Data Management and Analysis
CdS Applied Computer Science and Artificial Intelligence
 Instructor: Giuseppe Perelli
 Google Classroom: Enroll to stay updated about the course.
Resources
 Books:
 [B1] J. D. Ullman: Principles of Database & KnowledgeBase 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
 [B3] A. Albano: Databases Essentials Free book
 Slides
 Hand notes WARNING: the notes might contain mistakes. You can report them by sending me an email.
 Exercises
 Exam simulations
 Past exams sheets
WARNING
Due to some work in progress, the first week’s lectures will take place in a different location from the rest of the course.

The lecture of Tuesday 24 September on 14:00 will take place at Aula A of Pietro Benedetti Building (RM027 Neuropsichiatria infantile, Via dei Sabelli 108).

The lecture of Thursday 26 September on 16:00 will take place at Aula A of Pietro Benedetti Building (RM027 Neuropsichiatria infantile, Via dei Sabelli 108).

The lecture of Tuesday 1 October on 14:00 will take place Online at the following Zoom link: https://uniroma1.zoom.us/j/87151615100.

The lecture of Thursday 3 October on 16:00 will take place Online at the following Zoom link: https://uniroma1.zoom.us/j/87151615100.

The lecture of Tuesday 8 October on 14:00 will take place at Aula 101 of Building D  Regina Elena (RM112E01P01L005 Viale Regina Elena, 295).

The lecture of Thursday 10 October on 16:00 will take place at Aula 101 of Building D  Regina Elena (RM112E01P01L005 Viale Regina Elena, 295).
You are all invited to monitor the updates on the webpage of the course, at page Frequentare, under the tab “Orario delle lezioni”: https://corsidilaurea.uniroma1.it/it/corso/2024/30786/programmazione
Timetable
Classes will start on Tuesday 24th September according to the following calendar:
 Mondays: from 14:00 to 17:00 at Aula De Lollis 3 (Warning! Read the news about rooms above!)
 Thursdays: from 16:00 to 18:00 at Aula De Lollis 3 (Warning! Read the news about rooms above!)
Office hour
Office hour meetings must be agreed by appointment before hand. They will start on Wednesday 9th 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
 Introduction to DBMS
 The relational model
 Relational algebra
 unary operators: projection, selection. Binary operators: union, difference, intersection, Cartesian production, natural join, θjoin. 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: btrees
Examination rules (Please read carefully)
 The exam for Unit 1 consists to a written part and an oral part.
 The written part (about 2 and half hours) consists in a section of multiple choice questions about theori and a section with three exercises about: Relational Algebra, Relational Theory, Physical Organization.
 For the multiple choice questions, each correct answer adds a point, each wrong answer subtracts half a point. You need to score at least 6 points out of 10 to pass the section.
 The exercises of the second section are worth 10 points each. If all exercises are evaluated with a sufficient score (6/10), the section is passed.

If the written test is passed, you are assigned a mark according to the following conversion table
Written Score Final Mark 18 18 19 19 20 19 21 20 22 20 23 21 24 21 25 22 26 22 27 23 28 23 29 24 30 24  The final mark can be adjusted by taking the oral part, which is then optional. The oral exam can add or subtract up to 10 points from the written score.
 The oral part consists into questions about:
 Definitions and basics about Relational Theory
 Proofs of theorems in Relational Theory
 Physical Organization
 The oral examination usually takes place one week after the written test. However, this highly depends on the time needed to mark all the written exams, which is subject to variations, due to my ongoing duties and the number of students taking the exam themselves. <!— 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.
 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.–>
Exam transcription (Please read carefully)
 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. Walter Quattrociocchi.
 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 (for Erasmus students, please see below).
 Due to administrative reasons, the students passing Unit 1 who did not yet pass Unit 2, will be recorded as rinuncia on the verbale. At the same time, they will receive an email from the instructor, confirming they passed the exam, together with date and final mark.
 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. However, it is possible to record a single unit in your transcript of records. All you need to do is to mention this to me after you passed the exam. I will then communicate the result to the Erasmus office in Sapienza, which will take care of the official transcription.
Previous Editions
 A.A. 202324
 Google Classroom: Enroll to stay updated about the course.
 A.A. 202223
 Google Classroom: Enroll to stay updated about the course.