Math 2.0

Resources: course-material

The resources of kind course-material in the catalogue, in the order of their titles. Each title links to the page of the resource.

TitleCreatorsYearTierDepthId
Exam 120106QK7RE1BRJ
Exam 1 solutions2010KGAJ6SX9GS
Exam 22010W5YWQTYNZF
Exam 2 solutions2010PRFPFSPV9P
Exam 320101ME7MY7CXB
Exam 3 solutions2010ZSY2EZRPJ2
Final Exam20106E4Q6VXDZS
Final exam with solutions2010A2JTCRKP2T
Lecture 10: The four fundamental subspaces2010PAFN60ETN9
Lecture 11: Matrix spaces; rank 1; small world graphs2010KNGR0XC23E
Lecture 12: Graphs, networks, incidence matrices2010CFGPJGZQXW
Lecture 13: Quiz 1 review20109T11P11AZR
Lecture 14: Orthogonal vectors and subspaces2010F5SGB10DKF
Lecture 15: Projections onto subspaces2010V0EHK45RM6
Lecture 16: Projection matrices and least squares2010TB6RVAGR3W
Lecture 17: Orthogonal matrices and Gram-Schmidt2010BMX18F658T
Lecture 18: Properties of determinants20102W51HVX0KN
Lecture 19: Determinant formulas and cofactors20106H5S48SEAV
Lecture 1: The geometry of linear equations20108HHATY82TR
Lecture 20: Cramer's rule, inverse matrix, and volume2010SSHWB0RVQ4
Lecture 21: Eigenvalues and eigenvectors2010Y6M9MYS338
Lecture 22: Diagonalization and powers of A2010NS5AN6XKZA
Lecture 23: Differential equations and exp(At)20109QWECMMJAN
Lecture 24: Markov matrices; fourier series2010ZR5WHVJ9GP
Lecture 24b: Quiz 2 review2010KPDFA3ZZRM
Lecture 25: Symmetric matrices and positive definiteness20109GRF9HSCC4
Lecture 26: Complex matrices; fast fourier transform2010SCM7S61HPR
Lecture 27: Positive definite matrices and minima2010QA776JGKTB
Lecture 28: Similar matrices and Jordan form201092ZGFVHM61
Lecture 29: Singular value decomposition2010Z1YWDHB4BC
Lecture 2: Elimination with matrices2010S43HMJH3WR
Lecture 30: Linear transformations and their matrices2010DQVK7JPF41
Lecture 31: Change of basis; image compression2010J280RTB4AG
Lecture 32: Quiz 3 review2010Z87XT3DXKR
Lecture 33: Left and right inverses; pseudoinverse2010GHM96M0CVS
Lecture 34: Final course review20108B91D9R4EY
Lecture 3: Multiplication and inverse matrices2010W9M8KRSAEN
Lecture 4: Factorization into A = LU2010SWJRNWJBQE
Lecture 5: Transposes, permutations, spaces R^n2010WF623CKR89
Lecture 6: Column space and nullspace2010QZN6PPP924
Lecture 7: Solving Ax = 0: pivot variables, special solutions2010KX8WV8ARVE
Lecture 8: Solving Ax = b: row reduced form R2010TD04Q7Q7WN
Lecture 9: Independence, basis, and dimension2010CRJ7SM9AVA
Problem Set 1 Solutions2010WNCJC4905G
Problem Set 10 Solutions2010F08HJD4NBW
Problem Set 2 Solutions2010MD3NFF05RC
Problem Set 3 Solutions2010K3ST4V1G5A
Problem Set 4 Solutions20101W6SW4RVZN
Problem Set 5 Solutions2010D9RQ1J5FFA
Problem Set 6 Solutions20105RWNKEBSCM
Problem Set 7 Solutions2010T63RCD6BRT
Problem Set 8 Solutions201025XBJ6NJ41
Problem Set 9 Solutions2010SJHHXJRQ0J