Génie logiciel
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Teaching
Details
Faculty Faculty of Science and Medicine Domain Computer Science Code UE-SIN.04023 Languages French Type of lesson Lecture
Level Bachelor Semester SS-2021 Title
French Génie logiciel German Software Engineering English Software engineering Schedules and rooms
Summary schedule Thursday 15:15 - 19:00, Hebdomadaire (Spring semester)
Struct. of the schedule 2+2h par semaine durant 14 semaines Contact's hours 56 Teaching
Responsibles - Pasquier Jacques
Teachers - Pasquier Jacques
Assistants - Durand Arnaud
Description Le cours méthodes orientées objets considère le développement systématique de logiciels selon le principe de la programmation orientée objets.
Bref rappel des principaux concepts de la programmation orientée objets (modularité, encapsulation, héritage, réutilisabilité). Design orienté objets avec une introduction à la notation UML. Etude des Design Patterns. Création d'un framework orienté objets pour la simulation par événements discrets.
(1) B. Meyer. Object-Oriented Software Construction, Prentice Hall, 1997
(2) M. Fowler, UML Distilled, Addison-Wesley, 2000.
(3) E. Gamma, R. Helm, R. Johnson. J. Vlissides, Design Patterns, Addison-Wesley, 2005.Training objectives Une fois le cours et les exercices terminés, l'étudiant-e sera capable:
• de comprendre les fondements de la programmation orientée objets, à savoir les notions de module, d'héritage, de type et de polymorphisme;
• de s'en servir pour structurer ses programmes notamment en utilisant des diagrammes UML de classe et d'interaction;
• d'utiliser les principaux design patterns (singleton, abstract factory, factory et template method, composite, observer, decorator, iterator, strategy, visitor, …) pour améliorer le design et la programmation de ses applications;
• de comprendre la notion de framework logiciel et de hot spots pour créer des applications selon le concept de l'inversion de contrôle.
Au niveau des exercices, l'étudiant-e aura aussi appris à maîtriser les bases du développement logiciel avec des outils performants (Netbeans, Ant, Git, etc).Comments Les unités d’enseignement se composent généralement de deux heures de cours et deux heures d’exercices par semaine.
Nous vous prions de bien vouloir vous conformer aux délais d’inscriptions aux épreuves de la Faculté des sciences et de médecine.Softskills No Off field No BeNeFri Yes Mobility Yes UniPop No -
Dates and rooms
Date Hour Type of lesson Place 25.02.2021 15:15 - 19:00 Cours PER 21, Room G120 04.03.2021 15:15 - 19:00 Cours PER 21, Room G120 11.03.2021 15:15 - 19:00 Cours PER 21, Room G120 18.03.2021 15:15 - 19:00 Cours PER 21, Room G120 25.03.2021 15:15 - 19:00 Cours PER 21, Room G120 01.04.2021 15:15 - 19:00 Cours PER 21, Room G120 15.04.2021 15:15 - 19:00 Cours PER 21, Room G120 22.04.2021 15:15 - 19:00 Cours PER 21, Room G120 29.04.2021 15:15 - 19:00 Cours PER 21, Room G120 06.05.2021 15:15 - 19:00 Cours PER 21, Room G120 20.05.2021 15:15 - 19:00 Cours PER 21, Room G120 27.05.2021 15:15 - 19:00 Cours PER 21, Room G120 -
Assessments methods
Oral exam - SS-2021, Session d'été 2021
Date 11.06.2021 08:00 - 18:00 Assessments methods By rating Comment Oral exam in presence / 15 minutes / closed book exam
Oral exam - SS-2021, Autumn Session 2021
Date 10.09.2021 14:00 - 18:00 Assessments methods By rating Comment Oral exam in presence / 15 minutes / 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 > Génie logiciel I / Software Engineering I
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/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 elective (from SA2021 on)
MiBa - Computer Management - 60 ECTS
Version: 2021-SA_V03
Register in the option corresponding to your situation. > Standard > Min. 18 ECTS from the list > Génie logiciel I / Software Engineering I
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)