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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 9 (Year 3 Undergraduate) Credits 10
Home subject area Informatics Other subject area None
Course website 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.
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))
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
Displayed in Visiting Students Prospectus? No
Course Delivery Information
Delivery period: 2011/12 Semester 1, Not available to visiting students (SS1) WebCT enabled:  No Quota:  None
Location Activity Description Weeks Monday Tuesday Wednesday Thursday Friday
CentralLecture1-11 09:00 - 10:50
First Class First class information not currently available
No Exam Information
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

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
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
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
Course organiser Dr Marcelo Cintra
Tel: (0131 6)50 5118
Course secretary Miss Tamise Totterdell
Tel: 0131 650 9970
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copyright 2011 The University of Edinburgh - 3 April 2011 11:19 am