DS 3001
Foundations of Machine Learning
Course Description
This course exposes students to foundational knowledge in each of the four high level domain areas of data science (Value, Design, Analytics, Systems). This includes an emphasis on ethical issues surrounding the field of data science and how these issues originate and extend into society more broadly.
Instructors
Lei Li
Fall 2026
mowe 2:00pm - 3:15pm
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Rating
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Difficulty
3.99
GPA
Kaleigh O'Hara
Fall 2026
tuth 2:00pm - 3:15pm
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Rating
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Difficulty
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GPA
Cheng Peng
Fall 2026
mowe 5:00pm - 6:15pm
2.7
Rating
4.0
Difficulty
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GPA
Michael Freenor
Spring 2026
tuth 3:30pm - 4:45pm
3.8
Rating
4.0
Difficulty
3.95
GPA
Terence Johnson
Spring 2026
tuth 12:30pm - 1:45pm
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Rating
—
Difficulty
3.95
GPA
Ethan Nelson
Spring 2026
mowe 5:00pm - 6:15pm
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Rating
—
Difficulty
—
GPA
Brian Wright
Fall 2025
TuTh 9:30am - 10:45am
4.2
Rating
2.5
Difficulty
3.90
GPA
To Announced
Fall 2022
Th 3:30pm - 6:00pm
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Rating
—
Difficulty
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GPA
Adam Tashman
Fall 2021
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Rating
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Difficulty
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GPA