Mathematics 1
Objectives
The objective is to develop mathematical knowledge and skills in subject areas including pre-calculus, calculus, matrices, statistics and probability, as preparation for a wide variety of university courses.
Course outline
Semester 1
- Review of algebra and trigonometry.
- Functions, domain, range, graphs, transformations of graphs.
- Composition of functions, inverse functions (including logarithms and exponential functions, and inverse trigonometric functions).
- Limits, continuity, differentiability, differentiation from first principles.
- Differentiation formulae, including the product rule, quotient rule, chain rule.
- Applications of derivatives, including rates of change, equations of tangents and normals, stationary points, curve-sketching, applied maximum/minimum problems.
- Anti-differentiation, fundamental theorem of calculus, evaluation of areas.
Semester 2
- Indefinite integrals and further applications of integration.
- Limits at infinity and improper integrals.
- Linear approximations.
- Matrix methods for solving systems of linear equations, including the triangular matrix method.
- Statistics, including tabulation and graphical representation of data, mean, median, mode, standard deviation, variance, quartiles.
- Permutations and combinations.
- Introduction to probability, including addition rule, multiplication rule, independent events, tree diagrams.
- Markov chains.
- Probability distributions, expected value, standard deviation.
- Binomial, hypergeometric and geometric distributions, as examples of discrete probability distributions.
- Continuous probability density functions, mean, median, variance, and applications.
- Normal distribution.
Assessment
Semester 1 Exam 30%
Class work in Semester 2 5%
Semester 2 Exam 65%
Required Texts
Maths 1 Lecture
Notes (available from the Maths 1 lecturer-in-charge at Trinity College).