MAU11S02 Mathematics for scientists II
Module Code | MAU11S02 |
---|---|
Module Title | Mathematics for scientists II |
Semester taught | Semester 2 |
ECTS Credits | 10 |
Module Lecturers |
Prof. Miriam Logan
Prof. Colm Ó Dúnlaing |
Module Prerequisites | MAU11S01 Mathematics for scientists I |
Assessment Details
- This module is examined in a 3-hour examination at the end of Semester 2.
- Continuous assessment contributes 20% towards the overall mark.
- Re-assessment, if needed, consists of 100% exam.
Contact Hours
11 weeks of teaching with 6 lectures and 2 tutorials per week.
Learning Outcomes
On successful completion of this module, students will be able to
- Use standard techniques to compute definite integrals.
- Use integrals to compute volumes, areas and lengths.
- Evaluate improper integrals.
- Formulate and solve first-order differential equations.
- Determine whether a given sequence converges or not.
- Test a given series for convergence.
- Approximate a given function by polynomials using Taylor and Maclaurin series.
- Compute determinants using either cofactor expansion or upper triangular forms.
- Use Cramer's rule to solve linear equations.
- Use the adjoint matrix to invert matrices.
- Construct bases for the row space, column space and nullspace of a matrix.
- Construct orthonormal bases in three dimensions.
- Calculate the matrices of various linear maps.
- Compute linear and quadratic curves matching data using the least squared error criterion.
- Calculate eigenvalues and eigenvectors for 2x2 matrices, with applications to differential equations.
- Derive probability distributions in some simple cases.
- Solve problems involving the binomial distribution.
- Calculate percentage points for continuous distributions such as the normal, chi-squared, and student's t-distribution.
- Compute confidence intervals for the mean and standard deviation.
Module Content
- Applications of integrals: area between curves, volume of a solid, length of a plane curve, area of a surface of revolution.
- Techniques of integration: integration by parts, trigonometric substitutions, numerical integration, improper integrals.
- Differential equations: separable, first-order linear, Euler method.
- Infinite series: convergence of sequences, sums of infinite series, tests for convergence, absolute convergence, Taylor series.
- Parametric curves and polar coordinates.
- Determinants, Cramer's rule, adjoint matrix formula for inverse.
- Row space, column space and nullspace of a matrix.
- Orthonormal bases in three dimensions.
- Least squared error linear and quadratic estimates.
- Eigenvalues and eigenvectors for 2x2 matrices, systems of linear differential equations.
- Probability distributions: binomial, chi-squared, normal, Poisson, uniform.
- Central limit theorem.
- Hypothesis testing, confidence intervals for the mean and standard deviation.
Recommended Reading
- Calculus: Late transcendentals by Anton, Bivens and Davis.
- Elementary linear algebra by Anton and Rorres.