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1. Demonstrate understanding of concepts in linear algebra, relating to vector spaces, linear transformations, orthogonality, eigenvalues and eigenvectors and diagonalisation.
2. Demonstrate understanding of concepts in calculus, relating to differential equations, sequences, series and convergence and multivariable calculus.
3. Employ methods related to these concepts in a variety of applications.
4. Apply logical thinking to problem-solving in context.
5. Demonstrate an understanding of the role of proof in mathematics.
6. Use appropriate technology to aid problem-solving.
7. Demonstrate skills in writing mathematics.

1. Poole, D., Linear Algebra: a Modern Introduction 4th edition (Cengage Learning)
2. Stewart, J., Calculus 8th edition (metric version) (Cengage Learning)

This course uses MyUni extensively and exclusively for providing electronic resources, such as lecture notes, assignment and tutorial questions, and worked solutions. Students should make appropriate use of these resources. MyUni can be accessed here:

This course also makes use of online assessment software for mathematics called Maple TA, which we use to provide students with instantaneous formative feedback. Further details about using Maple TA will be provided on MyUni.

Students are also reminded that they need to check their University email on a daily basis. Sometimes important and time-critical information might be sent by email and students are expected to have read it. Any problems with accessing or managing student email accounts should be directed to Technology Services.

• Revision: Bases, transpose and dimension (2 lectures)
  
  
• Row space, null space, column space, rank theorem (3 lectures)

• Linear Transformations (5 lectures)
  • Definition and basic properties.
  • Kernel and range.
  • Standard matrix.
  • Dimension theorem.
• Orthogonality, Gram-Schmidt (4 lectures)
  • Inner product and orthogonality.
  • Gram-Schmidt process.
  • Orthogonal projection.
  • Ortogonal transformations and matrices.
• Eigenvalues, eigenvectors and diagonalisation (6 lectures)
  
  • Application: Google PageRank.
  • Eigenvalues and eigenvectors.
  • Properties of eigenvalues.
  • Diagonalisation.
  • Symmetric matrices.
  • Orthogonal diagonalisation.
• Singular value decomposition and applications (3 lectures)

• Differential Equations (5 lectures)
  • First order separable equations.
  • Phase lines.
  • First order linear equations.
  • Euler and Runge-Kutta methods.
  • Second order constant coefficient homogenous equations.
  • Second order constant coefficient non-homogenous equations.
• Sequences, Series and Convergence (10 lectures)
  
  • Sequences and applications.
  • Series and applications.
  • Power series, Taylor series.
  • Radius of convergence.
• Multivariable Calculus (7 lectures)
  
  • Surfaces in three dimensions.
  • Functions of several variables including polar coordinates.
  • Limits and continuity in two variables.
  • Partial derivatives.
  • Directional derivatives and the gradient.
  • Extrema of functions of two variables.

Assignments (written and online) are due every fortnight, the first are released in Week 1 and due in Week 3.

Tutorials are weekly beginning in Week 2.

The Mid Semester Test occurs in your enrolled computer lab in Week 7.

Precise details of all of these will be provided on the MyUni site for this course.

1. All written assignments are to be e-submitted following the instructions on MyUni.
2. Late assignments will not be accepted without a medical certificate.
3. Written assignments will have a one week turn-around time for feedback to students.
4. Online Maple TA assignments provide instantaneous feedback to students.