QF-Supported Study for Selected Open Courses
QF Academy builds an independent assessment route around selected MIT OpenCourseWare courses. Learners study the public OCW materials, then complete QF-created problem sheets, written submissions, and grading tasks for a QF certificate of completion.
Attribution and Independence
MIT OpenCourseWare materials are created and published by MIT OpenCourseWare. QF Academy is not affiliated with, endorsed by, sponsored by, certified by, or approved by MIT. Certificates issued through this route are QF Academy certificates and are not issued by MIT.
Selected OCW Study Routes
The first supported routes are listed below. More OCW-supported routes will be added over time, based on learner demand and how well the course fits QF's mathematical training pathways.
Matrix Methods in Data Analysis, Signal Processing, and Machine Learning
A route for learners who want to strengthen the linear algebra behind data analysis, signal processing, and machine learning.
- original QF problem sheets
- written submissions
- grading against QF completion criteria
- QF certificate of completion
Matrix Calculus for Machine Learning and Beyond
A route for learners who want to understand the differential calculus behind modern machine learning.
- original QF problem sheets
- written submissions
- grading against QF completion criteria
- QF certificate of completion
Applied Category Theory
A route for learners interested in compositional thinking across mathematics, computer science, systems, networks, and applied modelling.
- original QF problem sheets
- written submissions
- grading against QF completion criteria
- QF certificate of completion
More OCW-supported routes are planned. QF may also consider project completion support for suitable learners, depending on background, preparation, available time, and the chosen route.