Informatie over MSc Computing Science

Hieronder staan het programma en de vakomschrijvingen van MSc Computing Science Klik op de naam van een vak in een schema om naar de omschrijving te gaan.

» Jaar 1 ( Data Science and Systems Complexity)
PeriodeTypeCodeNaamTaalECTSUren
semester I averplichtINMMS-08Modelling and SimulationEngels5
 verplichtINMPR-08Pattern RecognitionEngels54
 verplichtINMWCC-12Web and Cloud ComputingEngels5
semester I bverplichtWMCS16002Introduction to Data ScienceEngels5
 verplichtWMCS15001Neural Networks and Computational IntelligenceEngels5
semester II averplichtWMCS16003Scalable ComputingEngels5
 verplichtINMSV-08Scientific VisualizationEngels5
 verplichtINMCOL-08Student Colloquium (Computing Science)Engels5
semester II bverplichtINMSTAG-08In-company or Research Internship (CS)Engels15
» Jaar 1 ( Intelligent Systems and Visual Computing)
PeriodeTypeCodeNaamTaalECTSUren
semester I averplichtINMPR-08Pattern RecognitionEngels54
 verplichtINMWCC-12Web and Cloud ComputingEngels5
semester I bverplichtINMIP-08Image ProcessingEngels5
 verplichtWMCS16002Introduction to Data ScienceEngels5
 verplichtWMCS15001Neural Networks and Computational IntelligenceEngels5
semester II averplichtINMCV-08Computer VisionEngels5
 verplichtINMSV-08Scientific VisualizationEngels5
 verplichtINMCOL-08Student Colloquium (Computing Science)Engels5
semester II bverplichtINMSTAG-08In-company or Research Internship (CS)Engels15
» Jaar 1 ( Software Engineering and Distributed Systems)
PeriodeTypeCodeNaamTaalECTSUren
semester I averplichtINMSA-08Software ArchitectureEngels5
 verplichtINMSME-08Software Maintenance and EvolutionEngels5
 verplichtINMWCC-12Web and Cloud ComputingEngels5
semester I bverplichtWMCS16002Introduction to Data ScienceEngels5
 verplichtINMSP-08Software PatternsEngels5
semester II averplichtWMCS14001Formal Modeling of Communicating SystemsEngels5
 verplichtWMCS16003Scalable ComputingEngels5
 verplichtINMCOL-08Student Colloquium (Computing Science)Engels5
semester II bverplichtINMSTAG-08In-company or Research Internship (CS)Engels15
» Jaar 2 ( Data Science and Systems Complexity)
PeriodeTypeCodeNaamTaalECTSUren
semester I averplichtWMCS16000Visual Analytics for Big Data (17/18)Engels5
semester I bverplichtWMCS16001Information Systems (vanaf 17/18)Engels5
semester IIverplichtINMAFST-08Master ThesisEngels30
» Jaar 2 ( Intelligent Systems and Visual Computing)
PeriodeTypeCodeNaamTaalECTSUren
semester I averplichtWMCS16000Visual Analytics for Big Data (17/18)Engels5
semester I bverplichtINMACG-08Advanced Computer GraphicsEngels54
semester IIverplichtINMAFST-08Master ThesisEngels30
» Jaar 2 ( Software Engineering and Distributed Systems)
PeriodeTypeCodeNaamTaalECTSUren
semester I averplichtINMDSY-08Distributed SystemsEngels5
semester I bverplichtWMCS16001Information Systems (vanaf 17/18)Engels5
semester IIverplichtINMAFST-08Master ThesisEngels30
»  Data Science and Systems Complexity - guided choice courses
PeriodeTypeCodeNaamTaalECTSUren
semester I akeuzeTBROB-12Robotics for IEMEngels5
 keuzeINMSME-08Software Maintenance and EvolutionEngels5
semester I bkeuzeMLBI0801Advanced Self-Organisation of Social SystemsEngels5
 keuzeTBAFPE-11Fitting Dynamical Models to DataEngels5
 keuzeINMIP-08Image ProcessingEngels5
 keuzeLIX016M05Learning from DataEngels54
 keuzeKIM.ML09Machine LearningEngels5
 keuzeWISG-09Statistical genomics (17/18)Engels5
 keuzeSTMASP-12Statistical Signal ProcessingEngels5
 keuzeINMUBC-09Ubiquitous Computing (17/18)Engels5
semester II akeuzeWICSA-10Contemporary Statistics with Applications (16/17)Engels5
 keuzeLIX001M05Natural Language ProcessingEngels54
semester II bkeuzeTBSE05ESystems EngineeringEngels5
Opmerkingen

