In this module we’ll look at the myths and realities of artificial intelligence (AI), what it is and what it isn’t. We will delve into historical events that have led to its growth. Finally, we’ll focus on the applications of AI and how it’s become part of many aspects of everyday life.
In this module we will delve deeper into AI and its applications in research. We will recap typical activities that a researcher would carry out, then take a look at the junctures within the research process timeline where AI can jump in to play a part, and finally, we will take a closer look at data analytics, and data mining.
In this module we’ll go through both the optimistic and the dark side of AI. We will begin by defining the ethical issues that surround AI, before looking at specific challenges in employment, distribution of wealth, racial inequalities and data science.
This module will introduce machine learning as a part of AI and discuss different types of ML and their applicability in processing data. Additionally, we will cover the fundamental principles of ML, the three main types of ML, and the ML process.
