Studying at the University of Verona

Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.

This information is intended exclusively for students already enrolled in this course.
If you are a new student interested in enrolling, you can find information about the course of study on the course page:

Laurea magistrale in Ingegneria e scienze informatiche - Enrollment from 2025/2026

The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.

CURRICULUM TIPO:

1° Year 

ModulesCreditsTAFSSD
12
B
ING-INF/05
12
B
ING-INF/05
6
B
ING-INF/05

2° Year   activated in the A.Y. 2016/2017

ModulesCreditsTAFSSD
6
B
INF/01
6
B
ING-INF/05
Altre attivita' formative (taf f)
4
F
-
ModulesCreditsTAFSSD
12
B
ING-INF/05
12
B
ING-INF/05
6
B
ING-INF/05
activated in the A.Y. 2016/2017
ModulesCreditsTAFSSD
6
B
INF/01
6
B
ING-INF/05
Altre attivita' formative (taf f)
4
F
-
Modules Credits TAF SSD
Between the years: 1°- 2°

Legend | Type of training activity (TTA)

TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.




S Placements in companies, public or private institutions and professional associations

Teaching code

4S02796

Credits

6

Language

Italian

Scientific Disciplinary Sector (SSD)

INF/01 - INFORMATICS

Period

I sem. dal Oct 3, 2016 al Jan 31, 2017.

Learning outcomes

The class presents problems, methods and systems in automated reasoning. The treatment combines theoretical foundations with algorithmic and practical issues, emphasizing mechanization throughout. The student learns how to design, apply, and evaluate methods and systems for automated reasoning, with attention to applications in fields
such as analysis, verification, synthesis of systems, artificial intelligence, mathematics, robotics

Program

Foundations of automated reasoning: theorem proving and model building. Inference systems. Instance-based inference systems (e.g., hyper-linking). Ordering-based inference systems (e.g., resolution and paramodulation/superposition). Subgoal-reduction based inference systems (e.g., model elimination). Search plans. Algorithmic reasoning in specific fields, such as: decision procedures for satisfiability (SAT) and satisfiability modulo theories (SMT); reasoning about constraints. Design and use of general-purpose or special-purpose reasoners.

Reference texts
Author Title Publishing house Year ISBN Notes
Ricardo Caferra, Alexander Leitsch, Nicolas Peltier Automated Model Building (Edizione 1) Kluwer Academic Publishers 2004 1-4020-265
Rolf Socher-Ambrosius, Patricia Johann Deduction Systems (Edizione 1) Springer Verlag 1997 0387948473
Raymond M. Smullyan First-order logic Dover Publications 1995 0486683702
Allan Ramsay Formal Methods in Artificial Intelligence (Edizione 1) Cambridge University Press 1989 0521424216
John Harrison Handbook of Practical Logic and Automated Reasoning (Edizione 1) Cambridge University Press 2009 9780521899574
Chin-Liang Chang, Richard Char-Tung Lee Symbolic Logic and Mechanical Theorem Proving (Edizione 1) Academic Press 1973 0121703509
Aaron R. Bradley, Zohar Manna The Calculus of Computation - Decision Procedures with Applications to Verification (Edizione 1) Springer 2007 9783540741
Alexander Leitsch The Resolution Calculus (Edizione 1) Springer 1997 3540618821
Martin Davis The Universal Computer. The Road from Leibniz to Turing. Turing Centenary Edition. Taylor and Francis Group 2012 978-1-4665-0519-3

Examination Methods

Exams (First take): The grade is given by 30% C1 + 30% C2 + 40% P, where C1 is the midterm exam, C2 is the final exam, and P is a project.
Exams (Later takes): The grade is given by 100% E, where E is a written exam, as hard as midterm, final, and project combined.
There is no difference between students who attend and students who do not attend.

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE