Course - Business Economics in the Era of Artificial Intelligence - IØ8815
IØ8815 - Business Economics in the Era of Artificial Intelligence
About
Examination arrangement
Examination arrangement: Work
Grade: Passed / Not Passed
| Evaluation | Weighting | Duration | Grade deviation | Examination aids |
|---|---|---|---|---|
| Work | 100/100 |
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.
Recommended previous knowledge
This course is designed for students enrolled in a PhD programme.
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.
Version: 1
Credits:
2.5 SP
Study level: Doctoral degree level
Term no.: 1
Teaching semester: AUTUMN 2024
Language of instruction: English
Location: Trondheim
- Computer and Information Science
- Managerial Economics, Finance and Operations Research
- Industrial Economics and Technology Management
- Business Economics
- Operations Research
Department with academic responsibility
Department of Industrial Economics and Technology Management
Examination
Examination arrangement: Work
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
- Autumn ORD Work 100/100 INSPERA
-
Room Building Number of candidates
- * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"