COMM514 - Research Project (2023)

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MODULE TITLEResearch Project CREDIT VALUE60
MODULE CODECOMM514 MODULE CONVENERUnknown
DURATION: TERM 1 2 3
DURATION: WEEKS 11 12 7
Number of Students Taking Module (anticipated) 25
DESCRIPTION - summary of the module content
In this module, you will work on a research problem in the area of Urban Analytics, applying the tools and techniques that you have learned throughout the modules of the programme. 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 urban analytics. 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 the area of Urban Analytics. It will help you prepare for projects both in an industry or commercial setting, as well as in further postgraduate research work, such as a PhD. The module builds 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 in Urban Analytics, 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)
Module Specific Skills and Knowledge:
  1. Demonstrate knowledge of a research topic in the area of Urban Analytics, acquired through a deep and self-motivated exploration of that topic
  2. Design and follow systematically the steps of research project development
  3. Apply complex and appropriate analysis and development techniques at each stage of the project
Discipline Specific Skills and Knowledge:
  1. Show familiarity with the background and context of a new application area
  2. Work in an interdisciplinary area of relevance to Urban Analytics
Personal and Key Transferable/ Employment Skills and Knowledge:
  1. Conduct independent study, including library and web-based research
  2. Reflect critically on processes and products
  3. Plan an extended project and manage time effectively
  4. Present work to a non-specialist audience
 
SYLLABUS PLAN - summary of the structure and academic content of the module

Not appicable to this module.

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 0.00
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 Research, preparation and writing up undertaken by student
     

 

ASSESSMENT
FORMATIVE ASSESSMENT - for feedback and development purposes; does not count towards module grade
Form of Assessment Size of Assessment (e.g. duration/length) ILOs Assessed Feedback Method
None      
       

 

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 - project proposal 10 2 pages 1,2,4 Written
Coursework - final presentation 20 10 minutes 1,4,9 Written
Coursework - final report 70 10 pages 1-9 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 - initial portfolio Final report (100%) All To be agreed by consequences of failure meeting
Coursework - final presentation Final report (100%) All To be agreed by consequences of failure meeting
Coursework - final report Final report (100%) All To be agreed by consequences of failure meeting

 

RE-ASSESSMENT NOTES

Re-assessment will be by resubmission of the final 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

ELE – College to provide hyperlink to appropriate pages

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 Thursday 02 December 2021 LAST REVISION DATE Tuesday 24 January 2023
KEY WORDS SEARCH Data Science, Urban Analytics