Apr 30, 2024  
Official Course Syllabi 2019-2020 
    
Official Course Syllabi 2019-2020 [ARCHIVED CATALOG]

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MATH 2770 - Differential Equations

Credit Hours: 4.00


Prerequisites: MATH 2000 and MATH 2760 with grade C or better, or equivalent college course

MATH 2770 is part of the sequence of courses required for most engineering, science, and mathematics majors and includes first order differential equations and their applications, higher order differential equations and their applications, differential operators, the Laplace Transform, systems of linear differential equations, series solutions of differential equations, and numerical methods for solving differential equations.

Contact Hours: 4

OUTCOMES AND OBJECTIVES
Outcome 1: Upon completion of this course, students will be able to solve separable, exact, first-order linear, and Bernoulli ordinary differential equations (ODE’s) by analytical and numerical methods.

Objectives:

  1. Identify separable ODEs and employ appropriate techniques to solve separable ODEs.
  2. Identify exact ODEs and employ appropriate techniques to solve exact ODEs.
  3. Identify first-order linear ODEs and employ appropriate techniques to solve first-order linear ODEs.
  4. Identify Bernoulli ODEs and employ appropriate techniques to solve Bernoulli ODEs.
  5. Identify separable ODEs and employ appropriate techniques to solve separable ODEs.
  6. Use the improved Euler formula to calculate numerical solutions over intervals to any of the above types of ODEs with initial conditions.

Outcome 2: Upon completion of this course, students will be able to apply differential equations to solve mathematical problems.

Objectives:

  1. Solve continuous growth and decay models.
  2. Solve cooling and warming models.
  3. Solve mixture models.
  4. Solve series circuit models.
  5. Solve orthogonal trajectory models.

Outcome 3: Upon completion of this course, students will be able to solve homogeneous and non-homogeneous higher order linear equations using the methods of undetermined coefficients and variation of parameters.

Objectives

  1. Solve homogeneous higher order ODEs using the superposition principle.
  2. Solve homogeneous higher order ODEs using the operator notation and by the annihilator approach.
  3. Solve non-homogeneous higher order ODEs using the method of undetermined coefficients.
  4. Solve non-homogeneous higher order ODEs using the method of variation of parameters.

Outcome 4: Upon completion of this course, students will be able to solve initial value problems using the Laplace transform.

Objectives

  1. Demonstrate knowledge of the values of the Laplace transform function.
  2. Demonstrate knowledge of the values of the inverse Laplace transform function.
  3. Demonstrate knowledge of the technique utilizing these functions to solve initial value problems.

Outcome 5: Upon completion of this course, students will be able to solve homogeneous and non-homogeneous systems by the Laplace transform, by using operators, and by using eigenvalues and eigenvectors.

Objectives

  1. Demonstrate knowledge of the technique utilizing the Laplace and inverse Laplace transforms to solve systems of ODEs with initial conditions.
  2. Demonstrate knowledge of the technique utilizing operator notation to solve systems of ODEs.
  3. Demonstrate knowledge of the technique utilizing matrix notation to solve systems of ODEs.

Outcome 6: Upon completion of this course, students will be able to solve differential equations by power series and by Frobeneous’s method.

Objectives:

  1. Find power series solutions about an ordinary point.
  2. Use Frobenius’ method to find series solutions about a regular singular point.

COMMON DEGREE OUTCOMES
(Bulleted outcomes apply to the course)

  1. The graduate can integrate the knowledge and technological skills necessary to be a successful learner.
  • 2. The graduate can demonstrate how to think competently.
  • 3. The graduate can demonstrate how to employ mathematical knowledge.
  1. The graduate can demonstrate how to communicate competently.
  1. The graduate is sensitive to issues relating to a diverse, global society.

COURSE CONTENT OUTLINE
  1. First Order Ordinary Differential Equations
    1. Separable ODEs
    2. Exact ODEs
    3. Homogeneous-of-Order-n ODEs
    4. Linear ODEs
    5. Bernoulli ODEs
    6. Applications of First Order ODEs
  2. Higher-Ordered ODEs
    1. Reduction of Order
    2. Homogeneous Linear ODEs with Constant Coefficients
    3. Undetermined Coefficients
    4. Variation of Parameters
    5. Cauchy-Euler Equations
    6. Series Solutions at Ordinary Points
    7. Series Solutions at Singular Points
  3. Initial Value Problems
    1. Direct solution of IVPs
    2. Laplace Transform and the Solution of an IVP of a Single ODE
    3. Laplace Transform and the Solution of an IVP of a System of ODEs
  4. Matrix Methods
    1. Homogeneous Linear Systems with Constant Coefficients
    2. Variation of Parameters for Systems of ODEs
  5. Numerical Methods
    1. Eulers Methods
    2. Runge-Kutta 4th Order Method

Primary Faculty
Halfaf, Matt
Secondary Faculty
Williams, Paul
Associate Dean
Somyak, Michael
Dean
Pritchett, Marie



Official Course Syllabus - Macomb Community College, 14500 E 12 Mile Road, Warren, MI 48088



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