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MA 16290, Spring 2023
Data Science Labs: Calculus

Credit Hours: 1.00. This course consists of weekly computer laboratories which apply concepts learned in Calculus I and II to data science problems. Main topics covered include function sampling and approximation, numerical differentiation, numerical integration, Jupyter notebooks, introductory Python programming, object oriented programming, and data acquisition with microcontrollers and sensors.

Instructor Info

Section Room Time Instructor Office
001 BHEE 215 2:30PM T Jaxson Maka'ala Pahukula
002 BHEE 215 5:30PM R Jonathan Oppenheimer
003 BHEE 215 5:30PM W Yudon Shin
004 BHEE 215 2:30PM R Rishabh Dushyant Ashar

Important Notes

  • ADA policies: please see our ADA Information page for more details
  • In the event of a missed exam, see your instructor/professor as soon as possible.
  • See the online course evaluation page for more information on how we collect course feedback from students

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