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| MATH0008-1

 | Probablity and Statistics

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| Duration : | 30h Th, 30h Pr | |
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| Credits/ECTS : |
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| Holder(s) : | Tri‑An Banh | |
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| Course contents :
| Descriptive statistic. Probability theory elements, such those used in modern statistic. Introduction to the stochastic processes and queueing theory. Inductive statistic. Introduction to information theory. | |
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| Course objective :
| Students will be able to understand actual applications of probability theory and statistic. This course also provides pointers towards more advanced matters so that they will be able to solve more sophisticated problems in their future career. | |
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| Prerequisites :
| Analysis courses given to bachelors | |
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| Workshops :
| Practical works are teached before theoric course | |
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| Organization :
| 30h + 30h Practical works are teached by 6 monitors 2nd 2nd semester | |
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| Written notes :
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Reference works:
Introduction to Probability and Statistics. Principles and Applications For Engineering and the Computing Sciences. Milton J.S.; Arnold Jesse C. McGraw-Hill Inc. 1998. Third Edition.ISBN : 0-07-113535-9
Probability and Statistics for Engineers and Scientists. Ronald E. Walpole; Raymond H. Meyers; Sharon L. Meyers. Prentice Hall 1998. Sixth Edition. ISBN : 0-13-840208-6.
Course notes, exercises and resumes published by AEES
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Required readings:
Course notes, exercises and resumes published by AEES
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Suggested readings:
Works and articles given in bibliography. These aren't necessary to make a succes of the examination.
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| Assessment :
| Examination with open book in 1st session; oral examination with book closed in 2e session. | |
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| Contacts :
| Professor : Tri An BANH; tri-an.banh@ulg.ac.be Secretary : Claire MONTI; claire.monti@ulg.ac.be Assistants : Renaud DUMONT; renaud.dumont@ulg.ac.be + Hubert DEPIREUX; hdepireux@ulg.ac.be | |
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