Teaching

SMART 365: Northern Lights

Intended for 3rd-5th grades, this course will introduce the fundamental physics of the Sun-Earth system that cause Northern lights in the night sky. The students will learn about the Earth's magnetic field, upper atmosphere, and ionosphere. In addition, the students will be introduced to the concept of Space Weather which determines the occurrence of Northern lights. The class will involve activities, experiments, games, and key Ińupiaq vocabulary related to northern lights.

For more information visit the SMART 365 Website:
https://spring365.alaska.edu/face-to-face-courses/northern-lights

PHYS 471: Machine Learning and Applications

The main goal of this course is to introduce the basics of machine learning and equip students with computational tools to explore machine learning principles. The course builds upon beginner level Python knowledge. The learning outcomes for this course are:

Be able to clean and prepare data sets for machine learning applications.
Be able to identify feature and target parameters for machine learning models.
Train different machine learning models using Python Sklearn Toolbox.
Validate and compare the performance of different machine learning models.
Use the tools developed in the course for different applications.

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