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 | Applied Artificial Intelligence | ||
Code | COMP534 | ||
Coordinator |
Dr BP Keetch Computer Science Blaine.Keetch@liverpool.ac.uk |
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Year | CATS Level | Semester | CATS Value |
Session 2023-24 | Level 7 FHEQ | Second Semester | 15 |
Aims |
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1. To provide students with an introduction to key topics in the field of Artificial Intelligence (AI), including Machine Learning, Deep Learning, Natural Language Processing (NLP) and Computer Vision. |
Learning Outcomes |
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(LO1) An in-depth understanding of key areas in applied machine learning. |
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(LO2) Ability to critically justify the use of Neural Network architectures and Deep Learning. |
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(LO3) Ability to apply state-of-the-art machine learning techniques to a variety of applications. |
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(LO4) Ability to critically evaluate the output of machine learning solutions. |
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(S1) Critical thinking and problem solving – Problem identification. |
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(S2) Critical thinking and problem solving – Critical analysis. |
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(S3) Creative thinking to develop appropriate solutions. |
Syllabus |
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Machine Learning basics (2 weeks): Neural Networks architectures and Deep Learning (2-3 weeks): Applications to Natural Language Processing (2-3 weeks): Applications to Computer Vision and Image Understanding (2-3
weeks): |
Teaching and Learning Strategies |
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Teaching Method 1 – Lecture Teaching Method 2 – Laboratory Work Standard on-campus delivery |
Teaching Schedule |
Lectures | Seminars | Tutorials | Lab Practicals | Fieldwork Placement | Other | TOTAL | |
Study Hours |
30 |
10 |
40 | ||||
Timetable (if known) | |||||||
Private Study | 110 | ||||||
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 |
(534) Assignment 1 There is a resit opportunity. Standard UoL penalty applies for late submission. This is not an anonymous assessment. | 20 | 30 | ||||
(534.1) Assignment 2 There is a resit opportunity. Standard UoL penalty applies for late submission. This is not an anonymous assessment. | 20 | 35 | ||||
(534.2) Assignment 3 There is a resit opportunity. Standard UoL penalty applies for late submission. This is not an anonymous assessment. | 20 | 35 |
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. |