Study programme 2022-2023Français
Outils de conception logicielle
Programme component of Master's in Computer Engineering and Management (CHARLEROI) (shift schedule) à la Faculty of Engineering

CodeTypeHead of UE Department’s
contact details
Teacher(s)
UI-M1-IRIGIG-306-CCompulsory UEDUPONT StéphaneF105 - Information, Signal et Intelligence artificielle
  • MENS Tom
  • DUPONT Stéphane

Language
of instruction
Language
of assessment
HT(*) HTPE(*) HTPS(*) HR(*) HD(*) CreditsWeighting Term
  • Français
Français183000044.001st term

AA CodeTeaching Activity (AA) HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term Weighting
S-INFO-892Software Modelling oriented object1812000Q160.00%
I-ILIA-102Java modeling and programming018000Q140.00%

Programme component

Objectives of Programme's Learning Outcomes

  • Imagine, design, develop, and implement conceptual models and computer solutions to address complex problems including decision-making, optimisation, management and production as part of a business innovation approach by integrating changing needs, contexts and issues (technical, economic, societal, ethical and environmental).
    • Identify complex problems to be solved and develop the specifications with the client by integrating needs, contexts and issues (technical, economic, societal, ethical and environmental).
    • On the basis of modelling, design a system or a strategy addressing the problem raised; evaluate them in light of various parameters of the specifications.
    • Deliver a solution selected in the form of diagrams, graphs, prototypes, software and/or digital models.
  • Mobilise a structured set of scientific knowledge and skills and specialised techniques in order to carry out computer and management engineering missions, using their expertise and adaptability.
    • Master and appropriately mobilise knowledge, models, methods and techniques specific to computer management engineering.
    • Analyse and model an innovative IT solution or a business strategy by critically selecting theories and methodological approaches (modelling, optimisation, algorithms, calculations), and taking into account multidisciplinary aspects.
    • Assess the validity of models and results in view of the state of science and characteristics of the problem.
  • Contribute by researching the innovative solution of a problem in engineering sciences.
    • Develop and implement conceptual analysis, numerical modelling, software implementations, experimental studies and behavioural analysis.

Learning Outcomes of UE

This course introduces the principles of model-driven object-oriented software development. At the end of the course, the student should:
- understand the importance, needs and specificities of software engineering activities (such as requirements analysis, design, implementation and testing);
- understand the importance and principles of software modeling, model simulation, model execution and code generation;
- use the UML modeling language for analysing and designing software systems;
- use advanced object-oriented software development concepts such as design patterns;
- Know how to use advanced concepts of the Java programming language (such as Collections, lambdas, etc.) and the design of GUIs;

UE Content: description and pedagogical relevance

The UE is composed of two learning activities (see details in the ECTS sheets of each learning activity).

The first learning activity focuses on the aspects of object-oriented software modelling using the UML modelling language. The following visual notations (diagrams) will be studied in theory and put into practice: use case diagrams and semi-structured usage scenarios, class diagrams, sequence diagrams, interaction diagrams, behavioural state diagrams. If time permits, simulation and execution of models will also be covered, as well as meta-modelling and automatic code generation.

The second learning activity focuses on advanced aspects of object-oriented development using a recent version of the Java programming language. It will cover data structures (Collections in Java), functional and parallel programming (lambdas, streams, and threads in Java), GUI user interface development, as well as exception handling. It will also address object-oriented design patterns.

Prior Experience

Data Structures and Algorithms
Object Oriented Methodology
The student should have a good prior knowledge of the object-oriented programming paradigm, as well as practical programming experience with the Java programming language.

Type of Teaching Activity/Activities

AAType of Teaching Activity/Activities
S-INFO-892
  • Cours magistraux
I-ILIA-102
  • Travaux pratiques
  • Travaux de laboratoire
  • Projet sur ordinateur

Mode of delivery

AAMode of delivery
S-INFO-892
  • Face-to-face
I-ILIA-102
  • Face-to-face

Required Learning Resources/Tools

AARequired Learning Resources/Tools
S-INFO-892All resources and tools required for this course will be made available via Moodle, the online e-learning platform of UMONS. There will also be videos containing tutorials on some of the tools or concepts explained during the course.
I-ILIA-102All learning resources and tools required for this cours are available via Moodle, the online e-learning platform of UMONS.

Recommended Learning Resources/Tools

AARecommended Learning Resources/Tools
S-INFO-892All additional reading material will be made accessible through Moodle, the online e-learning platform of UMONS.
I-ILIA-102Not applicable

Other Recommended Reading

AAOther Recommended Reading
S-INFO-892None
I-ILIA-102Not applicable

Grade Deferrals of AAs from one year to the next

AAGrade Deferrals of AAs from one year to the next
S-INFO-892Unauthorized
I-ILIA-102Authorized

Term 1 Assessment - type

AAType(s) and mode(s) of Q1 assessment
S-INFO-892
  • Written examination - Face-to-face
I-ILIA-102
  • Written examination - Face-to-face
  • Production (written work, report, essay, collection, product, etc.) - To be submitted in class

Term 1 Assessment - comments

AATerm 1 Assessment - comments
S-INFO-892The practical and theoretical knowledge of UML software modeling will be assessed on the basis of a written exam.
I-ILIA-102Practical and theoretical knowledge will be assessed on the basis of:
- a written exam asking in particular to write source code.
- the delivery of source code and reports of practical work.

Resit Assessment - Term 1 (B1BA1) - type

AAType(s) and mode(s) of Q1 resit assessment (BAB1)
S-INFO-892
  • N/A - Néant
I-ILIA-102
  • N/A - Néant

Term 3 Assessment - type

AAType(s) and mode(s) of Q3 assessment
S-INFO-892
  • Written examination - Face-to-face
I-ILIA-102
  • Written examination - Face-to-face
  • Production (written work, report, essay, collection, product, etc.) - To be submitted in class

Term 3 Assessment - comments

AATerm 3 Assessment - comments
S-INFO-892The practical and theoretical knowledge of UML software modeling will be assessed on the basis of a written exam.
I-ILIA-102Practical and theoretical knowledge will be assessed on the basis of:
- a written exam.
- the delivery of source code and reports of practical work.
(*) HT : Hours of theory - HTPE : Hours of in-class exercices - HTPS : hours of practical work - HD : HMiscellaneous time - HR : Hours of remedial classes. - Per. (Period), Y=Year, Q1=1st term et Q2=2nd term
Date de dernière mise à jour de la fiche ECTS par l'enseignant : 25/05/2022
Date de dernière génération automatique de la page : 21/06/2023
20, place du Parc, B7000 Mons - Belgique
Tél: +32 (0)65 373111
Courriel: info.mons@umons.ac.be