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
-
Introduction to Cognitive Computing and Neuroscience
03:59 -
LO1: Explain Core Concepts of Cognitive Computing and Neuroscience
13:53 -
LO2: Describe Relationship between Cognitive Science and Artificial Intelligence
14:26 -
LO3: Summarize Scope and Applications of Cognitive Computing based on Core Textbook
10:29 -
Multiple Choice Questions
-
True/False Questions
-
Scenario-Based Multiple Choice Questions
-
Key Terms and Concepts Questions
-
Short Answer Questions
-
Written Assignment
-
Presentation Task
-
Role-playing Activity
-
Peer Review Task
-
Exercises and Activities Adaptation
Week 2: Foundations of Cognitive Science
-
Foundations of Cognitive Science
04:00 -
LO1: Define Key Concepts of Cognitive Science
10:48 -
LO2: Explain Role of Brain–Computer Interfaces in Cognitive Systems
14:09 -
LO3: Analyze Cognitive Science Principles relevant to Computational Models
13:03 -
Multiple Choice Questions
-
True/False Questions
-
Scenario-Based Multiple Choice Questions
-
Key Terms and Concepts Questions
-
Short Answer Questions
-
Written Assignment
-
Presentation Task
-
Role-playing Activity
-
Peer Review Task
-
Exercises and Activities Adaptation
Week 3: Artificial Neural Networks and Cognitive Models
-
Artificial Neural Networks and Cognitive Models
03:55 -
LO1: Explain Structure and Function of Artificial Neural Networks
10:34 -
LO2: Describe Cognitive Models used to Simulate Human Cognition
12:21 -
LO3: Analyze Neural Network Designs for Cognitive Applications
12:27 -
Multiple Choice Questions
-
True/False Questions
-
Scenario-Based Multiple Choice Questions
-
Key Terms and Concepts Questions
-
Short Answer Questions
-
Written Assignment
-
Presentation Task
-
Role-playing Activity
-
Peer Review Task
-
Exercises and Activities Adaptation
Week 4: Learning and Memory in Cognitive Computing
-
Learning and Memory in Cognitive Computing
04:01 -
LO1: Explain Mechanisms of Learning and Memory in Biological and Artificial Systems
12:51 -
LO2: Describe Neural Network Training Techniques supporting Learning Processes
12:10 -
LO3: Analyze Computational Models of Memory based on Cognitive Neuroscience
11:02 -
Multiple Choice Questions
-
True/False Questions
-
Scenario-Based Multiple Choice Questions
-
Key Terms and Concepts Questions
-
Short Answer Questions
-
Written Assignment
-
Presentation Task
-
Role-playing Activity
-
Peer Review Task
-
Exercises and Activities Adaptation
Week 5: Perception and Neural Networks
-
Perception and Neural Networks
03:52 -
LO1: Explain Perceptual Processes in Human Cognition
12:56 -
LO2: Describe Neural Network Approaches for Image and Speech Recognition
12:16 -
LO3: Analyze Perception Models used in Cognitive Computing Systems
12:28 -
Multiple Choice Questions
-
True/False Questions
-
Scenario-Based Multiple Choice Questions
-
Key Terms and Concepts Questions
-
Short Answer Questions
-
Written Assignment
-
Presentation Task
-
Role-playing Activity
-
Peer Review Task
-
Exercises and Activities Adaptation
Week 6: Natural Language Processing
-
Natural Language Processing
04:02 -
LO1: Explain Cognitive Models underlying Natural Language Processing
11:40 -
LO2: Describe AI-Driven Language Processing Techniques
11:17 -
LO3: Analyze NLP Applications using Cognitive Computing Approaches
12:07 -
Multiple Choice Questions
-
True/False Questions
-
Scenario-Based Multiple Choice Questions
-
Key Terms and Concepts Questions
-
Short Answer Questions
-
Written Assignment
-
Presentation Task
-
Role-playing Activity
-
Peer Review Task
-
Exercises and Activities Adaptation
Week 7: Cognitive Robotics
-
Cognitive Robotics
03:47 -
LO1: Explain Integration of Cognitive Models into Robotic Systems
14:16 -
LO2: Describe AI-Driven Autonomous Behavior in Cognitive Robotics
13:12 -
LO3: Analyze Robotic Systems that Mimic Human Cognitive Functions
12:17 -
Multiple Choice Questions
-
True/False Questions
-
Scenario-Based Multiple Choice Questions
-
Key Terms and Concepts Questions
-
Short Answer Questions
-
Written Assignment
-
Presentation Task
-
Role-playing Activity
-
Peer Review Task
-
Exercises and Activities Adaptation
Week 8: Midterm Test or Assignment
-
Mid Term
08:57 -
Multiple Choice Questions
-
True/False Questions
-
Scenario-Based Multiple Choice Questions
-
Short Answer Questions
