Databases
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Teaching
Details
Faculty Faculty of Science and Medicine Domain Computer Science Code UE-SIN.03024 Languages English Type of lesson Lecture
Level Bachelor Semester AS-2024 Title
French Bases de données German Datenbanken English Databases Schedules and rooms
Summary schedule Wednesday 09:15 - 13:00, Hebdomadaire (Autumn semester)
Struct. of the schedule 2+2h par semaine durant 14 semaines Contact's hours 56 Teaching
Responsibles - Fill Hans-Georg
Teachers - Curty Simon
- Fill Hans-Georg
Description Databases
Information Systems and Database Systems, Motivation for Using Databases, Level Architecture
Data Modeling
Entity-Relationship Model, Entities, Relationships, Attributes, Dependencies, Generalization, Recursive Relations, Tool-based Modeling Using Bee-Up
Relational Model
Structure and Formal Description, Candidate Keys and Keys, Transformation of the Entity-Relationship Model into the Relational Model
Relational Algebra
Projection, Selection, Set Operations, Cartesian Product, Inner and Outer Joins, Integrity Constraints
Structured Query Language (SQL)
Requirements for Query Languages, Classification of Query Languages, Data Definition, Data Types, Implementation of Integrity Constraints, Min-Max Notation for ER Models for Deriving Integrity Constraints, Data Manipulation, Data Querying, Grouping and Set Operations, View Concept and View-Update Problems
Relational Design Theory
Redundancy and Anomalies, Functional Dependencies, Transitive Closure, Armstrong Axioms, Canonical Cover, Decomposition of Relations, Lossless and Dependency Preserving Decompositions, Derivation of Candidate Keys, Normal Forms
Transactions
Transactions and Transaction Management in Multi-User Environments, Serializability, Precedence Graphs, Preventive and Verifying Synchronization Approaches, Lock Protocols
Security
Permisssion Control and Data Control Language, Data Security and Data Protection
Access to Databases from Programming Languages
Outlook
NoSQL Databases, Blockchains
All course material will be made available via Moodle.
Training objectives You know when to use database systems and what are their benefits.
You are capable of eliciting requirements for database systems using entity relationship models and constraints in the form of the min,max notation and can transform the models into the relational model.
You dispose of extended knowledge about the relational model including relational design theory, the decomposition of relations and the use of normal forms for optimizations.
You are capable of using the language Structured Query Language (SQL) for data definition and data manipulation including constraints.
You are capable of using methods and techniques for multi-user environments including transaction management.
Condition of access Registration to the cours AND exams is mandatory and does not automatically happen if you are registered to a class. Please observe the deadlines of the faculty of science and medicine.
Comments Lectures and Exercises will be given in English. The course will comprise lectures and exercise units.
Softskills Yes Off field Yes BeNeFri Yes Mobility Yes UniPop No Documents
Bibliography Garcia-Molina, H., Ullman, J.D., Widom, J.: Database Systems - The Complete Book, Pearson, 2nd edition, 2013
Kemper, A., Eickler, A.: Datenbanksysteme: Eine Einführung (German), De Gruyter,10th ediition, 2015
Unland, R., Pernul, G.: Datenbanken im Einsatz: Analyse, Modellbildung und Umsetzung (German), DeGruyter, 2014
