University Homepage
DRPS Homepage
DRPS Search
DRPS Contact
DRPS : Course Catalogue : School of Informatics : Informatics

Undergraduate Course: AI Large Practical (INFR09043)

Course Outline
SchoolSchool of Informatics CollegeCollege of Science and Engineering
Credit level (Normal year taken)SCQF Level 9 (Year 3 Undergraduate) AvailabilityNot available to visiting students
SCQF Credits20 ECTS Credits10
SummaryStudents 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. «br /»
1. The first part consists of a proposal document outlining the problem area, and proposing a solution technique and design (formative assessment).«br /»
2. The second part is an initial implementation, providing basic capabilities for a full system (50% of course total).«br /»
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:
  1. Design and implement a complex system.
  2. Consider alternative designs, both for internal properties, and as ways of tackling a given problem.
  3. Read technical papers, and explain their relevance to the chosen approach.
  4. Design and carry out appropriate experiments, and explain the methodology involved.
  5. Write a scholarly report, suitably structured and with supporting evidence.
Reading List
Additional Information
Course URL
Graduate Attributes and Skills Not entered
KeywordsNot entered
Course organiserDr Alan Smaill
Tel: (0131 6)50 2710
Course secretaryMrs Victoria Swann
Tel: (0131 6)51 7607
Help & Information
Search DPTs and Courses
Degree Programmes
Browse DPTs
Humanities and Social Science
Science and Engineering
Medicine and Veterinary Medicine
Other Information
Combined Course Timetable
Important Information