成人大片

1. Demonstrate understanding of concepts in linear algebra, relating to vector spaces, linear transformations and symmetric matrices.
2. Demonstrate understanding of concepts in calculus, relating to differential equations, limits and continuity, and Taylor series.
3. Demonstrate understanding of introductory concepts in two-variable calculus.
4. Employ methods related to these concepts in a variety of applications.
5. Apply logical thinking to problem-solving in context.
6. Demonstrate an understanding of the role of proof in mathematics.
7. Use appropriate technology to aid problem-solving.
8. 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.

In Mathematics IB the two topics of algebra and calculus detailed below are taught in parallel, with two lectures a week on each. The tutorials are a combination of algebra and calculus topics, pertaining to the previous week's lectures.

Lecture Outline

• Further Results on R^n (7 lectures)
  • Revision of subspaces, linear independence, basis, dimension.
  • Row and column space, null space of a matrix. Rank and rank theorem.
  • Scalar product, distance. Length and angle. Orthogonality, Gram-Schmidt process.
• Linear Transformations (4 lectures)
  • Kernel and range, the matrix of a linear transformation.
  • Dimension theorem.
• Symmetric Matrices (4 lectures)
  • General quadratic equation in 2 variables, conics.
  • Revision of eigenvalues, eigenvectors and diagonalization.
  • Orthogonal diagonalization of real symmetric matrix. Applications.

• Differential Equations (5 lectures)
  • First order DE's: separable, linear.
  • Linear second order DE's with constant coefficients. Applications.
  • Modelling. The logistic equation.
• Limits (5 lectures)
  • Definition and uniquess of limit, limit laws.
  • Squeeze Theorem, trigonometric limits, one-sided limits, limits at infinity, unbounded functions.
  • Improper integrals. Linear approximation. L'Hopital's rule.
• Continuity (2 lectures)
  • Continuity, classification of discontinuities, continuity and differentiation.
  • Intermediate Value Theorem. Newton's Method.
• Applications of the Derivative (5 lectures)
  • Extrema of continuous functions, applied max-min problems.
  • Rolle's Theorem, Mean Value Theorem and consequences.
  • Graphing: First and second derivative tests, concavity and inflection points.
• Taylor Series (6 lectures)
  • Taylor and Maclaurin polynomials, Taylor's Theorem, error terms.
  • Power series, geometric series, convergence of power series, interval and radius of convergence.
  • Taylor and Maclaurin series, binomial series, differentiation and integration of power series.
• Calculus of More than One Variable (8 lectures)
  • Surfaces: planes, cylinders, quadric surfaces.
  • Functions of more than one variable, limits and continuity.
  • Partial derivatives, derivatives of higher order. Chain rules, directional derivative, gradient.
  • Tangent planes, local maxima and minima. Second derivative test for functions of 2 variables.

Tutorial 2: Row, column and null space. Secnd order DEs.
Tutorial 3: Rank theorem. Distance, angle and orthogonality. Logistic equation. Orthogonality.
Tutorial 4: Gram-Schmidt process, projections, linear transformations. Limits, Squeeze Theorem.
Tutorial 5: Linear transformations: kernel, range, standard matrix. Limits, improper integrals.
Tutorial 6: Composition of linear transformations, conic sections.L'Hopital's rule. Discontinuities.
Tutorial 7: Eigenvalues, eigenvectors, diagonalisation. Newton's Method. Intermediate Value Theorem.
Tutorial 8: Standard form for conics and quadrics. Max-min problems. Mean Value Theorem.
Tutorial 9: Functions of 2 variables, limits and continuity. Mean Value Theorems, graph sketching.
Tutorial 10: Limits, continuity, partial derivatives of functions of 2 variables. Taylor and Maclaurin polynomials.
Tutorial 11: Tangent planes to surfaces. Chain rule. Directional derivatives. Series, convergence.
Tutorial 12: Maximum rate of change. Classification of critical points. Taylor and Maclaurin series.
(Note: This tutorial is not an actual class, but is a set of typical problems with solutions provided.)

Note: precise tutorial content may vary due to the vagaries of public holidays.

Hand-in (written) assignments are due every fortnight, the first is released in Week 1 and due in Week 3.

Maple TA (online) assignments are due every week, the first is 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 submitted at the designated time and place with a signed cover sheet attached.
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.