Robotics 501: Mathematics for Robotics
5.0
(4)
27 learners
What you'll learn
This course includes
- 33.5 hours of video
- Certificate of completion
- Access on mobile and TV
Course content
1 modules • 26 lessons • 33.5 hours of video
Robotics 501: Mathematics for Robotics
26 lessons
• 33.5 hours
Robotics 501: Mathematics for Robotics
26 lessons
• 33.5 hours
- ROB 501: Mathematics for Robotics Introduction & Proof Techniques 01:18:39
- ROB 501: Induction, Fundamental Theorem, & Contradiction 01:20:43
- ROB 501: Abstract Linear Algebra 01:18:21
- ROB 501: Subspaces & Linear Independence 01:18:16
- ROB 501: Basis Vectors & Dimension 01:19:16
- ROB 501: Linear Operators & Eigenvalues 01:20:57
- ROB 501: Similar Matrices & Norms 01:19:07
- ROB 501: Inner Product Spaces 01:18:50
- ROB 501: Projection Theorem & Gram-Schmidt 01:20:24
- ROB 501: Normal Equations & Least Squares 01:21:12
- ROB 501: Symmetric & Orthogonal Matrices 01:23:05
- ROB 501: Positive Semi-Definite Matrices & Schur Complement Theorem 01:23:00
- ROB 501: Recursive Least Squares & Kalman Filter 47:48
- ROB 501: Least Squares & Probability 01:20:28
- ROB 501: Best Linear Unbiased Estimator 01:10:47
- ROB 501: QR Factorization 01:20:02
- ROB 501: Modified Gram-Schmidt & Minimum Variance Estimator 01:12:37
- ROB 501: Probability Space & Random Variables 01:17:26
- ROB 501: Gaussian Random Vectors 01:21:34
- ROB 501: Real Analysis & Normed Spaces 01:19:37
- ROB 501: Real Analysis & Interior of a Set 01:20:28
- ROB 501: Newton-Raphson Algorithm 01:20:00
- ROB 501: Cauchy Sequences 01:19:08
- ROB 501: Continuous Functions 01:17:38
- ROB 501: Weierstrass Theorem 01:18:07
- ROB 501: Final Class & Linear Programming 01:16:57
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