Jul 22, 2026  
Catalog 2026-2027 
    
Catalog 2026-2027

MATH 238 Differential Equations

5 credits


This course involves studies of first and second order differential equations. Topics covered include techniques for solving differential equations, series solutions, Laplace transforms, numerical approaches, and matrix methods to solve systems of linear differential equations. Real life modeling, applications, and data visualization using appropriate technology are emphasized. 

This course meets the Quantitative Reasoning  general education distribution requirement.

Prerequisites: MATH& 152  and ABED 46  or ELL 50  (or placement into ENGL 93 or higher)

Course Outcomes
Upon successful completion of this course, students will be able to:

  • Describe differential equations using appropriate mathematical notation, symbols, and graphs
  • Classify differential equations by order, linearity, and homogeneity
  • Solve first and second order linear differential equations
  • Solve linear equations with constant coefficients
  • Use separation of variables, method of undermined coefficients, and variation of parameters to solve differential equations
  • Use power series methods to solve differential equations
  • Determine whether a system of functions is linearly independent using the Wronksian
  • Use Laplace transforms and their inverses to solve differential equations
  • Solve systems of linear differential equations using matrix techniques and eigenvalues
  • Use numerical methods to solve differential equations
  • Model real-life applications using differential equations
  • Use technology for finding solutions and data visualization
  • Use the mathematical critical thinking skills of problem solving, pattern recognition, substitution, following structural rules, and quantitative modeling to solve problems requiring reasoning, critical thinking, and computation

College-Wide Learning Outcomes
This course teaches to the college-wide learning outcome of Problem Solving, the ability to analyze situations, explore possible responses, apply informed solutions, and evaluate results in relation to real‑world contexts.

Total Hours: 50 Theory (Lecture) Hours: 50