- Level Awareness
- Duration 30 hours
- Course by Imperial College London
- Total students 7,688 enrolled
- Offered by
What you will learn
By the end of this course, you'll be able to:
- Use calculus in kinematics for motion in a straight line
- Use differentiation and integration of a vector with respect to time for motion in two dimensions
- Solve projectile motion problems using both calculus/vector methods and constant acceleration formulae
- Use a standard model for friction
- Calculate moments understanding what they mean and how they might be used
- Solve problems involving parallel and nonparallel coplanar forces
- Apply an understanding of moments to statics problems involving rigid bodies
- Use the Normal distribution as a model for continuous data
- Conduct a hypothesis test of the mean using a Normal distribution
- Use a Normal distribution as an approximation of a Binomial distribution
- Add vectors diagrammatically
- Perform the algebraic operations of vector addition and multiplication by scalars
- Apply vector calculations to problems in pure mathematics
- Use methods for differentiating a function of a function, differentiating a product and differentiating a quotient
- Differentiate trigonometric and inverse trigonometric functions
- Use implicit and parametric differentiation
- Identify integrals that can be dealt with “by sight”
- Use a substitution method to integrate a function
- Use partial fractions to integrate rational functions
- Use the method of integration by parts
- Use the method of separating the variable to solve differential equations
- find the family of solutions for a differential equation
Skills you learn
Syllabus
Module 1: Calculus in Kinematics and Projectile Motion
- Using calculus for kinematics for motion in a straight line:
- Using calculus in kinematics for motion extended to 2 dimensions using vectors.
- Modelling motion under gravity in a vertical plane using vectors; projectiles.
- Composition of functionsInverse functions
Module 2: Friction, Moments and Equilibrium of rigid bodies
- Understanding and using the F≤μR model for friction
- The coefficient of friction motion of a body on a rough surface limiting friction
- Understanding and using moments in simple static contexts.
- The equilibrium of rigid bodies involving parallel and nonparallel coplanar forces
Module 3: The Normal Distribution
- Understanding and using the Normal distribution as a model
- Finding probabilities using the Normal distribution
- Conducting statistical hypothesis tests for the mean of a Normal distribution with known, given or assumed variance
- Interpreting the results of hypothesis tests in context
Module 4: Vectors
- Using vectors in two dimensions and in three dimensions
- Adding vectors diagrammatically
- Performing the algebraic operations of vector addition and multiplication by scalars
- Understanding the geometrical interpretations of vector calculations
- Understanding and using position vectors
- Calculating the distance between two points represented by position vectors.
- Using vectors to solve problems in pure mathematics
Module 5: Differentiation Methods
- Differentiation using the product rule, the quotient rule and the chain rule
- Differentiation to solve problems involving connected rates of change and inverse functions.
- Differentiating simple functions and relations defined implicitly or parametrically
Module 6: Integration Methods
- Integrating e^kx, 1/x, sinkx, coskx and related sums, differences and constant multiples
- Integration by substitution
- Integration using partial fractions that are linear in the denominator
- Integration by parts
Module 7: Differential Equations
- The analytical solution of simple first order differential equations with separable variables
- Finding particular solutions
- Sketching members of a family of solution curves
- Interpreting the solution of a differential equation in the context of solving a problem
- Identifying limitations of the solution to a differential equation
Instructors
Philip Ramsden
Instructors
Phil Chaffe