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Session: 2022/23
Last modified: 21/03/2022 10:00:28
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Title of Module: Mathematics Project |
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Code: MATH10011 |
SCQF Level: 10
(Scottish Credit and Qualifications Framework) |
Credit Points: 40 |
ECTS: 20
(European Credit Transfer Scheme) |
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| School: | School of Computing, Engineering and Physical Sciences |
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| Module Co-ordinator: | Alan
J.
Walker |
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| Summary of Module |
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The mathematics (or statistics) final year project offers the opportunity for students to put their knowledge into practice, experiencing how mathematics (or statistics) is carried out in a research environment.
Students will conduct their independent research project with staff supervision. Taught sessions on any extra software related material that may be necessary will be provided.
In the initial stages of the Honours project the outcome for the student is a thorough understanding of their project area. A clear plan will be delineated as to what is to be achieved in the main part of the project, identifying key milestones along the way.
Students will learn to identify, analyse and synthesise the necessary mathematical (or statistical) concepts and methodologies in a critical manner. It is important that a coherent pathway between the initial problem and the final conclusions is maintained.
With reference to the Mathematics programme, this module offers the students the opportunity to learn by experience, with suitable supervisory guidance, whilst confidently employing their mathematical (or statistical) knowledge and problem-solving techniques.
Further, students will be asked to consider target setting and evaluation of their own work and will also be encouraged to reflect on personal and professional learning in academic work. The PDP process will culminate in the production of an Initial Professional Development Action Plan.
- Graduate Attributes (Academic): critical thinker; analytical; inquiring; knowledgeable; digitally literate; problem solver; autonomous; incisive; innovative.
- Graduate Attributes (Personal): effective communicator; influential; motivated.
- Graduate Attributes (Professional): collaborative; research-minded; enterprising; ambitious; driven.
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| Module Delivery Method |
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| Face-To-Face | Blended | Fully Online | HybridC | HybridO | Work-based Learning |
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Face-To-Face
Term used to describe the traditional classroom environment where the students and the lecturer meet synchronously in the same room for the whole provision.
Blended
A mode of delivery of a module or a programme that involves online and face-to-face delivery of learning, teaching and assessment activities, student support and feedback. A programme may be considered “blended” if it includes a combination of face-to-face, online and blended modules. If an online programme has any compulsory face-to-face and campus elements it must be described as blended with clearly articulated delivery information to manage student expectations
Fully Online
Instruction that is solely delivered by web-based or internet-based technologies. This term is used to describe the previously used terms distance learning and e learning.
HybridC
Online with mandatory face-to-face learning on Campus
HybridO
Online with optional face-to-face learning on Campus
Work-based Learning
Learning activities where the main location for the learning experience is in the workplace.
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| Term(s) for Module Delivery |
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(Provided viable student numbers permit).
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| Term 1 | | Term 2 | | Term 3 | |
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| Learning Outcomes: (maximum of 5 statements) |
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On successful completion of this module the student will be able to:
L1.
Develop a plan for an extended mathematical and/or statistical investigation.
L2.
Demonstrate understanding of the context of the investigation.
L3.
Carry out an extended investigation, applying appropriate mathematical and/or statistical techniques.
L4.
Communicate the plan, the context and the output to peers and professional colleagues. |
| Employability Skills and Personal Development Planning (PDP) Skills |
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| SCQF Headings |
During completion of this module, there will be an opportunity to achieve
core skills in:
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| Knowledge and Understanding (K and U) |
SCQF Level 10.
The project covers all relevant areas mentioned at SCQF Level 10. The student will carry out a review of the background to the work to be undertaken with the aid of suitable published resources, together with interaction with their supervisor and other staff.
The student will be able to identify and develop their understanding of the key concepts underpinning their investigations.
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| Practice: Applied Knowledge and Understanding |
SCQF Level 10.
The student will utilise the necessary mathematical and/or statistical skills to carry out an extended piece of work. The project is an excellent way for students to apply the knowledge and understanding they have developed throughout their programme across a range of modules.
The student will execute a research-driven project in which they have to plan and log an investigation, identifying key milestones along the way.
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| Generic Cognitive skills |
SCQF Level 10.
