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Principles for Software Composition

PSC 2022/23 (375AA, 9 CFU)

Lecturer: Roberto Bruni
web - email - Microsoft Teams channel

Office hours: Tuesday 14:00-16:00 or by appointment


The objective of the course is to present:

  • different models of computation,
  • their programming paradigms,
  • their mathematical descriptions, both concrete and abstract,
  • some intellectual tools/techniques for reasoning on models.

The course will cover the basic techniques for assigning meaning to programs with higher-order, concurrent and probabilistic features (e.g., domain theory, logical systems, well-founded induction, structural recursion, labelled transition systems, Markov chains, probabilistic reactive systems, stochastic process algebras) and for proving their fundamental properties, such as termination, normalisation, determinacy, behavioural equivalence and logical equivalence. Temporal and modal logics will also be studied for the specification and analysis of programs. In particular, some emphasis will be posed on modularity and compositionality, in the sense of guaranteeing some property of the whole by proving simpler properties of its parts.


There are no prerequisites, but the students are expected to have some familiarity with discrete mathematics, first-order logic, context-free grammars, and code fragments in imperative and functional style.


Main text:

Other readings:

External resources:


The evaluation will be solely based on oral exams, which can involve the assignment of written exercises.

Registration to exams (mandatory): Exams registration system

During the oral exam the student must demonstrate

  • knowledge: his/her knowledge of the course material, and
  • problem solving: the ability to solve some simple exercises, and
  • understanding: the ability to discuss the reading matter thoughtfully and with propriety of expression.

Oral Exams: schedule

See the channel Exams in the Microsoft Teams platform


  • as the course starts:
    Each student must subscribe the Microsoft Teams channel of the course and then fill the form Students information to provide the following contact data and info about her/his background:
    1. first name
    2. last name
    3. enrolment number (numero di matricola), optional
    4. email
    5. bachelor degree (course of study and university)
    6. MSc course (if Computer Science, specify which curriculum)
  • then, fill the (optional) form about your familiarity with some of the subjects of the course: Familiar subjects

Lectures (1st part)

N Date Time Room Lecture notes Links
1 Mon 20/02 11:00-13:00 L1 01 - Introduction to the course

02 - Preliminaries:
from syntax to semantics, the role of formal semantics, SOS approach, small-step operational semantics, big-step operational semantics
Lecture 01
Lecture 02
2 Tue 21/02 16:00-18:00 L1 02 - Preliminaries (ctd):
denotational semantics, compositionality principle, normalisation, determinacy, consistency, equivalence, congruence

03 - Unification:
inference process, signatures, substitutions, unification problem, most general unifiers, unification algorithm

04 - Logical systems:
logical systems, derivations, theorems
Lecture 02
Lecture 03
Lecture 04
3 Thu 23/02 14:00-16:00 L1 04 - Logical systems (ctd.):
logic programs, goal-oriented derivations

05 - Induction:
precedence relation, infinite descending chains, well-founded relations, well-founded induction, mathematical induction, proof of induction principle
Lecture 04
Lecture 05a
4 Mon 27/02 11:00-13:00 L1 Exercises:
unification, goal-oriented derivations

05 - Induction (ctd.):
structural induction, termination of arithmetic expressions, determinacy of arithmetic expressions, many-sorted signatures, arithmetic and boolean expressions, structural induction over many-sorted signatures, termination of boolean expressions, memories, update operation, operational semantics of commands
Exercises 01
Lecture 05a
Lecture 05b
5 Tue 28/02 16:00-18:00 L1 05 - Induction (ctd.):
divergence, rule for divergence, limits of structural induction, induction on derivations, rule induction, determinacy of commands
Lecture 05b
Lecture 05c
6 Thu 02/03 14:00-16:00 L1 06 - Equivalence:
operational equivalence, concrete equivalences, parametric equivalences, equivalence and divergence

07 - Induction and recursion:
well-founded recursion, lexicographic precedence relation, Ackermann function, denotational semantics of arithmetic expressions, fixpoint equations
Lecture 06
Lecture 07
7 Mon 06/03 11:00-13:00 L1 Exercises:
induction, termination, determinacy, divergence

07 - Induction and recursion:
consistency of operational and denotational semantics for arithmetic expressions

