Courses Bachelor Display 2026-2027
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| Course Description | To PDF | |||||||||||||||||||||||||||||||||||||||
| Course title | Responsible Econometrics | |||||||||||||||||||||||||||||||||||||||
| Course code | EBS1011 | |||||||||||||||||||||||||||||||||||||||
| ECTS credits | 4,0 | |||||||||||||||||||||||||||||||||||||||
| Assessment | Whole/Half Grades | |||||||||||||||||||||||||||||||||||||||
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| Level | Introductory | |||||||||||||||||||||||||||||||||||||||
| Coordinator |
Andre Berger For more information: a.berger@maastrichtuniversity.nl |
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| Language of instruction | English | |||||||||||||||||||||||||||||||||||||||
| Goals |
* Students gain an overall awareness of responsibility in algorithmic and data-driven decision-making.
* Students understand the philosophy and ethics of digital technologies. * Students recognize and reflect on ethical difficulties related to data usage as well as (implementation of) recommendations suggested by economic analysis and theoretical models. |
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| Description |
This course introduces students to ethical, social and practical responsibilities involved in algorithmic and data-driven decision-making in the fields of Econometrics, Operations Research and Mathematical Economics. Key elements of responsible econometrics involve data privacy and protection, the ethics of letting algorithms make decisions and the responsible use of modern technologies. The course brings all these elements together in the context of the current and future technological developments.
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| Literature |
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| Prerequisites |
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| Keywords |
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| Assessment methods (INDICATIVE; course manual is definitive) | Attendance / Participation / Assignment / Presentation | |||||||||||||||||||||||||||||||||||||||
| Evaluation in previous academic year | For the complete evaluation of this course please click "here" | |||||||||||||||||||||||||||||||||||||||
| This course belongs to the following programmes / specialisations |
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| Transitional Regulations |
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