MTHM603 - Data Science and Modelling Dissertation (2021)

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MODULE TITLEData Science and Modelling Dissertation CREDIT VALUE60
MODULE CODEMTHM603 MODULE CONVENERDr Markus Mueller (Coordinator)
DURATION: TERM 1 2 3
DURATION: WEEKS 5 12
Number of Students Taking Module (anticipated) 20
DESCRIPTION - summary of the module content

This module offers the ideal opportunity to develop a deep understanding of data science approaches to your specialism area. There will be supervision from experts in data science and modelling and from experts in your chosen science and technology area. You will apply your technical and application specific skills and knowledge to undertake original and interdisciplinary research within data science and modelling. The project will require understanding of the setting, a critical review of possible approaches, choice of appropriate methodology, an extended piece of data analysis or modelling work and a clear and concise summary of the background, data, methodology, results and conclusions. You will communicate your findings to your peers and for assessment through a dissertation, presentation and other digital media.

AIMS - intentions of the module

This module aims to give you in-depth experience of applying Data Science and Modelling approaches to real-world problems, preparing you for work in a business/industrial/governmental/NGO setting or for further post-graduate study/research. The module aims to build on the knowledge and skills you have acquired in the taught modules of the programme through an investigation of an area of particular interest to you. It aims to give you experience of many aspects of research work, including problem formulation, literature review, planning, tool development, experimentation, analysis, interpretation and presentation of results.

INTENDED LEARNING OUTCOMES (ILOs) (see assessment section below for how ILOs will be assessed)

Module Specific Skills and Knowledge:

1

Demonstrate knowledge of a research topic of relevance to applied data science and modelling, acquired through a deep and self-motivated exploration of that topic;

2

Design and follow systematically the phases of research project development;

3

Apply sophisticated and appropriate analysis and development techniques at each stage of a project;

Discipline Specific Skills and Knowledge:

4

Show familiarity with the background and context of an application area;

5

Apply methods and tools learnt in the context of other fields to the application in question;

6

Produce full documentation as appropriate to the system and research;

Personal and Key Transferable/ Employment Skills and Knowledge:

7

Conduct independent study, including library and web-based research;

8

Plan an extended project, demonstrate independent research, and manage time effectively;

9

Present and communicate work to a non-specialist audience;

10

Technical and scientific report writing and presentation.

 

SYLLABUS PLAN - summary of the structure and academic content of the module

Not applicable.

LEARNING AND TEACHING
LEARNING ACTIVITIES AND TEACHING METHODS (given in hours of study time)
Scheduled Learning & Teaching Activities 20.00 Guided Independent Study 580.00 Placement / Study Abroad
DETAILS OF LEARNING ACTIVITIES AND TEACHING METHODS

Category

Hours of study time

Description

Scheduled Learning and Teaching Activities

20

Project supervision

Guided Independent Study

580

Individual assessed work

 

ASSESSMENT
FORMATIVE ASSESSMENT - for feedback and development purposes; does not count towards module grade

Form of Assessment

Size of the assessment e.g. duration/length

ILOs assessed

Feedback method

Two-page project proposal in early stages of project

2 pages

All

Oral

Draft dissertation

10+ pages

All

Written and/or oral

 

SUMMATIVE ASSESSMENT (% of credit)
Coursework 100 Written Exams 0 Practical Exams 0
DETAILS OF SUMMATIVE ASSESSMENT

Form of Assessment

 

% of credit

Size of the assessment e.g. duration/length

ILOs assessed

Feedback method

Mid-Point Report

15

2,000 words (or equivalent)

1-4, 7-10

Written and oral

Final Presentation

15

15 minutes

1, 4, 9

Written and oral

Dissertation

70

15,000 words (or equivalent)

All

Written

 

DETAILS OF RE-ASSESSMENT (where required by referral or deferral)

Original form of assessment

Form of re-assessment

ILOs re-assessed

Time scale for re-assessment

Mid-Point Report

Coursework (100%)

1-4, 7-10

To be agreed by consequences of failure meeting

Final Presentation

Coursework (100%)

1, 4, 9

To be agreed by consequences of failure meeting

Dissertation

Coursework (100%)

All

To be agreed by consequences of failure meeting

 

RE-ASSESSMENT NOTES

Deferral – if you miss an assessment for certificated reasons judged acceptable by the Mitigation Committee, you will normally be either deferred in the assessment or an extension may be granted. The mark given for a re-assessment taken as a result of deferral will not be capped and will be treated as it would be if it were your first attempt at the assessment.

Referral – if you have failed the module overall (i.e. a final overall module mark of less than 50%) you will be required to resubmit the original assessment as necessary. The mark given for a re-assessment taken as a result of referral will be capped at 50%.

RESOURCES
INDICATIVE LEARNING RESOURCES - The following list is offered as an indication of the type & level of
information that you are expected to consult. Further guidance will be provided by the Module Convener

Basic reading:

  • Subject to project topic

Web-based and electronic resources:

  • ELE – College to provide hyperlink to appropriate pages

Other resources:

  • Subject to project topic

Reading list for this module:

There are currently no reading list entries found for this module.

CREDIT VALUE 60 ECTS VALUE 30
PRE-REQUISITE MODULES None
CO-REQUISITE MODULES None
NQF LEVEL (FHEQ) 7 AVAILABLE AS DISTANCE LEARNING No
ORIGIN DATE Monday 14 December 2020 LAST REVISION DATE Friday 18 June 2021
KEY WORDS SEARCH Research; Literature review; Data collection; Data analysis; Modelling; Simulation