# MAT 292 Engineering Math I

Campus Location:
Georgetown, Dover, Stanton
Effective Date:
2021-51
Prerequisite:
MAT 283 or concurrent
Co-Requisites:

None

Course Credits and Hours:
3.00 credits
3.00 lecture hours/week
1.00 lab hours/week
Course Description:
 This course covers and applies fundamental mathematical procedures and processes to solve engineering problems. Topics include solutions of systems of linear algebraic equations, matrix row reduction techniques, vector spaces and subspaces, linear dependence, solution of ordinary differential equations of first-order and higher, initial value and boundary value problems, eigenvalue problems, and coupled linear ordinary differential equations. This course solves problems drawn from natural systems including circuits and mechanical oscillators.
Required Text(s):

Obtain current textbook information by viewing the campus bookstore online or visit a campus bookstore. Check your course schedule for the course number and section.

Mathematica

Schedule Type:
Classroom Course
Video Conferencing
Disclaimer:

None

Core Course Performance Objectives (CCPOs):
1. Classify, verify, and determine the existence and uniqueness of solutions to ordinary differential equations. (CCC 2, 6)
2. Solve problems involving first-order differential equations. (CCC 2, 6)
3. Solve problems involving higher-order differential equations. (CCC 2, 6)
4. Use numerical techniques to solve problems involving ordinary differential equations. (CCC 2, 6)
5. Perform operations on vector spaces. (CCC 2, 6)
6. Perform matrix operations, and use them to solve application problems. (CCC 2, 6)
7. Solve systems of first-order differential equations. (CCC 2, 6)

See Core Curriculum Competencies and Program Graduate Competencies at the end of the syllabus. CCPOs are linked to every competency they develop.

Measurable Performance Objectives (MPOs):

Upon completion of this course, the student will:

1. Classify, verify, and determine the existence and uniqueness of solutions to ordinary differential equations.
1. Classify differential equations by type, order, and linearity.
2. Verify that given functions are solutions of defined differential equations.
3. Examine initial value problems (IVP) to determine existence and uniqueness of solutions.
2. Solve problems involving first-order differential equations.
1. Construct and examine direction fields to obtain the solution for a given differential equation.
2. Solve first-order differential equations using separation of variables.
3. Solve linear first-order differential equations using integrating factors.
4. Construct and solve linear and nonlinear first-order differential equations from physical models.
5. Construct and solve systems of first-order differential equations from physical models.
3. Solve problems involving higher-order differential equations.
1. Distinguish between initial value problems (IVP) and boundary value problems (BVP).
2. Distinguish between solutions of homogeneous and nonhomogeneous higher-order differential equations.
3. Employ the reduction of order method to obtain the second solution of a higher-order differential equation.
4. Find the general solution of a linear homogeneous differential equation.
5. Find the general solution of a linear nonhomogeneous differential equation by using the method of undetermined coefficients.
6. Use variation of parameters to solve linear differential equations.
7. Solve mass-spring and analog circuits systems.
8. Solve applications of boundary value problems (BVP) in physical systems.
4. Use numerical techniques to solve problems involving ordinary differential equations.
1. Use the Euler and Runge-Kutta methods to approximate the solution of simple differential equations.
2. Calculate the errors in using the Euler and Runge-Kutta methods to solve differential equations.
3. Use a numerical solver employing the Euler and Runge-Kutta methods to solve differential equations.
5. Perform operations on vector spaces.
1. Add, subtract, multiply, and perform scalar and cross product operations on vectors, including applications.
2. Define and verify properties of vector space and subspace.
3. Construct a basis and determine the dimension of a given vector space.
4. Prove linear independence or dependence of a given set of vectors.
6. Perform matrix operations, and use them to solve application problems.
1. Perform matrix algebra on systems of matrices.
2. Solve systems of linear equations using Gaussian elimination and Gauss-Jordan elimination.
3. Determine the rank of a matrix, and use this rank to determine consistency of the solutions to a system of linear equations.
4. Determine the value and properties of the determinant of a matrix.
5. Solve systems of linear equations using the inverse matrix.
6. Solve systems of linear equations using Cramer’s rule.
7. Determine the eigenvalues and eigenvectors of a given matrix.
7. Solve systems of first-order differential equations.
1. Summarize the properties of systems of first-order differential equations.
2. Solve systems of first-order homogeneous differential equations using eigenvalue methods.
3. Solve systems of first-order nonhomogeneous differential equations.
4. Examine autonomous systems of first-order differential equations.
Evaluation Criteria/Policies:

90 100 = A
80 89 = B
70 79 = C
0 69 = F

Students should refer to the Student Handbook for information on the Academic Standing Policy, the Academic Integrity Policy, Student Rights and Responsibilities, and other policies relevant to their academic progress.

Calculated using the following weighted average

 Evaluation Measure Percentage of final grade 4 Tests (summative) (equally weighted) 75% Homework (formative) 15% Programming Assignments (formative) 5% Formative Assessments 5% TOTAL 100%
Core Curriculum Competencies (CCCs are the competencies every graduate will develop):
1. Apply clear and effective communication skills.
2. Use critical thinking to solve problems.
3. Collaborate to achieve a common goal.
4. Demonstrate professional and ethical conduct.
5. Use information literacy for effective vocational and/or academic research.
6. Apply quantitative reasoning and/or scientific inquiry to solve practical problems.
Program Graduate Competencies (PGCs are the competencies every graduate will develop specific to his or her major):

None

Disabilities Support Statement:

The College is committed to providing reasonable accommodations for students with disabilities. Students are encouraged to schedule an appointment with the campus Disabilities Support Counselor to request an accommodation needed due to a disability. A listing of campus Disabilities Support Counselors and contact information can be found at the disabilities services web page or visit the campus Advising Center.

Minimum Technology Requirements:
Minimum technology requirements for online, hybrid, video conferencing and web conferencing courses.