Nov 21, 2024  
2017-2018 Course Catalog 
    
2017-2018 Course Catalog [ARCHIVED CATALOG]

Add to Portfolio (opens a new window)

MATH 2082 - Linear Algebra and Differential Equations

Credits: 5
Hours/Week: Lecture NoneLab None
Course Description: This course is intended for students majoring in chemistry, engineering, physics, science, mathematics, mathematics education, and computer science. This is a basic course in Differential Equations including ordinary differential equations, matrix formulation of linear systems, the nonhomogeneous case, variation of parameters, and undetermined coefficients. The companion topics from Linear Algebra include vector spaces, independence, bases, linear transformations, and eigenvectors. Use of a 3-D graphing calculator, such as a TI-Nspire, is required. Limited use of a computer algebra system will be made. Offered S.
MnTC Goals
None

Prerequisite(s): MATH 1082  with a grade of C or higher, or consent of instructor.
Corequisite(s): None
Recommendation: Assessment score placement in RDNG 1000  or above, or completion of RDNG 0900  or RDNG 0950  with a grade of C or higher.

Major Content
  1. Determinants
  2. Ordinary Differential Equations
    1. Higher-order linear differential equations
    2. Reduction of order
    3. Characteristic polynomials
    4. Nonhomogenous case
    5. Undetermined coefficients
    6. Variation of parameters
    7. Numerical solution of differential equations
    8. Power Series solutions
    9. Applications
    10. Systems of linear differential equations
  3. Systems of Linear Equations and Matrices
  4. Vector Spaces and Linear Transformation
    1. Definition
    2. Subspaces
    3. Linear Independence, linear combination and span
    4. Bases and dimension
    5. Linear transformations
    6. Eigenvalues and Eigenvectors

Learning Outcomes
At the end of this course students will be able to:

  1. Solve linear systems of equations by linear algebra and matrix methods.
  2. Determine dimension, basis, dependence, or independence properties of given vector spaces.
  3. Demonstrate critical and logical reasoning when solving problems.
  4. Perform basic matrix algebra computations by hand and using technology.
  5. Communicate clearly a problem¿s solution and its explanation for the intended audience in terms of the problem posed.
  6. Determine kernel, range, nullity, and rank of a given linear transformation.
  7. Solve a differential equation mostly by analytical methods and sometimes by graphical (slope field) and numerical (Euler’s or Runge-Kutta) methods.
  8. Solve homogeneous and nonhomogeneous first-order (and higher-order) differential equations by symbolic methods, including techniques of linear algebra and vector spaces.
  9. Solve physical problems using differential equations.
  10. Solve systems of differential equations.


Courses and Registration



Add to Portfolio (opens a new window)