Descriptive statistics and statistical techniques that are useful to present, analyse and make inferences about data are also introduced. A selection of suitable software e. This module introduces a range of numerical approximation methods for solving a variety of mathematical problems, including iterative methods for solving nonlinear equations and systems of linear equations. This module also introduces a mathematical programming package that is commonly used for solving a variety of problems.
The application of these techniques, through the medium of mathematical problems enables the student to become proficient in the use of algebraic software which is used in most mathematical related jobs such as working in industry, financial markets and teaching. This module develops the skills necessary to support academic study at degree level.
The first term topics will look into history of mathematics , development of modern number system and introduce idea of mathematical proofs. Different proof techniques will be covered using examples from Set Theory and Number Theory. The topics covered in the second term part of this module is to introduces the main ideas of graph theory and includes a variety of algorithms.
This module aims to give students a thorough understanding of the analytical techniques available to solve first and second order ordinary differential equations. The topics covered in the first term of this module is to introduce formal inductive and recursive structure on the natural numbers. This structure underlies many aspects of program design and validation, and formal methods.
An introduction to combinatorics and the generating functions are designed to enhance the students algorithmic tool set.
The topics covered in the second term part of this module is to introduce students to the abstract algebraic structures of groups, which arise from the ideas of symmetries and of vector and matrix calculus respectively. These two primary examples of algebraic structures have applications across science and engineering, and also provide a firm foundation of necessary basic algebraic notions for the student to further their study mathematical study.
This module introduces Vector-Valued Functions and extends ideas of calculus of one dimension to Vector-Valued Functions. This module introduces a selected range of Operational Research techniques that are commonly used for solving a variety of small to medium size problems, through the medium of spreadsheet and other suitable software. It also enables the student to investigate real-life problems of business and industrial problems of varied complexity. The aims are: To enable students to apply approximation techniques to problems of both theoretical and practical importance and understand the cause of and interpret the degree of error involved;.
To prepare students with the tools necessary for solving a range of problems in situations suitably described by ordinary differential equations and by difference equations;. To understand modelling with linear and nonlinear dynamical systems and iterative methods of solution;. To enable students to understand and manipulate coded programmes for software packages such as Maple for solving larger problems.
The module covers mathematical and statistical modelling techniques that are applied in making decisions in areas of finance. It also enables the student to investigate real-life statistical data. This module introduces important financial concepts and develops statistical modelling techniques. Statistical regression models are applied to financial data e.
The students will develop skills in statistical and mathematical modelling of real data to aid future employability. This module serves as a core module for all maths students and optional for Data Science students to do a one-semester project in the broader sense.
The feature of the module is summarised as follows. Students will follow their own interest to pursue an individualised study independently under staff supervision. Students taking this module with the same supervisor may study the same subject but the assessments should be individualised. The allocation of supervisors to students should be done at the end of year two.
Students can take this module in either autumn or spring period. The programme of study is very much individualised and there is a variety of format. The following are just two typical examples: a Pursue an investigative study on a particular topic, with an assessment of written report plus viva, and b A self-negotiated study in any subject area following a printed textbook or online material, assessed by a coursework consisting of a mixture of solutions to exercise questions, a written report, and a viva oral presentation.
Any other innovative format is encouraged. The module aims to 1. Provide students with an opportunity to pursue an academic area of interest independently, subject to the availability of an appropriate supervisor, where a taught module is not available. The aim of the first part of the module is to introduce students to the abstract algebraic structures of vector spaces, developing on the material on linear algebra learnt at level 4.
This primary example of algebraic structures has applications across science and engineering, and also provides a firm foundation of necessary basic algebraic notions for the student to further their study mathematical study.
The aim of the second part of the module is to develop a rigorous approach to the analysis of functions of a real and a complex variable. Further topics in complex integration are also covered and students are introduced to applications of these topics to improper integration of functions of a real variable.
This module develops a rigorous approach to the whole process of solving problems arising from real life scenarios and the module consists of providing solutions to a number of such problems. This structure underlies many aspects of program design and validation, and formal methods.
An introduction to combinatorics and the generating functions are designed to enhance the students algorithmic tool set. The topics covered in the second term part of this module is to introduce students to the abstract algebraic structures of groups, which arise from the ideas of symmetries and of vector and matrix calculus respectively.
These two primary examples of algebraic structures have applications across science and engineering, and also provide a firm foundation of necessary basic algebraic notions for the student to further their study mathematical study. The module covers mathematical and statistical modelling techniques that are applied in making decisions in areas of finance.
It also enables the student to investigate real-life statistical data. This module introduces important financial concepts and develops statistical modelling techniques. Statistical regression models are applied to financial data e. The students will develop skills in statistical and mathematical modelling of real data to aid future employability. This module serves as a core module for all maths students and optional for Data Science students to do a one-semester project in the broader sense.
The feature of the module is summarised as follows. Students will follow their own interest to pursue an individualised study independently under staff supervision. Students taking this module with the same supervisor may study the same subject but the assessments should be individualised. The allocation of supervisors to students should be done at the end of year two. Students can take this module in either autumn or spring period. The programme of study is very much individualised and there is a variety of format.
The following are just two typical examples: a Pursue an investigative study on a particular topic, with an assessment of written report plus viva, and b A self-negotiated study in any subject area following a printed textbook or online material, assessed by a coursework consisting of a mixture of solutions to exercise questions, a written report, and a viva oral presentation. Any other innovative format is encouraged. The module aims to 1. Provide students with an opportunity to pursue an academic area of interest independently, subject to the availability of an appropriate supervisor, where a taught module is not available.
