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 Analytics | ||
Code | COMP336 | ||
Coordinator |
Dr DK Wojtczak Computer Science D.Wojtczak@liverpool.ac.uk |
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Year | CATS Level | Semester | CATS Value |
Session 2021-22 | Level 6 FHEQ | 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 Teaching Method 2 - Laboratory Work Due to Covid-19, in 2021/22, one or more of the following delivery methods will be implemented based on the current local conditions. (b) Fully online delivery and assessment (c) Standard on-campus delivery |
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 |
(336) Final Exam This is an anonymous assessment. Assessment Schedule (When) :Semester 1 exam period | 120 minutes | 60 | ||||
CONTINUOUS | Duration | Timing (Semester) |
% of final mark |
Resit/resubmission opportunity |
Penalty for late submission |
Notes |
(336.1) Assessment 1 Standard UoL penalty applies for late submission. This is not an anonymous assessment. Assessment Schedule (When) :Semester 1 (week 4) | 18 hours | 20 | ||||
(336.2) Assessment 2 Standard UoL penalty applies for late submission. This is not an anonymous assessment. Assessment Schedule (When) :Semester 1 (week 6) | 18 hours | 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. |