Module MAU11S02: Mathematics for Scientists (second semester)
- Credit weighting (ECTS)
- 10 credits
- Semester/term taught
- Hilary term 2019-20
- Contact Hours
- 11 weeks, 6 lectures and two tutorials per week
- Lecturers
- Prof. Colm Ó Dúnlaing Prof Miriam Logan
-
Calculus with Applications for Scientists
The lecturer for this part will be Prof Miriam Logan
- Learning Outcomes
- On successful completion of this module students will be able to
- How to apply definite integrals to various geometric problems;
- Various methods of integration;
- The concept of a differential equations and methods of their solution;
- The concept of infinite series and their convergence; Taylor series;
- The concepts of parametric curves and polar coordinates,
- Module Content
-
- Application of definite integrals in geometry (area between curves, volume of a solid, length of a plane curve, area of a surface of revolution).
- Methods of integration (integration by parts, trigonometric substitutions, numerical integration, improper integrals).
- Differential equations (separable DE, first order linear DE, Euler method).
- Infinite series (convergence fo sequences, sums of infinite series, convergence tests, absolute convergence, Taylor series).
- Parametric curves and polar coordinates.
Recommended Reading:
- Single Variable Calculus 7th ed. Early Transcendentals by James Stewart.
- Calculus, 9th edition, Early Transcendentals by H. Anton, I. Bivens, S. Davis.
Further linear algebra and statistics for Scientists
The lecturer for this part will be Prof. Colm Ó Dúnlaing
- Module Content:
- Linear Algebra - This reference for this part of the course will be (AntonRorres). The syllabus will be approximately chapters 2, 5, section 4.2 and a selection of application topics from chapter 11 of (AntonRorres).
- Determinants, Evaluation by Row Operations and Laplace Expansion, Properties, Vector Cross Products, Eigenvalues and Eigenvectors;
- Introduction to Vector Spaces and Linear Transformations. Least Squares Fit via Linear Algebra;
- Differential Equations, System of First Order Linear Equations;
- Selected Application in Different Branches of Science;
- Probability - Basic Concepts of Probability; Sample Means; Expectation and Standard Deviation for Discrete Random Variables; Continuous Random Variables; Examples of Common Probability Distributions (binomial, Poisson, normal) (sections 24.1 - 24.3, 24.5 - 24.8 of (Kreyszig).
Essential References:
(Anton)
- Combined edition:
- Calculus: late transcendentals: Howard Anton, Irl Bivens, Stephen Davis 10th edition (2013) (Hamilton Library 515P23*9) Or
- Single variable edition.
(AntonRorres)
- Howard Anton & Chris Rorres, Elementary Linear Algebra with supplementary applications. International Student Version (10th edition). Publisher Wiley, c2011. (Hamilton 512.5L32*9; - 5, S-LE N 512.5 L32*9;6-15):
Recommended References:
(Kreyszig)
- Erwin Kreyszig, Advanced Engineerin
- Erwin Kreyszig, Advanced Engineering Mathematics (10th edition), (Erwin Kreyszig in collaboration with Herbert Kreyszig, Edward J. Normination), Wiley 2011 (Hamilton 510.24 L21*9)
(Thomas)
- Thomas' Calculus, Author Weir, Maurice D. Edition 11th ed/based on the original work by George B. Thomas, Jr., as revised by Maurice D. Weir, Joel Hass, Frank R. Giordano, Publisher Boston, Mas s., London: Pearson/Addison Wesley, c2005. (Hamilton 515.1 K82*10;*)
- Module Prerequisite
- MAU11S01 Mathematics for Scientist (First Semester)
- Assessment Detail
- This module will be examined in a 3 hour examination in Trinity term. Continuous assessment in the form of weekly tutorial work will contribute 20% to the final grade at the ann ual examinations, with the examination counting for the remaining 80%. Re-assessments if required will consist of 100% exam.