- Docente: Ivan Heibi
- Credits: 6
- SSD: INF/01
- Language: Italian
- Teaching Mode: Traditional lectures
- Campus: Bologna
- Corso: First cycle degree programme (L) in Humanities (cod. 8850)
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from Jan 30, 2024 to Mar 07, 2024
Learning outcomes
At the end of the course students gain a basic knowledge of the history, techniques and methods of Artificial Intelligence; they are able to design solutions for simple use cases (typically in the area of the humanities) by defining conceptual models and/or reusing existing data and software components.
Course contents
The students will understand the evolution of Artificial Intelligence (AI), the main distinctions and research styles, and the current state of play.
Students will be provided with an overview of the evolution and history of AI. Students will obtain basic references and capabilities on some knowledge-oriented aspects of AI:
- Intelligent agent design
- Knowledge representation
- Propositional logic, first-order logic, description logics
- Natural language processing
- Machine learning
Readings/Bibliography
Handbook (to be used as generic references):
- Artificial Intelligence: A Modern Approach, 3rd ed. by Stuart Russell (UC Berkeley) and Peter Norvig (Google) - slides from the 2014 course: http://ai.berkeley.edu/course_schedule.html
Other recommended books
- "Speech and language processing” Jurafsky, Daniel, and James H. Martin https://web.stanford.edu/~jurafsky/slp3/
- "Introduction to Artificial Intelligence" M. Flasinski Springer (2016)
- Logic in Action. http://www.logicinaction.org/
- Machine Learning: An artificial intelligence approach. "R.S. Michalski, J.G. Carbonell, T.M. Mitchell" Springer (2013)
Links to further information
Office hours
See the website of Ivan Heibi