ADAN7220 · Advancing Studies
ADV
Machine learning is the design of algorithms that routinely learn and adapt with use to discover hidden properties, patterns, and trends in complex data. This is a semester course on foundational methods in linear algebra and vector calculus to understand the structure and dimensionality of large and complex datasets.
Course experience
Averages use the original five-point historical evaluation scale.
Organization
4.8 / 5
How well the course was organized
Challenge
4.6 / 5
How intellectually challenging students found it
Attendance
4.6 / 5
How necessary attendance was
Assignments
4.6 / 5
How helpful assignments were
Weekly effort
~7
hours per week
Estimated from the original workload response buckets. Individual sections may differ.
Instructor options
Ratings below reflect only recovered evaluations connected to this course.
Across time
Section-level results available in the recovered archive.
Spring 2025
2 sections2024FALL1
1 sectionFall 2024
1 sectionSummer 2024
1 sectionSpring 2024
2 sectionsFall 2023
1 sectionMidterm Fall 2023
1 sectionSummer 2023
1 sectionSpring 2023
1 sectionFall 2022
1 section