Module code: ECN386
Credits: 15.0
Semester: SEM1
Contact: Dr Jonathan De Quidt
Prerequisite: Before taking this module you must take ECN206
This module explores the economic causes and consequences of rapid technological change, with a particular focus on 21st-century developments in machine learning and "artificial intelligence" (AI). Material to be covered may include: the economic history of major periods of innovation; the intellectual history of AI research; economic theories of the interaction between humans and technology; the macroeconomic impact of AI on growth and the distribution of income; its effects on the markets for labour, education, and health care; its broader socio-political and cultural consequences; and the use of AI tools in economics and finance research. The specific topics chosen are at the discretion of the instructor.
Connected course(s): UDF DATA
Assessment: 60.0% Coursework, 20.0% Practical, 20.0% Examination
Level: 6
