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Explores health, disease, morbidity, and their impact on development and economic growth.

Explores solving systems of equations using matrices and determinants.

Explores eigenvalues, determinants, traces, and stochastic matrices in discrete dynamical systems.

Explores health, disease, morbidity, and their interactions in the context of development.

Explores determinants in 3D space and their role in linear algebra.

Covers Cramer's Rule, matrix inverse, determinants, and volume in linear algebra.

Explores interlacing family, matrix determinant lemma, and random matrix characteristics.

Covers the calculation of determinants in matrix algebra and their application in solving linear equations.

Covers Cramer's Rule for solving linear equations using determinants.

Covers linear algebra in three dimensions, focusing on matrices and determinants.