- Homepage
- About the College
- Students
- Taught programmes (UG / PGT)
- Student Services and Procedures
- Student Support
- Events and Colloquia
- International Students
- Students as Change Agents (SACA)
- Student Staff Liaison Committees (SSLC)
- The Exeter Award
- Peer Support
- Skills Development
- Equality and Diversity
- Athena SWAN
- Outreach
- Living Systems Institute Webpage
- Alumni
- Info points and hubs

- Staff
- PGR
- Health and Safety
- Computer Support
- National Student Survey (NSS)
- Intranet Help
- College Website

## ECM1902 - Vectors and Matrices (2018)

MODULE TITLE | Vectors and Matrices | CREDIT VALUE | 15 |
---|---|---|---|

MODULE CODE | ECM1902 | MODULE CONVENER | Dr Markus Mueller (Coordinator) |

DURATION: TERM | 1 | 2 | 3 |
---|---|---|---|

DURATION: WEEKS | 11 | 0 | 0 |

Number of Students Taking Module (anticipated) | 40 |
---|

Mathematics is all about numbers and structures. Vectors are one of the most fundamental structures in Mathematics and, more generally, across science, engineering and business. They underlie all areas of mathematics, computer science and engineering. They are the fundamental to describing multi-dimensional objects and the natural language of information retrieval systems, computer aided design, 3D graphics, and pattern recognition. Matrices are the operators that transport vectors.

This introduction to vectors and matrices gives you an excellent foundation in and understanding of how vectors and matrices interact; aiming to familiarise you with, and build confidence in, using them in numerous applications across science, engineering and business. This foundation in the concepts of vectors and matrices, together with applications of geometry and the solution of systems of linear equations aims to prepare you for everything you are likely to encounter over the course of your chosen programme and discipline. On completing this module you will be equipped with the skills to apply vectors and matrices to all areas of maths and computing with the ability to tackle a range of problems, as well as demonstrating a sound understanding of the basic concepts of Linear Algebra.

Parallel to the lectures and tutorials you will work on weekly exercise sheets with problems in the field of Linear Algebra. You will be asked to form study groups with fellow students to solve these problems. Starting from week two, you will be asked to prepare the solution for one of the problems from the previous week’s exercise sheet during one of the tutorial sessions and submit to the module convener (if you miss a session, you will have the chance to submit a solution in the following week). Each individual solution will be marked and you will receive feedback from the module convener. The problem mark counts 1/8 towards the overall Coursework mark.

This should encourage you to work out solutions for all problems from the weekly exercise sheets (this can happen in small groups, however you have to be able to reproduce the solution individually).

The aims are to provide a basic introduction to complex numbers and a foundation in the concepts of vectors and matrices, together with applications both to geometry and to the solution of systems of linear equations. No previous knowledge of vectors and matrices is assumed. There is an emphasis on algorithmic aspects rather than a rigorous theoretical development, but proofs will be included where appropriate.

On successful completion of this module ** you should be able to**:

**Module Specific Skills and Knowledge**

2 apply those concepts in tackling an appropriate range of problems;

**Discipline Specific Skills and Knowledge**

3 demonstrate a sufficient knowledge of those fundamental mathematical concepts, manipulations and results in Linear Algebra which are necessary to be able to progress to, and succeed in, further studies in all branches of the mathematical sciences;

4 understand how to read mathematical definitions, theorems and proofs; understand the logic behind different methods of proof, the mechanics of using them and gain experience in applying them; develop an appreciation of the role of rigorous proof in mathematics;

**Personal and Key Transferable / Employment Skills and Knowledge**

5 reason using abstract ideas, formulate and solve problems and communicate reasoning and solutions effectively in writing and oral presentation;

6 work in groups to solve in-depth problems effectively; and learn to analyse/assess other solutions for problems;

7 acquire ability for self-criticism of your work;

8 demonstrate appropriate use of learning resources;

9 demonstrate self management and time management skills.

- **“Calculus and Geometry” and “Vectors and matrices” fundamentals (see also ECM1901): numbers: The standard number systems N, Z, Q, R and C. Introduction to mathematical proofs [4 hours (+4 hours in “Calculus and Geometry”)];**

- Systems of linear equations: Matrix representation; Examples, e.g. Population Projection Matrices and graphs; Elementary Row Operations. Gaussian elimination/Row reduction algorithm (including parameterisation of general solution), reduced echelon form and finding the inverse of a matrix by Gaussian elimination. Criteria for invertibility of a matrix [8 hours];

- Matrix Algebra: Addition/subtraction and multiplication of matrices; Matrices as linear functions on sets of vectors; e.g. rotation and reflection matrices in 2 dimensions; Transpose. Symmetric matrices [8 hours];

- **“Calculus and Geometry” and “Vectors and matrices” revision and mastery (see also ECM1901): focus on rigorous analysis, mathematical proofs and in-depth problems [4 hours (+4 hours in “Calculus and Geometry”)];**

