course-details-portlet

IØ8815

Business Economics in the Era of Artificial Intelligence

Choose study year
Credits 2.5
Level Doctoral degree level
Course start Autumn 2024
Duration 1 semester
Language of instruction English
Location Trondheim
Examination arrangement Work

About

About the course

Course content

Business Economics in the Era of Artificial Intelligence is an intensive PhD course offered through the project "COMPutational economics and optimization - Agents, Machines and Artificial intelligence" (COMPAMA). COMPAMA is developing an emerging interdisciplinary area in the borderland between economics, optimization, psychology, machine learning and AI with the main purpose to understand the economic impact of decisions, made by both machines and human agents.

This course will focus on the impact of artificial intelligence within the field of economics and business. This topic may be addressed from different angles. These include the impact in econometric analyses addressing causal inference, use cases that are practically identical across economics and machine learning, and embedding prediction tools in economic decision-making. Another facet comprises the new business models that emerge from the innovations nurtured by AI.

Learning outcome

After having completed the course the candidate should be able to

  • understand what the economics of AI encompasses;
  • identify the impact of AI in different areas;
  • explain the consequences and changes in the economy driven by AI.

Learning methods and activities

Lectures. Participation in the seminars is expected, which includes attendance at all lectures, as well as contributions to the discussions. There will be compulsory activities in the course.

Required previous knowledge

Admission to a PhD programme within the fields of operations research, economics, finance, business, computer science, or similar.

Course materials

Selected literature. Will be given at course start-up.

Subject areas

  • Computer and Information Science
  • Managerial Economics, Finance and Operations Research
  • Industrial Economics and Technology Management
  • Business Economics
  • Operations Research

Contact information

Course coordinator

Lecturers

Department with academic responsibility

Department of Industrial Economics and Technology Management