The programme of the Master Computing Science with the specialization Data Science and
Systems Complexity consists of 95 EC compulsory courses and 25 EC choice courses:
- 15 EC can be chosen freely from any Master courses taught at the University
- 10 EC have to be chosen from the above-mentioned list of guided choice courses

Note that the course Robotics for IEM (TBROB-12) requires prior physics knowledge.
Note that the courses Contemporary Statistics with Applications (WICSA-10) and
Statistical Genomics (WISG-09) require prior mathematical knowledge that is not covered
by the Bachelor Computing Science programme in Groningen.

»  Intelligent Systems and Visual Computing - guided choice courses
PeriodeTypeCodeNaamTaalECTSUren
semester I akeuzeNACP-11Computational PhysicsEngels5
 keuzeINMMS-08Modelling and SimulationEngels5
 keuzeTBROB-12Robotics for IEMEngels5
semester I bkeuzeMLBI0801Advanced Self-Organisation of Social SystemsEngels5
 keuzeKIM.CMB11Cognitive Modelling: Basic Principles and MethodsEngels55
 keuzeLIX021M05Computational SemanticsEngels54
 keuzeINMDL-08Dynamic Logic (16/17)Engels5
 keuzeKIM.ML09Machine LearningEngels5
 keuzeWINM2-08Numerical Mathematics 2Engels5
 keuzeSTMASP-12Statistical Signal ProcessingEngels5
 keuzeINMUBC-09Ubiquitous Computing (17/18)Engels5
semester II akeuzeWMCS14001Formal Modeling of Communicating SystemsEngels5
 keuzeKIM.MAS03Multi-Agent SystemsEngels5
 keuzeLIX001M05Natural Language ProcessingEngels54
 keuzeWMCS16003Scalable ComputingEngels5
semester II bkeuzeKIM.SCHR03Handwriting RecognitionEngels5
 keuzeWINM1-07Numerical Mathematics 1Engels5
Opmerkingen

The programme of the Master Computing Science with the specialization Intelligent
Systems and Visual Computing consists of 95 EC compulsory courses and 25 EC choice
courses:
- 15 EC can be chosen freely from any Master courses taught at the University
- 10 EC have to be chosen from the above-mentioned list of guided choice courses

Note that the course Robotics for IEM (TBROB-12) requires prior physics knowledge.

»  Software Engineering and Distributed Systems - guided choice courses
PeriodeTypeCodeNaamTaalECTSUren
semester I akeuzeINMPR-08Pattern RecognitionEngels54
 keuzeTBROB-12Robotics for IEMEngels5
semester I bkeuzeINMASA-10Advanced Software ArchitectureEngels5variabel
 keuzeKIM.ML09Machine LearningEngels5
 keuzeINMUBC-09Ubiquitous Computing (17/18)Engels5
semester II akeuzeKIM.MAS03Multi-Agent SystemsEngels5
 keuzeINMSV-08Scientific VisualizationEngels5
semester II bkeuzeTBSE05ESystems EngineeringEngels5
Opmerkingen

The programme of the Master Computing Science with the specialization Software
Engineering and Distributed Systems consists of 95 EC compulsory courses and
25 EC choice courses:
- 15 EC can be chosen freely from any Master courses taught at the University
- 10 EC have to be chosen from the above-mentioned list of guided choice courses

Note that the course Robotics for IEM (TBROB-12) requires prior physics knowledge.

» Science, Business and Policy
PeriodeTypeCodeNaamTaalECTSUren
semester IverplichtWNBIBEB08AIntroduction Science and BusinessEngels10
 verplichtWNBIBEB08BIntroduction Science and PolicyEngels1040
semester IIverplichtWNBIBEBS08Stagetraject bedrijf en beleidEngels en Nederlands40
Opmerkingen

The programme of the Master Computing Science with the specialization Science,
Business and Policy comprises 120 ECTS:
The three SPB courses above are combined with the compulsory courses (60 EC)
of only one of the three other specialisations (ISVC, SEDS, DSSC).

» x Optional free choice course (provided by Computing Science)
PeriodeTypeCodeNaamTaalECTSUren
semester II akeuzeWMCS13001Advanced Computer EthicsEngels5

Toon korte vakomschrijvingen