[Pre – Learning] DCS: MCS 704 – Cognitive Computing and Neuroscience

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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.
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Course Content

Topic 1: Introduction to Cognitive Computing and Neuroscience

  • 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

Topic 2: Cognitive Robotics

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