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Mathematics For Engineering Qa Pdf

This page allows you to access the HELM workbooks, the relevant index files, the student's guide and the tutor's guide (in pdf format).

Click on a link below to make your choice.

1. Basic Algebra

2. Basic Functions

3. Equations, Inequalities And Partial Fractions

  • Mathematical Notation and Symbols.
  • Indices.
  • Simplification and Factorisation.
  • Arithmetic of Algebraic Fractions.
  • Formulae and Transposition.
  • Index.
  • Basic Concepts of Functions.
  • Graphs of Functions and Parametric Form.
  • One-to-one and Inverse Functions.
  • Characterising Functions.
  • The Straight Line.
  • The Circle.
  • Some Common Functions.
  • Index.
  • Solving Linear Equations.
  • Solving Quadratic Equations.
  • Solving Polynomial Equations.
  • Solving Simultaneous Linear Equations.
  • Solving Inequalities.
  • Partial Fractions.
  • Index.

4. Trigonometry

5. Functions and modelling

6. Exponential and Logarithmic functions

  • Right-angled Triangles.
  • Trigonometric Functions.
  • Trigonometric Identities.
  • Applications of Trigonometry to Triangles.
  • Applications of Trigonometry to Waves.
  • Index.
  • The Modelling Cycle and Functions.
  • Quadratic Functions and Modelling.
  • Oscillating Functions and Modelling.
  • Inverse Square Law Modelling.
  • Index.
  • The Exponential Function.
  • The Hyperbolic Functions.
  • Logarithms.
  • The Logarithmic Function.
  • Modelling Exercises.
  • Log-linear Graphs.
  • Index.

7. Matrices

8. Matrix solution of equations

9. Vectors

  • Introduction to Matrices.
  • Matrix Multiplication.
  • Determinants.
  • The Inverse of a Matrix.
  • Index.
  • Solution by Cramer's Rule.
  • Solution by Inverse Matrix Method.
  • Solution by Gauss Elimination.
  • Index.
  • Basic Concepts of Vectors.
  • Cartesian Components of Vectors.
  • The Scalar Product.
  • The Vector Product.
  • Lines and Planes.
  • Index.

10. Complex Numbers

11. Differentiation

12. Applications Of Differentiation

  • Complex Arithmetic.
  • Argand Diagrams and the Polar Form.
  • The Exponential Form of a Complex Number.
  • De Moivre's Theorem.
  • Index.
  • Introducing Differentiation.
  • Using a Table of Derivatives.
  • Higher Derivatives.
  • Differentiating Products and Quotients.
  • The Chain Rule.
  • Parametric Differentiation.
  • Implicit Differentiation.
  • Index.
  • Tangents and Normals.
  • Maxima and Minima.
  • The Newton-Raphson Method.
  • Curvature.
  • Differentiation of Vectors.
  • Case study: Complex Impedance.
  • Index.

13. Integration

14. Applications of integration 1

15. Applications of integration 2

  • Basic Concepts of Integration.
  • Definite Integrals.
  • The Area Bounded by a Curve.
  • Integration by Parts.
  • Integration by Substitution and Using Partial Fractions.
  • Integration of Trigonometric Functions.
  • Index.
  • Integration as the Limit of a Sum.
  • The Mean Value and the Root-Mean-Square Value.
  • Volumes of Revolution.
  • Lengths of Curves and Surfaces of Revolution.
  • Index.
  • Integration of Vectors.
  • Calculating Centres of Mass.
  • Moment of Inertia.
  • Index.

16. Sequences And Series

17. Conics and polar coordinates

18. Functions Of Several Variables

  • Sequences and Series.
  • Infinite Series.
  • The Binomial Series.
  • Power Series.
  • Maclaurin and Taylor Series.
  • Index.
  • Conic Sections.
  • Polar Coordinates.
  • Parametric Curves.
  • Index.
  • Functions of Several Variables.
  • Partial Derivatives.
  • Stationary Points.
  • Errors and Percentage Change.
  • Index.

19. Differential Equations

20. The Laplace Transform

21. The Z transform

  • Modelling with Differential Equations.
  • First Order Differential Equations.
  • Second Order Differential Equations.
  • Applications of Differential Equations.
  • Index.
  • Causal Functions.
  • The Transform and its Inverse.
  • Further Laplace Transforms.
  • Solving Differential Equations.
  • The Convolution Theorem.
  • Transfer Functions.
  • Index.
  • The z-Transform.
  • Basics of z-Transform Theory.
  • z-Transforms and Difference Equations.
  • Engineering Applications of z-Transforms.
  • Sampled Functions.
  • Index.

