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 MK Bane Computer Science M.K.Bane@liverpool.ac.uk |
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Year | CATS Level | Semester | CATS Value |
Session 2019-20 | Level 7 FHEQ | Second Semester | 15 |
Aims |
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To provide experience of working and collaborating in a software development team (in the context of HPC and Big Data). |
Learning Outcomes |
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(LO1) 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. |
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(LO2) Knowledge of how to specify and design HPC solutions to Big Data problems. |
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(LO3) Knowledge of how to implement and test HPC solutions to Big Data problems. |
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(LO4) An overall understanding of the process of developing HPC solutions to Big Data problems. |
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(LO5) An ability to demonstrate practical experience in the realisation of HPC solutions to Big Data problems. |
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(LO6) A critical understanding of the importance of software documentation and its creation. |
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(S2) Communication (oral, written and visual) - Presentation skills - written |
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(S3) Time and project management - Project planning |
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(S4) Critical thinking and problem solving - Critical analysis |
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(S5) Working in groups and teams - Group action planning |
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(S6) Working in groups and teams - Time management |
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(S7) Commercial awareness - Relevant understanding of organisations |
Syllabus |
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6 lectures will be given: |
Teaching and Learning Strategies |
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Teaching Method 1 - Lecture Teaching Method 2 - Tutorial |
Teaching Schedule |
Lectures | Seminars | Tutorials | Lab Practicals | Fieldwork Placement | Other | TOTAL | |
Study Hours |
6 |
8 |
14 | ||||
Timetable (if known) | |||||||
Private Study | 136 | ||||||
TOTAL HOURS | 150 |
Assessment |
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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 |
Project Portfolio There is a resit opportunity. Standard UoL penalty applies for late submission. This is not an anonymous assessment. Assessment Schedule (When) :2 | Project portfolio | 60 | ||||
Demonstration/Presentation of Results Standard UoL penalty applies for late submission. This is not an anonymous assessment. Assessment Schedule (When) :2 | System demonstration | 20 | ||||
Specification and Proposed Design Standard UoL penalty applies for late submission. This is not an anonymous assessment. Assessment Schedule (When) :2 | Requirement specific | 20 |
Recommended Texts |
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Reading lists are managed at readinglists.liverpool.ac.uk. Click here to access the reading lists for this module. |