Master in artificial intelligence
Master
A Mendrisio (Svizzera)
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Descrizione
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Tipologia
Master
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Luogo
Mendrisio (Svizzera)
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.
In this exciting context the first AI master in Switzerland is offered in Lugano, profiting from the competences of the Faculty of Informatics and the Swiss AI Lab, IDSIA, Dalle Molle Institute for Artificial Intelligence, 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.
Awarded degree
After the successful completion of the program, students will be awarded a Master of Science in Informatics, Major in Artificial Intelligence.
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Materie
- E-learning
Programma
First Semester
ECTSCore Courses
Machine Learning
Deep Learning Lab
Algorithms & Complexity
Numerical Algorithms
Elective courses
12Second Semester
ECTSCore Courses
Data Analytics
Stochastic Methods
Robotics
Electives
12Third Semester
ECTSCore Courses
Artificial Intelligence
Distributed Algorithms
Master Thesis
Electives
Fourth semester
ECTSCore Courses
Computer Vision & Pattern Recognition
Geometric Deep Learning
Master Thesis
Electives
Electives Fall Semester
Advanced Topics in Machine Learning
Blockchains - Protocols and Techniques for Distributed Trust
High-Performance Computing
Introduction to Ordinary Differential Equations
Introduction to Partial Differential Equations
Mobile Computing
Programming Styles
User Experience Design
Electives Spring Semester
Advanced Computer Architectures
Advanced Networking
Business Intelligence and Applications
Geometric Algorithms
Multiscale Methods
Philosophy and Artificial Intelligence
Quantum Computing
Software Atelier: Simulation, Data Science & Supercomputing
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Master in artificial intelligence