This is the first in a two course calculus sequence in first year. Students with a strong background and interest in mathematics may want to take the more theoretical and challenging MATH 101A instead.
This is the second of a twosemester Calculus sequence. This course covers Polar Equations and their graphs, Sequences and Series, Vectors, Partial Derivatives and Linear Approximations, Maxima and Minima for functions of several variables, Lagrange Multipliers, Multiple Integrals, Vector Calculus, Green’s, Gauss’ and Stokes’ theorems.
This is the first course of a two semester sequence in linear algebra. This course gives a working knowledge of: systems of linear equations, matrix algebra, determinants, eigenvectors and eigenvalues, finitedimensional vector spaces, matrix representations of linear transformations, matrix diagonalization, changes of basis, Separable and firstorder linear equations with applications, 2nd order linear equations with constant coefficients, method of undetermined coefficients, Systems of linear ODE's with constant coefficients, Solution by eigenvalue/eigenvectors, Non homogeneous linear systems.
This course is for students who have not done math in Alevels or the equivalent. It prepares students to study calculus in following semesters.
This is the first in a two course calculus sequence in first year. Students with a strong background and interest in mathematics may want to take the more theoretical and challenging MATH 101A instead.
This is the second of a twosemester Calculus sequence. This course covers Polar Equations and their graphs, Sequences and Series, Vectors, Partial Derivatives and Linear Approximations, Maxima and Minima for functions of several variables, Lagrange Multipliers, Multiple Integrals, Vector Calculus, Green’s, Gauss’ and Stokes’ theorems.
This is the first course of a two semester sequence in linear algebra. This course gives a working knowledge of: systems of linear equations, matrix algebra, determinants, eigenvectors and eigenvalues, finitedimensional vector spaces, matrix representations of linear transformations, matrix diagonalization, changes of basis, Separable and firstorder linear equations with applications, 2nd order linear equations with constant coefficients, method of undetermined coefficients, Systems of linear ODE's with constant coefficients, Solution by eigenvalue/eigenvectors, Non homogeneous linear systems.
First order differential equations; modelling; second order linear equations; Damped motion in mechanical and electrical systems; Series solutions; Introduction to special functions; Laplace Transform; Fourier series; Partial differential equations; separation of variables and SturmLiouville problems.
Lie symmetry analysis of differential equations was initiated by the Norwegian mathematician Sophus Lie (1842  1899). Today, this area of research is actively engaged. In this course, we trace the mathematical idea of symmetry and provide the salient features on Lie theory of transformation groups with applications to ordinary and partial differential equations. The Lie approach is a systematic way of unraveling exact solutions of ordinary and partial differential equations. It works for linear as well as for nonlinear differential equations
This is the first course of a two semester sequence in linear algebra. This course gives a working knowledge of: systems of linear equations, matrix algebra, determinants, eigenvectors and eigenvalues, finitedimensional vector spaces, matrix representations of linear transformations, matrix diagonalization, changes of basis, Separable and firstorder linear equations with applications, 2nd order linear equations with constant coefficients, method of undetermined coefficients, Systems of linear ODE's with constant coefficients, Solution by eigenvalue/eigenvectors, Non homogeneous linear systems.
This is the first in a two course calculus sequence in first year. Students with a strong background and interest in mathematics may want to take the more theoretical and challenging MATH 101A instead.
This is the first course of a two semester sequence in linear algebra. This course gives a working knowledge of: systems of linear equations, matrix algebra, determinants, eigenvectors and eigenvalues, finitedimensional vector spaces, matrix representations of linear transformations, matrix diagonalization, changes of basis, Separable and firstorder linear equations with applications, 2nd order linear equations with constant coefficients, method of undetermined coefficients, Systems of linear ODE's with constant coefficients, Solution by eigenvalue/eigenvectors, Non homogeneous linear systems.
Write a concise and interesting paragraph here that explains what this course is about
Write a concise and interesting paragraph here that explains what this course is about
This is the first in a two course calculus sequence in first year. Students with a strong background and interest in mathematics may want to take the more theoretical and challenging MATH 101A instead.
