DCS: MCS 704 – Cognitive Computing and Neuroscience
Categories: Doctorate of Computer Science
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
Week 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 -
Multiple Choice Questions
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True/False Questions
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Scenario-Based Multiple Choice Questions
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Key Terms and Concepts Questions
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Short Answer Questions
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Written Assignment
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Presentation Task
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Role-playing Activity
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Peer Review Task
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Exercises and Activities Adaptation
Week 2: Foundations of Cognitive Science
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Foundations of Cognitive Science
00:00 -
LO1: Define Key Concepts of Cognitive Science
00:00 -
LO2: Explain Role of Brain–Computer Interfaces in Cognitive Systems
00:00 -
LO3: Analyze Cognitive Science Principles relevant to Computational Models
00:00 -
Multiple Choice Questions
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True/False Questions
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Scenario-Based Multiple Choice Questions
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Key Terms and Concepts Questions
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Short Answer Questions
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Written Assignment
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Presentation Task
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Role-playing Activity
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Peer Review Task
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Exercises and Activities Adaptation
Week 3: Artificial Neural Networks and Cognitive Models
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Artificial Neural Networks and Cognitive Models
00:00 -
LO1: Explain Structure and Function of Artificial Neural Networks
00:00 -
LO2: Describe Cognitive Models used to Simulate Human Cognition
00:00 -
LO3: Analyze Neural Network Designs for Cognitive Applications
00:00 -
Multiple Choice Questions
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True/False Questions
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Scenario-Based Multiple Choice Questions
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Key Terms and Concepts Questions
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Short Answer Questions
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Written Assignment
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Presentation Task
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Role-playing Activity
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Peer Review Task
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Exercises and Activities Adaptation
Week 4: Learning and Memory in Cognitive Computing
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Learning and Memory in Cognitive Computing
00:00 -
LO1: Explain Mechanisms of Learning and Memory in Biological and Artificial Systems
00:00 -
LO2: Describe Neural Network Training Techniques supporting Learning Processes
00:00 -
LO3: Analyze Computational Models of Memory based on Cognitive Neuroscience
00:00 -
Multiple Choice Questions
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True/False Questions
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Scenario-Based Multiple Choice Questions
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Key Terms and Concepts Questions
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Short Answer Questions
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Written Assignment
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Presentation Task
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Role-playing Activity
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Peer Review Task
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Exercises and Activities Adaptation
Week 5: Perception and Neural Networks
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Perception and Neural Networks
00:00 -
LO1: Explain Perceptual Processes in Human Cognition
00:00 -
LO2: Describe Neural Network Approaches for Image and Speech Recognition
00:00 -
LO3: Analyze Perception Models used in Cognitive Computing Systems
00:00 -
Multiple Choice Questions
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True/False Questions
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Scenario-Based Multiple Choice Questions
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Key Terms and Concepts Questions
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Short Answer Questions
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Written Assignment
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Presentation Task
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Role-playing Activity
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Peer Review Task
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Exercises and Activities Adaptation
Week 6: Natural Language Processing
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Natural Language Processing
00:00 -
LO1: Explain Cognitive Models underlying Natural Language Processing
00:00 -
LO2: Describe AI-Driven Language Processing Techniques
00:00 -
LO3: Analyze NLP Applications using Cognitive Computing Approaches
00:00 -
Multiple Choice Questions
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True/False Questions
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Scenario-Based Multiple Choice Questions
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Key Terms and Concepts Questions
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Short Answer Questions
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Written Assignment
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Presentation Task
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Role-playing Activity
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Peer Review Task
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Exercises and Activities Adaptation
Week 7: Cognitive Robotics
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Cognitive Robotics
00:00 -
LO1: Explain Integration of Cognitive Models into Robotic Systems
00:00 -
LO2: Describe AI-Driven Autonomous Behavior in Cognitive Robotics
00:00 -
LO3: Analyze Robotic Systems that Mimic Human Cognitive Functions
00:00 -
Multiple Choice Questions
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True/False Questions
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Scenario-Based Multiple Choice Questions
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Key Terms and Concepts Questions
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Short Answer Questions
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Written Assignment
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Presentation Task
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Role-playing Activity
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Peer Review Task
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Exercises and Activities Adaptation
Week 8: Midterm Test or Assignment
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Mid Term
00:00 -
Multiple Choice Questions
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True/False Questions
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Scenario-Based Multiple Choice Questions
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Short Answer Questions
Week 9: AI-Driven Decision-Making
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AI-Driven Decision-Making
