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DRPS : Course Catalogue : School of Informatics : Informatics

Undergraduate Course: AI Large Practical (INFR09018)

Course Outline
SchoolSchool of Informatics CollegeCollege of Science and Engineering
Credit level (Normal year taken)SCQF Level 9 (Year 3 Undergraduate) AvailabilityAvailable to all students
SCQF Credits10 ECTS Credits5
SummaryThe AI Large Practical gives students the experience of building a moderately large system, exemplifying a proposed solution to some AI problem. It also gives experience in running experiments, and reporting and analysing results.

Students will have experience in:
- Designing a well structured system
- Implementing such a system
- Designing and running experiments
- Reporting and analysing results

Course description - 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.
- 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 Software Engineering Large Practical (INFR09039) OR Computer Science Large Practical (INFR09040)
Students MUST NOT also be taking Informatics Research Proposal (INFR11071)
Other requirements This course is open to all undergraduate Informatics students including those on joint degrees. For external students where this course is not listed in your DPT, please seek special permission from the course organiser.
This course is not available to VUG students.
Information for Visiting Students
High Demand Course? Yes
Course Delivery Information
Academic year 2015/16, Not available to visiting students (SS1) Quota:  40
Course Start Semester 1
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 100 ( Lecture Hours 10, Supervised Practical/Workshop/Studio Hours 5, Feedback/Feedforward Hours 10, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 73 )
Assessment (Further Info) Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Additional Information (Assessment) Assessment
No formal written examination; the assessment is based on practical work and a written report submitted at the end of the project period.

You should expect to spend approximately 52 hours on the coursework for this course.
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 organiserMr Stuart Anderson
Tel: (0131 6)50 5191
Course secretaryMiss Beth Muir
Tel: (0131 6)51 7607
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