- Determinants: Recursive definition of determinant; Behaviour of determinants under Elementary Row/Column Operations [4 hours];

- Vectors and Vector Spaces: The notion of vector quantities; Addition and scalar multiplication of vectors; Simple geometric proofs; Representation of points in 2 or 3 dimensions as column vectors; Length of a vector; Unit vectors; Standard basis vectors; Linear independence; informal discussion of bases and dimension; Scalar product and vector/cross product [8 hours];

- Eigenvalues and eigenvectors: Definitions; Characteristic polynomial; Diagonalisation of matrices; Examples in 2 and 3 dimensions [4 hours];

- Revision and mastery [4 hours].

Scheduled Learning & Teaching Activities | 44.00 | Guided Independent Study | 106.00 | Placement / Study Abroad | 0.00 |
---|

Category | Hours of study time | Description |

Scheduled Learning & Teaching activities | 11 | Formal lectures of new material |

Scheduled Learning & Teaching activities | 33 | Tutorials, with worked examples, support for working individually and in groups |

Guided Independent Study | 106 | Lecture & assessment preparation, wider reading |

Form of Assessment | Size of Assessment (e.g. duration/length) | ILOs Assessed | Feedback Method |
---|---|---|---|

Weekly exercise | 9 x 3 hours | 1-9 | Presentation of prepared scripts in class. Annotated scripts with oral feedback from tutor. |

Mid-term revision and mastery | 6 hours | 1-9 | Peer-to-peer marked, tutor/module leader feedback |

Coursework | 20 | Written Exams | 80 | Practical Exams | 0 |
---|

Form of Assessment | % of Credit | Size of Assessment (e.g. duration/length) | ILOs Assessed | Feedback Method |
---|---|---|---|---|

Weekly in-depth problems | 20 | Eight problems randomly sampled from the weekly exercise sheets or questions similar to the exercises – solutions should be prepared in advance and prepared during one of the tutorial session in the next week | 1-9 | Annotated scripts with feedback from peers, tutor and/or module leader |

Written exam - Closed book | 80 | 2 hours - January Exam | 1- 5, 7-9 | Written/verbal on request |

Original Form of Assessment | Form of Re-assessment | ILOs Re-assessed | Time Scale for Re-assessment |
---|---|---|---|

All Above | Written Exam (100%) | All | August Ref/Def period |

If a module is normally assessed entirely by coursework, all referred/deferred assessments will normally be by assignment.

If a module is normally assessed by examination or examination plus coursework, referred and deferred assessment will normally be by examination. For referrals, only the examination will count, a mark of 40% being awarded if the examination is passed. For deferrals, candidates will be awarded the higher of the deferred examination mark or the deferred examination mark combined with the original coursework mark.

information that you are expected to consult. Further guidance will be provided by the Module Convener

**Basic reading:**

**Other Resources:**

Reading list for this module:

Type | Author | Title | Edition | Publisher | Year | ISBN | Search |
---|---|---|---|---|---|---|---|

Set | Finney R.L, Maurice D, Weir M and Giordano F.R | Thomas' calculus based on the original work by George B. Thomas, Jr. | 10th or later | Addison-Wesley | 2003 | 000-0-321-11636-4 | [Library] |

Set | Stewart J. | Calculus | 5th | Brooks/Cole | 2003 | 000-0-534-27408-0 | [Library] |

Set | McGregor C., Nimmo J. & Stothers W. | Fundamentals of University Mathematics | 2nd | Horwood, Chichester | 2000 | 000-1-898-56310-1 | [Library] |

Set | Allenby R.B. | Linear Algebra, Modular Mathematics | Arnold | 1995 | 000-0-340-61044-1 | [Library] | |

Set | Hamilton A.G. | Linear Algebra: an introduction with concurrent examples | Cambridge University Press | 1989 | 000-0-521-32517-X | [Library] | |

Set | Thomas, G, Weir, M, Hass, J | Thomas' Calculus | 12th | Pearson | 2010 | 978-0321643636 | [Library] |

Set | Lipschutz, S, Lipson, M | Schaum's outlines: linear algebra | 4th | Mc-Graw-Hill | 2008 | 978-0071543521 | [Library] |

CREDIT VALUE | 15 | ECTS VALUE | 7.5 |
---|---|---|---|

PRE-REQUISITE MODULES | None |
---|---|

CO-REQUISITE MODULES | None |

NQF LEVEL (FHEQ) | 4 | AVAILABLE AS DISTANCE LEARNING | No |
---|---|---|---|

ORIGIN DATE | Thursday 06 July 2017 | LAST REVISION DATE | Friday 30 November 2018 |

KEY WORDS SEARCH | Numbers; Vectors; Matrices; Matrix algebra; Determinants; Eigenvalues and Eigenvectors. |
---|