08 - Partial orders and fixpoints:
partial orders, Hasse diagrams, chains, least element, minimal element, bottom element, upper bounds, least upper bound, limits, complete partial orders, powerset completeness, prefix independence
Exercises 02
Lecture 07
Lecture 08a
8 Tue 07/03 16:00-18:00 L1 08 - Partial orders and fixpoints (ctd.):
CPO of partial functions, monotonicity, continuity, Kleene's fixpoint theorem
Lecture 08b
9 Thu 09/03 14:00-16:00 L1 08 - Partial orders and fixpoints (ctd.):
McCarthy's 91 function, recursive definitions of partial functions as logical systems, immediate consequences operator, set of theorems as fixpoint

09 - Denotational semantics:
lambda-notation, free variables, capture-avoiding substitutions, alpha-conversion, beta rule, conditionals, denotational semantics of commands, fixpoint computation
Lecture 08c
Lecture 09
10 Mon 13/03 11:00-13:00 L1 10 - Consistency:
denotational equivalence, congruence, compositionality principle, consistency of commands, correctness, completeness

posets, semantics, well-founded recursion, posets, semantics
Lecture 10
Exercises 03
11 Tue 14/03 16:00-18:00 L1 11 - Haskell:
an overview

Haskell ghci:
basics, tuples, lists, list comprehension, guards, pattern matching, lambda, partial application, zip, exercises
Lecture 11
ghci session 01
12 Thu 16/03 14:00-16:00 L1 Haskell ghci (ctd):
recursive definitions, tail recursion, let-in, where, map, filter, fixpoint operator, folds, exercises
ghci session 02
13 Mon 20/03 11:00-13:00 L1 Haskell ghci (ctd.):
folds, application, function composition, data types, type classes, recursive data structures, derived instances, exercises
ghci session 03
14 Tue 21/03 16:00-18:00 L1 12 - HOFL:
syntax, pre-terms, types, types judgements, type system, type checking, type inference, principal type
Lecture 12a
15 Thu 23/03 14:00-16:00 L1 Exercises:

12 - HOFL (ctd.):
canonical forms, operational semantics, lazy vs eager evaluation
Exercises 04
Lecture 12b
16 Mon 27/03 11:00-13:00 L1
17 Tue 28/03 16:00-18:00 L1
18 Thu 30/03 14:00-16:00 L1
19 Mon 03/04 11:00-13:00 L1 13 - Domain theory:
Integers with bottom, cartesian product, projections, switching lemma, functional domains
Lecture 13a
Lecture 13b
20 Tue 04/04 16:00-18:00 L1 13 - Domain theory (ctd.):
functional domains, lifting, let notation, continuity theorems

14 - Denotational semantics of HOFL:
definition and examples, type consistency
Lecture 13c
Lecture 14
21 Thu 06/04 14:00-16:00 L1 13 - Domain theory (ctd.):
apply, fix, curry, uncurry

14 - Denotational semantics of HOFL (ctd.):
substitution lemma, compositionality and other properties

15 - Consistency of HOFL:
Counterexample to completeness, correctness of the operational semantics, operational convergence, denotational convergence, operational convergence implies denotational convergence (and vice versa), operational and denotational equivalence, correspondence for type int, unlifted semantics
Lecture 13c
Lecture 14
Lecture 15

Lectures (2nd part)

N Date Time Room Lecture notes Links
22 Thu 13/04 14:00-16:00 L1 15 - Consistency of HOFL (ctd.):
lifted vs unlifted semantics

16 - Erlang:
an overview

Erlang erl:
numbers, atoms, tuples, lists, terms, variables, term comparison, pattern matching, list comprehension, modules, functions, guards, higher order, recursion, pids, spawn, self, send, receive, examples
Lecture 15
Lecture 16
erl session
23 Mon 17/04 11:00-13:00 L1 Exercises:
HOFL, domains

17 - CCS:
Syntax, operational semantics
Exercises 05
Lecture 17a
24 Tue 18/04 16:00-18:00 L1 17 - CCS (ctd.):
value passing, finitely branching processes, guarded processes

