ORIE 1380

ORIE 1380

Course information provided by the Courses of Study 2019-2020.

This course provides an introduction to data science. Given data from economics, medicine, biology, or physics, collected from internet denizens, survey respondents, or wireless sensors, how can one understand the phenomenon generating the data, make predictions, and improve decisions? We focus on building skills in inferential thinking and computational thinking, guided by the practical questions we seek to answer. The course teaches critical concepts and skills in computer programming and statistical inference, in conjunction with hands-on analysis of real-world datasets including economic data, document collections, geographical data, and social networks. We will also consider social issues in data analysis such as privacy and design.

When Offered Spring.

Comments Assumes basic high school mathematics. No calculus or programming experience required.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: CS 1380STSCI 1380

  • 4 Credits Stdnt Opt

  • 12351 ORIE 1380   LEC 001

    • TR Kimball Hall B11
    • Jan 21 - May 5, 2020
    • Entner, J

      Williamson, D

  • Instruction Mode: Hybrid - Online & In Person

  • 12352 ORIE 1380   DIS 201

    • W Upson Hall 202
    • Jan 21 - May 5, 2020
    • Entner, J

      Williamson, D

  • Instruction Mode: Hybrid - Online & In Person

  • 12353 ORIE 1380   DIS 202

    • W Upson Hall 202
    • Jan 21 - May 5, 2020
    • Entner, J

      Williamson, D

  • Instruction Mode: Hybrid - Online & In Person

  • 12354 ORIE 1380   DIS 203

    • W Upson Hall 202
    • Jan 21 - May 5, 2020
    • Entner, J

      Williamson, D

  • Instruction Mode: Hybrid - Online & In Person

  • 12355 ORIE 1380   DIS 204

    • R Hollister Hall 362
    • Jan 21 - May 5, 2020
    • Entner, J

      Williamson, D

  • Instruction Mode: Hybrid - Online & In Person