A Differential Equations class focuses on mathematical equations involving derivatives, emphasizing how quantities change and applying this understanding to real-world phenomena. Students learn to classify and solve ordinary differential equations using analytical methods like separation of variables and integrating factors or numerical techniques such as Euler’s and Runge-Kutta methods. The course covers theoretical concepts like existence and uniqueness theorems, stability analysis, and qualitative methods, with advanced topics including systems of equations and nonlinear dynamics. Emphasis is placed on mathematical reasoning, problem-solving, and computational methods, equipping students to analyze and solve dynamic systems across various disciplines.
Note 1 (Sec 1.1 - 1.2): First-Order Equations / Antiderivatives (Post)
Note 6 (Sec 2.2): Equations with Constant Coefficients (Post)
Note 8 (Sec 2.4): Equations with Variable Coefficients (Post)
Note 9 (Sec 3.1): Definition of Laplace Transforms and Their Basic Properties (Post)
Note 13 (Sec 4.1): Linear Systems vs. Second-Order Equations (Post)
Note 15 (Sec 4.2 - 4.3): Differential Equations and Equilibria / The Eigenvalue Problem (Post)
Note 16 (Sec 4.4): Solving Linear Systems; Real Unequal Eigenvalues (Post)
Note 17 (Sec 4.4): Solving Linear Systems; Complex Eigenvalues / Real, Equal Eigenvalues (Post)
Note 20 (Sec 5.1): Nonlinear Systems and Linearization (Post)
Note 21 (Sec 6.1): Computation of Solutions; Iteration (Post)
Note 23 (Sec 6.3): Numerical Methods for Systems of Equations (Post)