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Outreach Internship programs

James O. D. Hunt edited this page Jan 19, 2023 · 49 revisions
Program Duration Number of students Hours of dedication (students)
NDSU Capstone Class January - May 2023 4-6 Students in their last year of university 4-6 hours a week/student
Boston University Fundamentals of Cloud Computing Class September - December 2022 4-6 Students 4-6 hours a week/student
NDSU Capstone Class January - May 2022 4-6 Students in their last year of university 4-6 hours a week/student
Outreachy 1st Rotation, May - August; 2nd Rotation, December - March 1 Intern 40 hours a week
Google Summer of Code April - August 1-4 Interns 40 hours a week
Google Season of Docs April - November 1 Intern 5-30 hours a week

NDSU Capstone Class (January - May 2023)

Students

Name GitHub ID Slack ID
Alec Pemberton
Gabriel Venberg
Juaniaga (Jenny) Okugas
Maxwell Wendlandt

Community Contacts

Name Role GitHub ID Slack ID email
Treva N. Williams Coordinator OGtrilliams @trilliams
James Hunt Mentor jodh-intel @jodh james.o.hunt@intel.com

Boston University 2022

Coordinator: Treva N. Williams treva@openinfra.dev (GitHub: OGtrilliams, Slack: @trilliams).

Etherpad: https://etherpad.opendev.org/p/BU22-kata-containers

GitHub project: https://github.com/orgs/kata-containers/projects/35

Students

Name GitHub ID Slack ID
Alex Lee alexlee-23 @Alex Lee
Dabin Jang DabinJang96 @Dabin Jang
Junyi Tang junyitang2-cyber @Junyi Tang
Tingzhou Yuan tzy15368 @Tingzhou Yuan
Zhenhuan Wu Wu-Zhenhuan @Zhenhuan Wu

Mentors

Name GitHub ID Slack ID
Chao Wu studychao @Chao Wu
James Hunt jodh-intel @jodh
Tim Zhang Tim-0731-Hzt @Tim Zhang

NDSU Capstone Class (2022)

The plan is to increase unit test coverage of the Kata Containers agent by writing additional tests for the various aspects of the agent. As tests are written, small bugs will also be discovered and we plan to resolve these while working on the tests. As tests are written, there is likely to be code that needs to be refactored in some way to make it more testable. We will improve the overall design of the component to facilitate this. During the learning process, we plan to identify any possible improvements to the project and code documentation and implement these.

Issues being worked on

Students: bradenrayhorn garrettmahin glyphek Shensd

Mentors: fidencio jodh-intel

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