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Fairness in Artificial Intelligence, Certificate

  • Application Deadline
  • 14 days
    Duration
University rank #147 (QS) Berlin, Germany
The course "Fairness in Artificial Intelligence” addresses social problems at the interface of artificial intelligence, fair division, economy and computer science. The main goal of this course is to give to students the opportunity to work on state-of-the-art research projects that integrate fairness concepts in various fields of AI.
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Overview

The course "Fairness in Artificial Intelligence” addresses social problems at the interface of artificial intelligence, fair division, economy and computer science. The main goal of this course is to give to students the opportunity to work on state-of-the-art research projects that integrate fairness concepts in various fields of AI.

Detailed Programme Facts

  • Programme intensity Full-time
    • Full-time duration 14 days
  • Credits
    3 ECTS
  • Languages
    • English
  • Delivery mode
    On Campus

Programme Structure

The aim of this course is to train students on basic research skills that are often not in the prime focus of a regular university course. On successful completion of the course, students will be able to

  • develop mathematical models (with real-world features),
  • describe and design (efficient) algorithms,
  • write a scientific report/paper,
  • analyze properties of algorithms (e.g. complexity, characterizations, etc.),
  • develop their critical thinking,
  • learn to share the workload and responsibility, and
  • work in (research) teams.

Lecturers

Martin  Aleksandrov obtained a Bachelor degree in Computer Science from Sofia University, Bulgaria; a Master degree in Computer Science from Technical University of Dresden, Germany and, additionally, qualifications as Bachelor in Physics and Master in Probability Theory and Statistics from Sofia University, Bulgaria.

Martin received his PhD in Computer Science from UNSW Sydney, Australia.

English Language Requirements

This programme may require students to demonstrate proficiency in English.

General Requirements

Obligatory: At least one year of university experience.

Obligatory: English level B2 or equivalent.

Technological Requirements

  • Obligatory knowledge: Algorithms, Mathematics.
  • Obligatory skills: Programming in C, C++, Java, Perl or Python.
  • Preferable knowledge: Economics, Computational Complexity.
  • Preferable skills: LaTeX (a typesetting system).

Tuition Fee

  • International

    950 EUR/full
    Tuition Fee
    Based on the original amount of 950 EUR for the full programme and a duration of 14 days.
  • National

    950 EUR/full
    Tuition Fee
    Based on the original amount of 950 EUR for the full programme and a duration of 14 days.
We've labeled the tuition fee that applies to you because we think you are from and prefer over other currencies.

Fee covers tuition and learning materials, excursions, field trips, cultural program, public transportation ticket, and library access.

Living costs for Berlin

  • 836 - 1340 EUR/month
    Living Costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

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