Elmasri, R., Navathe, S.: Conception et architectures des bases de données, 4th edition, Pearson, 2004
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Dates and rooms
Date Hour Type of lesson Place 18.09.2024 09:15 - 13:00 Cours PER 21, Room C140 25.09.2024 09:15 - 13:00 Cours PER 21, Room C140 02.10.2024 09:15 - 13:00 Cours PER 21, Room C140 09.10.2024 09:15 - 13:00 Cours PER 21, Room C140 16.10.2024 09:15 - 13:00 Cours PER 21, Room C140 23.10.2024 09:15 - 13:00 Cours PER 21, Room C140 30.10.2024 09:15 - 13:00 Cours PER 21, Room C140 06.11.2024 09:15 - 13:00 Cours PER 21, Room C140 13.11.2024 09:15 - 13:00 Cours PER 21, Room C140 20.11.2024 09:15 - 13:00 Cours PER 21, Room C140 27.11.2024 09:15 - 13:00 Cours PER 21, Room C140 04.12.2024 09:15 - 13:00 Cours PER 21, Room C140 11.12.2024 09:15 - 13:00 Cours PER 21, Room C140 18.12.2024 09:15 - 13:00 Cours PER 21, Room C140 -
Assessments methods
Written exam - AS-2024, Session d'hiver 2025
Date 10.02.2025 14:00 - 15:30 Assessments methods By rating Descriptions of Exams Selon modalité A de l'annexe du plan d'études en informatique
Comment Closed book exam
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Assignment
Valid for the following curricula: Additional Courses in Sciences
Version: ens_compl_sciences
Paquet indépendant des branches > Advanced courses in Computer Science (Bachelor level)
Additional Programme Requirements to the MSc in Bioinformatics and Computational Biology [MA]
Version: 2022_1/V_01
Additional Programme Requirements to the MSc Bioinformatics and Computational Biology > Advanced courses in Computer Science (Bachelor level)
Additional Programme Requirements to the MSc in Computer Science [MA]
Version: 2022_1/V_01
Supplement to the MSc in Computer science > Advanced courses in Computer Science (Bachelor level)
Additional Programme Requirements to the MSc in Digital Neuroscience [MA]
Version: 2023_1/V_01
Supplement to the MSc in Computer science > Advanced courses in Computer Science (Bachelor level)
Additional TDHSE programme in Computer Science
Version: 2022_1/V_01
Additional TDHSE Programme Requirements for Computer Science 60 or +30 > Programmes 60 or +30 > Additional Programme Requirements to Computer Science 60 > Additional TDHSE programme for Computer Science 60 (from AS2020 on)
Ba - Business Informatics - 180 ECTS
Version: 2020-SA_V02
2nd year 60 ECTS > Databases
Ba - Economics - 180 ECTS
Version: 2018-SA_V03
3nd year 60 ECTS > Elective courses - Maximum 18 ECTS > Wahlkurse in der Wirtschaftsinformatik für Volkswirtschaftslehre 180 ECTS - HS 2018 - 3. Jahr > Databases
Computer Science 120
Version: 2022_1/V_01
BSc in Computer science, Major, 2nd-3rd year > Computer Science 2nd and 3th year (from AS2021 on)
Computer Science 30
Version: 2022_1/V_01
Minor in Computer science 30 > Computer Science, Minor 30 or 60 ECTS elective (from AS2019 on)
Computer Science 60
Version: 2022_1/V_01
Minor in Computer Science 60 > Computer Science, Minor 30 or 60 ECTS elective (from AS2019 on)
Computer Science 50 [BSc_SI/BA_SI]
Version: 2022_1/V_01
BSc_SI/BA_SI, Computer science 50 ECTS, 1st-3rd years > BSc_SI/BA_SI, Computer Science, 2nd-3rd years, elective courses for 50 ECTS (from AS2020 on)
Computer Science [3e cycle]
Version: 2015_1/V_01
Continuing education > Advanced courses in Computer Science (Bachelor level)
Computer Science [POST-DOC]
Version: 2015_1/V_01
Continuing education > Advanced courses in Computer Science (Bachelor level)
Computer Science [TDHSE] 60
Version: 2022_1/V_01
Minor in Computer Science (TDHSE) 60 > Computer Science Minor TDHSE 60 ECTS (from SA2021 on)
