MA 257 - Differential Equations and Linear Algebra Description MA 257 is an introduction to Differential Equations and Linear Algebra. Differential equations topics include linear, separable, homogeneous and exact equations; systems of differential equations; solutions by series, numerical methods and Laplace transforms. Linear algebra topics include systems of linear equations, matrices, determinants, vector spaces and linear transformations. Applications are incorporated when appropriate. Credit Hours: 4 Contact Hours: 4 School: School of STEM Department: Mathematics Discipline: MA Last Revision Date Effective: 2017-04-14 09:01:06 Course Review & Revision Year: 2024-2025 Course Type: Program Requirement- Offering designed to meet the learning needs of students in a specific GRCC program. Course Format: Lecture - 1:1
General Education Requirement: None General Education Learner Outcomes (GELO): NA Course Learning Outcomes:
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Effectively organize communications ensuring there is a clear introduction and conclusion, the content is well sequenced, and there are appropriate transitions.
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Clearly and completely state and describe a problem/issue.
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Complete work accurately, with attention to detail.
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Solve simple differential equations, including Separable, Homogeneous, Exact, First-Order Linear, and Reducible to 1st Order.
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Apply differential equations to real-world problems.
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Apply properties of Matrices and Determinants in connection with their computations and applications.
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State definitions of Vector Space, Subspaces, Linear Dependence/Independence, Bases, Dimension, Linear Transformations and Differential Operators, and write correct proofs of statements associated with these.
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Solve nth order Linear Differential Equations, especially those with constant coefficients.
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Solve systems of differential equations.
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Find Power Series solutions to differential equations.
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Demonstrate numerical methods for solving differential equations, and be able to use technology to implement these methods.
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Define Laplace Transforms; state, prove and use properties of Laplace Transforms and their inverses; and use Laplace Transforms to solve differential equations.
Approved for Online Delivery?: No 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. Second Order Equations Reducible to First Order
I. Applications
II. Matrices and Determinants
A. Systems of Linear Equations
B. Matrices and Vectors
C. Matrix Operations
D. Determinants
E. Cramer’s Rule
F. The Inverse of a Matrix
III. Vector Spaces and Linear Transformations
A. Vector Spaces
B. Subspaces and Spanning Sets
C. Linear Independence of Vectors
D. The Wronskian
E. Basis and Dimension of a Vector Space
F. Linear Transformations
G. Matrix Representation of Linear Transformations
H. Kernel and Range
I. Differential Operators
J. Multiplication of Differential Operators
K. Eigenvalues and Eigenvectors, including Complex Numbers Cases
IV. 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
V. 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. Applications
VI. 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
VII. Numerical Methods
A. Euler Method
B. Runge-Kutta Methods
VIII. Laplace Transforms
A. Definition of Laplace Transform
B. Computing Laplace Transforms
C. Properties of Laplace Transform
D. Computing Inverse Laplace Transforms
E. Solving Differential Equations using Laplace Transforms Mandatory CLO Competency Assessment Measures: None Name of Industry Recognize Credentials: None Instructional Strategies: Lecture: 10-80%
Facilitated discussion: 10-80%
Collaborative learning: 10-80%
Technology supplemented instruction: 10-60%
Mandatory Course Components: Tests Projects and/or Homework and/or Quizzes Comprehensive, in-class Final Exam Academic Program Prerequisite: None Prerequisites/Other Requirements: MA 255 (C or Higher) English Prerequisite(s): None Math Prerequisite(s): None Course Corerequisite(s): None Course-Specific Placement Test: None Consent to Enroll in Course: No Department Consent Required Total Lecture Hours Per Week: 4 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 with at least 18 semester hours of graduate work in mathematics. A strong background in Linear Algebra and Analysis is required. Maximum Course Enrollment: 25 Equivalent Courses: None Dual Enrollment Allowed?: Yes Advanced Placement (AP) Exam Credit Accepted: None AP Min. Score: NA Number of Times Course can be taken for credit: 1 Programs Where This Courses is a Requirement: Pre-Physics, A.A. (General Transfer) Course Fees: $19.00 People Soft Course ID Number: 101090 Course CIP Code: 27.01 High School Articulation Agreements exist?: No If yes, with which high schools?: NA Non-Credit GRCC Agreement exist?: No If yes, with which Departments?: NA Corporate Articulation Agreement exist?: No If yes, with which Companies?: NA
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