Scheda programma d'esame
STATISTICS I
FRANCO FLANDOLI
Academic year2016/17
CourseENGINEERING MANAGEMENT
Code161AA
Credits6
PeriodSemester 1
LanguageItalian

ModulesAreaTypeHoursTeacher(s)
STATISTICA IMAT/06LEZIONI60
FRANCO FLANDOLI unimap
MARCO ROMITO unimap
Programma non disponibile nella lingua selezionata
Learning outcomes
Knowledge
The student will acquire knowledge on the basic ideas of Probability and Statistics and will be able to apply these ideas to statistical analysis. The student will develop the ability to correctly apply these mathematical tools to some very simple physical and engineering problems
Assessment criteria of knowledge
In the written exam (2 hours, two or three mandatory exercises) the student must demonstrate her/his ability to put into practice the ideas and tools learnt during the course and apply them to some simple problems. During the oral exam the student must be able to demonstrate his/her knowledge of the course material, to explain correctly the topics presented during the course and to discuss thoughtfully the main ideas.

Methods:

  • Final oral exam
  • Final written exam

Further information:
Final written exam: 75% Final oral exam: 25%

Teaching methods

Delivery: face to face

Learning activities:

  • attending lectures
  • individual study

Attendance: Advised

Teaching methods:

  • Lectures

Syllabus
Probability: definition, conditional probability, independence, random variables, expected value, variance, correlation. Limit theorems: moment generating function, Gaussian random variables, law of large numbers, central limit theorem. Statistics: random samples, estimators, confidence intervals, confidence intervals for Gaussian populations, hypothesis testing for mean, variance and comparison of means.
Bibliography
Required reading: S. Ross, Introduction to Probability and Statistics for Engineers and Scientists. Exercise sheets by the lecturer
Work placement
Yes
Updated: 14/11/2016 17:27