected topic, and is organized by the students themselves, in small groups. After the formal presentation, a content-driven discussion follows.
This course format requires active participation of all students, and to that end students are asked to read the relevant literature prior to the start of each lecture. |
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| 41 | User Interface Evaluation | LIX024M05 |
| The course will focus on the main approaches to user interface evaluation, highlighting contributions and limiations of each. Through a series of practical assignments, the students will have to apply the studied methods for the evaluation of different interfaces. These will include methods involving users, and methods without them (analytical evaluation). Eventually, everything will come together in the larger evaluation of a real interface for the final project, possibly commissioned by an actual company. |
| Faculteit | Letteren | | Voertaal | Engels | | Coordinator | vacature | | Docent(en) | vacature | | Onderwijsvorm | werkcollege | | Toetsvorm | wekelijkse opdrachten, werkstuk(ken) | | ECTS | 5 | | Entreevoorwaarden | Bachelor Information Sciences/CIS |
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| 42 | User Models | WMCC004-05 |
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| Faculteit | Science and Engineering | | Voertaal | Engels | | Coordinator | dr. J.P. Borst | | Docent(en) | dr. J.P. Borst O. Portoles Marin, MSc. | | Onderwijsvorm | Hoorcollege (LC), Practisch werk (PRC), Werkcollege (T) | | Toetsvorm | Opdracht (AST), Practisch werk (PR), Presentatie (P), Verslag (R) | | ECTS | 5 |
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| 43 | Web and Cloud Computing | WMCS005-05 |
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