Undergraduate Course: AI Large Practical (INFR09043)
|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
|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).
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
Course Delivery Information
|Academic year 2016/17, Not available to visiting students (SS1)
|Learning and Teaching activities (Further Info)
Lecture Hours 8,
Programme Level Learning and Teaching Hours 4,
Directed Learning and Independent Learning Hours
|Assessment (Further Info)
|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).
|No Exam Information
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.
|Course organiser||Dr Alan Smaill
Tel: (0131 6)50 2710
|Course secretary||Mrs Victoria Swann
Tel: (0131 6)51 7607
© Copyright 2016 The University of Edinburgh - 3 February 2017 4:25 am