Worked examples (1) - Reducible Higher-Order ODEs | Solutions of First-Order and Reducible Higher-Order Ordinary Differential Equations - Mathematical Methods (Undergraduate Advanced)
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Solutions of First-Order and Reducible Higher-Order Ordinary Differential Equations - Mathematical Methods (Undergraduate Advanced)This course breaks down the key types of first-order ordinary differential equations (ODEs) — separable, homogeneous, exact, linear, and more — plus how to handle tricky non-homogeneous and inexact ones by transformations.
You’ll also learn how to reduce certain higher-order equations into first-order ones you already know how to solve.
The course is straight to the point, method-focused, and designed to build your confidence with step-by-step explanations and examples.
If you're a science, engineering, or math student or professional who wants clarity without fluff, this is for you.
This course breaks down the key types of first-order ordinary differential equations (ODEs) — separable, homogeneous, exact, linear, and more — plus how to handle tricky non-homogeneous and inexact ones by transformations. You’ll also learn how to reduce certain higher-order equations into first-order ones you already know how to solve. The course is straight to the point, method-focused, and designed to build your confidence with step-by-step explanations and examples. If you're a science, engineering, or math student or professional who wants clarity without fluff, this is for you.
MAT 241: Ordinary Differential EquationsComprehensive treatise of advanced calculus covering ordinary differential equations, finite differences, difference equations and numerical integration.
Curated for second-year students of engineering and physical sciences at University Of Ibadan, Nigeria. Students and professionals with a similar learning goal will also find this learning track useful.
Comprehensive treatise of advanced calculus covering ordinary differential equations, finite differences, difference equations and numerical integration. Curated for second-year students of engineering and physical sciences at University Of Ibadan, Nigeria. Students and professionals with a similar learning goal will also find this learning track useful.
MTH 202: Elementary Differential EquationsMastering differential equations is essential for modelling dynamic systems in science and engineering. This learning track delivers the complete MTH 202 curriculum based on NUC CCMAS standards, equipping you with the mathematical command to describe motion, analyse electrical circuits, and predict rates of change across physical phenomena.
This programme is targeted at undergraduates in mathematics, physics, engineering, and chemistry who possess a strong background in single and multivariable calculus. It also serves professionals requiring a rigorous, method-focused refresher on fundamental mathematical modelling tools.
You will achieve competence in classifying equations and deploying solution methods for first-order, reducible higher-order, and general linear ordinary differential equations. You will learn to solve systems of linear ODEs and apply these techniques directly to real-world physical and technical problems. Completion establishes the necessary foundation for advanced studies in partial differential equations, control theory, and advanced physics.
Mastering differential equations is essential for modelling dynamic systems in science and engineering. This learning track delivers the complete MTH 202 curriculum based on NUC CCMAS standards, equipping you with the mathematical command to describe motion, analyse electrical circuits, and predict rates of change across physical phenomena. This programme is targeted at undergraduates in mathematics, physics, engineering, and chemistry who possess a strong background in single and multivariable calculus. It also serves professionals requiring a rigorous, method-focused refresher on fundamental mathematical modelling tools. You will achieve competence in classifying equations and deploying solution methods for first-order, reducible higher-order, and general linear ordinary differential equations. You will learn to solve systems of linear ODEs and apply these techniques directly to real-world physical and technical problems. Completion establishes the necessary foundation for advanced studies in partial differential equations, control theory, and advanced physics.