Computer Science - Artificial Intelligence Charles University

Overview

An emphasis is put on a deep understanding of formal theoretical foundations and their practical applicability. Students of the Computer Science - Artificial Intelligence programme from Charles University will gain knowledge about the design of efficient data structures; about the formal modelling of problems using techniques of mathematical logic and probability theory; about algorithms (classical and nature-inspired) for problem solving, the control of autonomous agents, machine learning, and data mining; and about complexity analysis of computational methods. Students will learn how to apply these techniques and how to extend them both to abstract (data) and physical (robotic) worlds in single-agent and multi-agent environments.

Information about graduate employment

• Graduates can apply and further extend techniques for the design of intelligent systems, including knowledge modelling and formal modelling of complex systems by means of mathematical logic and probability theory, automated problem solving, planning and scheduling, control of autonomous agents (both virtual and physical), machine learning, and data mining.