INFO 5390

INFO 5390

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

Algorithms increasingly guide high-stakes decision-making across many domains. This has potential upsides, since algorithms can improve decision-making, but also serious risks, since recent years have showcased the many ways that algorithms can be biased. This course will teach you principles for designing fair algorithms, emphasizing accessibility to a broad audience via practical takeaways which are directly relevant to the real world through case studies and guest speakers. Case studies will be drawn from diverse settings where algorithms are applied, such as large language models, speech recognition systems, healthcare, criminal justice, sustainability, and education. Students will come away with a strong understanding of how algorithm-related choices can have widespread societal impact.

When Offered Spring.

Comments Students should have experience coding in Python and have taken at least one introductory course in machine learning or data science.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Combined with: INFO 4390

  • 3 Credits Stdnt Opt

  • 19617 INFO 5390   LEC 001

    • TR Phillips Hall 203
    • Jan 22 - May 7, 2024
    • Koenecke, A

  • Instruction Mode: In Person