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University of Southampton Electronic and Electrical Engineering Mathematics Course?
This course lays a mathematical foundation for all engineering degrees. Its structure enables students with different knowledge levels to learn at their own pace.

course content

Advanced revised edition

Algebra: simplifying expressions and functions; Indicators; Linear and quadratic equations; Simultaneous linear equations; Unequal partial scores.

Trigonometry: the solution of triangle; Multi-angle formula; Trigonometric equation.

The following topics were studied and tested in two semesters:

1. Differentiation: basic rules; Differences between standard functions; Newton's method of finding roots; Local differentiation.

2. Integral: the definition of integral; Standard integral; Substitution; Part integration; Numerical integration.

3. Complex number: graphic representation; Algebraic polar coordinate form Euler formula and exponential form.

4. Differential equation: classification; Simple first and second order differential equations.

5. Function: reversing; Exponent, logarithm and hyperbola of trigonometric functions.

6. Distinguish: maximum value, minimum value and inflection point; Curve sketch; Parametric, implicit and logarithmic differential; Taylor and McLaughlin series.

7. Integration: substitution; Application of center of mass, rotation, etc.

8. Integration: reasonable function; The integral is incorrect.

9. Integral: double integral; Polar coordinates; Triple integral.

10. Differential equation: the solution of first-order ordinary differential equation (separable, homogeneous, linear and accurate).

1 1. Differential equation: linear operator; Linear nonhomogeneous second order ordinary differential equation; ; Free oscillator and forced oscillator.

12. Vector: basic attribute; Cartesian component, scalar and vector product.

13. Vector: triple product; Differential and integral of vectors; Vector equations of lines and planes.

14. Matrix algebra: terminology; Addition, subtraction and multiplication of matrices; Determinant.

15. Matrix algebra: matrix inversion using auxiliary factors; Linear equation; Find the inverse of matrix by elimination method.

16. Matrix algebra: hierarchical structure; Eigenvalues and eigenvectors.

17. Further calculus: chain rule of partial derivatives; Total difference and small error of higher order partial derivatives.

18. Complex number: trigonometric function, hyperbolic function; Logarithm of complex number; De Morville theorem; Simple locus on the complex plane of roots.

19. Statistics: probability; Conditional probability combination and permutation; Discrete and continuous random variables.

20. Statistics: mean and standard deviation of sample data; Normal distribution sampling; Confidence interval; Hypothesis test.