Module Details

The information contained in this module specification was correct at the time of publication but may be subject to change, either during the session because of unforeseen circumstances, or following review of the module at the end of the session. Queries about the module should be directed to the member of staff with responsibility for the module.
Title Big Data Group Project
Code COMP530
Coordinator Dr A Hernich
Computer Science
Andre.Hernich@liverpool.ac.uk
Year CATS Level Semester CATS Value
Session 2017-18 Level 7 FHEQ Second Semester 15

Aims

  • To provide experience of working and collaborating in a software development team (in the context of HPC and Big Data).
  • To provide experience of all aspects of the declopment of a HPC solution to a Big Data problem.

  • To prepare students for their individual end of programme project (COMP702).
  • To consolidate material from the first semester, specifically material from COMP528 and COMP52 9.


  • Learning Outcomes

    An in depth and critical understanding of the operation of software development teams, the interpersonal skills required and the issues involved in working as part of a team.
    Knowledge of how to specify and design HPC solutions to Big Data problems.

    Knowledge of how to implement and test HPC solutions to Big Data problems.

    An overall understanding of the process of developing HPC solutions to Big Data problems. 

    An ability to demonstrate practical experience in the realisation of HPC solutions to Big Data problems.

    A critical understanding of the importance of software documentation and its creation.


    Syllabus

    6 lectures will be given: (i) Introduction to the project framework; (ii) Overview of available projects, (iii) meeting skills and project planning; (iv) requirements and design specification; (v) group dynamics and negotiation; (vi) quality and configuration management; document testing; report writing.



    Teaching and Learning Strategies

    Lecture -

    Introductory lectures on the operation of group project module and material on the practical solution to Big Data and HPC problems.

    Tutorial -

    Project reviews; project surgeries


    Teaching Schedule

      Lectures Seminars Tutorials Lab Practicals Fieldwork Placement Other TOTAL
    Study Hours 6

      8

          14
    Timetable (if known) Introductory lectures on the operation of group project module and material on the practical solution to Big Data and HPC problems.
     
      Project reviews; project surgeries
     
           
    Private Study 136
    TOTAL HOURS 150

    Assessment

    EXAM Duration Timing
    (Semester)
    % of
    final
    mark
    Resit/resubmission
    opportunity
    Penalty for late
    submission
    Notes
                 
    CONTINUOUS Duration Timing
    (Semester)
    % of
    final
    mark
    Resit/resubmission
    opportunity
    Penalty for late
    submission
    Notes
    Coursework  Requirement specific  20  No reassessment opportunity  Standard UoL penalty applies  Specification and Proposed Design There is no reassessment opportunity,  
    Coursework  System demonstration  20  No reassessment opportunity  Standard UoL penalty applies  Demonstration/Presentation of Results There is no reassessment opportunity,  
    Coursework  Project portfolio  60  Yes  Standard UoL penalty applies  Project Portfolio Notes (applying to all assessments) - none 

    Recommended Texts

    Reading lists are managed at readinglists.liverpool.ac.uk. Click here to access the reading lists for this module.
    Explanation of Reading List: