INFO 6960
Last Updated
- Schedule of Classes - June 7, 2023 8:54PM EDT
- Course Catalog - June 7, 2023 7:14PM EDT
Classes
INFO 6960
Course Description
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.
Regular Academic Session.
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Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
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Class Number & Section Details
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Meeting Pattern
- W Frank H T Rhodes Hall 253
- Jan 23 - May 9, 2023
Instructors
Koenecke, A
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Additional Information
Instruction Mode: In Person
Restricted to INFO PhD students only. Non-PhD students should email courses@cis.cornell.edu for permission to enroll.
Regular Academic Session.
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Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
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Class Number & Section Details
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Meeting Pattern
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W
Bloomberg Center 397
Cornell Tech - Jan 23 - May 9, 2023
Instructors
Koenecke, A
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W
Bloomberg Center 397
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Additional Information
Instruction Mode: Distance Learning-Synchronous
Taught in NYC, Streamed from Ithaca. Enrollment limited to Cornell Tech PhD Students only.
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