MA201MathematicsIntermediate Level
4.85 / 5.0
Linear Algebra & Optimization
Vector spaces, Singular Value Decomposition (SVD), Eigendecomposition, and Convex Optimization for AI applications.
Credits
3 Semester Units
Classroom
Euler Auditorium
Schedule
Fri 09:00 AM - 12:00 PM
Capacity
52 / 60 Students
Academic Enrollment
Fall 2026 Registration
Includes access to full lecture notes, assignment auto-evaluation, and live examination modules.
You are actively enrolled in this course!
Open in Student Portal →Status: Open for EnrollmentDean Certified
Comprehensive Weekly Syllabus
4 ModulesFundamental theorem of linear algebra.
Lecture Slides Available•Problem Sets Assigned
Diagonalization and quadratic forms.
Lecture Slides Available•Problem Sets Assigned
Lead Course Faculty
Prof. Richard Feynman
Department of Computing
Senior academic faculty member specializing in computational complexity, optimization paradigms, and applied artificial intelligence research.
Office Hours:Thu 3:00 - 5:00 PM
Location:Faculty Suite 402