Module manager: Dr Arash Rabbani
Email: A.Rabbani@leeds.ac.uk
Taught: Semester 2 (Jan to Jun) View Timetable
Year running 2024/25
Either COMP1421 Fundamental Mathematical Concepts Or ELEC1704 Further Engineering Mathematics
This module is not approved as a discovery module
Artificial intelligence is a developed field within computer science and is rapidly evolving. The foundations of this field have roots in the work of Alan Turing investigating the boundary between human intelligence and computers. Technologies developed in the field of artificial intelligence have found their way into everyday life and form services and infrastructure that we rely on a day-to-day basis. Such services and infrastructure include internet search, predictive text, speech recognition and automation. This module covers the foundations of the topics in artificial intelligence and considers its uses in a wide range of applications as well as the ethical and legal issues that arise.
This module provides the foundations of artificial intelligence and considers the legal, ethical and social issues surrounding the use of artificial intelligence.
On successful completion of this module a student will have demonstrated the ability to:
- deconstruct the ethical arguments surrounding artificial intelligence and its applications.
- employ artificial intelligence techniques to solve real world problems.
- evaluate the effectiveness of artificial intelligence techniques when applied to real world problems.
- identify weaknesses and limitations of artificial intelligence techniques.
This module covers the following 3 topic areas:
- Artificial intelligence techniques: search techniques, logic, knowledge representation, probability, Markov models, Bayesian networks and genetic algorithms.
- Ethical issues: soft artificial intelligence, hard artificial intelligence, general artificial intelligence and singularity.
- Applications of artificial intelligence: text mining, game play and searching, object recognition.
| Delivery type | Number | Length hours | Student hours |
|---|---|---|---|
| Lecture | 22 | 1 | 22 |
| Practical | 9 | 2 | 18 |
| Private study hours | 60 | ||
| Total Contact hours | 40 | ||
| Total hours (100hr per 10 credits) | 100 | ||
Coursework and labs.
| Assessment type | Notes | % of formal assessment |
|---|---|---|
| In-course Assessment | Coursework- Application Topic 1 | 20 |
| In-course Assessment | Coursework-Application Topic 2 | 20 |
| Total percentage (Assessment Coursework) | 40 | |
Exercises sheets will be provided for students. Sample solutions will be made available via tutorial classes or on Minerva. This module is assessed by examination only.
| Exam type | Exam duration | % of formal assessment |
|---|---|---|
| Open Book exam | 2.0 Hrs 0 Mins | 60 |
| Total percentage (Assessment Exams) | 60 | |
This module is assessed by examination only.
The reading list is available from the Library website
Last updated: 9/25/2024
Errors, omissions, failed links etc should be notified to the Catalogue Team