Study programmeFrançais
Datawarehousing et Datamining
Programme component of Master's Degree in Mathematics à la Faculty of Science
CodeTypeHead of UE Department’s
contact details
Teacher(s)
US-M1-SCMATH-014-MOptional UEWIJSEN JozefS832 - Systèmes d'information
  • WIJSEN Jozef

Language
of instruction
Language
of assessment
HT(*) HTPE(*) HTPS(*) HR(*) HD(*) CreditsWeighting Term
  • Français
Français30030006.006.00

AA CodeTeaching Activity (AA) HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term Weighting
S-INFO-027Datawarehousing and Datamining300000Q2
S-INFO-888Datawarehousing and Datamining: Practical Work003000Q2
Unité d'enseignement

Objectives of Programme's Learning Outcomes

  • Carry out major projects.
    • Independently carry out a major project related to mathematics or mathematical applications. This entails taking into account the complexity of the project, its objectives and the resources available to carry it out.
    • Present the objectives and results of a project orally and in writing.
  • Apply innovative methods to solve an unprecedented problem in mathematics or within its applications.
    • Mobilise knowledge, and research and analyse various information sources to propose innovative solutions targeted unprecedented issues.
    • Appropriately make use of computer tools, as required by developing a small programme.
  • Communicate clearly.
    • Communicate the results of mathematical or related fields, both orally and in writing, by adapting to the public.
  • Adapt to different contexts.
    • Demonstrate thoroughness, independence, creativity, intellectual honesty, and ethical values.

Learning Outcomes of UE

See the (unique) AA in this UE.

Content of UE

See the (unique) AA in this UE.

Prior Experience

Not applicable

Type of Assessment for UE in Q1

  • N/A

Q1 UE Assessment Comments

Not applicable

Type of Assessment for UE in Q2

  • Presentation and works
  • Written examination

Q2 UE Assessment Comments

See the (unique) AA in this UE.

Type of Assessment for UE in Q3

  • Presentation and works
  • Written examination

Q3 UE Assessment Comments

See the (unique) AA in this UE.

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
S-INFO-027
  • Cours magistraux
  • Conférences
S-INFO-888
  • Préparations, travaux, recherches d'information

Mode of delivery

AAMode of delivery
S-INFO-027
  • Face to face
S-INFO-888

Required Reading

AA
S-INFO-027
S-INFO-888

Required Learning Resources/Tools

AARequired Learning Resources/Tools
S-INFO-027Web site with course notes, slides, and past examinations.

Pang-Ning Tan, Michael Steinbach, Vipin Kumar: Introduction to Data Mining. Addison-Wesley 2005, ISBN 0-321-32136-7
(chapters available online)

Weka data mining software
S-INFO-888Not applicable

Recommended Reading

AA
S-INFO-027
S-INFO-888

Recommended Learning Resources/Tools

AARecommended Learning Resources/Tools
S-INFO-027Not applicable
S-INFO-888Not applicable

Other Recommended Reading

AAOther Recommended Reading
S-INFO-027Not applicable
S-INFO-888Not applicable
Date de génération : 17/03/2017
20, place du Parc, B7000 Mons - Belgique
Tél: +32 (0)65 373111
Courriel: info.mons@umons.ac.be