Undergraduate Course: AI Large Practical (INFR09018)
Course Outline
| School | School of Informatics |
College | College of Science and Engineering |
| Course type | Standard |
Availability | Available to all students |
| Credit level (Normal year taken) | SCQF Level 9 (Year 3 Undergraduate) |
Credits | 10 |
| Home subject area | Informatics |
Other subject area | None |
| Course website |
http://course.inf.ed.ac.uk/ailp |
Taught in Gaelic? | No |
| Course description | 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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Information for Visiting Students
| Pre-requisites | None |
| Displayed in Visiting Students Prospectus? | No |
Course Delivery Information
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| Delivery period: 2013/14 Semester 1, Not available to visiting students (SS1)
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Learn enabled: No |
Quota: None |
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Web Timetable |
Web Timetable |
| Course Start Date |
16/09/2013 |
| Breakdown of 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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| Additional Notes |
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| Breakdown of Assessment Methods (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
|
| No Exam Information |
Summary of Intended Learning Outcomes
Students should learn how 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. |
Assessment Information
Written Examination 0
Assessed Assignments 100
Oral Presentations 0
Assessment
No formal written examination; the assessment is based on practical work and a written report submitted at the end of the project period. |
Special Arrangements
| None |
Additional Information
| Academic description |
Not entered |
| Syllabus |
- 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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| Transferable skills |
Not entered |
| Reading list |
Not yet available |
| Study Abroad |
Not entered |
| Study Pattern |
Lectures: 4
Tutorial opportunities: 12
Timetable laboratories: 0
Non-timetabled assessed assignments: 52
Private study/Other: 32
Total 100 |
| Keywords | Not entered |
Contacts
| Course organiser | Mr Vijayanand Nagarajan
Tel: (0131 6)51 3440
Email: vijay.nagarajan@ed.ac.uk |
Course secretary | Miss Claire Edminson
Tel: (0131 6)51 7607
Email: C.Edminson@ed.ac.uk |
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