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Basics of Random Matrix Theory and Its Applications ( 9 REVIEWS )
1024 STUDENTS
That a matrix some or all of whose elements are random variables is considered as a Matrix-Valued random variable a.k.a. …
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1 YEAR LEVEL 2 - CERTIFICATE COURSE BADGE COURSE CERTIFICATE NUMBER OF UNITS
9
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0
5 HOURS, 45 MINUTES
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That a matrix some or all of whose elements are random variables is considered as a Matrix-Valued random variable a.k.a. Random Matrix. Mathematically represented Matrix Problems can be found in many important properties of physical systems. Through this Basics of Random Matrix Theory and Its Applications you will be able to solve the problems like the thermal conductivity of a lattice computing from the dynamical matrix of the particle-particle interactions with the lattice.
Assessment This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.
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Basics of Random Matrix Theory and Its Applications - Edukite
Course Credit: MIT
COURSE CURRICULUM
Jacobian Code
00:15:00
Why are Random Matrices Cool?
00:30:00
Class Handout
00:30:00
Class Handout Addendum (Handbook of Matrix Jacobians)
00:30:00
Class Handout
00:30:00
Professor Edelman’s Thesis with some of the Eigenvalue Density Formulas
03:00:00
Multivariate Orthogonal Polynomials Handout
00:30:00
Assessment
Submit Your Assignment
00:00:00
Certi cation
00:00:00
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