ADAN7603 · Advancing Studies
ADV
This course aims to teach students advanced AI algorithms and covers neural networks, deep learning architectures, and reinforcement learning. The course provides a high-level theoretical overview of each section and discusses practical applications through hands-on projects. The course uses Python as the programming language. Prerequisites: Data analysis and feature engineering, traditional machine learning theory and practice, python programming (intermediate level e.g., familiarity with sci-kit learn, matplotlib, NumPy, pandas), linear algebra, and first-order derivatives.
Course experience
Averages use the original five-point historical evaluation scale.
Organization
3.6 / 5
How well the course was organized
Challenge
4.1 / 5
How intellectually challenging students found it
Attendance
3.4 / 5
How necessary attendance was
Assignments
3.9 / 5
How helpful assignments were
Weekly effort
~8
hours per week
Estimated from the original workload response buckets. Individual sections may differ.
Instructor options
Ratings below reflect the evaluations connected to this course.
Across time
Available section-level results across semesters.
Spring 2025
2 sectionsFall 2024
2 sectionsSummer 2024
1 sectionSpring 2024
2 sectionsFall 2023
1 section