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Student Learning Outcomes

Discipline: Degree: AS-T - Mathematics - S0333
Course Name Course Number
C++ Language and Object Development CSCI 140
  • Students will be able to analyze problems and design algorithms in pseudocode.
  • Students will be able to use given classes and virtual functions in a class hierarchy to create new derived classes and the code that uses them.
  • Students will be able to read, understand and trace the execution of programs written in C++ language.
  • For a given algorithm students will be able to write modular C++ code using classes in an OOP approach.
Calculus and Analytic Geometry Math 180
  • Students can differentiate algebraic and transcendental functions
Calculus and Analytic Geometry Math 280
  • Students can evaluate multiple integrals to compute volumes, surface areas, moments and centers of mass, flux, and work.
  • Students can compute partial and directional derivatives for functions of several variables
  • Students can apply partial derivatives to optimization problems.
  • Students can analytically describe the physical states of objects with mass traveling in three dimensions.
Calculus and Analytic Geometry Math 180
  • Students can solve optimization problems.
  • Students can compute instantaneous rates of change in applications
  • Students can evaluate integrals of elementary functions using the method of substitution.
Calculus and Analytic Geometry Math 181
  • Students can integrate algebraic and transcendental function using a variety of techniques
  • Students can apply the definite integral to applications.
  • Students can determine convergence of infinite series of various forms using various techniques.
  • Students can describe objects algebraically and geometrically in various 2- or 3-dimensional coordinate systems.
Elementary Statistics Math 110
  • Using bivariate data, students will be able to determine whether a significant linear correlation exists between two variables and determine the equation of the regression line.
  • Students will be able to use sample statistics to develop a confidence interval for population parameters
  • Using sample statistics from one or more samples, students will be able to test a claim made about a population parameter.
  • Students will be able to determine descriptive statistics from a sample
  • Students will be able to use sample statistics to develop a confidence interval for population parameters. Using sample statistics from one or more samples, students will be able to test a claim made about a population parameter.
Elementary Statistics -Honors Math 110H
  • Students will be able to use sample statistics to develop a confidence interval for population parameters. Using sample statistics from one or more samples, students will be able to test a claim made about a population parameter.
  • Students will be able to determine descriptive statistics from a sample.
  • Students will be able to use sample statistics to develop a confidence interval for population parameters
  • Using sample statistics from one or more samples, students will be able to test a claim made about a population parameter
  • Using bivariate data, students will be able to determine whether a significant linear correlation exists between two variables and determine the equation of the regression line.
Engineering Physics PHYS 4A
  • Students will be able to correctly analyze non-constant forces that vary with time or position.
  • Students will be able to propagate uncertainty.
  • Students will be able to experimentally and analytically find the period of a physical pendulum.
  • Students will be able to draw free body diagrams appropriate to the situation presented.
  • Students will be able to integrate with respect to mass over objects and apply that knowledge to be able to solve problems related to center of mass, moment of inertia and gravitational field of objects.
  • Students will be able to write up lab findings scientifically.
Finite Mathematics Math 120
  • Students will be able to solve a linear programming problem using the geometric approach
  • Students will be able to solve a binomial probability distribution problem.
Linear Algebra and Differential Equations Math 285
  • Identify and solve the following ordinary differential equations (ODEs): separable, 1st order linear. Set up and solve differential equations for the following applications: simple and logistic population growth model, simple electric circuits, mixing, orthogonal trajectories. Plot slope fields and numerically solve 1st order differential equations using Euler's and Runga Kutta methods.
  • Demonstrate the operations of matrix algebra, row operations for linear systems, and the methods of Gaussian Elimination and matrix inversion for solving linear systems.
  • Evaluate determinants using cofactors and row operations. Demonstrate the properties of determinants and matrix inversion using cofactors.
  • Math students feel they have the resources necessary for their success.
  • Students will feel that mathematics is a beneficial part of their education
  • Students can prove and apply facts regarding vector spaces, subspaces, linear independence, bases, and orthogonality.
  • Solve problems pertaining to the definitions of vector space, subspace, span, linear dependence and independence, basis and dimension, row and column space and inner product space. Demonstrate the use of the Gram-Schmidt process for orthogonalization.
  • Solve problems pertaining to the definitions of linear transformation, kernel and range. Compute eigenvalues and eigenvectors. Diagonalize a square matrix, with the special case of orthogonal diagonalization of symmetric matrices. Demonstrate matrix representation of a linear transformation, change of bases. 6. Solve linear differential equations of order n with constant coefficients (homogeneous or non-homogeneous,) the methods of undetermined coefficients and variation of parameters with applications to RLC circuits or mass spring systems.
  • Express a linear system of differential equations in vector form, and then solve the system using eigenvalues and eigenvectors. Analyze non-linear systems numerically, including phase-plane analysis, using a computer algebra system.
  • Apply the Laplace Transform and its inverse, using the rules of the Laplace Transform, along with the 1st Shifting Theorem. Solve linear differential equations with constant coefficients using the Laplace Transform.
  • Solve ODEs using power series.