Introduction to cognitive psychology with emphasis on computational approaches to understanding human cognition. Topics include attention, memory, reasoning, and decision-making.

• Computational models of cognitive processes
• Bayesian approaches to cognition
• Neural network models
• Cognitive architectures

Advanced seminar on computational approaches to understanding cognition. Students develop and implement models using modern machine learning techniques.

• Deep learning applications in cognitive science
• Reinforcement learning models
• Meta-learning and few-shot learning
• Model comparison and validation