Undergraduate Course: AI Large Practical (INFR09043)
Course Outline
| School | School of Informatics |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 9 (Year 3 Undergraduate) |
Availability | Not available to visiting students |
| SCQF Credits | 20 |
ECTS Credits | 10 |
| Summary | **Replaced by new course - Informatics Large Practical (INFR09051)**
Students will gain experience in how to:
- Designing a well structured system
- Implementing such a system
- Designing and running experiments
- Reporting and analysing results
This 20 credit course replaces INFR09018 AI Large Practical (10 credits). |
| Course description |
This project gives students experience in developing a non-trivial computational solution to an AI problem domain. In particular the student gains practical experience of the following:
- Gentle introduction to the issues and requirements of the more demanding fourth-year project.
- Experience of reading published papers and identifying their essential content.
- Experience of describing a problem area and a proposed computational exploration of a solution.
- Exercise of reporting on modest pieces of scientific work: students have to explain what they did, and why, and what conclusions they reached, and why, and they have to do this clearly and convincingly.
- Experience of writing programs to investigate specific questions: students must write well-structured, well-documented programs because they too are acts of scientific communication.
Relevant QAA Computing Curriculum Sections: Artificial Intelligence
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Course Delivery Information
| Not being delivered |
Learning Outcomes
On completion of this course, the student will be able to:
- Design and implement a complex system.
- Consider alternative designs, both for internal properties, and as ways of tackling a given problem.
- Read technical papers, and explain their relevance to the chosen approach.
- Design and carry out appropriate experiments, and explain the methodology involved.
- Write a scholarly report, suitably structured and with supporting evidence.
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Contacts
| Course organiser | Dr Alan Smaill
Tel: (0131 6)50 2710
Email: A.Smaill@ed.ac.uk |
Course secretary | Miss Lisa Branney
Tel: (0131 6)51 7607
Email: L.Branney@ed.ac.uk |
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