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