Study information

Data Science Research Project - 2019 entry

MODULE TITLEData Science Research Project CREDIT VALUE60
MODULE CODEECMM451 MODULE CONVENERDr Fabrizio Costa (Coordinator)
DURATION: TERM 1 2 3
DURATION: WEEKS 11 12 7
Number of Students Taking Module (anticipated) 10
DESCRIPTION - summary of the module content

In this module, you will work on a research problem in Data Science, bringing to bear the tools and techniques that you have learned to investigate a novel aspect of Data Science. This is an independent project, supervised by an expert from the relevant area, and culminates in writing a dissertation in the form of a research paper, describing your research and its results. Research topics can be selected from across the breadth of Data Science, and the project may include theoretical analysis, as well as practical software implementation.

AIMS - intentions of the module

This module aims to give you in-depth experience of research in Data Science, preparing you for research in a commercial setting or further post-graduate work. The module aims to build on the knowledge and skills you have acquired in the taught modules of the programme to allow you to investigate 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 and presentation of results.

 

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

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

Module Specific Skills and Knowledge

1. Demonstrate knowledge of a research topic of relevance to your MSc programme, 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 a new application area.
5. Produce full documentation as appropriate to the system and research.
6. Work in an interdisciplinary area.

Personal and Key Transferable / Employment Skills and Knowledge

7. Conduct independent study, including library and web-based research.
8. Reflect critically on processes and products.
9. Plan an extended project and manage time effectively.
10. Present work to a non-specialist audience.

 

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 Guided Independent Study 580 Placement / Study Abroad 0
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

Two-page project proposal in early stages of project.

 

SUMMATIVE ASSESSMENT (% of credit)
Coursework 100 Written Exams 0 Practical Exams 0
DETAILS OF SUMMATIVE ASSESSMENT
Form of Assessment % of Credit Size of Assessment (e.g. duration/length) ILOs Assessed Feedback Method
Coursework – mid point presentation 10 10 minutes 1, 4, 10 Written
Coursework – final presentation 20 20 minutes 1, 4, 10 Written
Coursework – dissertation  report 70 30-40 pages 2-9 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
Coursework – mid point presentation Coursework (100%) All To be agreed by consequences of failure meeting.
Coursework – final presentation Coursework (100%) All To be agreed by consequences of failure meeting.
Coursework – dissertation report Coursework (100%) All To be agreed by consequences of failure meeting.

 

RE-ASSESSMENT NOTES

Re-assessment will be by resubmission of the dissertation report. Referred students will retain the marks gained from the mid point and final presentations if passed.

 

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:

 

ELE: http://vle.exeter.ac.uk/

 

Web based and Electronic Resources:

 

Other Resources:

 

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 Tuesday 24th April 2018 LAST REVISION DATE Monday 18th February 2019
KEY WORDS SEARCH Computer science; research project

Please note that all modules are subject to change, please get in touch if you have any questions about this module.