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 ANALYSIS | ||
Code | COMP529 | ||
Coordinator |
Dr M Amen Computer Science Bakhtiar.Amen@liverpool.ac.uk |
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Year | CATS Level | Semester | CATS Value |
Session 2019-20 | M Level | First Semester | 15 |
Aims |
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To introduce the student to middleware often used in Big Data analytics. |
Learning Outcomes |
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(LO1) Understanding of algorithmic approaches for handling batch and streaming analysis. |
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(LO2) Understanding of middleware that can be used to enable algorithms to scale up to analysis of large datasets. |
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(LO3) Understanding of the impact of the middleware on how algorithms are articulated. |
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(S1) Numeracy/computational skills - Reason with numbers/mathematical concepts |
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(S2) Communication (oral, written and visual) - Following instructions/protocols/procedures |
Syllabus |
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Week 1: Introduction to Big Data, motivating real-world applications and assumed dependencies (including discussion on Operating System) |
Teaching and Learning Strategies |
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Teaching Method 1 - Lecture Description: Teaching Method 2 - Tutorial Description: |
Teaching Schedule |
Lectures | Seminars | Tutorials | Lab Practicals | Fieldwork Placement | Other | TOTAL | |
Study Hours |
36 |
12 |
48 | ||||
Timetable (if known) | |||||||
Private Study | 102 | ||||||
TOTAL HOURS | 150 |
Assessment |
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EXAM | Duration | Timing (Semester) |
% of final mark |
Resit/resubmission opportunity |
Penalty for late submission |
Notes |
Unseen Writting Exam | 120 | Semester 1 | 60 | Yes | Standard UoL penalty applies | Final Exam Notes ( applying to all assessments) Two assessment tasks (Not marked anonymously, each of which is expected to take approximately 18 hours of work to complete - each involves installing software, writing code and writing repair), as well as writing examination. |
CONTINUOUS | Duration | Timing (Semester) |
% of final mark |
Resit/resubmission opportunity |
Penalty for late submission |
Notes |
Assessment 2 There is a resit opportunity. Standard UoL penalty applies for late submission. This is not an anonymous assessment. Assessment Schedule (When) :Semester 1 | 36 hours for all CAs | 20 | ||||
Assessment 1 There is a resit opportunity. Standard UoL penalty applies for late submission. This is not an anonymous assessment. Assessment Schedule (When) :1 | 36 hours for all CAs | 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. |