MA 259 - Differential Equations Description MA 259 is an introduction to Differential Equations. Differential equations topics include linear, separable, homogeneous, exact, homogeneous of degree zero, Bernoulli, higher-order equations, systems of differential equations, nonlinear systems, linearization, phase plane analysis, solutions by series, numerical methods, Picard’s method, and Laplace transforms. Applications include modeling with differential equations and systems of differential equations. Credit Hours: 4 Contact Hours: 4 Prerequisites/Other Requirements: MA 255 (C or Higher) English Prerequisite(s): None Math Prerequisite(s): None Course Corequisite(s): None Academic Program Prerequisite: None Consent to Enroll in Course: No Department Consent Required Dual Enrollment Allowed?: Yes Number of Times Course can be taken for credit: 1 Programs Where This Course is a Requirement: Pre-Physics, A.A. (General Transfer) General Education Requirement: None General Education Learner Outcomes (GELO): NA Course Learning Outcomes:
- Solve simple differential equations, including Separable, Homogeneous, Exact, First-Order Linear, homogeneous of degree zero, Bernoulli, and higher-order equations.
- Apply differential equations to real-world problems.
- Solve nth order Linear Differential Equations, especially those with constant coefficients.
- Solve systems of differential equations.
- Find Power Series solutions to differential equations.
- Phase plane analysis with nonlinear systems by utilizing linearization at equilibrium points and by identifying the solutions behavior.
- Demonstrate numerical methods for solving differential equations, and be able to use technology to implement these methods.
- Define Laplace Transform; state, prove, and use properties of Laplace Transform and their inverses, and use Laplace Transform to solve differential equations.
- Effectively organize communications, ensuring there is a clear introduction and conclusion, the content is well sequenced, and there are appropriate transitions.
- Clearly and completely state and describe a problem/issue.
- Complete work accurately with attention to detail.
Course Outline: I. Introduction to Differential Equations
A. Definition of Ordinary Differential Equations
B. General Solutions
C. Particular Solutions
D. Separable Equations
E. Homogeneous Equations
F. Exact Equations
G. First Order Linear Equations
H. Picard’s Method
I. Second Order Equations Reducible to First Order
J. Applications by Modeling with Differential Equations
II. Linear Differential Equations
A. Definition of nth Order Linear Differential Equations
B. Solutions of Equations with Constant Coefficients
C. Non-Constant Coefficients: Cauchy-Euler Equations
D. General Solution of Non-Homogeneous Equations
E. Method of Undetermined Coefficients
F. Variation of Parameters
G. Applications
III. Systems of Differential Equations
A. Definition of First Order Systems
B. Solution of Systems by Elimination or Substitution
C. Representation of Systems by Matrices
D. Solution of Systems by Eigenvectors
E. Non-Homogeneous Linear Systems
F. Nonlinear Systems
G. Identification of Equilibrium Points.
H. Linearization and Phase Plane Analysis
I. Applications by Modeling with Systems of Differential Equations
IV. Series Solutions
A. Power Series
B. Taylor Series
C. Operations with Series Including Re-indexing
D. Series Solutions: Ordinary Points
E. Series Solutions: Singular Points
V. Numerical Methods
A. Euler Method
B. Runge-Kutta Methods
C. Student Project Emphasizing Numerical Methods
VI. Laplace Transform
A. Definition of Laplace Transform
B. Computing Laplace Transform
C. Properties of Laplace Transform
D. Computing Inverse Laplace Transform
E. Solving Differential Equations using Laplace Transform
F. Engineering Applications of Laplace Transform Approved for Online and Hybrid Delivery?: No Instructional Strategies: Lecture: 10-80%
Facilitated discussion: 10-80%
Collaborative learning: 10-80%
Technology supplemented instruction: 10-60% Mandatory Course Components: Tests, Homework, and/or Projects and/or Quizzes , in-class Comprehensive Final Exam Equivalent Courses: None Name of Industry Recognize Credentials: NA
Course-Specific Placement Test: None Course Aligned with ARW/IRW Pairing: NA Mandatory Department Assessment Measures: None Course Type: Program Requirement- Offering designed to meet the learning needs of students in a specific GRCC program. Course Format: Lecture - 1:1 Total Lecture Hours Per Week: 4 People Soft Course ID Number: 104997 Course CIP Code: 27.01 Maximum Course Enrollment: 25 School: School of STEM Department: Mathematics Discipline: MA First Term Valid: Fall 2019 (8/1/2019) 1st Catalog Year: 2019-2020 Faculty Credential Requirements: 18 graduate credit hours in discipline being taught (HLC Requirement), Master’s Degree (GRCC general requirement), Other (list below) Faculty Credential Requirement Details: Master’s Degree in Mathematics, or in a closely related field. A strong background in Linear Algebra and Analysis is required. Major Course Revisions: N/A Last Revision Date Effective: 20240226T10:41:31 Course Review & Revision Year: 2028-2029
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