The student will produce, present and evaluate information and ideas in a coherent and well documented way. |
| Communication, ICT and Numeracy Skills |
SCQF Level 10.
The student will:
• convey ideas in well-structured and coherent forms;
• use a range of forms of communication effectively in both familiar and new contexts;
• use advanced techniques to obtain and process a variety of information and data, and;
• use software, as necessary, to support the work undertaken.
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| Autonomy, Accountability and Working with others |
SCQF Level 10.
The student will exercise initiative and independence in carrying out planned activities, will meet clearly delineated milestone agreed with their project supervisor. |
| Pre-requisites: |
Before undertaking this module the student should have
undertaken the following:
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Module Code:
MATH09002
| Module Title:
Advanced Calculus
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| Other: | The above module plus any 80 credits MATH coded options at Level 9. |
| Co-requisites | Module Code:
| Module Title:
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* Indicates that module descriptor is not published.
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| Learning and Teaching |
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This module offers training in a research context in mathematics and/or statistics. Professional skills that are relevant for any mathematically influenced career will be developed.
The delivery of the project part of the module offers, primarily, individual learning, although support on any necessary software would be offered where necessary. The student will be guided by the project supervisor regarding appropriate preparation, such as background reading, and in suitable approaches to be taken. It is to be expected, however, that the student will take the initiative in the design and development of their work.
At the conclusion of the project, an important professional skill is communication of project findings. This module offers an opportunity to experience formal communication processes by means of an oral presentation and the submission of a formal project report.
The PDP process will culminate in the production of an Initial Professional Development Action Plan.
Adjustments for special requirements can be made on request.
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Learning Activities
During completion of this module, the learning activities undertaken to
achieve the module learning outcomes are stated below:
| Student Learning Hours
(Normally totalling 200 hours):
(Note: Learning hours include both contact hours and hours spent on other learning activities) |
| Tutorial/Synchronous Support Activity | 48 |
| Independent Study | 352 |
| 400
Hours Total
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**Indicative Resources: (eg. Core text, journals, internet
access)
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The following materials form essential underpinning for the module content
and ultimately for the learning outcomes:
Materials will be suggested by the Project Supervisor.
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(**N.B. Although reading lists should include current publications,
students are advised (particularly for material marked with an asterisk*) to
wait until the start of session for confirmation of the most up-to-date
material)
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| Engagement Requirements |
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In line with the Academic Engagement Procedure, Students are defined as academically engaged if they are regularly engaged with timetabled teaching sessions, course-related learning resources including those in the Library and on the relevant learning platform, and complete assessments and submit these on time. Please refer to the Academic Engagement Procedure at the following link: Academic engagement procedure |
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Supplemental Information
| Programme Board | Physical Sciences |
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| Assessment Results (Pass/Fail) |
No
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| Subject Panel | Physical Sciences |
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| Moderator | Dr Wan Mekwi/Dr Kenneth Nisbet/Dr Alan Walker (as project topic dictates) |
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| External Examiner | Dr Calum Macdonald |
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| Accreditation Details | |
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| Version Number | 1.02 |
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| Assessment: (also refer to Assessment Outcomes Grids below) |
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| Category 1 (Physical) Output: Final Report (80%) |
| Category 2 (Presentation): Oral presentation (20%). |
(N.B. (i) Assessment Outcomes Grids for the module
(one for each component) can be found below which clearly demonstrate how the learning outcomes of the module
will be assessed.
(ii) An indicative schedule listing approximate times
within the academic calendar when assessment is likely to feature will be
provided within the Student Handbook.)
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Assessment Outcome Grids (Footnote A.)
Footnotes
A. Referred to within Assessment Section above
B. Identified in the Learning Outcome Section above
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Note(s):
- More than one assessment method can be used to assess individual learning outcomes.
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Schools are responsible for determining student contact hours. Please refer to University Policy on contact hours (extract contained within section 10 of the Module Descriptor guidance note).
This will normally be variable across Schools, dependent on Programmes &/or Professional requirements.
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| Equality and Diversity |
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The module is suitable for any student satisfying the pre-requisites.
UWS Equality and Diversity Policy |
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(N.B. Every effort
will be made by the University to accommodate any equality and diversity issues
brought to the attention of the School)
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