Week 9: AI-Driven Decision-Making
-
AI-Driven Decision-Making
03:51 -
LO1: Explain Cognitive Processes involved in Decision-Making
09:37 -
LO2: Describe Reinforcement Learning Techniques in Artificial Intelligence
12:05 -
LO3: Analyze Decision-Making Models using Cognitive Computing Principles
11:32 -
Multiple Choice Questions
-
True/False Questions
-
Scenario-Based Multiple Choice Questions
-
Key Terms and Concepts Questions
-
Short Answer Questions
-
Written Assignment
-
Presentation Task
-
Role-playing Activity
-
Peer Review Task
-
Exercises and Activities Adaptation
Week 10: Advanced Topics in Cognitive Neuroscience
-
Advanced Topics in Cognitive Neuroscience
04:04 -
LO1: Describe Current Research Trends in Cognitive Neuroscience
11:39 -
LO2: Explain Applications of Neuroscience Research to Artificial Intelligence
11:19 -
LO3: Evaluate Advanced Cognitive Neuroscience Concepts relevant to AI Systems
14:32 -
Multiple Choice Questions
-
True/False Questions
-
Scenario-Based Multiple Choice Questions
-
Key Terms and Concepts Questions
-
Short Answer Questions
-
Written Assignment
-
Presentation Task
-
Role-playing Activity
-
Peer Review Task
-
Exercises and Activities Adaptation
Week 11: Emotion and AI
-
Emotion and AI
03:54 -
LO1: Explain Role of Emotion in Human Cognition
11:31 -
LO2: Describe Affective Computing Models in Artificial Intelligence
12:35 -
LO3: Analyze Emotion Recognition Systems using Cognitive Computing Techniques
11:46 -
Multiple Choice Questions
-
True/False Questions
-
Scenario-Based Multiple Choice Questions
-
Key Terms and Concepts Questions
-
Short Answer Questions
-
Written Assignment
-
Presentation Task
-
Role-playing Activity
-
Peer Review Task
-
Exercises and Activities Adaptation
Week 12: Ethical Considerations in Cognitive Computing
-
Ethical Considerations in Cognitive Computing
04:00 -
LO1: Explain Ethical Issues related to Cognitive Computing and Artificial Intelligence
12:23 -
LO2: Describe Privacy and Bias Concerns in Cognitive Systems
10:56 -
LO3: Evaluate Ethical Frameworks guiding Cognitive Computing Applications
12:32 -
Multiple Choice Questions
-
True/False Questions
-
Scenario-Based Multiple Choice Questions
-
Key Terms and Concepts Questions
-
Short Answer Questions
-
Written Assignment
-
Presentation Task
-
Role-playing Activity
-
Peer Review Task
-
Exercises and Activities Adaptation
Week 13: Cognitive Computing in Health and Medicine
-
Cognitive Computing in Health and Medicine
03:59 -
LO1: Describe Applications of Cognitive Computing in Healthcare and Medicine
13:34 -
LO2: Explain Role of AI in Diagnostics and Therapeutic Decision-Making
12:32 -
LO3: Analyze Healthcare Case Studies using Cognitive Computing Systems
13:36 -
Multiple Choice Questions
-
True/False Questions
-
Scenario-Based Multiple Choice Questions
-
Key Terms and Concepts Questions
-
Short Answer Questions
-
Written Assignment
-
Presentation Task
-
Role-playing Activity
-
Peer Review Task
-
Exercises and Activities Adaptation
Week 14: Future Trends in Cognitive Computing and Neuroscience
-
Future Trends in Cognitive Computing and Neuroscience
04:10 -
LO1: Describe Emerging Trends in Cognitive Computing and Neuroscience
11:48 -
LO2: Explain Impact of Technological Innovations on Cognitive Systems
12:30 -
LO3: Evaluate Future Directions of Cognitive Computing Research
11:45 -
Multiple Choice Questions
-
True/False Questions
-
Scenario-Based Multiple Choice Questions
-
Key Terms and Concepts Questions
-
Short Answer Questions
-
Written Assignment
-
Presentation Task
-
Role-playing Activity
-
Peer Review Task
-
Exercises and Activities Adaptation
Week 15: Course Review
-
Course Review
03:55 -
LO1: Summarize Core Concepts covered throughout the Course
09:55 -
LO2: Analyze Integrated Cognitive Computing Scenarios
13:02 -
LO3: Prepare Comprehensive Understanding for Final Assessment
11:45 -
Multiple Choice Questions
-
True/False Questions
-
Scenario-Based Multiple Choice Questions
-
Key Terms and Concepts Questions
-
Short Answer Questions
-
Written Assignment
-
Presentation Task
-
Role-playing Activity
-
Peer Review Task
-
Exercises and Activities Adaptation
Week 16: Final Test or Project
-
Final Test
12:43 -
Multiple Choice Questions
-
True/False Questions
-
Scenario-Based Multiple Choice Questions
-
Short Answer Questions