This module introduces Vector-Valued Functions and extends ideas of calculus of one dimension to Vector-Valued Functions. This module develops a rigorous approach to the whole process of solving problems arising from real life scenarios and the module consists of providing solutions to a number of such problems. Introduce the process of model building from a non-mathematical description of a physical or industrial process or in a business application.
Introduce the idea of mathematical modelling as a means of solving real problems. Develop the student's ability to work effectively in-groups. Improve the student's communication skills through report writing and presentation.
The module enables students to undertake an appropriate short period of professional activity, related to their course at level 6, with a business or community organisation and to gain credit for their achievements. The activity can be a professional training, a volunteering activity, employment activity, an activity within the School of Computing and Digital Media Virtual Business Environment VBE , placement or business start-up activity.
It is expected student should work for hours which should be recorded clearly in a learning log for instance in the portfolio. The hours can be completed in 25 working days in a FT mode, or spread over a semester in a PT mode.
Students should register with the module leader to be briefed on the module, undergo induction and Work Based Learning planning and to have the Work Based Learning approved, before they take up the opportunity. The aim of the first part of the module is to introduce students to the abstract algebraic structures of vector spaces, developing on the material on linear algebra learnt at level 4.
This primary example of algebraic structures has applications across science and engineering, and also provides a firm foundation of necessary basic algebraic notions for the student to further their study mathematical study. The aim of the second part of the module is to develop a rigorous approach to the analysis of functions of a real and a complex variable.
Further topics in complex integration are also covered and students are introduced to applications of these topics to improper integration of functions of a real variable. The module is an introduction to modern ideas in cryptography.
It proves the background to the essential techniques and algorithms of cryptography in widespread use today, as well as the essentials of number theory underlying them. The module looks at symmetric ciphersystems and their use in classical cryptography as well as public key systems developed to support internet commerce and deliver data security for private individuals. The module will enable students to understand the mathematics underpinning key algorithms, how they operate using small values and how computer packages such as MAPLE allow us to apply them at a more realistic scale.
The module is an introduction to modern ideas in error correcting codes. It provides the background to the essential techniques and algorithms in widespread use today, as well as the essentials of number theory and finite field theory underlying them.
Error correcting codes are an important part of the data communications theory and allow a message to be recovered even if errors have been introduced during transmission.
All of the subjects and the teachers are quite fun. They prepared me a lot, they help you look for jobs, help you with interview skills. There's a lot of opportunities at London Met. I love London Met, I had a great time — everyone has a good time. You're going to have a great time, keep yourself involved, you're going to widen your experience. Throughout the past three years every day was a special day, knowing that I'm getting closer to my career and my dream.
A degree in mathematics can open up a wide range of career options. You could take up a role in scientific research, design and development, management services, computing, financial work, statistical work or teaching.
You could also go on to do postgraduate study. This is a four-year degree course with a built-in foundation year Year 0. It's the perfect route into university if you can't meet the necessary entry requirements or don't have the traditional qualifications required to start a standard undergraduate degree. Please note, in addition to the tuition fee there may be additional costs for things like equipment, materials, printing, textbooks, trips or professional body fees. Additionally, there may be other activities that are not formally part of your course and not required to complete your course, but which you may find helpful for example, optional field trips.
The costs of these are additional to your tuition fee and the fees set out above and will be notified when the activity is being arranged. Discover Uni is an official source of information about university and college courses across the UK. The widget below draws data from the corresponding course on the Discover Uni website, which is compiled from national surveys and data collected from universities and colleges.
If a course is taught both full-time and part-time, information for each mode of study will be displayed here. If you're an international student or an EU student who requires Student visa sponsorship, simply apply direct.
Call or apply online. If you're an international applicant wanting to study full-time, you can choose to apply via UCAS or directly to the University. If you're applying for part-time study, you should apply directly to the University.
If you require a Student visa, please be aware that you will not be able to study as a part-time student at undergraduate level. If you will be applying direct to the University you are advised to apply as early as possible as we will only be able to consider your application if there are places available on the course.
The highly-commended book, 'Flexible Regression and Smoothing,' aims to help readers understand how to learn from data encountered in many fields. Our careers-focused University placed in the top ten for student satisfaction for Music, Mathematics and Economics.
Events to celebrate the School will take place from 6 - 14 June. More about this course Our teaching plans for autumn Entry requirements Modular structure What our students say Where this course can take you How to apply.
Why study this course? Play Video. Visit our School of Computing and Digital Media's student showcase. Read about Maria Koukiali's student experience. Visit Antonella Petrocco's student profile. Hear Vivienne Spoerri Cleary's plans post-graduation. Studying maths as a mature student. More about this course Our Mathematics including foundation year BSc Hons degree begins with a preparatory year designed to build your confidence and academic capabilities while helping you gain skills in several areas.
Assessment Your assessments will include: regular online quizzes lab-based tests short answer tests individual and group assignments Professional accreditation This course is accredited by the Institute of Mathematics and its Applications IMA.
Course type Undergraduate. Typical duration. Location Holloway. Cost Please select your entry point to display the fee. UCAS code G Entry requirements View. Our teaching plans for autumn We are planning to return to our usual ways of teaching this autumn including on-campus activities for your course.
Accreditation of Prior Learning Any university-level qualifications or relevant experience you gain prior to starting university could count towards your course at London Met. English language requirements To study a degree at London Met, you must be able to demonstrate proficiency in the English language.
Cyber Security Fundamentals core, 30 credits. Introduction to Robotics and Internet of Things core, 30 credits. Your email will only be seen by the event organizer. Your Name. Email Address. Enter the code as shown below:. Send message Please wait Copy Event URL. Events are social. Allow Facebook friends to see your upcoming events? Yes Recommended Yes Recommended.
0コメント