Computational and Quantitative Biology PhD

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    Physics and Mathematics for Life Sciences

    Lecturers

    • TBD

     

    Time and Credits

    This course amounts 6 ECTS (30 hours) 

    Overview

    1. Elements of advancer  linear algebra: Vector spaces, Maximal Linearly Independent Subsets, Linear Transformations, Null Spaces, and Rangesefficients, Elementary Matrix Operations and Elementary Matrics, The Rank of a Matrix and Matrix Inverses, Systems of Linear Equations-Theoretical Aspects, Systems of Linear Equations-Computational Aspects, Determinants, Eigenvalues and Eigenvectors, Diagonalizability, Matrix Limits and Markov Chains,  The Adjoint of a Linear Operator, Unitary and Orthogonal Operators and Their Matrices
    2. Elements of calculus: review of elementary functions, derivative Velocity and tangent lines (derivative concepts) and formal definitions of limits, continuity, and derivative, power law rule for differentiation.  Introduction to differential equations and linear differential equations; Riemann sums and numerical integration; Qualitative theory of differential equations and review

    Schedule

    • TBD

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