Course map
Calculus
- LessonPractice
Calculus of exponential and logarithmic functions
Unit 3: Unit 3 Topic 1: Differentiation of exponential and logarithmic functions- Know the graphs of e^x and ln(x) and use their inverse relationship
- Solve equations involving e and natural logarithms, with and without technology
- Differentiate exponential and logarithmic functions and model with their derivatives
- LessonPractice
Trigonometric derivatives and the differentiation rules
Unit 3: Unit 3 Topic 2: Differentiation of trigonometric functions and differentiation rules- Differentiate sine and cosine functions, including composite ones
- Use the chain, product and quotient rules, giving derivatives in simplest and factorised form
- Model and solve problems with trigonometric derivatives
- LessonPractice
The second derivative and optimisation
Unit 3: Unit 3 Topic 3: Further applications of differentiation- Interpret the second derivative, including acceleration
- Find stationary points and points of inflection and classify them with the second derivative
- Develop and solve optimisation models
- LessonPractice
Anti-differentiation
Unit 3: Unit 3 Topic 4: Introduction to integration- Find indefinite integrals of powers, exponential, reciprocal and trigonometric functions
- Integrate f(ax + b) and find a function from its derivative and an initial condition
- Find displacement from velocity or acceleration
- LessonPractice
Definite integrals and their applications
Unit 4: Unit 4 Topic 1: Further integration- Use the fundamental theorem of calculus to evaluate definite integrals
- Find areas under curves and between curves, and approximate them with the trapezoidal rule
- Find total change and solve motion problems with definite integrals
Trigonometry
Statistics
- LessonPractice
Discrete random variables and the binomial distribution
Unit 3: Unit 3 Topic 5: Discrete random variables- Build and use probability functions, including from relative frequencies
- Find the mean, variance and standard deviation of a discrete random variable
- Model with Bernoulli and binomial random variables
- LessonPractice
Continuous random variables and the normal distribution
Unit 4: Unit 4 Topic 3: Continuous random variables and the normal distribution- Find probabilities from probability density and cumulative distribution functions
- Find the mean, variance and standard deviation of a continuous random variable
- Use z-scores and normal distributions for probabilities and quantiles
- LessonPractice
Sampling and sample proportions
Unit 4: Unit 4 Topic 4: Sampling and proportions- Recognise random samples and sources of bias
- Find the mean and standard deviation of a sample proportion
- Use the approximate normality of the sample proportion for large samples
- LessonPractice
Confidence intervals for proportions
Unit 4: Unit 4 Topic 5: Interval estimates for proportions- Find approximate confidence intervals for a population proportion
- Relate the margin of error to the level of confidence and the sample size
- Interpret intervals and how they vary between samples
The external examination
QCE Mathematical Methods Units 3 and 4. Both papers of the external examination cover Unit 3 and Unit 4. Internal assessment is set by your school, so it is described in a lesson rather than practised here.