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Csci 353: Introduction to Numerical Methods

Computer & Information Science

This course provides an overview of numerical methods and optimization techniques, laying the foundation for advanced studies in machine learning, data science, and related engineering disciplines. It covers fundamental concepts like numerical errors and algorithm efficiency, delves into topics like interpolation, integration techniques, and matrix factorization, and explores various computational topics essential for data science and engineering.

3 Credits

Prerequisites

Instruction Type(s)

  • Lecture: Lecture for CSCI 353

Subject Areas

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