COURSE PRESENTATION FORM - PROBABILITY THEORY AND STATISTICS - 2009/2010
COURSE NAME: Probability Theory and Statistics
COURSE CODE: 70013 (BSc) / 70007 (BSc Old)
LECTURER: Mario Fedrizzi
TEACHING ASSISTANT: Paolo Di Sia
TEACHING LANGUAGE: English
CREDIT POINTS: 4
LECTURE HOURS: 24
EXERCISE HOURS: 12
TIMESPAN: 28.09.2009 - 23.01.2010
TIMETABLE: see
Timetable Page
OFFICE HOURS LECTURER: During lecture span, Wednesday, 15:00-17:00, starting from 21.10.2009, Room C 5.01, SER C 5
OFFICE HOURS TEACHING ASSISTANT: Time to be determined
PREREQUISITES
Basic concepts of Analysis.
OBJECTIVES
Enable students to model random experiments using basic methods of probability theory and to apply statistical estimation techniques to sample data.
SYLLABUS
Describing and summarizing data: data and variables, description of the observed distributions, histograms, linear relationships, multiplicative and additive structures in two-way tables.
Probability and probability distributions: observations and events, the axioms of probability theory, conditional probabilities, discrete and continuous random variables, mean values and variances, special discrete and continuous distributions.
Inferences based on samples: Chebyshev’s rule, the central limit theorem, estimation with confidence intervals, the t-statistic, one-sided and two-sided tests about a population mean.
TEACHING FORMAT
Frontal lectures
ASSESSMENT
- Mid-term written examination (40%)
- Final written examination (60%).
READING LIST
Textbook:
- James T. McClave, P. George Benson, Terry Sincich, A First Course in Business Statistics, Prentice –Hall, 2001.
SOFTWARE USED
None.
LEARNING OUTCOME
Provide models and methods of probability theory and statistics that lead to improve the capacity of solving quality control and reliability assessment problems.
COURSE PAGE
Reserve Collection