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February 7, 2025
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Develop connections between our understanding of human minds and artificial minds in the field of cognitive science.
Discover and synthesize research in various disciplines related to cognitive science (e.g. computer science, psychology, neuroscience).
Connect cognitive science principles and ideas to your own understanding.
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This specialization examines the ways in which our current understanding of human thinking is both illuminated and challenged by the evolving techniques and ideas of artificial intelligence and computer science. Our collective understanding of “minds” – both biological and computational – has been revolutionized over the past half-century by themes originating in fields like cognitive psychology, machine learning, neuroscience, evolutionary psychology, and game theory, among others. This specialization focuses on both the larger “historical” arc of these changes as well as current research directions and controversies.
Applied Learning Project
By completing the Mind and Machine specialization, students will be able to: (1) demonstrate their understanding of topics and strategies through quizzes, and (2) discuss and debate different arguments and interpretations of philosophical issues in discussions and peer-reviewed activities.
Describe the details of the Turing test, including its purpose, limitations, and potential impact.
Describe the details of Searle’s Chinese Room thought experiment, including its purpose, limitations, and potential impact.
Discuss previous and current attempts to create artificial systems that can pass the Turing Test in various domains.
Compute and outline the limitations of exponential and factorial growth functions.
Ascribe human and computational problems to various definitions of difficulty and problem solving techniques.
Use problem solving strategies to break down problems.
Describe the effects of various sources of bias in judgement and decision making.
Analyze and apply heuristic models and probability modeling to a variety of decision making scenarios.
Apply various models of human and machine vision and discuss their limitations.
Demonstrate the geon model of object recognition and its limitations.
Argue the benefits and drawbacks of the symbolist and visualist perspectives of mental imagery.
Recognize the single layer and multi-layer perceptron neural network models of artificial intelligence.
Model the effects of multiple decision maker systems in various scenarios.
Analyze the Prisoner’s Dilemma and other Game Theory scenarios as a model of decision making and behavioral adaptation.
Discuss the relationships in genetic evolution models and developmental models of judgement and decision making.
Implement the design of autonomous agents as artificial life.
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The Specialization takes approximately 15 weeks to complete.
No background knowledge is necessary.
It is recommended you complete the courses in order.
University credit is not currently offered for this Specialization.
By completing this Specialization, you will be able to demonstrate your understanding of topics and strategies and discuss and debate different arguments and interpretations of philosophical issues as they relate to the mind and machines.
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.
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