Study programme 2023-2024Français
Artificial intelligence
Programme component of Master's in Computer Engineering and Management : Specialist Focus on Artificial Intelligence and Decision Aid (MONS) (day schedule) à la Faculty of Engineering

CodeTypeHead of UE Department’s
contact details
Teacher(s)
UI-M1-IRIGIA-711-MCompulsory UEMAHMOUDI SidiF114 - Informatique, Logiciel et Intelligence artificielle
  • MAHMOUDI Sidi

Language
of instruction
Language
of assessment
HT(*) HTPE(*) HTPS(*) HR(*) HD(*) CreditsWeighting Term
  • Français
Français181800033.001st term

AA CodeTeaching Activity (AA) HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term Weighting
I-ILIA-026Artificial Intelligence1818000Q1100.00%

Programme component

Objectives of Programme's Learning Outcomes

  • Mobilise a structured set of scientific knowledge and skills and specialised techniques in order to carry out computer and management engineering missions, with a focus on Innovation and Information Systems, using their expertise and adaptability.
    • 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.
    • Identify and discuss possible applications of new and emerging technologies in the field of information technology and sciences and quantifying and qualifying business management.
    • Assess the validity of models and results in view of the state of science and characteristics of the problem.
  • 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).
    • 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.).
  • Plan, manage and lead projects in view of their objectives, resources and constraints, ensuring the quality of activities and deliverables.
    • Assess the approach and achievements, regulate them in view of the observations and feedback received.
    • Respect deadlines and timescales
  • Work effectively in teams, develop leadership, and make decisions in multidisciplinary, multicultural and international contexts.
    • Interact effectively with others to carry out common projects in various contexts (multidisciplinary, multicultural, and international).
    • Make decisions, individually or collectively, taking into account the parameters involved (human, technical, economic, societal, ethical and environmental).
  • Communicate and exchange information in a structured way - orally, graphically and in writing, in French and in one or more other languages - scientifically, culturally, technically and interpersonally, by adapting to the intended purpose and the relevant public.
    • Use and produce scientific and technical documents (reports, plans, specifications) adapted to the intended purpose and the relevant public.
  • Adopt a professional and responsible approach, showing an open and critical mind in an independent professional development process.
    • Show an open and critical mind by bringing to light technical and non-technical issues of analysed problems and proposed solutions.
    • Exploit the different means available in order to inform and train independently.
  • Contribute by researching the innovative solution of a problem in engineering sciences.
    • Construct a theoretical or conceptual reference framework, formulate innovative solutions from the analysis of scientific literature, particularly in new or emerging disciplines.
    • Develop and implement conceptual analysis, numerical modelling, software implementations, experimental studies and behavioural analysis.
    • Communicate, in writing and orally, on the approach and its results in highlighting both the scientific criteria of the research conducted and the theoretical and technical innovation potential, as well as possible non-technical issues.

Learning Outcomes of UE

UE composed of 2 AAs :
  -  I-ILIA-028 : AA "Introduction to Artificial Intelligence and Intelligents Agents" 
  -  I-ILIA-029 : AA "Deep Learning"

UE Content: description and pedagogical relevance

UE composed of 2 AAs :
  -  I-ILIA-028 : AA "Introduction to Artificial Intelligence and Intelligents Agents" 
  -  I-ILIA-029 : AA "Deep Learning"

Prior Experience

Not applicable

Type of Teaching Activity/Activities

AAType of Teaching Activity/Activities
I-ILIA-026
  • Cours magistraux
  • Conférences
  • Travaux pratiques
  • Projet sur ordinateur

Mode of delivery

AAMode of delivery
I-ILIA-026
  • Face-to-face

Required Learning Resources/Tools

AARequired Learning Resources/Tools
I-ILIA-026Russel, S. Et Norvig, P., (2010) Artificial Intelligence : A Modern Approach 3rd edition, Pearson

Recommended Learning Resources/Tools

AARecommended Learning Resources/Tools
I-ILIA-026Not applicable

Other Recommended Reading

AAOther Recommended Reading
I-ILIA-026Not applicable

Grade Deferrals of AAs from one year to the next

AAGrade Deferrals of AAs from one year to the next
I-ILIA-026Unauthorized

Term 1 Assessment - type

AAType(s) and mode(s) of Q1 assessment
I-ILIA-026
  • 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
I-ILIA-026Written exam
Practical exam on computer

Resit Assessment - Term 1 (B1BA1) - type

AAType(s) and mode(s) of Q1 resit assessment (BAB1)
I-ILIA-026
  • Written examination - Face-to-face
  • Production (written work, report, essay, collection, product, etc.) - To be submitted in class

Term 3 Assessment - type

AAType(s) and mode(s) of Q3 assessment
I-ILIA-026
  • 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
I-ILIA-026Idem Q1
(*) 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 : 15/05/2023
Date de dernière génération automatique de la page : 27/04/2024
20, place du Parc, B7000 Mons - Belgique
Tél: +32 (0)65 373111
Courriel: info.mons@umons.ac.be