Undergraduate Course: AI Large Practical (INFR09018)
Course Outline
School | School of Informatics |
College | College of Science and Engineering |
Credit level (Normal year taken) | SCQF Level 9 (Year 3 Undergraduate) |
Availability | Available to all students |
SCQF Credits | 10 |
ECTS Credits | 5 |
Summary | ***PLEASE NOTE: This course has been replaced by a 20 credit version - INFR09043 AI Large Practical, please see the entry for that course.***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
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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
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Information for Visiting Students
Pre-requisites | None |
High Demand Course? |
Yes |
Course Delivery Information
Not being delivered |
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.
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Contacts
Course organiser | Mr Stuart Anderson
Tel: (0131 6)50 5191
Email: |
Course secretary | Mrs Victoria Swann
Tel: (0131 6)51 7607
Email: |
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