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.

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

  • 4 Credits Stdnt Opt

  • 12351ORIE 1380  LEC 001

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

      Williamson, D

  • Instruction Mode: Hybrid - Online & In Person

  • 12352ORIE 1380  DIS 201

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

      Williamson, D

  • Instruction Mode: Hybrid - Online & In Person

  • 12353ORIE 1380  DIS 202

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

      Williamson, D

  • Instruction Mode: Hybrid - Online & In Person

  • 12354ORIE 1380  DIS 203

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

      Williamson, D

  • Instruction Mode: Hybrid - Online & In Person

  • 12355ORIE 1380  DIS 204

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

      Williamson, D

  • Instruction Mode: Hybrid - Online & In Person