Undergraduate Course: AI Large Practical (INFR09018)
||School of Informatics
||College of Science and Engineering
||Available to all students
|Credit level (Normal year taken)
||SCQF Level 9 (Year 3 Undergraduate)
|Home subject area
||Other subject area
||Taught in Gaelic?
||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
|Displayed in Visiting Students Prospectus?
Course Delivery Information
|Delivery period: 2011/12 Semester 1, Not available to visiting students (SS1)
||WebCT enabled: No
|Central||Lecture||1-11|| 09:00 - 10:50|
||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.
|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.
||* 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
||Not yet available
Timetabled Laboratories 0
Non-timetabled assessed assignments 53
Private Study/Other 34
||Dr Marcelo Cintra
Tel: (0131 6)50 5118
||Miss Tamise Totterdell
Tel: 0131 650 9970
copyright 2011 The University of Edinburgh -
3 April 2011 11:19 am