ORIE 5270

ORIE 5270

Course information provided by the Courses of Study 2021-2022.

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

  • 10686 ORIE 5270   LEC 001

    • MW Olin Hall 165
    • Jan 24 - May 10, 2022
    • Charisopoulos, V

  • Instruction Mode: In Person
    Enrollment restricted to graduate students. Early Admit MEng students and OR&E Honors Program students may enroll with department approval.