The next course, **Applied Mathematics**, will focus on the practical application of mathematical methods to solve real-world problems across various scientific and engineering disciplines. This course bridges theoretical mathematics with practical applications, emphasizing modeling, analysis, and computation.

### Key Topics:

1. **Partial Differential Equations (PDEs):** Techniques for solving PDEs and applications in heat transfer, fluid dynamics, and wave propagation.

2. **Numerical Methods:** Iterative techniques for solving equations, interpolation, numerical integration, and differential equation solutions using tools like MATLAB or Python.

3. **Linear Programming and Optimization:** Formulating and solving optimization problems in engineering and economics.

4. **Probability and Statistics:** Statistical inference, regression analysis, and stochastic processes for real-world data analysis.

5. **Fourier and Laplace Transforms:** Applications in signal processing and control systems.

### Course Highlights:

- **Hands-on Applications:** Using mathematical software for simulations.

- **Case Studies:** Real-world scenarios like structural engineering or financial modeling.

- **Interdisciplinary Focus:** Techniques relevant to physics, biology, and economics.

Applied Mathematics builds on foundational concepts to develop expertise in solving practical challenges innovatively.

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