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 | HONOURS YEAR ARTIFICIAL INTELLIGENCE PROJECT | ||
Code | COMP393 | ||
Coordinator |
Dr S Thomason Computer Science S.Thomason@liverpool.ac.uk |
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Year | CATS Level | Semester | CATS Value |
Session 2019-20 | Level 6 FHEQ | Whole Session | 30 |
Aims |
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1. To give students the opportunity to work in a guided but independent fashion to explore a substantial electronic commerce problem in depth, making practical use of principles, techniques and methodologies acquired elsewhere in the course. 2. To give experience of carrying out a large piece of individual work and in producing a dissertation. 3. To enhance communication skills, both oral and written. |
Learning Outcomes |
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(LO1) To specify a substantial problem, and produce a plan to address the problem |
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(LO2) To manage their time effectively so as to carry out their plan |
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(LO3) To locate and make use of information relevant to their project |
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(LO4) To design a solution to a substantial problem |
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(LO5) To implement and test their solution |
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(LO6) To evaluate in a critical fashion the work they have done, and to place it in the context of related work |
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(LO7) To prepare and deliver a formal presentation |
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(LO8) To prepare and deliver a demonstrable artefact |
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(LO9) To structure and write a dissertation |
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(S1) Problem solving skills |
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(S2) Organisational skills |
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(S3) Communication skills |
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(S4) IT skills |
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(S5) Ethical awareness |
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(S6) Lifelong learning skills |
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(S7) Leadership |
Syllabus |
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All projects involve elements of: research, design, realisation and evaluation. Particular topics are allocated on an individual basis. |
Teaching and Learning Strategies |
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Teaching Method 1 - Lecture Teaching Method 2 - Tutorial Teaching Method 3 - Laboratory Work |
Teaching Schedule |
Lectures | Seminars | Tutorials | Lab Practicals | Fieldwork Placement | Other | TOTAL | |
Study Hours |
2 |
12 |
1 |
15 | |||
Timetable (if known) | |||||||
Private Study | 285 | ||||||
TOTAL HOURS | 300 |
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 Specification and Design Documentation Standard UoL penalty applies for late submission. This is not an anonymous assessment. Assessment Schedule (When) :1 | 4500 words (with app | 20 | ||||
Final Dissertation Standard UoL penalty applies for late submission. This is not an anonymous assessment. Assessment Schedule (When) :2 | A self contained, co | 65 | ||||
Presentation and Demonstration Standard UoL penalty applies for late submission. This is not an anonymous assessment. Assessment Schedule (When) :2 | A 5 minute introduct | 15 |
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. |