Undergraduate Course: AI Large Practical (INFR09043)

Course Outline
School	School of Informatics	College	College of Science and Engineering
Credit level (Normal year taken)	SCQF Level 9 (Year 3 Undergraduate)	Availability	Not available to visiting students
SCQF Credits	20	ECTS Credits	10
Summary	Students will gain experience in how to: - Designing a well structured system - Implementing such a system - Designing and running experiments - Reporting and analysing results This 20 credit course replaces INFR09018 AI Large Practical (10 credits).
Course description	This project gives students experience in developing a non-trivial computational solution to an AI problem domain. In particular the student gains practical experience of the following: - Gentle introduction to the issues and requirements of the more demanding fourth-year project. - Experience of reading published papers and identifying their essential content. - Experience of describing a problem area and a proposed computational exploration of a solution. - 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

Entry Requirements (not applicable to Visiting Students)
Pre-requisites		Co-requisites
Prohibited Combinations	Students MUST NOT also be taking Computer Science Large Practical (INFR09044) OR Software Engineering Large Practical (INFR09045) OR AI Large Practical (INFR09018) OR Informatics Research Proposal (INFR11137)	Other requirements	None

Course Delivery Information

Academic year 2017/18, Not available to visiting students (SS1)		Quota: None
Course Start	Semester 1
Timetable	Timetable
Learning and Teaching activities (Further Info)	Total Hours: 200 ( Lecture Hours 8, Programme Level Learning and Teaching Hours 4, Directed Learning and Independent Learning Hours 188 )
Assessment (Further Info)	Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Additional Information (Assessment)	Coursework - 100% One large design, implementation and evaluation project, done in three parts. Ťbr /ť 1. The first part consists of a proposal document outlining the problem area, and proposing a solution technique and design (formative assessment).Ťbr /ť 2. The second part is an initial implementation, providing basic capabilities for a full system (50% of course total).Ťbr /ť 3. The third part is covers experimentation, analysis and reporting of results (50% of course total).
Feedback	Not entered
No Exam Information

Learning Outcomes
On completion of this course, the student will be able 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.