Study programme 2021-2022Français
Signal processing
Programme component of Bachelor's in Computer Science à la Faculty of Science

CodeTypeHead of UE Department’s
contact details
Teacher(s)
US-B3-SCINFO-016-MOptional UEDUTOIT ThierryF105 - Information, Signal et Intelligence artificielle
  • DUTOIT Thierry

Language
of instruction
Language
of assessment
HT(*) HTPE(*) HTPS(*) HR(*) HD(*) CreditsWeighting Term
  • Anglais
Anglais163200055.001st term

AA CodeTeaching Activity (AA) HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term Weighting
I-ISIA-030Signal Processing 11632000Q1100.00%

Programme component
Prérequis
Prérequis
Prérequis
Prérequis

Objectives of Programme's Learning Outcomes

  • Understand the fundamentals of computer science
    • Show an understanding and deep knowledge of the concepts of computer science and mathematical formalisms used in the field of computer science
    • Solve exercises and computer problems by applying basic knowledge in the various disciplines of computer science
  • Demonstrate basic knowledge and know-how in related fields
    • Have a good knowledge of English in order to read and understand scientific texts, especially in the field of computer science.
    • Demonstrate knowledge and basic skills in science and technology.
  • Understand the fundamentals related to scientific methods
    • Develop skills of abstraction and modelling through a conceptual and scientific approach
    • Conduct rigorous reasoning based on scientific arguments
  • Understand the fundamentals of communication
    • Have a good command of language and communication techniques.

Learning Outcomes of UE

understand the theory required for developing a library of basic digital signal processing components (sampling, convolution, filtering, poles and zeros in the z plane, FFT, sub-band analysis)

Content of UE

linear time-invariant digital systems; frequency analysis of digital signals and systems; Shannon theorem and sampling theory; discrete (and Fast) Fourier Transform; digital filters (including elements of digital filter synthesis); simple digital system in PYTHON.

Prior Experience

Not applicable

Type of Assessment for UE in Q1

  • Presentation and/or works
  • Written examination

Q1 UE Assessment Comments

Project report = 35%; writen exam = 65%

Type of Assessment for UE in Q3

  • Written examination

Q3 UE Assessment Comments

writen exam = 100%

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-ISIA-030
  • Cours magistraux
  • Exercices dirigés
  • Travaux pratiques
  • Projet sur ordinateur

Mode of delivery

AAMode of delivery
I-ISIA-030
  • Mixed

Required Reading

AARequired Reading
I-ISIA-030Note de cours - Traitement du Signal (1 et 2) - Thierry Dutoit

Required Learning Resources/Tools

AARequired Learning Resources/Tools
I-ISIA-030Not applicable

Recommended Reading

AA
I-ISIA-030

Recommended Learning Resources/Tools

AARecommended Learning Resources/Tools
I-ISIA-030Not applicable

Other Recommended Reading

AAOther Recommended Reading
I-ISIA-030AUGER, F. (1999) Introduction à la théorie du signal et de l'information, 461 pp. Paris : TechnipDENBIGH, P. (1998) System Analysis and Signal Processing, 513 pp. Harlow : Addison-WesleyBAHER, H. (2001) Analog and Digital Signal Processing, 497 pp. Chichester : Wiley & SonsLYONS, R.G. (1998) Understanding Digital Signal Processing, 517pp. Harlow : Addison-Wesley

Grade Deferrals of AAs from one year to the next

AAGrade Deferrals of AAs from one year to the next
I-ISIA-030Authorized
(*) 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 : 20/05/2021
Date de dernière génération automatique de la page : 06/05/2022
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