
Crash Course: Computer Vision
About the Course:
Visual computing lies at the intersection of computer science, mathematics, and design, focusing on how computers perceive, process, and generate visual information. This course introduces students to the fundamental principles behind image processing, computer vision, and graphics—technologies that enable machines to interpret the world through sight. Participants will explore how algorithms extract meaning from visual data, how 3D models and simulations are created, and how these techniques are applied in fields such as robotics, medicine, art, and artificial intelligence. Through lectures, demonstrations, and practical exercises, students will gain both conceptual understanding and technical skills in the rapidly evolving field of visual computing.
Mentors:

Aditi Palit
PhD in Computer Science | Ex-Adobe
Indian Institute of Science, Tripura
Starting Date:
November 16, 2025
Students will complete a final project of no more than 2,000 words, evaluated by the course mentors, with top submissions earning a certificate of distinction. All participants receive a certificate signed by the mentors upon successful completion.
All projects and related materials will be published on Prompt, Kuhiro Class’s engagement hub for academics, showcasing student research and fostering dialogue between emerging and established scholars in the field.
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Gain a foundational understanding of how the brain functions, from the firing of neurons to the emergence of complex behaviors and cognitive processes.
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Learn about the structure and organization of the nervous system, including how different brain regions contribute to perception, memory, movement, and emotion.
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Explore the neural basis of consciousness, learning, and decision-making, linking biological mechanisms to psychological experiences.
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Understand how neurological and psychiatric disorders such as epilepsy, Parkinson’s disease, or schizophrenia affect brain activity and behavior.
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Examine how modern neuroscience tools such as brain imaging, electrophysiology, and computational models are used to study the brain.
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Develop a critical awareness of the ethical and philosophical questions surrounding brain research and emerging neurotechnologies.
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Complete an independent short project or reflection that integrates neuroscience concepts with the student’s own academic or creative interests.
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