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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2017/2018

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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
Summary***PLEASE NOTE: This course has been replaced by a 20 credit version - INFR09043 AI Large Practical, please see the entry for that course.***

The 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
Pre-requisitesNone
High Demand Course? Yes
Course Delivery Information
Not being delivered
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
None
Additional Information
Course URL http://course.inf.ed.ac.uk/ailp
Graduate Attributes and Skills Not entered
KeywordsNot entered
Contacts
Course organiserMr Stuart Anderson
Tel: (0131 6)50 5191
Email:
Course secretaryMrs Victoria Swann
Tel: (0131 6)51 7607
Email:
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