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Human-Centred Artificial Intelligence

University of Regensburg· Regensburg

Computer Science — ریاضیات، علوم طبیعی، مطالعات زبان و فرهنگ

زبان‌های تدریس
English
شروع
Winter semester
مدت
۴ نیم‌سال
شهریه
بدون شهریه
هنوز بررسی نشده

برای بررسی، دکمهٔ «دریافت اطلاعات از سایت دانشگاه» را بزن.

شرایط زبان، مدارک، مهلت‌ها و هزینه‌ها مستقیم از وب‌سایت دانشگاه استخراج و با رنگ متمایز به تب‌ها اضافه می‌شود.

Degree
Master of Science in Human-Centred Artificial Intelligence
Course location
Regensburg
Teaching language
• English
Languages
The study programme can be completed entirely in English.
Full-time / part-time
• full-time • part-time (study alongside work)
Programme duration
4 semesters
Beginning
Winter semester
Additional information on beginning, duration and mode of study
The lecture period generally runs from mid-October to the beginning of February in the winter semester and from mid-April to the end of July in the summer semester. The exact lecture times at the University of Regensburg can be found here: https://www.uni-regensburg.de/studium/semesterkalender/index.html (https://www.uni-regensburg.de/studium/semesterkalender/index.html). The degree programme is designed as a face-to-face course, and certain courses are also offered online.
Application deadline
1 June Non-EU applicants are strongly advised to apply by 1 May at the latest in order to be able to apply for a visa as soon as possible if they are admitted.
Tuition fees per semester in EUR
None
Combined Master's degree / PhD programme
No
Joint degree / double degree programme
No
Description/content
Developing AI systems while keeping humans in mind – that is the core topic of human-centred artificial intelligence. Such applications range from search engines and the automatic recognition of hate comments using natural language processing to personalised dialogue systems. Your studies in the MSc Human-Centred Artificial Intelligence will prepare you to develop, implement, and test solutions for human-centred AI. We provide you with the necessary advanced technical know-how in the field of computer science and data science as well as the necessary knowledge in the field of human-computer interaction and psychology. The degree programme is divided into 14 compulsory modules (including the Master's thesis) with a total of 120 CP. Within many of the compulsory modules, you have thematic options and can organise your studies according to your interests. Not to be missed: the Core In addition to an introductory module that gives you an overview of the entire field of human-centred AI, you will complete four core modules during your studies. In AI Ethics, you will discuss ethical dilemmas in AI systems. In Technologies for Human-Centred AI 1 and 2, you will develop solutions for (AI) systems by applying human-centred design principles, e.g. in the field of natural language processing, recommender systems, and information retrieval. And in the Free Elective module, you can deepen your knowledge of topics or gain insights into new topics and trends – also in the fields of Computer Science and Data Science. What you want: the Specialisation We provide you with a framework of topics and you can choose which topics interest you the most. This is the core idea of our specialisation area, in which you complete seven modules and within the modules you can choose between different courses and projects from Information Science, Computer Science, Data Science, and Psychology, among others. The seven modules include Explainable AI, Generative AI, Information Behaviour, Deep Reinforcement Learning, Current Topics in Human-Centred AI, Empirical Human-Centred AI, and Computational Human-Centred AI. What you can: the (Final) Project Towards the end of your studies, you can apply all your knowledge and skills in a project seminar by planning and implementing a project in the field of human-centred AI independently and as part of a team. If you wish, this project can culminate in your Master's thesis.
مهلت درخواست
1 June
مشاهدهٔ صفحهٔ اصلی دوره وب‌سایت دوره
تماس

University of Regensburg

Faculty of Informatics and Data Science

Ulrike Allouche

PO box: 93040 Bajuwarenstraße 4 93053 Regensburg

studienberatung.iw@ur.de