Registry
Module Specifications
Archived Version 2022 - 2023
| |||||||||||||||||||||||||||||||||||||
Description The purpose of this module is to provide an overview of the tools, techniques and purpose of machine learning. Students will participate in a variety of innovative teaching activities to distinguish approaches and supervised and unsupervised methodologies within machine learning. In addition, they will evaluate the effects and implications of machine learning on sustainability and society and the role of explainable-AI on ML adoption. | |||||||||||||||||||||||||||||||||||||
Learning Outcomes 1. Understand the purpose and key applications of Machine Learning. 2. Distinguish between supervised and unsupervised Machine Learning methods and when and how to apply them. 3. Understand the concepts and application of machine learning and artificial intelligence in online learning and large data set applications. 4. Apply and synthesise the characteristics of different methods of machine learning 5. Evaluate the ethics of Big Data 6. Investigate the use of training/test data sets 7. Apply the Cross Industry Standard Process for Data Mining - Crisp-dm framework ML lifecycle Overarching process - iterative process 8. Analyse the potential impact of machine learning in the context of sustainability 9. Analyse the difference between ML research and real-world analysis needs | |||||||||||||||||||||||||||||||||||||
All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml |
|||||||||||||||||||||||||||||||||||||
Indicative Content and
Learning Activities | |||||||||||||||||||||||||||||||||||||
| |||||||||||||||||||||||||||||||||||||
Indicative Reading List | |||||||||||||||||||||||||||||||||||||
Other Resources None | |||||||||||||||||||||||||||||||||||||
Programme or List of Programmes | |||||||||||||||||||||||||||||||||||||
Archives: |
|