ORIE 5270

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ORIE 5270

Course information provided by the Courses of Study 2023-2024.

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.  

When Offered Spring.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 2 Credits Graded

  •  9383 ORIE 5270   LEC 001

  • Enrollment restricted to ORIE MEng students. Other graduate students, Early Admit MEng students and OR&E Honors Program students may enroll with department approval during Add/Drop.