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COURSES
1. Semester
Applied statistics
Creating collaborative cultures
Introduction to cognitive science
Introduction to programming
Language structures and conceptualization
Perception, attention and visual cognition
Research methodology in cognitive science
2. Semester
Advanced cognitive science
MOD6: Applied category theory
MOD6: Cognitive science in education
MOD6: Evolution and cognition
MOD6: Game theory with examples from the game Magic: the Gathering
Introduction to artificial intelligence
Introduction to cognitive neuroscience
Introduction to data science
MOD1: Linguistic meaning construal
Memory, learning and thinking
MOD6: Multivariate data analysis
Origins of creativity and creative ecosystems
MOD6: Philosophy and cognitive science
3. Semester
MOD2: Biomedical signals and systems
MOD6: Creative laboratory
MOD4: Digital speech processing
MOD6: E-learning technologies
MOD1: Formal and cognitive semantics
Foundations to speech sciences
MOD6: Information structure of the sentence: Syntax-semantics interface
MOD6: Innovation processes and characteristics of innovators
MOD5: Introduction to anthropology
Machine learning fundamentals
MOD3: Language and neuroscience
MOD2: Neurophysiological signal analysis
New trends in cognitive science
MOD3: Quantitative and computational models in perception
4. Semester
MOD6: Applied category theory
Business Communication
MOD3: Cognitive modeling
MOD6: Cognitive science in education
MOD4: Computer and robotic vision
MOD5: Cultural aspects in anthropology
MOD6: Digital image processing and analysis
MOD6: Evolution and cognition
MOD6: Game theory with examples from the game Magic: the Gathering
MOD2: Introduction to neuroimaging analysis
MOD1: Linguistic meaning construal
Master thesis
MOD6: Multivariate data analysis
MOD1: Natural language processing
MOD6: Philosophy and cognitive science
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