ORIE 5270

Last Updated

  • Schedule of Classes - January 23, 2026 7:06PM EST

ORIE 5270
Big Data Technologies

Course information provided by the 2025-2026 Catalog.

This course offers a broad overview of computational techniques and mathematical skills useful for data scientists. Topics include: unix shell, regular expressions, version control: (git), data structures and algorithms, working with databases, data analysis using Python and related libraries (Pandas, NumPy/Scipy, scikit-learn), parallel computing (Map-Reduce, Spark, Hadoop), basic finite-precision arithmetic, an overview of standard machine learning and optimization algorithms, and time-permitting, a guided tour of functional programming. Students are expected to be comfortable in at least one programming language; Python will be used for most of the course


Last 4 Terms Offered 2026SP, 2025SP, 2024SP, 2023SP

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Syllabi: none

  •   Regular Academic Session. 

  • 2 Credits Graded

  • 13623 ORIE 5270   LEC 001

  •  
    • MW
    • Jan 20 - May 5, 2026

    • Zhang, Z

  • Instruction Mode: In Person

    Graduate students will be able to enroll in any remaining seats on a first-come, first-served basis beginning January 14 at 9am.