This is the second of a twosemester Calculus sequence. This course covers Polar Equations and their graphs, Sequences and Series, Vectors, Partial Derivatives and Linear Approximations, Maxima and Minima for functions of several variables, Lagrange Multipliers, Multiple Integrals, Vector Calculus, Green’s, Gauss’ and Stokes’ theorems.
Advance Optimization technique
This is the second of a twosemester Calculus sequence. This course covers Polar Equations and their graphs, Sequences and Series, Vectors, Partial Derivatives and Linear Approximations, Maxima and Minima for functions of several variables, Lagrange Multipliers, Multiple Integrals, Vector Calculus, Green’s, Gauss’ and Stokes’ theorems.
This is the first in a two course calculus sequence in first year. Students with a strong background and interest in mathematics may want to take the more theoretical and challenging MATH 101A instead.
This is the second of a twosemester Calculus sequence. This course covers Polar Equations and their graphs, Sequences and Series, Vectors, Partial Derivatives and Linear Approximations, Maxima and Minima for functions of several variables, Lagrange Multipliers, Multiple Integrals, Vector Calculus, Green’s, Gauss’ and Stokes’ theorems.
The course is a continuation of the Physics narrative from PHY 101 and is generally concerned with nonclassical aspects on physics. We will emphasize the applications of quantum physics in microscopicscale physics, atomic and molecular structure and processes. Quantum mechanics answers such fundamental questions as why do pigments have the colors that they do, why are some materials hard and others soft, why do metals, for example, conduct electricity and heat easily, while glass doesn’t. Quantum physics also forms the basis of our understanding of the chemical world, materials science, as well as electronic devices permeating the modern digital age. The course is aimed at introducing the students to key concepts, devices and applications ranging from cosmology to medical physics, archeology to microscopy.
Provide updated status to HPC facility
Lie symmetry analysis of differential equations was initiated by the Norwegian mathematician Sophus Lie (1842  1899). Today, this area of research is actively engaged. In this course, we trace the mathematical idea of symmetry and provide the salient features on Lie theory of transformation groups with applications to ordinary and partial differential equations. The Lie approach is a systematic way of unraveling exact solutions of ordinary and partial differential equations. It works for linear as well as for nonlinear differential equations
Course is divided into three sections: Introduction to Fortran and Numerical methods, Problems in Physics and project. In the first section we will start with a quick tutorial of programming in general and with Fortran in particular in Linux environment. learn numerical techniques including numerical integration, differentiation and differential equations and linear algebra etc. Second section include specific problems from classical linear and non linear dynamics and quantum mechanics, also simulations methods molecular dynamics and Monte Carlo methods will be introduced. Finally students will choose a project .
Write a concise and interesting paragraph here that explains what this course is about
This course is for students who have not done math in Alevels or the equivalent. It prepares students to study calculus in following semesters.
This is the first in a two course calculus sequence in first year. Students with a strong background and interest in mathematics may want to take the more theoretical and challenging MATH 101A instead.
First order differential equations; modelling; second order linear equations; Damped motion in mechanical and electrical systems; Series solutions; Introduction to special functions; Laplace Transform; Fourier series; Partial differential equations; separation of variables and SturmLiouville problems.
This course essentially contains descriptions and analysis of the principle mathematical models that have been developed for the neurons during recent years. It also contains brief review of the basic neuroanatomical and neurophysiological facts that will form the focus of mathematical development. This course is designed for the students from a wide range of backgrounds from biological, physical and computational sciences and engineering.
This is the first course of the SSE calculus sequence
Second quarter of a three quarter calculus sequence
Third course in the SSE calculus sequence
This is the second of a twosemester Calculus sequence. This course covers Polar Equations and their graphs, Sequences and Series, Vectors, Partial Derivatives and Linear Approximations, Maxima and Minima for functions of several variables, Lagrange Multipliers, Multiple Integrals, Vector Calculus, Green’s, Gauss’ and Stokes’ theorems.
The Summer Research Experience will involve a week of lectures by different instructors on the math behind the proposed projects. The students will then select the project they would like to work on, break up into groups of four or so and spend the next three weeks doing, the background reading, the math and coding required in their project. The instructors will be available to guide the students through this process. At the end of the month they will make a poster presentation.
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