Artificial Intelligence (AI) is one of the most popular areas in computer science and engineering. AI deals with intelligent behavior, learning, and adaptation in machines, robots, and body-less computer programs. AI is everywhere: search engines use it to improve answers to queries, to recognize speech, to translate languages, email programs use it to filter spam, banks use it to predict exchange rates and stock markets, doctors use it to recognize tumors, robots use it to localize themselves and obstacles, autonomous cars use it to drive, video games use it to enhance the player's experience, adaptive telescopes use it to improve image quality, smartphones use it to recognize objects/faces/gestures/voices/music, etc etc.
People are discussing the possibility of superintelligence and AI risks. Big players such as Google, Amazon, Baidu, Microsoft etc are investing billions in AI, and the AI-related job market is growing extremely rapidly.
The first Artificial Intelligence Master in Switzerland
In this exciting context the first AI master in Switzerland is offered in Lugano, profiting from the competences of the Faculty of Informatics www.inf.usi.ch and the Swiss AI Lab, IDSIA, Dalle Molle Institute for Artificial Intelligence, www.idsia.ch, a common institute with SUPSI and one of the world's leading research institutes in this field. For example, in 2016, IDSIA got the Swiss Special ICT award for its bio-inspired research activities and one of the ten NVIDIA "Pioneers in AI research" awards.
Goals and Contents
Artificial Intelligence may not only be the most exciting field in computer science but of science in general. In fact, the best scientists of the future might even be AIs themselves. Hardware soon will have more raw computational power (CP) than human brains, since CP percent is still growing by a factor of 100-1000 per decade. And there is no reason to believe that general problem-solving software similar to that of humans will be lacking: there already exist mathematically optimal (though not yet practical) universal problem solvers developed at IDSIA. And existing highly practical (but not quite as universal) AI already learn from experience, outperforming humans in more and more fields. For example, biologically plausible deep/recurrent artificial neural networks are learning to solve pattern recognition tasks that seemed infeasible only 10 years ago.
Examples: images, handwriting, traffic signs, since 2011 even with superhuman performance - no end in sight. Even creativity has been formalized such that it can now be implemented on machines. The current developments in AI may soon lead to the end of history as we know it (more), and as an IS master student you can become part of this revolution.
Artificial Intelligence systems have knowledge, beliefs, preferences, and goals, and they have informational as well as motivational attitudes. They observe, learn, communicate, plan, anticipate and commit. They are able to reason about other systems and their own internal states, to simulate and optimize their performance. AI systems react to dynamic situations adapting their capabilities through learning mechanisms, with a high degree of autonomy.
Students graduating from this program will develop a taste for working on complex problems. In their future careers, they will be able to apply their knowledge in many interdisciplinary areas including robotics, business forecasting, intelligent search, video games, music and entertainment, chatbots, medical diagnostics, self-driving cars, to name a few.
The formal requirement for admission to the Master's degrees in Informatics is a Bachelor's degree granted by a recognized university in the field of Computer sciences or related disciplines.
Candidates with a Bachelor's degree of a recognized University of Applied Sciences may be admitted with 30-60 additional ECTS to be earned during or before the beginning of the programme, with Bachelor courses according to a study program defined by the scientific director. Admissions will be treated on a case by case basis.
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Last updated October 26, 2018