Education / Psychology 120
Version: SA14_BA_fr_v02
CTC / BP1.8-F
Education / Psychology 120
Version: SA20_BA_bil_v01
BP1.7-B Bereichsübergreifende Kompetenzen / Compétences transversales
Education / Psychology 120
Version: SA20_BA_de_v01
BP1.7-D Bereichsübergreifende Kompetenzen
Educational Sciences 120
Version: SA14_BA_fr_v02
CTC / BS1.8-F
Educational Sciences 120
Version: SA20_BA_de_v01
BE1.8-D Bereichsübergreifende Kompetenzen
Educational Sciences 120
Version: SA20_BA_bil_v01
Variante A > BE1.8a-B Compétences transversalesVariante B > BE1.7b-B Bereichsübergreifende Kompetenzen
Ma - Accounting and Finance - 120 ECTS
Version: 2024-SP_V02 - DD Caen
UniFr courses > Modules "Data Analytics" and "Audit et Fiscalité": min. 2 courses > DAT: Data Analytics > Databases
Ma - Accounting and Finance - 90 ECTS
Version: 2021-SA_V02 - Dès SA-2024
Course - 72 ECTS > Modules "Data Analytics" and "Audit et Fiscalité": min. 3 courses > DAT: Data Analytics > Core courses > Databases
Ma - Business Communication : Business Informatics - 90 ECTS
Version: 2024-SA_V03
Information Management > Cours > Modules management > DAT: Data Analytics > Databases
Ma - Business Informatics - 90 ECTS
Version: 2020-SA_V01
Classes - min. 45 ECTS > Modules management - max. 15 ECTS > DAT: Data Analytics > Databases
Ma - Data Analytics & Economics - 90 ECTS
Version: 2020-SA_V02
Courses min 63 ECTS > Mandatory Modules (45 to 63 ECTS) > Module I: Data Analytics (Data) > Mandatory courses > Databases
Ma - International and European Business - 90 ECTS
Version: 2021-SA_V01 - dès SA-2024
Courses > Modules > One complete module taken from the following list > DAT Module validation element group > DAT: Data Analytics > Core courses > DatabasesCourses > Modules > Elective courses of the management modules > Elective courses of the management modules > Elective courses for the Master in management > Databases
Ma - Management - 90 ECTS
Version: 2021-SA_V03 - Dès SA-2024
Courses: min. 72 ECTS > Modules - min 54 ECTS > Elective courses taken outside a validating module > Elective courses in the management modules > Elective courses for the Master in management > DatabasesCourses: min. 72 ECTS > Modules - min 54 ECTS > Minimum of 3 modules with a minimum of 18 ECTS and 2 core courses > DAT Module validation element group > DAT: Data Analytics > Core courses > Databases
Ma - Marketing - 90 ECTS
Version: 2021-SA_V03 - Dès SA-2024
Courses - 72 ECTS > Complementary module > DAT Module validation element group > DAT: Data Analytics > Core courses > Databases
MiMa - Business Informatics - 30 ECTS
Version: 2020-SA_V01
Cours > Modules management > DAT: Data Analytics > Databases
MiMa - Data Analytics - 30 ECTS
Version: 2020-SA_V01
À choix 18 crédits ECTS > Databases
MiMa - Gestion d'entreprise - 30 ECTS
Version: 2021-SA_V01
Elective courses - 30 ECTS > DAT: Data Analytics > Databases
Pre-Master-Programme to the MSc in Bioinformatics and Computational Biology [PRE-MA]
Version: 2022_1/V_01
Prerequisite to the MSc in Bioinformatics and Computational Biology > Advanced courses in Computer Science (Bachelor level)
Pre-Master-Programme to the MSc in Computer Science [PRE-MA]
Version: 2022_1/V_01
Prerequisite to the MSc in Computer science > Advanced courses in Computer Science (Bachelor level)
Pre-Master-Programme to the MSc in Digital Neuroscience [PRE-MA]
Version: 2023_1/V_01
Pre-Master-Programme to the MSc in Digital Neuroscience > Advanced courses in Computer Science (Bachelor level)
Psychology 180
Version: SA19_BA_fr_de_bil_v02
Module 11 > M11 Soft skills