18 - Bisimulation:
abstract semantics, graph isomorphism, trace equivalence
Lecture 17a
Lecture 17b
Lecture 18a
25 Thu 20/04 14:00-16:00 L1 18 - Bisimulation (ctd.):
bisimulation game, strong bisimulation, strong bisimilarity, strong bisimilarity is an equivalence, strong bisimilarity is a bisimulation, strong bisimilarity is the coarsest strong bisimulation, strong bisimilarity is a congruence, some laws for strong bisimilarity
Lecture 18b
26 Mon 24/04 11:00-13:00 L1 18 - Bisimulation (ctd.):
strong bisimilarity as a fixpoint, Phi operator, Phi is monotone, Phi is continuous (on finitely branching processes), Knaster-Tarski's fixpoint theorem

19 - Hennessy-Milner logic:
modalities, HML syntax, formula satisfaction, converse of a formula, HML equivalence
Lecture 18c
Lecture 19
27 Thu 27/04 14:00-16:00 L1 20 - Weak Semantics:
weak transitions, weak bisimulation, weak bisimilarity, weak bisimilarity is not a congruence, weak observational congruence, Milner's tau-laws

21 - CCS at work:
modelling imperative programs with CCS, playing with CCS (using CAAL)
Lecture 20
Lecture 21
28 Tue 02/05 16:00-18:00 L1 21 - CCS at work:
modelling and verification of mutual exclusion algorithms with CCS and CAAL

CAAL session (copy the text and paste it in the Edit panel)
CAAL session
29 Thu 04/05 14:00-16:00 L1 Exercises:
Erlang, CCS

22 - Temporal and modal logics:
linear temporal logic (LTL), linear structures models, shifting, LTL satisfaction, equivalence of formulas, automata-like models
Exercises 06
Lecture 22a
30 Mon 08/05 11:00-13:00 L1 22 - Temporal and modal logics:
computational tree logic (CTL* and CTL), infinite trees, infinite paths, branching structure, CTL* satisfaction, equivalence of formulas, CTL formulas, expressiveness comparison, mu-calculus, positive normal form, least and greatest fixpoints, invariant properties, possibly properties, mu-calculus with labels
Lecture 22b
31 Tue 09/05 16:00-18:00 L1 23 - GoogleGo:
an overview

GoogleGo playground:
Go principles, variable declaration, type conversion, multiple assignments, type inference, imports, packages and public names, named return values, naked return, multiple results, conditionals and loops, pointers, struct, receiver arguments and methods, interfaces, goroutines, bidirectional channels, channel types, send, receive, asynchronous communication with buffering, close, select, communicating communication means, range, handling multiple senders, concurrent prime sieve
Lecture 23
Google Go
go session
32 Thu 11/05 14:00-16:00 L1 24 - Pi-calculus:
name mobility, free names, bound names, syntax and operational semantics, scope extrusion, early and late bisimilarities, weak semantics
Lecture 24
33 Tue 15/05 11:00-13:00 L1 25 - Measure theory and Markov chains:
probability space, random variables, stochastic processes, homogeneous Markov chains, DTMC, DTMC as matrices, DTMC as PTS, next state probability, finite path probability, ergodic DTMC, steady state distribution
Lecture 25a
34 Thu 16/05 16:00-18:00 L1 Exercises:
logics, GoogleGo, pi-calculus

25 - Measure theory and Markov chains:
negative exponential distribution, CTMC, embedded DTMC, infinitesimal generator matrix, CTMC stationary distribution

26 - Probabilistic bisimilarities:
bisimilarity revisited, reachability predicate, CTMC bisimilarity.
Exercises 07
Lecture 25b
Lecture 26
35 Mon 18/05 14:00-16:00 L1 26 - Probabilistic bisimilarities (ctd.):
DTMC bisimilarity, Markov chains with actions, probabilistic reactive systems, bisimilarity for reactive systems, Larsen-Skou logic

27 - PEPA:
motivation, basic ideas, PEPA workflow, PEPA syntax, cooperation combinator, bounded capacity, apparent rate, PEPA operational semantics, performance analysis, reward structures
Lecture 26
Lecture 27
36 ?? ?? ?? ?? Exercises:
Markov chains, probabilistic systems, PEPA
Exercises 08

Past courses

magistraleinformatica/psc/start.txt · Ultima modifica: 20/03/2023 alle 11:42 (2 giorni fa) da Roberto Bruni