22. Eigenvalues and eigenvectors

23. Fourier series

24. Fourier transforms

  • Basic Concepts.
  • Applications of Eigenvalues and Eigenvectors.
  • Repeated Eigenvalues and Symmetric Matrices.
  • Numerical Determination of Eigenvalues and Eigenvectors.
  • Index.
  • Periodic Functions.
  • Representing Periodic Functions by Fourier Series.
  • Even and Odd Functions.
  • Convergence.
  • Half-range Series.
  • The Complex Form.
  • An Application of Fourier Series.
  • Index.
  • The Fourier Transform.
  • Properties of the Fourier Transform.
  • Some Special Fourier Transform Pairs.
  • Index.

25. Partial Differential Equations

26. Functions of a Complex Variable

27. Multiple Integration

  • Partial Differential Equations.
  • Applications of PDEs.
  • Solution Using Separation of Variables.
  • Solutions Using Fourier Series.
  • Index.
  • Complex Functions.
  • Cauchy-Riemann Equations and Conformal Mapping.
  • Standard Complex Functions.
  • Basic Complex Integration.
  • Cauchy's Theorem.
  • Singularities and Residues.
  • Index.
  • Introduction to Surface Integrals.
  • Multiple Integrals over Non-rectangular Regions.
  • Volume Integrals.
  • Changing Coordinates.
  • Index.

28. Differential Vector Calculus

29. Integral Vector Calculus

30. Introduction to Numerical Methods

  • Background to Vector Calculus.
  • Differential Vector Calculus.
  • Orthogonal Curvilinear Coordinates.
  • Index.
  • Line Integrals.
  • Surface and Volume Integrals.
  • Integral Vector Theorems.
  • Index.
  • Rounding Error and Conditioning.
  • Gaussian Elimination.
  • LU Decomposition.
  • Matrix Norms.
  • Iterative Methods for Systems of Equations.
  • Index.

31. Numerical Methods of Approximation

32. Numerical Initial Value Problems

33. Numerical Boundary Value Problems

  • Polynomial Approximations.
  • Numerical Integration.
  • Numerical Differentiation.
  • Nonlinear Equations.
  • Index.
  • Initial Value Problems.
  • Linear Multistep Methods.
  • Predictor-Corrector Methods.
  • Parabolic PDEs.
  • Hyperbolic PDEs.
  • Index.
  • Two-point Boundary Value Problems.
  • Elliptic PDEs.
  • Index.

34. Modelling Motion

35. Sets and Probability

36. Descriptive Statistics

  • Projectiles.
  • Forces in More Than One Dimension.
  • Resisted Motion.
  • Index.
  • Sets.
  • Elementary Probability.
  • Addition and Multiplication Laws of Probability.
  • Total Probability and Bayes' Theorem.
  • Index.
  • Describing Data.
  • Exploring Data.
  • Index.

37. Discrete Probability Distributions

38. Continuous Probability Distributions

39. The Normal Distribution

  • Discrete Probability Distributions.
  • The Binomial Distribution.
  • The Poisson Distribution.
  • The Hypergeometric Distribution.
  • Index.
  • Continuous Probability Distributions.
  • The Uniform Distribution.
  • The Exponential Distribution.
  • Index.
  • The Normal Distribution.
  • The Normal Approximation to the Binomial Distribution.
  • Sums and Differences of Random Variables.
  • Index.

40. Sampling Distributions and Estimation

41. Hypothesis Testing

42. Goodness of Fit and Contingency Tables

  • Sampling Distributions.
  • Interval Estimation for the Variance.
  • Index.
  • Statistical Testing.
  • Tests Concerning a Single Sample.
  • Tests Concerning Two Samples.
  • Index.
  • Goodness of Fit.
  • Contingency Tables.
  • Index.

43. Regression and Correlation

44. Analysis of Variance

45. Non-parametric Statistics

  • Regression.
  • Correlation.
  • Index.
  • One-Way Analysis of Variance.
  • Two-Way Analysis of Variance.
  • Experimental Design.
  • Index.
  • Non-parametric Tests for a Single Sample.
  • Non-parametric Tests for Two Samples.
  • Index.

46. Reliability and Quality Control

47. Mathematics and Physics Miscellany

48. Engineering Case Studies

  • Reliability.
  • Quality Control.
  • Index.
  • Dimensional Analysis in Engineering.
  • Mathematical Explorations.
  • Physics Case Studies.
  • Index 1.
  • Index 2.
  • Index 3.
  • Engineering Case Studies.
  • Index.

49. Student's Guide

50. Tutor's Guide

  • Student's Guide.
  • Tutor's Guide.

Mathematics For Engineering Qa Pdf

Source: https://learn.lboro.ac.uk/archive/olmp/olmp_resources/pages/wbooks_fulllist.html

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