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Degree Regulations & Programmes of Study 2010/2011
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DRPS : Course Catalogue : School of Informatics : Informatics

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 09 (Year 3 Undergraduate)	Credits	10
Home subject area	Informatics	Other subject area	None
Course website	http://www.inf.ed.ac.uk/teaching/courses/ailp
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.

Entry Requirements
Pre-requisites	Students MUST have passed: Informatics 2A - Processing Formal and Natural Languages (INFR08008) AND ( Informatics 2B - Algorithms, Data Structures, Learning (INFR08009) OR Informatics 2D - Reasoning and Agents (INFR08010))	Co-requisites
Prohibited Combinations		Other requirements	Successful completion of Year 2 of an Informatics Single or Combined Degree, or equivalent by permission of the School. This course is not available to VUG students.
Additional Costs	None

Information for Visiting Students
Pre-requisites	None
Prospectus website	http://www.ed.ac.uk/studying/visiting-exchange/courses

Course Delivery Information

Delivery period: 2010/11 Semester 1, Not available to visiting students (SS1)						WebCT enabled: No		Quota: None
Location	Activity	Description	Weeks	Monday	Tuesday	Wednesday	Thursday	Friday
Central	Lecture		1-11			09:00 - 10:50
First Class	Week 1, Wednesday, 09:00 - 10:50, Zone: Central. Room 3.D02, Forrest Hill

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.
Please see Visiting Student Prospectus website for Visiting Student Assessment information

Special Arrangements
Not entered

Contacts
Course organiser	Dr Marcelo Cintra Tel: (0131 6)50 5118 Email: mc@inf.ed.ac.uk	Course secretary	Miss Tamise Totterdell Tel: 0131 650 9970 Email: t.totterdell@ed.ac.uk

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copyright 2010 The University of Edinburgh - 1 September 2010 6:09 am