00:00 -
LO1: Explain Cognitive Processes involved in Decision-Making
00:00 -
LO2: Describe Reinforcement Learning Techniques in Artificial Intelligence
00:00 -
LO3: Analyze Decision-Making Models using Cognitive Computing Principles
00:00 -
Multiple Choice Questions
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True/False Questions
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Scenario-Based Multiple Choice Questions
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Key Terms and Concepts Questions
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Short Answer Questions
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Written Assignment
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Presentation Task
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Role-playing Activity
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Peer Review Task
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Exercises and Activities Adaptation
Week 10: Advanced Topics in Cognitive Neuroscience
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Advanced Topics in Cognitive Neuroscience
00:00 -
LO1: Describe Current Research Trends in Cognitive Neuroscience
00:00 -
LO2: Explain Applications of Neuroscience Research to Artificial Intelligence
00:00 -
LO3: Evaluate Advanced Cognitive Neuroscience Concepts relevant to AI Systems
00:00 -
Multiple Choice Questions
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True/False Questions
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Scenario-Based Multiple Choice Questions
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Key Terms and Concepts Questions
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Short Answer Questions
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Written Assignment
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Presentation Task
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Role-playing Activity
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Peer Review Task
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Exercises and Activities Adaptation
Week 11: Emotion and AI
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Emotion and AI
00:00 -
LO1: Explain Role of Emotion in Human Cognition
00:00 -
LO2: Describe Affective Computing Models in Artificial Intelligence
00:00 -
LO3: Analyze Emotion Recognition Systems using Cognitive Computing Techniques
00:00 -
Multiple Choice Questions
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True/False Questions
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Scenario-Based Multiple Choice Questions
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Key Terms and Concepts Questions
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Short Answer Questions
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Written Assignment
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Presentation Task
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Role-playing Activity
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Peer Review Task
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Exercises and Activities Adaptation
Week 12: Ethical Considerations in Cognitive Computing
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Ethical Considerations in Cognitive Computing
00:00 -
LO1: Explain Ethical Issues related to Cognitive Computing and Artificial Intelligence
00:00 -
LO2: Describe Privacy and Bias Concerns in Cognitive Systems
00:00 -
LO3: Evaluate Ethical Frameworks guiding Cognitive Computing Applications
00:00 -
Multiple Choice Questions
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True/False Questions
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Scenario-Based Multiple Choice Questions
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Key Terms and Concepts Questions
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Short Answer Questions
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Written Assignment
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Presentation Task
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Role-playing Activity
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Peer Review Task
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Exercises and Activities Adaptation
Week 13: Cognitive Computing in Health and Medicine
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Ethical Considerations in Cognitive Computing
00:00 -
LO1: Describe Applications of Cognitive Computing in Healthcare and Medicine
00:00 -
LO2: Explain Role of AI in Diagnostics and Therapeutic Decision-Making
00:00 -
LO3: Analyze Healthcare Case Studies using Cognitive Computing Systems
00:00 -
Multiple Choice Questions
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True/False Questions
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Scenario-Based Multiple Choice Questions
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Key Terms and Concepts Questions
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Short Answer Questions
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Written Assignment
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Presentation Task
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Role-playing Activity
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Peer Review Task
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Exercises and Activities Adaptation
Week 14: Future Trends in Cognitive Computing and Neuroscience
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Future Trends in Cognitive Computing and Neuroscience
00:00 -
LO1: Describe Emerging Trends in Cognitive Computing and Neuroscience
00:00 -
LO2: Explain Impact of Technological Innovations on Cognitive Systems
00:00 -
LO3: Evaluate Future Directions of Cognitive Computing Research
00:00 -
Multiple Choice Questions
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True/False Questions
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Scenario-Based Multiple Choice Questions
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Key Terms and Concepts Questions
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Short Answer Questions
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Written Assignment
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Presentation Task
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Role-playing Activity
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Peer Review Task
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Exercises and Activities Adaptation
Week 15: Course Review
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Course Review
00:00 -
LO1: Summarize Core Concepts covered throughout the Course
00:00 -
LO2: Analyze Integrated Cognitive Computing Scenarios
00:00 -
LO3: Prepare Comprehensive Understanding for Final Assessment
00:00 -
Multiple Choice Questions
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True/False Questions
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Scenario-Based Multiple Choice Questions
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Key Terms and Concepts Questions
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Short Answer Questions
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Written Assignment
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Presentation Task
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Role-playing Activity
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Peer Review Task
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Exercises and Activities Adaptation
Week 16: Final Test or Project
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Final Test
00:00 -
Multiple Choice Questions
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True/False Questions
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Scenario-Based Multiple Choice Questions
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Short Answer Questions
