Study programme 2019-2020 | Français | ||
Data Science | |||
Programme component of Bachelor's in Engineering 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 |
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Code | Type | Head of UE | Department’s contact details | Teacher(s) |
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UI-B3-IRCIVI-313-M | Compulsory UE | SIEBERT Xavier | F151 - Mathématique et Recherche opérationnelle |
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Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Credits | Weighting | Term |
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| Anglais, Français | 46 | 38 | 0 | 0 | 0 | 7 | 7.00 | 1st term |
AA Code | Teaching Activity (AA) | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term | Weighting |
---|---|---|---|---|---|---|---|---|
I-TCTS-030 | Signal Processing 1 | 16 | 32 | 0 | 0 | 0 | Q1 | 57.00% |
I-MARO-014 | Data Mining | 30 | 6 | 0 | 0 | 0 | Q1 | 43.00% |
Programme component | ||
---|---|---|
UI-B1-IRCIVI-003-M Engineering Mathematics 1 | ||
UI-B2-IRCIVI-002-M Applied Mathematics | ||
UI-B2-IRCIVI-003-M Probability and Statistics | ||
UI-B2-IRCIVI-009-M Fields, Signals and Systems |
Objectives of Programme's Learning Outcomes
Learning Outcomes of UE
- analyze various kinds of data and signals - understand the underlying theory for the development of basic components of a numerical signal processing system - implement these components with MATLAB - understand and explain the theory, models and techniques used for statistical data analysis - analyse datasets with a given software (MATLAB, R, Weka, ...) - interpret the results from the software, showing an understanding of the theory
Content of UE
- linear and invariant numerical systems; frequency analysis of numerical signals and systems; Shannon theorem and sampling; discrete Fourier transform; spectral analysis of random signals; numerical filters; simple systems under MATLAB - descriptive techniques for data analysis (principal components analysis, discriminant factorial analysis) - classical models of data analysis (analysis of variance, linear regression) - data mining (classification and clustering)
Prior Experience
Algebra, Analysis, functions of complex variables
Type of Assessment for UE in Q1
Q1 UE Assessment Comments
Weights : Signal processing : 4/7 Statistical Data Analysis : 3/7
Type of Assessment for UE in Q3
Q3 UE Assessment Comments
idem Q1
Type of Resit Assessment for UE in Q1 (BAB1)
Q1 UE Resit Assessment Comments (BAB1)
n/a
Type of Teaching Activity/Activities
AA | Type of Teaching Activity/Activities |
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I-TCTS-030 |
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I-MARO-014 |
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Mode of delivery
AA | Mode of delivery |
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I-TCTS-030 |
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I-MARO-014 |
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Required Reading
AA | |
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I-TCTS-030 | |
I-MARO-014 |
Required Learning Resources/Tools
AA | Required Learning Resources/Tools |
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I-TCTS-030 | Not applicable |
I-MARO-014 | - slides of oral presentations (theory and examples) - problem sets |
Recommended Reading
AA | |
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I-TCTS-030 | |
I-MARO-014 |
Recommended Learning Resources/Tools
AA | Recommended Learning Resources/Tools |
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I-TCTS-030 | Not applicable |
I-MARO-014 | Sans objet |
Other Recommended Reading
AA | Other Recommended Reading |
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I-TCTS-030 | AUGER, 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 |
I-MARO-014 | R.O.Duda, P.E.Hart, D.G.Stork. "Pattern Classification". John Wiley and Sons, 2000. I. H. Witten, E. Frank. Data Mining : "Practical Machine Learning Tools and Techniques with Java Implementations". Morgan Kaufmann, 2010 J-M. Azaïs, J-M. Bardet, "Le Modèle Linéaire par l'exemple : Régression, Analyse de la Variance et Plans d'Expériences. Illustrations numériques avec les logiciels R, SAS et Splus", Dunot, 2006 R.E.Walpole, R.H.Myers, S.L.Myers, K.Ye, "Probability and Statistics for Engineers and Scientists", Prentice Hall, 2012 |
Grade Deferrals of AAs from one year to the next
AA | Grade Deferrals of AAs from one year to the next |
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I-TCTS-030 | Authorized |
I-MARO-014 | Authorized |