Part 1 Data modelling: a relational data model concepts of the relational data model, operations defined on a set of relations, normal operations defined on a set of instances, synthesis - data dictionary, example - production workshop, integrity rules integrity rule, introduction to dependencies, functional and dimensional dependencies, join and decomposition dependencies, inclusion dependencies, relation cycles, other integrity rules, table of ir ranges. Part 2 Transformations: introduction and access paths graph choice of an internal data model, accuracy of an internal structure, access paths graph, relation graph, join of embedded relations, plan of the second part, transformation of a decomposition into a relation graph, relation graph of a decomposition, use of hinges, from a relation graph to an internal data structure choice of an access paths graphs, computing methods of embedding access paths. Part 3 Decomposition of a relation: choosing a relation decomposition decomposing a relation, projection and extension of an integrity rule, qualities of a decomposition, choice crieria for a functional decomposition introduction, problems encountered, structural elements, a solution - mechanisms for completeness of keys and entities, basic decomposition introduction, keys to a relation, minimum fd equivalence classes, block of attributes and groups of fds, invariance of non-redundant bases, homogenous coverings and the basic covering, homogenous decompositions and the basic decomposition of a relation, completely homogenous decomposition, relation graph of a completely homogenous decomposition, FD appendix, Appendix: damping functional cycles damping a functional cycle, validation of a damping. Part 4 Perspectives: perspectives design process for databases, extended relational data model, control mechanisms, Appendix: use of this mechanism.