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 2016-17 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 COMP529.

    		•

    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
    1  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  2  10  No reassessment opportunity  Standard UoL penalty applies  Assessment 1 There is no reassessment opportunity,  
    Coursework  Design specification  2  10  No reassessment opportunity  Standard UoL penalty applies  Assessment 2 There is no reassessment opportunity,  
    Practical Assessment  System demonstration  2  10  No reassessment opportunity  Standard UoL penalty applies  Assessment 3 There is no reassessment opportunity,  
    Coursework  Project portfolio, 5  2  70  Yes  Standard UoL penalty applies  Assessment 4 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: