Ocasys: Ocasys: Online Onderwijscatalogus

Rijksuniversiteit Groningen

Hieronder staan het programma en de vakomschrijvingen van MSc Human Machine Communication - per 21-22 Computational Cognitive Science Klik op de naam van een vak in een schema om naar de omschrijving te gaan.

Periode	Type	Code	Naam	Taal	ECTS	Uren
» A - General Mandatory Course Units
hele jaar	verplicht	WMCC901-45	Final Research Project CCS	Engels	45
semester I a	verplicht	WMCC002-05	Formal Models of Cognition	Engels	5
semester I b	verplicht	WMCC005-05	Advanced Statistical Modelling	Engels	5	4
	verplicht	WMCC006-05	Cognitive Modelling: Basic Principles and Methods	Engels	5	5
semester II	verplicht	WMCC012-15	First-year Research Project	Engels	15

Opmerkingen	Students in the Computational Cognitive Science programme have to take a set of mandatory course units (A), choose a specialisation (B) and fill the rest of their EC with elective course units. The list on Ocasys is a list of pre-approved electives (C). The Computational Cognitive Science programme has the following specialisations: - Cognitive Engineering (CE) - Cognitive Language Modelling (CLM) - Cognitive Modelling (CM) - Computational Cognitive Neuroscience (CCN)
» B - Mandatory Course Units Cognitive Engineering
Periode	Type	Code	Naam	Taal	ECTS	Uren
semester I a	verplicht CE	WMCC001-05	Cognitive Engineering	Engels	5
	verplicht CE	WMCC004-05	User Models	Engels	5
semester II a	verplicht CE	WMCC007-05	Applied Cognitive Engineering	Engels	5
semester II b	verplicht CE	WMCC011-05	Neuro-ergonomics	Engels	5
» B - Mandatory Course Units Cognitive Language Modelling
Periode	Type	Code	Naam	Taal	ECTS	Uren
semester I a	verplicht CLM	WMCC003-05	Language Modelling	Engels	5
semester II a	verplicht CLM	WMCC009-05	Computational Simulations of Language	Engels	5
semester II b	verplicht CLM	LIX025M05	Language Technology Project	Engels	5	2
» B - Mandatory Course Units Cognitive Modelling
Periode	Type	Code	Naam	Taal	ECTS	Uren
semester I a	verplicht CM	WMCC004-05	User Models	Engels	5
semester II a	verplicht CM	WMCC008-05	Cognitive Modelling: Complex Behaviour	Engels	5	12
semester II b	verplicht CM	WMCC010-05	Computational Cognitive Neuroscience	Engels	5
» B - Mandatory Course Units Computational Cognitive Neuroscience
Periode	Type	Code	Naam	Taal	ECTS	Uren
semester I b	verplicht CCN	WMAI010-05	Machine Learning	Engels	5
semester II a	verplicht CCN	WMCC008-05	Cognitive Modelling: Complex Behaviour	Engels	5	12
semester II b	verplicht CCN	WMCC010-05	Computational Cognitive Neuroscience	Engels	5
» C - Elective Course Units
Periode	Type	Code	Naam	Taal	ECTS	Uren
semester I	keuzevak 1)	WMSE002-10	Introduction Science and Policy	Engels	10	40
semester I a	keuzevak 1)	WMSE001-10	Introduction Science and Business	Engels	10
	keuze	WMCC004-05	User Models	Engels	5
	keuze	WMAI001-05	Arguing Agents	Engels	5
	keuze	WMBC002-05	Auditory and Visual Perception	Engels	5
	keuze	WMCC001-05	Cognitive Engineering	Engels	5
	keuze	WMAI003-05	Cognitive Robotics	Engels	5
	keuze	WMAI004-05	Design of Multi-Agent Systems	Engels	5
	keuze	WMCS002-05	Introduction to Data Science	Engels	5
	keuze	WMCC003-05	Language Modelling	Engels	5
	keuze	LIX002M05	Semantic Web Technology	Engels	5	4
	keuze	WMEC006-05	Skills in Science Communication	Engels	5
	keuze	PSMCB-3	Trends in Cognitive Neuroscience	Engels	5	2
	keuze	WMCS005-05	Web and Cloud Computing	Engels	5
semester I b	keuze	PSMCB-4	Applied Cognitive Neuroscience	Engels	5	3
	keuze	LIX021M05	Computational Semantics	Engels	5	4
	keuze	LIX022M05	Computer-Mediated Communication	Engels	5	4
	keuze	LTR024M05	Corpus Linguistics	Engels	5	variabel
	keuze	WMAI010-05	Machine Learning	Engels	5
	keuze	FI184FR	Philosophy of Neuroscience	Engels	5
	keuze	WMAI011-05	Robotics for AI	Engels	5
	keuze	WMCS018-05	Scientific Visualization	Engels	5
semester II a	keuze	WMCC007-05	Applied Cognitive Engineering	Engels	5
	keuze	WMAI013-05	Auditory Biophysics	Engels	5
	keuze	WMCC008-05	Cognitive Modelling: Complex Behaviour	Engels	5	12
	keuze	WMCC009-05	Computational Simulations of Language	Engels	5
	keuze	WMAI016-05	Computational Social Choice	Engels	5
	keuze	WMAI017-05	Deep Learning	Engels	5
	keuze	LIX001M05	Natural Language Processing	Engels	5	4
	keuze	LIX024M05	User Interface Evaluation	Engels	5	4
semester II b	keuze	WMBY017-05	Advanced self-organisation of social systems	Engels	5
	keuze	WMCC010-05	Computational Cognitive Neuroscience	Engels	5
	keuze	WMAI019-05	Handwriting Recognition	Engels	5
	keuze	LIX025M05	Language Technology Project	Engels	5	2
	keuze	WMAI020-05	Logical Aspects of Multi-agent Systems	Engels	5
	keuze	WMCC014-05	Models of Human-Syntax Processing	Engels	5
	keuze	WMCC011-05	Neuro-ergonomics	Engels	5

Opmerkingen	1) These courses will yield a maximum combined total of 10 EC. PLEASE NOTE: to subscribe for course units with a course code that starts with PS, you need to contact the education desk of the Faculty of Behavioural and Social Sciences via: owbalie.gmw@rug.nl. PLEASE NOTE: to subscribe for elective course units with a course code that starts with FI, you need to contact the student administration of the Faculty of Philosophy (see https://www.rug.nl/filosofie/contact/). Subscription for first semester between 21 June and 16 July; second semester between mid November and mid December.

Toon korte vakomschrijvingen

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. Hemelrijk prof. dr. G.S. van Doorn
Onderwijsvorm	Practisch werk (PRC), Werkcollege (T), Hoorcollege (LC)
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