COURSE DETAIL
COURSE DETAIL
COURSE DETAIL
Many phenomena in natural sciences and social sciences can be summarized as quantitative relationships expressed by differential equations. In particular, many laws in economics and finance can be described by differential equations. This course enables non-mathematics students to master the basic theories and methods of differential equations, and to cultivate their logical thinking ability and the ability to apply differential equations to solve practical problems. The course consists of two parts: ordinary differential equations and partial differential equations. The main topics include: first-order ordinary differential equations, high-order ordinary differential equations, linear ordinary differential equations, difference equations, basic partial differential equations (harmonic equation, heat conduction equation, wave equation), mathematical model of differential equations.
COURSE DETAIL
COURSE DETAIL
COURSE DETAIL
COURSE DETAIL
This course covers the concepts of complex numbers, systems of linear equations, vector space in Cn, matrix algebra, eigenvalues and eigenvectors, orthogonality, and normal matrices.
COURSE DETAIL
COURSE DETAIL
Systems biology is a new approach to biological and biomedical research based on a more holistic perspective and relies on the use of mathematical and computational models, with complementing experiments in the lab. This course provides an overview of systems biology and its building blocks, experimental approaches, and a variety of mathematical models and tools. Students are introduced to the mathematical basis of dynamic systems, networks, and constraint-based modeling. Examples used in the course include cancer metabolism (molecular modeling), neuroscience (tissue-level modeling), and diabetes (whole-body level modeling). Practical skills are trained by carrying out computer experiments.
COURSE DETAIL
The course provides rigorous theoretical foundation for key concepts appearing in Analysis: open sets, closed sets, continuous maps, continuity, differentiability, Riemann integral. This is done in the context of sets on the real line and of functions of one variable.
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