[Pre – Learning] DCS: MCS 704 – Cognitive Computing and Neuroscience
About Course
- This core course integrates cognitive science with computational models, focusing on how artificial neural networks and AI can simulate human cognitive processes.
- Applications include natural language processing, cognitive robotics, and AI-driven decision-making.
- Students will explore the intersection of neuroscience and artificial intelligence, gaining insights into the design of systems that mimic cognitive functions such as learning, memory, and perception.
Course Objectives:
- Develop a deep understanding of cognitive science principles and their application to artificial intelligence.
- Learn to design and implement computational models that simulate human cognitive processes.
- Explore the role of artificial neural networks in cognitive computing and their applications in various domains.
- Engage with current research in cognitive computing and neuroscience, focusing on practical applications such as NLP and cognitive robotics.
- Prepare for advanced research in the integration of cognitive science and AI.
Course Content
Topic 1: Introduction to Cognitive Computing and Neuroscience
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Introduction to Cognitive Computing and Neuroscience
00:00 -
LO1: Explain Core Concepts of Cognitive Computing and Neuroscience
00:00 -
LO2: Describe Relationship between Cognitive Science and Artificial Intelligence
00:00 -
LO3: Summarize Scope and Applications of Cognitive Computing based on Core Textbook
00:00 -
Knowledge Check