
Artificial Intelligence II
NAIL070
The course focuses on three areas of modern artificial intelligence. It describes how to handle uncertainty using probability theory (Bayesian networks, etc.), how to model rationality and make rational decisions (Markov Decision Processes, etc.), and how to improve AI systems via machine learning (supervised learning of logical and probabilistic models, reinforcement learning).
The course is intended for master (graduate) level students.
Details
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MFF CUNI
FACULTY
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Summer
TERM
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Umělá inteligence II
OFFICIAL CZECH NAME
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https://is.cuni.cz/studium/predmety/index.php?do=predmet&kod=NAIL070
OFFICIAL LINK IN CZECH
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Artificial Intelligence II
OFFICIAL ENGLISH NAME
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https://is.cuni.cz/studium/eng/predmety/index.php?do=predmet&kod=NAIL070
OFFICIAL LINK IN ENGLISH
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http://ktiml.mff.cuni.cz/~bartak/ui2/
Course website
STILL SOME QUESTIONS?
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FEE CTU
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Artificial Intelligence in Robotics
B4M36UIR/BE4M36UIR Winter
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Autonomous Robotics
B3M33ARO1/BE3M33ARO1 Summer
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Computer Vision Methods
B4M33MPV/BE4M33MPV Summer
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Functional Programming
B4B36FUP Summer
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Introduction to Artificial Intelligence
B4B36ZUI Summer
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Julia for optimization and learning
B0B36JUL Winter
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Pattern Recognition and Machine Learning
B4B33RPZ/BE5B33RPZ Winter
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FIT CTU
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FSV CUNI
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MFF CUNI
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Artificial Intelligence I
NAIL069 Winter
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Artificial Intelligence II
NAIL070 Summer
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Deep Learning
NPFL138 Summer
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Deep Reinforcement Learning
NPFL139 Summer
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Dialogue Systems
NPFL123 Summer
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Introduction to Artificial Intelligence
NAIL120 Summer
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Introduction to Machine Learning with Python
NPFL129 Winter
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Large Language Models
NPFL140 Summer
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Modern Algorithmic Game Theory
NOPT021 Winter
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Natural Language Processing
NPFL124 Summer
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