Catalog Entries |
Fall 2024 Semester
Mar 19, 2025 |
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| DS 3000 - Foundations of Data Science |
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Introduces methods and concepts from linear algebra and probability that form a basis for modern machine learning. Emphasizes computational aspects using the Python programming language (the course assumes familiarity with Python). Students work with tensors (in NumPy) and may be tasked with implementing from scratch algorithms central to numerical linear algebra and introductory machine learning.
4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Data Science Department Course Attributes: NUpath Analyzing/Using Data, NUpath Natural/Designed World, Computer&Info Sci |
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