28027 - Information Systems T

Course Unit Page

  • Teacher Paolo Ciaccia

  • Credits 9

  • SSD ING-INF/05

  • Language Italian

  • Campus of Bologna

  • Degree Programme First cycle degree programme (L) in Computer Engineering (cod. 0926)

Academic Year 2015/2016

Learning outcomes

Knowledge of models and tools for organizing, managing and designing relational databases.

Course contents

  1. Database Management Systems (DBMSs)
    Information Systems and the role of DBMSs. Basic functionalities of DBMSs: 3-tier architecture, languages, access and concurrency control, fault tolerance.
  2. The Relational Data Model
    Basic concepts: domains, attributes, tuples and relations, 1NF relations, null values. Data constraints: on domains, tuples, keys, referential integrity.
  3. The Relational Algebra
    Unary operators: selection, projection, and renaming. Binary operators: natural join, union, and difference. Derived operators: intersection, theta-join, and division. Algebra with null values: 3-valued logic, outer join. Expressions and basic equivalence rules.
  4. The SQL (Structured Query Language) Language
    Data definition language (DDL) and definition of constraints. The "Select-From-Where" block. Ordering the result. Data manipulation language (DML). Aggregate queries. Nested queries. Definition of views and recursive queries. Granting and revoking authorities and privileges. Triggers. Transactions.
  5. Data Base Design
    Data-oriented design. Design steps. Conceptual and logical data models. Basic abstraction primitives.
  6. The Entity-Relationship (E-R) Model
    Basic elements: entities, relationships, attributes. Internal and external identifiers. Hierarchies.
  7. Conceptual Design
    Collecting and analyzing requirements. Design strategies. Typical design patterns.
  8. Logical Design
    Mapping entities and relationships onto relational tables. Restructuring an E-R schema: dropping hierarchies, managing multi-valued attributes, choosing the principal identifiers. Optimization criteria: Workloads (data volumes and navigation schemas), redundancy analysis, partitioning and merging entities and relationships. 
  9. Normalization of Relational Schemas
    Functional dependencies and data anomalies. Normal forms (3NF and BCNF). Schema decompositions. Lossless and dependency preservation decompositions. Functional dependencies and E-R schemas.


Copies of lectures' slides are enough to prepare the exam (available at http://www-db.disi.unibo.it/courses/SI-T/).

Any standard textbook on relational DBMS's is valuable to deepen your knowledge on the course topics, in particular:

Teaching methods

Lectures cover the basic issues related to all course contents. Guided class and lab practice will allow the student to work out the theoretical materials by applying them to problems of various complexity degree.

Assessment methods

The exam consists of a practical test. With the help of lab tools, the student will be required to solve exercises on database languages, conceptual design and logical design.

Teaching tools

Lectures will be based on the material available on the course Web site (http://www-db.disi.unibo.it/courses/SI-T/).

Links to further information


Office hours

See the website of Paolo Ciaccia