Part I: Elementary methods, differentiation, complex numbers. Standard functions and techniques. Differentiation. Further techniques for differentiation. Applications of differentiation. Taylor series and approximations. Complex numbers. Part II: Matrix algebra and vectors. Matrix algebra. Determinants. Elementary operations with vectors *. The scalar product *. Vector product; derivatives of vectors *. Linear equations. Eigenvalues and eigenvectors. Part III: Integration and differential equations. Antidifferentiation and area. The definite and indefinite integral. Applications involving the integral as a sum. Systematic techniques for integration. Unforced linear differential equations with constant coefficients. Forced linear differential equations. Harmonic functions and the harmonic oscillator. Steady forced oscillations: phasors, impedance, transfer functions. Graphical, numerical, and other aspects of first-order equations. Introduction to the phase plane. Part IV: Transforms and Fourier series. The Laplace transform. Applications of the Laplace transform, the Z-transform *. Fourier series and Fourier transforms *. Part V: Multivariable calculus. Differentiation of functions of two variables. Functions of two variables: geometry and formulae. Chain rules, restricted maxima, coordinate systems. Functions of any number of variables. Double integration. Line integrals. Vector fields: divergence and curl *. Part VI: Discrete mathematics. Sets. Boolean algebra: logic gates and switching functions. Graph theory and its applications. Difference equations. Part VIII: Probability and statistics. Probability *. Random variables and probability distributions *. Descriptive statistics *. Part VIII: Projects. Applications projects using symbolic computing. Answers to selected problems. Appendix. Index. * Completely new for this second edition

This work is intended for beginning engineering and science students (1st year) doing "maths for scientists" courses.