INFO 5001

INFO 5001

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

This is an applied course for data scientists with little-to-no programming experience who wish to harness growing digital and computational resources. The focus of the course is on generating reproducible research using programming languages and version control software. Major emphasis is placed on a pragmatic understanding of core principles of programming and packaged implementations of methods. Students will leave the course with basic computational skills implemented through many computational methods and approaches to data science; while students will not become expert programmers, they will gain the knowledge of how to adapt and expand these skills as they are presented with new questions, methods, and data.

When Offered Fall.

  • Construct and execute basic programs using elementary programming techniques (e.g. loops, conditional statements, user-defined functions
  • Implement data science workflows using common, reproducible methods and software tools.
  • Implement statistical learning and machine learning algorithms for a range of data structures.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion.

  • 4 Credits Stdnt Opt

  • 19533 INFO 5001   LEC 001

    • MW Upson Hall 206
    • Aug 21 - Dec 4, 2023
    • Soltoff, B

  • Instruction Mode: In Person

  • 19534 INFO 5001   DIS 201

  • Instruction Mode: In Person