Cognitive Science in Cognition and Computation

Study mode:On campus Languages: English
Foreign:$ 18.1 k / Year(s)  
501–600 place StudyQA ranking:10205 Duration:4 years

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The Bachelor of Arts in Cognitive Science with a specialization in Cognition and Computation at Carleton University offers students an interdisciplinary exploration into the nature of human cognition, intelligent behavior, and computational modeling. This innovative program integrates perspectives from psychology, computer science, philosophy, linguistics, and neuroscience to develop a comprehensive understanding of how the mind processes information, learns, perceives, and interacts with the environment. Students will engage with foundational theories of cognition, delve into artificial intelligence and machine learning, and explore the computational aspects of language, perception, and decision-making. The program emphasizes both theoretical knowledge and practical skills, providing hands-on experiences through laboratories, programming projects, and research opportunities. Graduates will be equipped with the analytical, technical, and conceptual tools necessary to contribute to fields such as cognitive modeling, human-computer interaction, robotics, and data analysis. With a strong emphasis on critical thinking and scientific inquiry, students will develop the ability to address complex cognitive questions and design computational systems inspired by human intelligence. The curriculum includes courses in cognitive psychology, computer algorithms, neural networks, and philosophy of mind, among others. This program prepares students for dynamic careers in research, industry, technology development, and academia, where understanding the computational basis of cognition is increasingly vital. Whether students are interested in advancing artificial intelligence, improving user experience through intelligent systems, or studying the fundamental processes of cognition, this program provides a robust foundation rooted in rigorous scientific principles and innovative computational techniques.

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