Teacher: Catia Prandi (DISI, University of Bologna) Teaching period: October 5th-8th 2020 Total hours: 10 Assessment method: by project
This course will provide PhD students with an overview on data visualization techniques, strategies and tools, to create meaningful visualizations and make sense of data.
Teacher: Mirco Musolesi (DISI, University of Bologna) Teaching period: September 1st, 7th, 8th 2020 Total hours: 16 Assessment method: by project
The course will provide an introduction to Reinforcement Learning in the context of the design of intelligent systems, intelligent agents and intelligent machines. In particular, we will discuss multi-armed bandits, Montecarlo methods, tabular methods, approximation function methods, and Deep Reinforcement Learning.
We will consider a series of applications including classic control theory problems, robotics, games, recommender systems and distributed systems design.
Teacher: Ugo Dal Lago (DISI, University of Bologna) Teaching period: July 20th-24th 2020 Total hours: 10
This course aims to be a short introduction to the theory of quantum computation for computer scientists.It divided into three parts. In the first part, the basic mathematical and computational notions underlying quantum computation will be introduced, including qubits, entanglement, and quantum circuits. In the second part, the surprising expressive power of quantum computation will be analysed by describing a couple of quantum algorithms, namely Grover's and Shor’s algorithms. In the third part, some concepts and problems related to quantum programming languages will be explained.
Teacher: Maria Pia Torricelli, Rosalia Miceli, Annalisa Neri, Davide Dessì (Biblioteca di Ingegneria e Architettura, University of Bologna) Teaching period: February 2020 Total hours: 18
Teacher: Annalisa Franco (DISI, University of Bologna) Teaching period: February 2020 Total hours: 10 Assessment method: by project
Biometric systems are automated methods of verifying or recognizing the identity of a living person based on some physiological characteristics, like a fingerprint or iris pattern, or some behavioral aspects, such as handwriting or keystroke patterns. The course provides the fundamentals of the biometric systems technology and presents their overall architecture. Then, the main components (acquisition device, feature extraction, and matching) are discussed in detail with particular focus on fingerprint, face and iris recognition systems. State-of-the-art approaches are presented and compared, and the most critical aspects in biometric recognition are pointed out. Hot topics related to specific applications and security issues are finally presented.
Teacher: Franco Callegati, Chiara Contoli (DISI - University of Bologna, CIRI ICT - University of Bologna) Teaching period: November - December 2019 Total hours: 10