INFO 6960

Last Updated

  • Schedule of Classes - April 4, 2023 12:09PM EDT
  • Course Catalog - April 3, 2023 12:59PM EDT

INFO 6960
Data Science for Global Development

Course information provided by the Courses of Study 2022-2023.

This seminar will showcase a variety of methods common to global development research across disciplines – from machine learning to statistics to economics to public health – and will instruct on both (a) reading out-of-discipline papers and (b) writing for a multidisciplinary audience.  Weekly lectures will each focus on a different sustainable development goal through an academic lens, and will include guided paper discussions, student presentations, and featured guest lecturers spanning academia, non-profits, and NGOs.

When Offered Fall or Spring.

Permission Note Enrollment limited to: graduate students.

Course Attribute (CU-ITL)

Comments Only offered Fall of every other year.

Outcomes
  • Solidify students' ability to read papers and understand data science methods used to study development across fields (including computer science, economics, public health, and sociology literature).
  • Increase students' presentation skills of advanced computational research methods across disciplines.
  • Demonstrate students' written communication of data science research for interdisciplinary audiences.

View Enrollment Information

Syllabi: none

  •   Regular Academic Session. 

  • 3 Credits Stdnt Opt

  • 18717 INFO 6960   SEM 101

  •  

  • Instruction Mode: In Person
    Restricted to INFO PhD students only. Non-PhD students should email courses@cis.cornell.edu for permission to enroll.

Syllabi: none

  •   Regular Academic Session. 

  • 3 Credits Stdnt Opt

  • 19257 INFO 6960   SEM 130

  •  

  • Instruction Mode: Distance Learning-Synchronous
    Taught in NYC, Streamed from Ithaca. Enrollment limited to Cornell Tech PhD Students only.