Complete your Fundamentals of Neuroscience MicroBachelors program with this comprehensive final examination covering neural properties and brain systems.
Complete your Fundamentals of Neuroscience MicroBachelors program with this comprehensive final examination covering neural properties and brain systems.
This proctored final examination assesses students' mastery of core concepts from the Fundamentals of Neuroscience MicroBachelors program. The exam comprehensively tests knowledge gained from three prerequisite courses: Electrical Properties of the Neuron, Neurons and Networks, and The Brain. Successful completion demonstrates proficiency in fundamental neuroscience concepts and earns students their MicroBachelors credential.
Instructors:
English
English
What you'll learn
Demonstrate comprehensive understanding of neuronal electrical properties
Show mastery of neural network principles and organization
Prove knowledge of brain structure and function
Apply fundamental neuroscience concepts to complex problems
Integrate learning from all prerequisite courses
Skills you'll gain
This course includes:
PreRecorded video
Proctored final exam
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Limited Access access
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Module Description
This final examination serves as the capstone assessment for the Fundamentals of Neuroscience MicroBachelors program. Students demonstrate their comprehensive understanding of neuroscience principles, including electrical properties of neurons, neural networks, and brain structure and function. The exam evaluates mastery of content from all three prerequisite courses, providing a thorough assessment of fundamental neuroscience knowledge.
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Instructor

8 Courses
Neuroscientist and AI Researcher Bridging Brain Science and Computer Vision
David Cox is a multidisciplinary researcher at the intersection of neuroscience, computer science, and artificial intelligence. He holds positions as an Assistant Professor of Molecular and Cellular Biology and Computer Science at Harvard University, where he is also a member of the Center for Brain Science. Cox's research focuses on understanding visual processing in both biological and artificial systems
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