Data Management and Analysis

A.A. 2022-23

  • Instructor: Giuseppe Perelli
  • Google Classroom: Enroll to stay updated about the course.
  • Class attendance: Fill the form for each attended class.
  • OPIS Code: G1I40APH


  • Books:
    • [B1] J. D. Ullman: Principles of Database & Knowledge-Base Systems, Vol. 1: Classical Database Systems
    • [B2] Lemahieu, W., vanden Broucke, S., & Baesens, B. (2018). Principles of Database Management: The Practical Guide to Storing, Managing and Analyzing Big and Small Data. Cambridge University Press
  • Slides WARNING: the slides shared before classes refer to the course given last year by Prof. M. Mancini. A new version of them will be available after the corresponding class will be delivered.
  • Hand notes WARNING: the notes are not (yet) polished and might contain mistakes.
  • Exercises
  • Exam simulations



Classes will start on Tuesday 27th September at Edificio RM018 - Aula 2

  • Tuesdays: from 8:00 to 11:00 at Edificio RM018 Aula 2 (start at 8:15 and two breaks in between)
  • Fridays: from 11:00 to 13:00 at Edificio RM018 Aula 2 (breaks are skipped to end at 12:30)
Office hour

Office hour meetings must be agreed by appointment before hand. They will start on Wednesday 26th October at the following time.

  • Wednesdays: from 16:00 to 18:00 at Department of Computer Science, Edificio E, Viale Regina Elena, 295.

Whenever needed, I can meet students out of the office hours.

Course content (tentative)

  • Introduction to DBMS
  • The relational model
  • Relational algebra
    • unary operators: projection, selection. Binary operators: union, difference, intersection, Cartesian production, natural join, θ-join. Negation, universal and existence quantification.
  • Database design and normalization
    • Data redundancy, insertion, update, and deletion anomalies. Relational theory definitions: schema, tuple instance, functional dependency, legal instance, closure of F. Trivial dependencies, properties of functional dependencies. Armstrong’s axioms. Rules: decomposition, union, pseudotransitivity, with Theorem and demonstration. Closure of X and first lemma on the closure (with proofs). Theorem F+=FA with proof. Third normal form, formal definition and alternative definition. Algorithm for computing X+, correctness theorem and proof. Key definition, practical ways to find the keys of a schema, uniqueness check. Decomposition of a schema, definition. Projection of F on the decomposition of a schema, definition. Equivalence between two sets of functional dependencies, definition. Lemma on the closures of two sets of functional dependencies, with proof. Decomposition preserving F, definition. Algorithm for checking if F is preserved. Algorithm for computing X+G. Decomposition with lossless join, definition. Algorithm for checking if a decomposition has a lossless join, with proof. Minimal cover, definition, and steps to compute it. Decomposition algorithm, with extra step for lossless join, and proof.
  • Physical organization of a database
    • Heap, sequential, random (hash). Index sequential access method (ISAM) organization. Tree organizations: b-trees

Examination rules (Please read carefully before asking already answered questions)

  • The course is the first unit of a 2 units 12 credits course “Data Management and Analysis”, the second unit will be taught in semester 2 by Prof. Giuseppe Pirrò.
  • To pass the 12 credits course, you have to pass 2 separate examinations, one for unit 1 and one for unit 2; only after passing both examinations you will get the 12 credits; there can be no exception to this, so you cannot take unit 1 only, or unit 2 only and receive 6 credits, that is not possible (and that applies also to Erasmus students).
  • To pass the whole examination, you have to pass a written part and an oral part (the written part gives you access to the oral one).
  • A passed written examination can be carried forward in the same session, so for example, if you pass the written part in January you can carry it forward and access the oral part in February.
  • If you pass the written part and then fail the oral part, in principle, you can still carry forward the written part to the next exam date in the same session (if there is one).
  • If I realize that both of your written and oral parts are really poor, I could ask you to re-sit the written part again in the same session, even if you already passed it.
  • Between different sessions, you cannot carry forward any passed written part (e.g., you cannot carry forward the written part passed in February to take the oral part in June)
  • Students are no longer allowed to sit the exam from remote.
  • Erasmus students: unfortunately, Data Management and Analysis is a 12 credits course split into 2 units across 2 semesters, and we cannot record the first (or second) half of the course only.