STSCI 4720

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  • Schedule of Classes - January 5, 2026 3:59PM EST

STSCI 4720
Applied Neural Networks

Course information provided by the 2025-2026 Catalog.

Neural networks form the backbone of modern artificial intelligence methodologies. This course will survey various neural networks architectures with a heavy emphasis on practical application to their specific data use cases. Students will explore how neural networks generalize classical statistical models and function estimation techniques, and how statistical principles inform model design, optimization, and evaluation. Topics include feedforward architectures, stochastic gradient descent, regularization and model selection, convolutional and recurrent networks, and an introduction to attention-based models.


Prerequisites An introductory course in statistics and python programming experience.

Last 1 Terms Offered (None)

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Syllabi: none

  •   Seven Week - First.  Combined with: STSCI 5720

  • 2 Credits Opt NoAud

  • 18323 STSCI 4720   LEC 001

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  • Instruction Mode: In Person

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