Undergraduate Course: AI Large Practical (INFR09018)
Course Outline
| School | School of Informatics |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 9 (Year 3 Undergraduate) |
Availability | Available to all students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | The AI Large Practical gives students the experience of building a moderately large system, exemplifying a proposed solution to some AI problem. It also gives experience in running experiments, and reporting and analysing results.
Students will have experience in:
- Designing a well structured system
- Implementing such a system
- Designing and running experiments
- Reporting and analysing results
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| Course description |
- Gentle introduction to the issues and requirements of the more demanding fourth-year project.
- Experience of reading published papers and identifying their essential content.
- 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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Information for Visiting Students
| Pre-requisites | None |
| High Demand Course? |
Yes |
Course Delivery Information
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| Academic year 2015/16, Not available to visiting students (SS1)
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Quota: 40 |
| Course Start |
Semester 1 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 10,
Supervised Practical/Workshop/Studio Hours 5,
Feedback/Feedforward Hours 10,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
73 )
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| Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
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| Additional Information (Assessment) |
Assessment
No formal written examination; the assessment is based on practical work and a written report submitted at the end of the project period.
You should expect to spend approximately 52 hours on the coursework for this course. |
| Feedback |
Not entered |
| No Exam Information |
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 | Mr Stuart Anderson
Tel: (0131 6)50 5191
Email: S.Anderson@ed.ac.uk |
Course secretary | Miss Beth Muir
Tel: (0131 6)51 7607
Email: beth.muir@ed.ac.uk |
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