Aug 16, 2022
College Catalog 2022-2023
 Select a Catalog College Catalog 2022-2023 Archived Course Descriptions Workforce and Continuing Education Catalog 2022-2023
 HELP College Catalog 2022-2023 Print-Friendly Page (opens a new window)

# MATH 2770 - Differential Equations

Credit Hours: 4.00

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

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.

Billable Contact Hours: 4

Search for Sections
Transfer Possibilities
Michigan Transfer Network (MiTransfer) - Utilize this website to easily search how your credits transfer to colleges and universities.
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 (CDO)
• Communication: The graduate can communicate effectively for the intended purpose and audience.
• Critical Thinking: The graduate can make informed decisions after analyzing information or evidence related to the issue.
• Global Literacy: The graduate can analyze human behavior or experiences through cultural, social, political, or economic perspectives.
• Information Literacy: The graduate can responsibly use information gathered from a variety of formats in order to complete a task.
• Quantitative Reasoning: The graduate can apply quantitative methods or evidence to solve problems or make judgments.
• Scientific Literacy: The graduate can produce or interpret scientific information presented in a variety of formats.

CDO marked YES apply to this course:
Critical Thinking: YES
Quantitative Reasoning: YES
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
McMillen, Lisa
Dean
Pritchett, Marie

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