OVERVIEW

The course introduces to the main themes of deductive-based Artificial Intelligence with a focus on practical applications on Knowledge Representation and Planning.

AIMS AND CONTENT

LEARNING OUTCOMES

The teaching unit consists of two modules, which together provide a comprehensive introduction to the principles and applications of AI techniques in autonomous robotic systems. Overall, the course aims to equip students with the theoretical understanding and practical tools needed to design and implement intelligent, autonomous robotic systems capable of operating in complex environments.

PREREQUISITES

Some preliminary knowledge of combinatorics, algebra and theoretical computer science are useful for a better understanding of the course material.

TEACHING METHODS

Students who hold valid certificates relating to Specific Learning Difficulties (SLD), disabilities or other educational needs are invited to contact the lecturer and the school’s disability liaison officer at the start of the course to agree on any teaching arrangements which, whilst respecting the course objectives, take into account individual learning styles.

The contact details for the university’s disability liaison officer are available at the following link: https://unige.it/commissioni/comitatoperlinclusionedeglistudenticondisabilita.

TEACHERS AND EXAM BOARD

Exam Board

FULVIO MASTROGIOVANNI (President)

FABIO ROLI

ARMANDO TACCHELLA (President Substitute)

LESSONS

LESSONS START

https://easyacademy.unige.it/portalestudenti/index.php?view=easycourse&_lang=it&include=corso

Class schedule

The timetable for this course is available here: Portale EasyAcademy

EXAMS

EXAM DESCRIPTION

The class consists of two modules, and the final exam mark is obtained from the marks of intermediate tests and projects from both modules. Please refer to each module for a detailed description of its respective intermediate tests and projects.

ASSESSMENT METHODS

The class is divided into two modules, with specific assessment methods for each module’s learning outcomes detailed within the corresponding module descriptions.

FURTHER INFORMATION

Students with valid certifications for Specific Learning Disorders (SLD) may request accommodations for exams at least 7 days prior to the exam date by filling out the “accommodation request form” (available via online services at https://modulionline.unige.it/richiesta-adattamenti# no-back), which will be automatically forwarded by the system to the instructor in charge of the course and to the faculty liaison for students with disabilities and SLDs in their School/Department.

The student will receive a copy of their request.