Tuesday, February 10, 2009

Paradigm of Mathematics Courses


Paradigm of Mathematics Courses

  • Algebra
  • Differential Calculus I
  • Mechanics I, Statics
  • Analytic Geometry
  • Integral Calculus I
  • Mechanics I, Dynamics
  • Linear Algebra
  • Differential Calculus II
  • Mechanics II, Dynamics of Particle
  • Solid Geometry
  • Integral Calculus II
  • Mechanics II, Dynamics of Solid Bodies
  • Differential Equations
  • Numerical Analysis I & II
  • Operations Research I & II
  • Probabilities and Statistics

Algebra and Geometry

  • Mathematical Induction
  • Partial Fraction
  • Series
  • Determinant and Matrix
  • Linear equations
  • Nonlinear equations
  • Coordinate system
  • Conic sections
  • Euclidean vector
  • Surfaces and Quadric Surfaces
  • Ruled Surface

Differential and Integral calculus

  • Function of one real variable
  • Limits of functions
  • Continuity
  • Derivative
  • Taylor series
  • Indefinite integral
  • Definite integral
  • Improper integral
  • Numerical integration

Newtonian Mechanics

  • Statics in plane
  • Application on equilibrium of 2D Force Systems
  • Statics in space
  • Friction
  • Center of gravity and centroid
  • Virtual work
  • Kinematic of a particle in a straight line
  • Kinematic of a particle in a plane
  • Relative motion in plane
  • Kinetics of a particle
  • Simple harmonic motion
  • Projectile motion
  • Dynamics of rigid body in a plane

Analytical Mechanics

  • Dynamics of a particles in 3D Dimensions
  • Rotating Axes
  • Component of velocity and acceleration in different coordinate systems
  • Foucault’s pendulum
  • Dynamic of rigid body in three dimensions
  • Eulerian angles
  • Moment on inertia
  • Equation of motion of rigid body
  • Euler equations
  • Generalized coordinate
  • Lagrange Equations
  • Hamilton functions
  • Routh Equations
  • Sturm–Louwville equation
  • Invariants
  • Hamilton–Jacobi equation

Linear algebra and Solid geometry

  • Vector Spaces
  • Linear Transformations
  • Eigenvalues and Eigenvectors
  • Inner product spaces
  • Bilinear and quadratic forms
  • Applications in Geometry

Advanced Calculus

  • Functions of several real variables
  • Partial derivatives
  • Maxima and minima
  • Multiple integrals
  • Line and surface integral
  • Using MATLAB Program

Differential Equations

  • Formation of ordinary differential equations(ODE’S)
  • ODE’S of first order and first degree
  • ODE’S of first order and higher degrees
  • Applications
  • Linear ODE’S of higher orders with constant coefficients and its applications
  • Linear ODE’S of higher orders with variant coefficients
  • Partial differential equations

Probabilities and Statistics

  • Sample Space
  • Random Variables
  • Some Discrete distributions
  • Some Continuous distributions
  • Bivariate and multivariate random variables
  • Some special Bivariate distributions
  • Mathematical Expectation
  • Least squared concept
  • Correlation and regression
  • Statistical tests most useful to software engineering
  • T-test, ANOVA and chi-squared
  • Design of experiments and testing of hypotheses
  • Statistical analysis of data from a variety of sources.
  • Applications of statistics to performance analysis
  • reliability engineering
  • Usability engineering
  • Cost estimation

Discrete mathematics

  • Sets
  • Relations
  • Functions
  • Mathematical logic
  • Group Theory
  • Counting Theory
  • Probability
  • Mathematical Induction
  • Recurrence Relations
  • Graph Theory
  • Trees
  • Boolean Algebra

Operations Research

  • Linear Programming
  • Non-linear programming
  • Geometric Programming
  • Dynamic Programming
  • Integer Programming
  • Game Theory
  • Decision Analysis
  • Queuing Theory
  • Inventory Theory

Numerical Analysis

  • Errors in Numerical Computations
  • Solutions of Non-Linear equations
  • Direct Methods for solving linear systems
  • Iterative Methods for solving linear systems
  • Interpolation Approximations
  • Polynomial Approximations
  • Numerical differential
  • Numerical Integration
  • Numerical methods for differential equations
  • Approximation theory

Mathematical and statistical Packages

  • Using Mathematica
  • Using MATLAB
  • Using in Matrices
  • Using in Functions
  • Using in Graphics
  • Using in Data Fitting
  • Applied statistics