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://www.inf.ed.ac.uk/teaching/courses/ailp |
Taught in Gaelic? | No |
| Course description | A large practical (LP) during the third year is a compulsory part of all AI honours degrees. It is also compulsory for non-graduating students doing AI honours modules unless a student only stays at Edinburgh for a short period. Students on an AI joint ordinary degree do the LP only if they are not taking the CS group project.
Students are divided up into tutorial groups with a demonstrator allocated to each group. Tutorial groups will meet at least once a week at a time of mutual convenience. The LP coordinator and demonstrators will assist students with the planning and organisation of their LP. |
Information for Visiting Students
| Pre-requisites | None |
| Displayed in Visiting Students Prospectus? | No |
Course Delivery Information
| Not being delivered |
Summary of Intended Learning Outcomes
1 - Design and analysis of light-weight research projects.
2 - Plan to manage complex tasks with competing requirements.
3 - Perform comparative studies of alternative approaches to AI problem-solving.
4 - Manage time to complete: a) intermediate and final reports and b) software implementations, to deadlines.
5 - Write and debug a moderate piece of AI program.
6 - Write clear and concise documentation on an independent project.
7 - Assess own abilities and results.
8 - Carry out peer-refereeing and limited literature review. |
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.
* Exercise of peer evaluation.* 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 1
Tutorials 12
Timetabled Laboratories 0
Non-timetabled assessed assignments 53
Private Study/Other 34
Total 100 |
| Keywords | Not entered |
Contacts
| Course organiser | Mr Vijayanand Nagarajan
Tel: (0131 6)51 3440
Email: |
Course secretary | Mrs Victoria Swann
Tel: (0131 6)51 7607
Email: |
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