Semester 1 Credit Value: | 10 |
ECTS Credits: | 5.0 |
A-level Mathematics (or equivalent)
Code | Title |
---|---|
MAS1041 | Mathematical Methods A |
N/A
To lay the foundations for more advanced mathematical study. Students will be able to manipulate complex numbers and find roots, and use matrix methods to solve equations.
Module Summary
Virtually every branch of mathematics and statistics can be developed only from a firm foundation. A clear understanding and appreciation of many fundamental topics is required, primarily, those of algebra and calculus. Of course, understanding alone is not sufficient: considerable manipulative skill (covering all the topics above) is an essential ingredient if progress is to be made. These skills form the toolkit which is required for further study. This module provides the algebraic basis for all this, by building on the ideas explored in A-level (or equivalent) studies. Not only are the ideas rehearsed -often in a different, but more complete way – but work on more advanced topics in algebra, linear algebra and complex numbers is included.
Much of this material can be better understood via graphs, diagrams and sketches, or by reproducing routine (but tedious) algebra in an automatic fashion. To this end, the module illustrates some of the ideas using the computer algebra package Maple. A facility for Maple will be assumed in other modules and in later stages.
Complex numbers, Argand diagram, polar form, de Moivre's theorem, roots of unity. Linear algebra, row operations, solution of linear equations, matrix operations, determinants, eigenvectors.
Students will gain an understanding of complex numbers and of matrix methods.
Students will be able to manipulate complex numbers and find roots, and use matrix methods to solve equations.
Graduate Skills Framework Applicable: | Yes |
Category | Activity | Number | Length | Student Hours | Comment |
---|---|---|---|---|---|
Scheduled Learning And Teaching Activities | Lecture | 26 | 1:00 | 26:00 | Formal lectures |
Scheduled Learning And Teaching Activities | Lecture | 2 | 1:00 | 2:00 | Revision lectures |
Scheduled Learning And Teaching Activities | Lecture | 4 | 1:00 | 4:00 | Problem classes |
Guided Independent Study | Assessment preparation and completion | 1 | 13:00 | 13:00 | Revision for unseen Exam |
Guided Independent Study | Assessment preparation and completion | 1 | 1:30 | 1:30 | Unseen exam |
Scheduled Learning And Teaching Activities | Drop-in/surgery | 4 | 1:00 | 4:00 | Tutorials in the lecture room |
Scheduled Learning And Teaching Activities | Drop-in/surgery | 24 | 0:00 | 0:00 | Office Hours in a staff office |
Guided Independent Study | Independent study | 1 | 17:30 | 17:30 | Studying, practising and gaining understanding of course material |
Guided Independent Study | Independent study | 4 | 2:00 | 8:00 | CBAs |
Guided Independent Study | Independent study | 4 | 5:00 | 20:00 | Written assignments |
Guided Independent Study | Independent study | 4 | 1:00 | 4:00 | Assignment review |
Total | 100:00 |
Code | Title |
---|---|
MAS2042 | Mathematical Methods B |
Lectures are used for the delivery of theory and explanation of methods, illustrated with examples, and for giving general feedback on marked work. Problem Classes are used to help develop the students’ abilities at applying the theory to solving problems. Tutorials are used to identify and resolve specific queries raised by students and to allow students to receive individual feedback on marked work. Office hours provide an opportunity for more direct contact between individual students and the lecturer.
The format of resits will be determined by the Board of Examiners
Description | Length | Semester | When Set | Percentage | Comment |
---|---|---|---|---|---|
Written Examination | 90 | 1 | A | 80 | unseen |
Module Code | Module Title | Semester | Comment |
---|---|---|---|
1 | N/A |
Description | Semester | When Set | Percentage | Comment |
---|---|---|---|---|
Prob solv exercises | 1 | M | 10 | N/A |
Computer assessment | 1 | M | 10 | CBAs |
A substantial formal unseen examination is appropriate for the assessment of the material in this module. Approximately four written assignments of approximately equal weight (worth approximately 10% in total) and approximately four computer based assessments of approximately equal weight (worth approximately 10% in total) allow the students to develop their problem solving techniques, to practise the methods learnt in the module and to receive feedback; this is thus formative as well as summative assessment.
N/A
Disclaimer: The information contained within the Module Catalogue relates to the 2016/17 academic year. In accordance with University Terms and Conditions, the University makes all reasonable efforts to deliver the modules as described. Modules may be amended on an annual basis to take account of changing staff expertise, developments in the discipline, the requirements of external bodies and partners, and student feedback. Module information for the 2017/18 entry will be published here in early-April 2017. Queries about information in the Module Catalogue should in the first instance be addressed to your School Office.