Study programme 2019-2020Français
Programming and Algorithms
Programme component of Master's in Computer Engineering and Management (Charleroi (Hor. décalé)) à la Faculty of Engineering

Students are asked to consult the ECTS course descriptions for each learning activity (AA) to know what assessment methods are planned for the end of Q3

CodeTypeHead of UE Department’s
contact details
Teacher(s)
UI-M1-IRIGIG-892-COptional UEBENJELLOUN MohammedF114 - Informatique, Logiciel et Intelligence artificielle
  • BENJELLOUN Mohammed

Language
of instruction
Language
of assessment
HT(*) HTPE(*) HTPS(*) HR(*) HD(*) CreditsWeighting Term
  • Français
Français422800077.001st term

AA CodeTeaching Activity (AA) HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term Weighting
I-INFO-101Programming and Algorithms4228000Q1100.00%
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).
    • 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.
    • Evaluate the approach and results for their adaptation (modularity, optimisation, quality, robustness, reliability, upgradeability, etc.).
  • 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.

Learning Outcomes of UE

master the basics of programming with C++ language; explain advanced concepts of the object oriented algorithmic; become familiar with the concepts, the design and implementation of algorithms with C++; build good programs: correct, effective, robust, relatively easy to understand and to maintain

Content of UE

The main concepts needed to develop a program C++ : If statements; Loops in C++; Arrays; Functions; Pointers; Structures; Classes; Inheritance, Templates, Standard Template Library (STL).

Prior Experience

Not applicable

Type of Assessment for UE in Q1

  • Oral examination
  • Practical test

Q1 UE Assessment Comments

Evaluated exercise : 30% of the mark. A project 10% of the mark. Oral examination : 60% of the mark The evaluated exercise and the oral examination are practical exercises where the student must develop an application with C++ language. The student has to explain and justify the correctness of his program with various sets of data. Questions are asked to the student who has to comment all or a part of the source code of his program.

Type of Assessment for UE in Q3

  • Oral examination
  • Practical Test

Q3 UE Assessment Comments

Oral examination : 100% of the mark. The oral examination is practical exercises where the student must develop an application with C++ language. The student has to explain and justify the correctness of his program with various sets of data. Questions are asked to the student who has to comment all or a part of the source code of his program.

Type of Resit Assessment for UE in Q1 (BAB1)

  • N/A

Q1 UE Resit Assessment Comments (BAB1)

Not applicable

Type of Teaching Activity/Activities

AAType of Teaching Activity/Activities
I-INFO-101
  • Cours magistraux
  • Ateliers et projets encadrés au sein de l'établissement

Mode of delivery

AAMode of delivery
I-INFO-101
  • Face to face

Required Reading

AA
I-INFO-101

Required Learning Resources/Tools

AARequired Learning Resources/Tools
I-INFO-101Not applicable

Recommended Reading

AA
I-INFO-101

Recommended Learning Resources/Tools

AARecommended Learning Resources/Tools
I-INFO-101Not applicable

Other Recommended Reading

AAOther Recommended Reading
I-INFO-101Not applicable

Grade Deferrals of AAs from one year to the next

AAGrade Deferrals of AAs from one year to the next
I-INFO-101Authorized
(*) 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 génération : 13/07/2020
20, place du Parc, B7000 Mons - Belgique
Tél: +32 (0)65 373111
Courriel: info.mons@umons.ac.be