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CO6226 - Artificial Intelligence and Machine Learning

1. Module Code

CO6226

2. Module Title

Artificial Intelligence and Machine Learning

3. Module Level

6

4. Module Credit

20 CC 10 ECTS

5. Delivery Site(s)

Exton Park (Chester), University College Isle of Man

6. Available to / Restrictions

None.

7. Expected Student Learning Activity

Scheduled hours                            Placement Hours                     Independent Guided study

32                                                0                                           168

8. Attendance Guidance

Students are expected to attend all lectures, tutorials and workshops.

Students are expected to provide evidence of engagement with online materials by using the Module Discussion Board for regular reflection on learning.

Students are expected to arrange meetings with team colleagues as required by group-work activities.

9. Module Content

Evaluation of the principles of automated intelligence.

Scientific and Engineering goals of intelligent technologies.

Approaches to the development of intelligent software.

Application domains for intelligent technologies.

10. Aims

To introduce the concept of artificial intelligence (AI) and to evaluate its role in the development of advanced software systems.

To introduce theoretical approaches to the development of intelligent software.

To undertake practical tasks to demonstrate how AI techniques can be implemented.

To analyse methods for designing and deploying intelligent technologies.

To critically evaluate the ways in which intelligent technologies can be used in various domains: e.g. business, medical, educational, legal, government and scientific.

11. Methods of Learning and Teaching and Formative Assessment

Directed and self-directed study.

Tutorials.

Interactive discussion boards.

Group work.

Demonstrations.

12. Learning Outcomes

On completion of this module the student will be able to:

1. Demonstrate a critical awareness of the capabilities of artificial intelligence.

2. Apply theoretical solutions to issues of representation.

3. Critically analyse the role that systems such as neural networks or software agents, for example, can play in the development of intelligent technologies.

4. Critically evaluate how organisations in various domains can utilise intelligent software.

5. Use suitable software tools to: design, implement, test, document and evaluate software that demonstrates intelligence, or to design an intelligent architecture within a suitable domain.

13. Assessment and Reassessment Components and Weighting

13a. Assessment

Formative assessments will be administered in workshop sessions where students will, individually or collectively, present findings of independent research into current developments in the field.

13b. Reassessment

Reassessment of any component will take the same form as the original assessment.

14. Key References

Alpaydin, E. (2014). Introduction to machine learning. (3rd ed.). Cambridge, MA: The MIT Press.

Cressler, J. D. (2009). Silicon Earth - Introduction to the microelectronics and nanotechnology revolution. Cambridge, United Kingdom: Cambridge University Press.

Easterby-Smith, M., & Lyles, M. A. (Eds.). (2011). Handbook of organizational learning and knowledge management. Chichester, United Kingdom: John Wiley & Sons.

Negnevitsky, M. (2011). Artificial intelligence: A guide to intelligent systems. Harlow, United Kingdom: Pearson Education.

Russell, S., & Norvig, P. (2010). Artificial intelligence: A modern approach. Upper Saddle River, NJ: Pearson.

Schalkoff, R .J. (2011). Intelligent systems - Principles, paradigms and pragmatics. Sudbury, United Kingdom: Jones & Bartlett.

Shoham, Y., & Leyton-Brown, K. (2009). Multi-agent systems: Algorithmic, game-theoretic and logical foundations. Cambridge, United Kingdom: Cambridge University Press.

Solomon, M. G., Kim, D. & Carrell, J. L. (2015). Fundamentals of communications and networking. (2nd ed.). Burlington, MA: Jones & Bartlett Learning.

Wooldridge, M. (2009). An introduction to multi-agent systems. Hoboken, NJ: Wiley.

Wu, J., & Irwin, J. D. (2013). Introduction to computer networks and cybersecurity. Boca Raton, FL: CRC Press.

A range of supporting articles can be sourced via online library resources. In particular, IEEE/IET Electronic Library and ACM Digital Library.