Study programme 2018-2019Français
Big Data
Programme component of Bachelor's Degree in Engineering à la Faculty of Engineering
CodeTypeHead of UE Department’s
contact details
Teacher(s)
UI-B3-IRCIVI-306-MCompulsory UEMAHMOUDI SidiF114 - Informatique
  • BENJELLOUN Mohammed
  • MAHMOUDI Sidi

Language
of instruction
Language
of assessment
HT(*) HTPE(*) HTPS(*) HR(*) HD(*) CreditsWeighting Term
  • Français
Français184200055.001st term

AA CodeTeaching Activity (AA) HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term Weighting
I-INFO-024Data Modelling (Project)1842000Q1100.00%
Programme component

Objectives of Programme's Learning Outcomes

  • Implement an engineering approach dealing with a set problem taking into account technical, economic and environmental constraints
    • Understand the stages of an engineering approach
    • Identify and describe the problem to be solved and the functional need (of prospective clients) to be met considering the state of technology
    • Design, evaluate and optimise solutions addressing the problem
    • Implement a chosen solution in the form of a drawing, a schema, a plan, a model, a prototype, software and/or digital model
    • Communicate the approach, results and prospects to a client or a board
    • Identify and acquire the information and skills needed to solve the problem
  • Understand the theoretical and methodological fundamentals in science and engineering to solve problems involving these disciplines
    • Identify, describe and explain the basic principles of engineering particularly in their specialising field
    • Select and rigorously apply knowledge, tools and methods in sciences and engineering to solve problems involving these disciplines
  • Understand the fundamentals of project management to carry out a set project, individually or as part of a team
    • Ensure a project is tracked and documented according to its specifications
    • Adapt the approach and achievements taking into account the feedback received
    • Respect deadlines and timescales
  • Collaborate, work in a team
    • Interact effectively with other students to carry out collaborative projects.
    • Identify and appropriately implement the different ways of working in a group
  • Communicate in a structured way - both orally and in writing, in French and English - giving clear, accurate, reasoned information
    • Argue to and persuade customers, teachers and a board both orally and in writing
    • Use several methods of written and graphic communication: text, tables, equations, sketches, maps, graphs, etc.
    • Give an effective oral presentation, using presentation materials appropriately
  • Demonstrate thoroughness and independence throughout their studies
    • Identify the different fields and participants in engineering

Learning Outcomes of UE

After this course, students will have an introduction to Big Data and will be able to: build a data model with the relational algebra; master the basics of the main methods, concepts, models and functionalities of relational databases; prove the correctness of the model and ensure the integrity and the security of the data; develop a collaborative and communicative attitude during the realisation of a project and its written and oral reports with a team of students.

Content of UE

Overview of Big Data and data models ; concepts and functionalities of a database management system; relational data model; implementation of a database (analysis, design, data structures, normalisation, etc.); integrity and security conditions. Tutorials are dedicated to the implementation of a realistic database.

Prior Experience

I-INFO-001 - Structures de données et algorithmes

Type of Assessment for UE in Q1

  • Presentation and/or works
  • Oral examination
  • Written examination

Q1 UE Assessment Comments

Not applicable

Type of Assessment for UE in Q3

  • Presentation and/or works
  • Oral examination
  • Written examination

Q3 UE Assessment Comments

The evaluation is based on the application carried out. It includes the technical quality of the solution suggested and the argumentation of the choices made as well as the precision of the final report and the presentation related to it.

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-024
  • Cours magistraux
  • Conférences
  • Ateliers et projets encadrés au sein de l'établissement

Mode of delivery

AAMode of delivery
I-INFO-024
  • Face to face

Required Reading

AA
I-INFO-024

Required Learning Resources/Tools

AARequired Learning Resources/Tools
I-INFO-024Not applicable

Recommended Reading

AA
I-INFO-024

Recommended Learning Resources/Tools

AARecommended Learning Resources/Tools
I-INFO-024Not applicable

Other Recommended Reading

AAOther Recommended Reading
I-INFO-024Not applicable

Grade Deferrals of AAs from one year to the next

AAGrade Deferrals of AAs from one year to the next
I-INFO-024Authorized
(*) 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 : 02/05/2019
20, place du Parc, B7000 Mons - Belgique
Tél: +32 (0)65 373111
Courriel: info.mons@umons.ac.be